ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers, and consumers worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people. At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. <a >Learn more </a> about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Machine Learning Engineer AI Practice ZS AI Practice is building transformative AI-enabled data products and solutions. ZS suite of products and solutions include hyper-personalization, Customer journey design, AI guided selling, large-scale unstructured customer data mining with NLP and dynamic pricing. Our products and client focused solutions use state of the art ML and Deep Learning techniques and ML Engineering Platforms. What You’ll Do <ul><li>Build, orchestrate, and monitor model pipelines including feature engineering, inferencing and continuous model training </li><li>Scaling machine learning algorithms to work on massive data sets and strict SLAs </li><li>Build & Enhance ML Engineering platforms and components </li><li>Implement ML Ops including model KPI measurements, tracking, data and model drift & model feedback loop </li><li>Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors </li><li>Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews </li><li>Collaborate with client teams and global development team to successfully deliver projects </li><li>Uses bug tracking, code review, version control and other tools to organize and deliver work </li><li>Participate in scrum calls, and effectively communicate work progress, issues and dependencies </li><li>Consistently contribute to researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions. </li> </ul>What You’ll Bring <ul><li>Bachelor's/Master's degree with specialization in Computer Science, MIS, IT or another computer related discipline </li><li>2-4 years' experience in deploying and productionizing ML models </li><li>Strong programming expertise in Python / PySpark </li><li>Experience in ML platforms like Dataiku, Sagemaker, MLFlow or other platforms </li><li>Experience in deploying models to cloud services like AWS, Azure, GCP </li><li>Expertise in crafting ML Models for high performance and scalability </li><li>Experience in implementing feature engineering, inferencing pipelines and real time model predictions </li><li>Experience in ML Ops to measure and track model performance </li><li>Good fundamentals of machine learning and deep learning </li><li>Knowledgeable of core Computer Science concepts such as common data structures, algorithms, and design patterns </li><li>Excellent oral and written communication skills </li> </ul>Additional Skills <ul><li>Experience with Spark or other distributed computing frameworks </li><li>Understanding of DevOps, CI / CD, data security, experience in designing on cloud platform </li><li>Experience in data engineering in Big Data systems </li> </ul>Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. To Complete Your Application: Candidates must possess work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: #J-18808-Ljbffr

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers, and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Machine Learning Engineer AI Practice ZS AI Practice is building transformative AI-enabled data products and solutions. ZS suite of products and solutions include hyper-personalization, Customer journey design, AI guided selling, large-scale unstructured customer data mining with NLP and dynamic pricing. Our products and client focused solutions use state of the art ML and Deep Learning techniques and ML Engineering Platforms. What You’ll Do <ul><li>Build, orchestrate, and monitor model pipelines including feature engineering, inferencing and continuous model training </li><li>Scaling machine learning algorithms to work on massive data sets and strict SLAs </li><li>Build & Enhance ML Engineering platforms and components </li><li>Implement ML Ops including model KPI measurements, tracking, data and model drift & model feedback loop </li><li>Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors </li><li>Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews </li><li>Collaborate with client teams and global development team to successfully deliver projects </li><li>Uses bug tracking, code review, version control and other tools to organize and deliver work </li><li>Participate in scrum calls, and effectively communicate work progress, issues and dependencies </li><li>Consistently contribute to researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions. </li> </ul>What You’ll Bring <ul><li>Bachelor's/Master's degree with specialization in Computer Science, MIS, IT or another computer related discipline </li><li>2-4 years' experience in deploying and productionizing ML models </li><li>Strong programming expertise in Python / PySpark </li><li>Experience in ML platforms like Dataiku, Sagemaker, MLFlow or other platforms </li><li>Experience in deploying models to cloud services like AWS, Azure, GCP </li><li>Expertise in crafting ML Models for high performance and scalability </li><li>Experience in implementing feature engineering, inferencing pipelines and real time model predictions </li><li>Experience in ML Ops to measure and track model performance </li><li>Good fundamentals of machine learning and deep learning </li><li>Knowledgeable of core Computer Science concepts such as common data structures, algorithms, and design patterns </li><li>Excellent oral and written communication skills </li> </ul>Additional Skills <ul><li>Experience with Spark or other distributed computing frameworks </li><li>Understanding of DevOps, CI / CD, data security, experience in designing on cloud platform </li><li>Experience in data engineering in Big Data systems </li> </ul>Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. To Complete Your Application: Candidates must possess work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: #J-18808-Ljbffr

