Machine Learning Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Role

Role: Machine Lreaning Engineer

Location: Alpharetta, GA

Job Description

8+ yrs of experience-Design, develop, and deploy machine learning models using Python

Hand on experience in Tensorflow Keras or Pytorch

Experience in Analyzing complex, high-volume, high-dimensionality data for building Data pipeline

ML Lifecycle

Data Preprocessing

Data Imputation

Feature engineering techniques

Data Synthesize

Data Augmentation

Exploratory Data Analysis

Data Visualization

Model Design & Training

Model design and develop using TensorFlow/Pytorch

Training

Validation

Fine-tuning

Hyper parameter tuning

Transfer learning

Experience in existing CNN,LSTM models

Model Deployment & inferencing

MLOPS

MFLOW

Databricks

NER model

Rest API

Any relational database

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

Flexible work

Healthcare including dental, vision, mental health, and well-being programs

Financial well-being programs such as 401(k) and Employee Share Ownership Plan

Paid time off and paid holidays

Paid parental leave

Family building benefits like adoption assistance, surrogacy, and cryopreservation

Social well-being benefits like subsidized back-up child/elder care and tutoring

Mentoring, coaching and learning programs

Employee Resource Groups

Disaster Relief

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, we'd love to hear from you with your recruiting contact.

Click the following link for more information on your rights as an Applicant

http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Ref. code: 88645

Posted on: Dec 12, 2024

Experience Level: Experienced Professionals

Contract Type: Permanent

Location:

Atlanta, US

Brand: Capgemini

Professional Community: Software Engineering

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.The exceptional EY experience. It's yours to build.EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.<h3>AI/Machine Learning Engineer, Manager Consultant</h3>The opportunityOur Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.<h3>Your key responsibilities</h3>You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.<h3>Skills and attributes for success</h3>This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.<h3>To qualify for the role you must have</h3><ol><li>Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning</li><li>2-4 years of experience directly managing technical teams</li><li>Strong skills in Python.</li><li>Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).</li><li>Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.</li><li>Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.</li><li>A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.</li><li>Experience with MLOps methods and platforms such as MLFlow.</li><li>Experience with CI/CD and test-driven development.</li><li>Experience designing, building, and maintaining ML models, frameworks, and pipelines.</li><li>Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.</li><li>Understanding of data structures, data modelling and software engineering best practices.</li><li>Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.</li><li>Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.</li><li>Experience with containerization and scaling models.</li><li>Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.</li><li>Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.</li><li>Willingness to travel to meet client obligations.</li></ol><h3>Ideally, you'll also have</h3><ol><li>A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.</li><li>Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.</li><li>Experience working with diverse teams to deliver complex solutions.</li><li>Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.</li><li>Experience fine-tuning Generative AI models.</li></ol><h3>What we look for</h3><ol><li>You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We're looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.</li><li>You are curious and purpose driven. We're looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.</li><li>You are inclusive. We're looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.</li></ol><h3>What we offer</h3>We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $124300 to $227,900. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $149,200 to $259,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.Working across assurance, consulting, law,
#J-18808-Ljbffr

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. <h3>AI/Machine Learning Engineer, Manager Consultant </h3>The opportunity Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions. <h3>Your key responsibilities </h3>You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients. You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry. <h3>Skills and attributes for success </h3>This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services. <h3>To qualify for the role you must have </h3><ol><li>Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning </li><li>2-4 years of experience directly managing technical teams </li><li>Strong skills in Python. </li><li>Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG). </li><li>Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries. </li><li>Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases. </li><li>A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions. </li><li>Experience with MLOps methods and platforms such as MLFlow. </li><li>Experience with CI/CD and test-driven development. </li><li>Experience designing, building, and maintaining ML models, frameworks, and pipelines. </li><li>Experience designing and deploying end to end ML workflows on at least one major cloud computing platform. </li><li>Understanding of data structures, data modelling and software engineering best practices. </li><li>Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark. </li><li>Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions. </li><li>Experience with containerization and scaling models. </li><li>Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications. </li><li>Strong mathematical and quantitative skills including calculus, linear algebra, and statistics. </li><li>Willingness to travel to meet client obligations. </li> </ol><h3>Ideally, you'll also have </h3><ol><li>A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them. </li><li>Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field. </li><li>Experience working with diverse teams to deliver complex solutions. </li><li>Strong skills in languages beyond Python: R, JavaScript, Java, C++, C. </li><li>Experience fine-tuning Generative AI models. </li> </ol><h3>What we look for </h3><ol><li>You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We're looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world. </li><li>You are curious and purpose driven. We're looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world. </li><li>You are inclusive. We're looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust. </li> </ol><h3>What we offer </h3>We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $124300 to $227,900. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $149,200 to $259,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Working across assurance, consulting, law, #J-18808-Ljbffr

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.