ZS is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. Bring your curiosity for learning; bold ideas; courage and passion to drive life changing, impact to ZS. Our most valuable asset is our people.
At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems-the ones that comprise us as individuals, shape who we are and
make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Machine Learning Engineer AI Practice ZS AI Practice is building transformative AI-enabled data products and solutions. ZS suite of products and solutions include hyper-personalization, Customer journey design, AI guided selling, large-scale unstructured customer data mining with NLP and dynamic pricing. Our products and client focused solutions use state of the art ML and Deep Learning techniques and ML Engineering Platforms. What You'll Do
Build , orchestrate, and monitor model pipelines including feature engineering, inferencing and continuous model training
Scaling machine learning algorithms to work on massive data sets and strict SLAs
Build & Enhance ML Engineering platforms and components
Implement ML Ops including model KPI measurements, tracking, data and model drift & model feedback loop
Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors
Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews
Collaborate with client teams and global development team to successfully deliver projects
Uses bug tracking, code review, version control and other tools to organize and deliver work
Participate in scrum calls, and effectively communicate work progress, issues and dependencies
Consistently contribute to researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of- concepts and creating prototype solutions.
What You'll Bring Bachelor's/ Master's degree with specialization in Computer Science, MIS, IT or another computer related discipline
2-4 years' experience in deploying and productionizing ML models
Strong programming expertise in Python / PySpark
Experience in ML platforms like Dataiku, Sagemaker , MLFlow or other platforms
Experience in deploying models to cloud services like AWS, Azure, GCP
Expertise in crafting ML Models for high performance and scalability
Experience in implementing feature engineering, inferencing pipelines and real time model predictions
Experience in ML Ops to measure and track model performance
Good fundamentals of machine learning and deep learning
Knowledgeable of core Computer Science concepts such as common data structures , algorithms , and design patterns
Excellent oral and written communication skills
Additional Skills Experience with Spark or other distributed computing frameworks
Understanding ofDevOps,CI / CD, data security, experience in designing on cloudplatform
Experience in data engineering in Big Data systems Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact in global healthcare and beyond. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

ZS is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. Bring your curiosity for learning; bold ideas; courage and passion to drive life changing, impact to ZS. Our most valuable asset is our people. At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems-the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Machine Learning Engineer AI Practice ZS AI Practice is building transformative AI-enabled data products and solutions. ZS suite of products and solutions include hyper-personalization, Customer journey design, AI guided selling, large-scale unstructured customer data mining with NLP and dynamic pricing. Our products and client focused solutions use state of the art ML and Deep Learning techniques and ML Engineering Platforms. What You'll Do <ul><li> Build , orchestrate, and monitor model pipelines including feature engineering, inferencing and continuous model training </li><li> Scaling machine learning algorithms to work on massive data sets and strict SLAs </li><li> Build & Enhance ML Engineering platforms and components </li><li> Implement ML Ops including model KPI measurements, tracking, data and model drift & model feedback loop </li><li> Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors </li><li> Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews </li><li> Collaborate with client teams and global development team to successfully deliver projects </li><li> Uses bug tracking, code review, version control and other tools to organize and deliver work </li> </ul><ul><li> Participate in scrum calls, and effectively communicate work progress, issues and dependencies </li><li> Consistently contribute to researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of- concepts and creating prototype solutions. </li> </ul> What You'll Bring <ul><li> Bachelor's/ Master's degree with specialization in Computer Science, MIS, IT or another computer related discipline </li><li> 2-4 years' experience in deploying and productionizing ML models </li><li> Strong programming expertise in Python / PySpark </li><li> Experience in ML platforms like Dataiku, Sagemaker , MLFlow or other platforms </li><li> Experience in deploying models to cloud services like AWS, Azure, GCP </li><li> Expertise in crafting ML Models for high performance and scalability </li><li> Experience in implementing feature engineering, inferencing pipelines and real time model predictions </li><li> Experience in ML Ops to measure and track model performance </li><li> Good fundamentals of machine learning and deep learning </li><li> Knowledgeable of core Computer Science concepts such as common data structures , algorithms , and design patterns </li><li> Excellent oral and written communication skills </li> </ul> Additional Skills <ul><li> Experience with Spark or other distributed computing frameworks </li><li> Understanding ofDevOps,CI / CD, data security, experience in designing on cloudplatform </li><li> Experience in data engineering in Big Data systems </li></ul> Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact in global healthcare and beyond. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