The exceptional EY experience. It's yours to build.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

​ AI/Machine Learning Engineer, Senior Consultant

The opportunity

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

Your key responsibilities

You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

Skills and attributes for success

This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

To qualify for the role you must have

Bachelor's degree and 3-6 years of full-time working experience in AI and/or Machine Learning

Strong skills in Python.

Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).

Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.

Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.

A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.

Experience with MLOps methods and platforms such as MLFlow.

Experience with CI/CD and test-driven development.

Experience designing, building, and maintaining ML models, frameworks, and pipelines.

Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.

Understanding of data structures, data modelling and software engineering best practices.

Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.

Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.

Experience with containerization and scaling models.

Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.

Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.

Willingness to travel to meet client obligations.

Ideally, you'll also have

A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.

Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.

Experience working with diverse teams to deliver complex solutions.

Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.

Experience fine-tuning Generative AI models.

What we look for

You have an agile, growth-oriented mindset.What you know matters. But the right mindset is just as important in determining success. We're looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.

You are curious and purpose driven. We're looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.

You are inclusive. We're looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.FY25NATAID

What we offer

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105,800 to $174,800. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $127,100 to $198,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.

Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.

Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.

Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

For those living in California, please click here (https://ey-preview.ey.com/content/ey-unified-site/ey-com/local/us/en_us/home/legal-and-privacy/fair-chance-ordinance.html?token=68cf9ed2-94e5-4db9-83cf-5c6aa14619de) for additional information.

EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com

Machine Learning Engineer
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by?a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations?unlock the value of technology and build a more sustainable, more inclusive world.
**Job Role**
**Role:** Machine Lreaning Engineer
**Location:** Alpharetta, GA
**Job Description**
8+ yrs of experience-Design, develop, and deploy machine learning models using Python
1. Hand on experience in Tensorflow Keras or Pytorch
2. Experience in Analyzing complex, high-volume, high-dimensionality data for building Data pipeline
3. ML Lifecycle
4. Data Preprocessing
5. Data Imputation
6. Feature engineering techniques
7. Data Synthesize
8. Data Augmentation
9. Exploratory Data Analysis
10. Data Visualization
11. Model Design & Training
12. Model design and develop using TensorFlow/Pytorch
13. Training
14. Validation
15. Fine-tuning
16. Hyper parameter tuning
17. Transfer learning
18. Experience in existing CNN,LSTM models
19. Model Deployment & inferencing
20. MLOPS
21. MFLOW
22. Databricks
23. NER model
24. Rest API
25. Any relational database
**Life at Capgemini**
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
+ Flexible work
+ Healthcare including dental, vision, mental health, and well-being programs
+ Financial well-being programs such as 401(k) and Employee Share Ownership Plan
+ Paid time off and paid holidays
+ Paid parental leave
+ Family building benefits like adoption assistance, surrogacy, and cryopreservation
+ Social well-being benefits like subsidized back-up child/elder care and tutoring
+ Mentoring, coaching and learning programs
+ Employee Resource Groups
+ Disaster Relief
**Disclaimer**
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, we'd love to hear from you with your recruiting contact.
Click the following link for more information on your rights as an Applicant
http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.
Ref. code: 88645
Posted on: Oct 15, 2024
Experience Level: Experienced Professionals
Contract Type: Permanent
Location:
Atlanta, US
Brand: Capgemini
Professional Community: Software Engineering
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

Machine Learning Engineer Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by?a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations?unlock the value of technology and build a more sustainable, more inclusive world. **Job Role** **Role:** Machine Lreaning Engineer **Location:** Alpharetta, GA **Job Description** 8+ yrs of experience-Design, develop, and deploy machine learning models using Python 1. Hand on experience in Tensorflow Keras or Pytorch 2. Experience in Analyzing complex, high-volume, high-dimensionality data for building Data pipeline 3. ML Lifecycle 4. Data Preprocessing 5. Data Imputation 6. Feature engineering techniques 7. Data Synthesize 8. Data Augmentation 9. Exploratory Data Analysis 10. Data Visualization 11. Model Design & Training 12. Model design and develop using TensorFlow/Pytorch 13. Training 14. Validation 15. Fine-tuning 16. Hyper parameter tuning 17. Transfer learning 18. Experience in existing CNN,LSTM models 19. Model Deployment & inferencing 20. MLOPS 21. MFLOW 22. Databricks 23. NER model 24. Rest API 25. Any relational database **Life at Capgemini** Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: + Flexible work + Healthcare including dental, vision, mental health, and well-being programs + Financial well-being programs such as 401(k) and Employee Share Ownership Plan + Paid time off and paid holidays + Paid parental leave + Family building benefits like adoption assistance, surrogacy, and cryopreservation + Social well-being benefits like subsidized back-up child/elder care and tutoring + Mentoring, coaching and learning programs + Employee Resource Groups + Disaster Relief **Disclaimer** Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, we'd love to hear from you with your recruiting contact. Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion. Ref. code: 88645 Posted on: Oct 15, 2024 Experience Level: Experienced Professionals Contract Type: Permanent Location: Atlanta, US Brand: Capgemini Professional Community: Software Engineering Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

Client Verizon - Rate 65

MLOP is mandatory

Machine Learning Engineer

Location: Alpharetta-GA-USA Hybrid (three days a week)

Duration 12 months

MUST HAVE SKILLS (Most Important):
• Candidates must possess 7+ years of overall software development experience.
• Must have 7+ years of relevant work experience in data ingestion on streaming / real-time platforms.
• Must have 7+ years of recent experience as a developer using Java/C++/Python
• Must have 7+ years of recent experience working with data stream processing technologies like DataFlow, IBM Streams, Apache Flink, or Spark Streaming
• Must have 7+ years' experience operationalizing AI/ML pipelines in a real-time environment
• Must have 7+ years' experience building input streaming data pipelines for AI/ML use cases
• Must have experience implementing NLP models in real-time environment
• Must have 7+ years of recent experience working with streaming data stores like Cassandra or Redis
• Must have experience of handling Large volume of data in terabytes as well low volume but high frequency data
• Must have 7+ years of recent experience working with messaging queue technologies like Pub/Sub, Kafka and Rabbit MQ
• Must have 7+ years' experience on Unix based OS
• Exposure to NoSQL-based, SQL-like technologies (e. g., Hive, Pig, Spark SQL/Shark, Impala, BigQuery, Cassandra).
• Exposure to Google Cloud Platform (GCP) and integrating it with real-time data streaming applications
• Some experience with container technologies like Kubernetes and Docker

DESIRED SKILLS:
• Ability to work independently, and multi-task under short deadlines, based upon general direction
• Telecom domain knowledge is preferred
• Able to mentor, guide and lead a team of streaming ML engineers
• Demonstrated effective verbal and written communication skills.
• Good Knowledge in Hadoop platform including Big Data tools
• Some experience with data warehousing and data lakes

JOB DUTIES:
• Primary responsibility is to design, develop, and implement MLOps for our NLP real-time models
• Another key responsibility will be to help implement data streaming pipelines for new data sources to feed to our NLP real-time models
• Help develop self-service applications in the real-time environment to help with various use cases
• Doing proof of concepts to expand current platform capabilities
• Closely collaborate with cross-functional teams
• The successful candidate will have an understanding of coding and a strong sense of architecture, deployment and operational skill.
• Expect to be on-site for most weekdays

We are looking for a skilled and motivated Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex problems and enhance our products and services. Your expertise will be critical in driving innovation and improving user experiences. Job Responsibilities Model Development: Collaborate with cross-functional teams to identify and understand business challenges and translate them into machine learning tasks. Design, build, and optimize machine learning models and algorithms for various applications. Data Processing: Work with large datasets, cleaning and preprocessing them for model training and validation. Ensure data quality and integrity to enable accurate model predictions. Environment Setup: Set up and maintain machine learning environments, including frameworks such as TensorFlow, PyTorch, or scikit-learn, and cloud-based platforms like AWS, GCP, or Azure. Model Training and Evaluation: Implement machine learning experiments and conduct rigorous testing and evaluation to measure model performance and identify opportunities for improvement. Deployment and Integration: Collaborate with software engineers to deploy machine learning models into production environments and integrate them with existing systems. Continuous Improvement: Stay up-to-date with the latest developments in the field of machine learning, and explore new methodologies and technologies to enhance our solutions. Documentation and Communication: Document your work thoroughly, including model architectures, methodologies, and results. Present findings and insights to stakeholders in a clear and understandable manner. Technical Requirements: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. Proven experience in developing and deploying machine learning models and algorithms. Strong proficiency in Python and popular machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with cloud-based platforms for model deployment and management (e.g., AWS, GCP, Azure). Solid understanding of data preprocessing, feature engineering, and model evaluation techniques. Ability to work effectively in a collaborative, cross-functional team environment. Strong problem-solving skills and a passion for tackling complex challenges. Excellent communication and presentation skills. Preferred Qualifications: Experience with big data technologies such as Hadoop, Spark, or similar. Knowledge of deep learning architectures and techniques. Previous experience in natural language processing (NLP) or computer vision projects. Understanding of version control systems like Git.

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Machine Learning Engineer Jobs in Alpharetta, GA

Machine Learning EngineerDecember 16, 2024

Ai Machine Learning Engineer Manager Consulting Location OpenDecember 11, 2024

Ai Machine Learning Engineer Manager Consulting Location OpenDecember 9, 2024

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