: ZS is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here youll work side-by-side with a powerful collective of thinkers and experts shaping life changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. Bring your curiosity for learning; bold ideas; courage and passion to drive life changing, impact to ZS. Our most valuable asset is our people.
At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systemsthe ones that comprise us as individuals, shape who we are and
make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. :
Architecture & Engineering Specialist ML Engineering
ZS's Scaled AI ? practice?is part of ZS's rich and advanced AI ecosystem, in the Architecture & Engineering Expertise Center, focused on creating?continuous business value for?clients?using?a range of innovative machine learning,?deep learning, and engineering capabilities.??
Being part of Scaled AI practice allows you to collaborate with data scientists to create state-of-the-art AI models, create and use cutting-edge ML platforms, create and deploy advanced ML pipelines and manage the complete ML lifecycle.
What Youll Do
Design and implement technical features leveraging best practices for technology stack being used
Collaborate with client-facing teams to understand solution context and contribute to technical requirement gathering and analysis
Work with technical architects on the team to validate design and implementation approach
Write production-ready code that is easily testable, understood by other developers, and accounts for edge cases and errors
Ensure the highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews
Write unit tests as well as higher-level tests to handle expected edge cases and errors gracefully, as well as happy paths
Uses bug tracking, code review, version control, and other tools to organize and deliver work
Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues, and dependencies
Consistently contribute in researching & evaluating the latest technologies through rapid learning, conducting proofs-of-concept and creating prototype solutions
Support the project architect in designing modules/component of the overall project/product architecture
Breaks down large features into estimable tasks lead estimation and can defend them with clients
Implement complex features with limited guidance from the engineering lead. For example service or application-wide change
Systematically debug code issues/bugs using stack traces, logs, monitoring tools, and other resources
Performs code/script reviews of senior engineers in the team
Mentor and groom technical talent within the team
What Youll Bring
At least 5+ relevant hands-on experience?in deploying and?productionizing ML?models?at scale?
Expertise in?Designing, configuring, and using ML Engineering platforms?like?Sagemaker,?MLFlow,?Kubeflow, or other platforms?
Big data - Hive, Spark, Hadoop, queuing system like Apache Kafka/Rabbit MQ/AWS Kinesis
Ability to quickly adapt to new technology and be innovative in creating solutions
Ability to independently run POCs on new technologies and document findings to share
Strong in at least one of the Programming languages - PySpark, Python or Java, Scala, etc. and Programming basics - Data Structures
Hands-on experience in building metadata-driven, reusable design patterns for data pipeline, orchestration, ingestion patterns (batch, real-time)
Experience in designing and implementation of solution on distributed computing and cloud services platform (but not limited to) - AWS, Azure, GCP
Hands-on experience building CI/CD pipelines and awareness of practices for application monitoring
Additional Skills:
AWS/Azure Solutions Architect certification with an understanding of broader AWS/Azure?stack
Understanding DevOps CI / CD, data security, experience in designing on cloud platform;
Willingness to travel to other global offices as needed to work with the client or other internal project teams :
Perks & Benefits:
ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Considering applying?
At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact in global healthcare and beyond. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application:
Candidates must possess or be able to obtain work authorization for their intended country of employment. ZS is committed to providing and maintaining a safe workplace. Must have received full COVID-19 vaccination by date of hire to be considered. Proof of vaccination will be required upon acceptance of offer of employment. Exemption process available on a limited basis. NO AGENCY CALLS, PLEASE. Find Out More At:
www.zs.com

:

ZS  is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here youll work side-by-side with a powerful collective of thinkers and experts shaping life changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. Bring your curiosity for learning; bold ideas; courage and passion to drive life changing, impact to ZS.

Our most valuable asset is our people.
At  ZS  we honor the visible and invisible elements of our identities, personal experiences and belief systemsthe ones that comprise us as individuals, shape who we are and
make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.

:
Architecture & Engineering Specialist ML Engineering
ZS's Scaled AI  ? practice?is part of ZS's rich and advanced AI ecosystem, in the Architecture & Engineering Expertise Center, focused on creating?continuous business value for?clients?using?a range of innovative machine learning,?deep learning, and engineering capabilities.??
Being part of Scaled AI practice allows you to collaborate with data scientists to create state-of-the-art AI models, create and use cutting-edge ML platforms, create and deploy advanced ML pipelines and manage the complete ML lifecycle.
What Youll Do
Design and implement technical features leveraging best practices for technology stack being used
Collaborate with client-facing teams to understand solution context and contribute to technical requirement gathering and analysis
Work with technical architects on the team to validate design and implementation approach
Write production-ready code that is easily testable, understood by other developers, and accounts for edge cases and errors
Ensure the highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews
Write unit tests as well as higher-level tests to handle expected edge cases and errors gracefully, as well as happy paths
Uses bug tracking, code review, version control, and other tools to organize and deliver work
Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues, and dependencies
Consistently contribute in researching & evaluating the latest technologies through rapid learning, conducting proofs-of-concept and creating prototype solutions
Support the project architect in designing modules/component of the overall project/product architecture
Breaks down large features into estimable tasks lead estimation and can defend them with clients
Implement complex features with limited guidance from the engineering lead. For example service or application-wide change
Systematically debug code issues/bugs using stack traces, logs, monitoring tools, and other resources
Performs code/script reviews of senior engineers in the team
Mentor and groom technical talent within the team
What Youll Bring
At least 5+ relevant hands-on experience?in deploying and?productionizing ML?models?at scale?
Expertise in?Designing, configuring, and using ML Engineering platforms?like?Sagemaker,?MLFlow,?Kubeflow, or other platforms?
Big data - Hive, Spark, Hadoop, queuing system like Apache Kafka/Rabbit MQ/AWS Kinesis
Ability to quickly adapt to new technology and be innovative in creating solutions
Ability to independently run POCs on new technologies and document findings to share
Strong in at least one of the Programming languages - PySpark, Python or Java, Scala, etc. and Programming basics - Data Structures
Hands-on experience in building metadata-driven, reusable design patterns for data pipeline, orchestration, ingestion patterns (batch, real-time)
Experience in designing and implementation of solution on distributed computing and cloud services platform (but not limited to) - AWS, Azure, GCP
Hands-on experience building CI/CD pipelines and awareness of practices for application monitoring
Additional Skills:
AWS/Azure Solutions Architect certification with an understanding of broader AWS/Azure?stack
Understanding DevOps CI / CD, data security, experience in designing on cloud platform;
Willingness to travel to other global offices as needed to work with the client or other internal project teams

:
Perks & Benefits:
ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Considering applying?
At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact in global healthcare and beyond. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

To Complete Your Application:
Candidates must possess or be able to obtain work authorization for their intended country of employment.

ZS is committed to providing and maintaining a safe workplace. Must have received full COVID-19 vaccination by date of hire to be considered. Proof of vaccination will be required upon acceptance of offer of employment. Exemption process available on a limited basis.

NO AGENCY CALLS, PLEASE.

Find Out More At:
www.zs.com

: ZS is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here youll work side-by-side with a powerful collective of thinkers and experts shaping life changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. Bring your curiosity for learning; bold ideas; courage and passion to drive life changing, impact to ZS. Our most valuable asset is our people. At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systemsthe ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.  : Machine Learning Engineer AI Practice ZS AI Practice is building transformative AI-enabled data products and solutions. ZS suite of products and solutions include hyper-personalization, Customer journey design, AI guided selling, large-scale unstructured customer data mining with NLP and dynamic pricing. Our products and client focused solutions use state of the art ML and Deep Learning techniques and ML Engineering Platforms. ? What Youll Do <ul> <li>Build, orchestrate, and monitor model pipelines including feature engineering, inferencing and continuous model training </li><li>Scaling machine learning algorithms to work on massive data sets and strict SLAs </li><li>Build & Enhance ML Engineering platforms and components </li><li>Implement ML Ops including model KPI measurements, tracking, data and model drift & model feedback loop </li><li>Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors </li><li>Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews </li><li>Collaborate with client teams and global development team to successfully deliver projects </li><li>Uses bug tracking, code review, version control and other tools to organize and deliver work </li></ul> <ul><li>Participate in scrum calls, and effectively communicate work progress, issues and dependencies </li><li>Consistently contribute to researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions. </li></ul> What Youll Bring <ul> <li>Bachelor's/Master's degree with specialization in Computer Science, MIS, IT or another computer related discipline </li><li>2-4 years' experience in deploying and productionizing ML models </li><li>Strong programming expertise in Python / PySpark </li><li>Experience in ML platforms like Dataiku, Sagemaker, MLFlow or other platforms </li><li>Experience in deploying models to cloud services like AWS, Azure, GCP </li><li>Expertise in crafting ML Models for high performance and scalability </li><li>Experience in implementing feature engineering, inferencing pipelines and real time model predictions </li><li>Experience in ML Ops to measure and track model performance </li><li>Good fundamentals of machine learning and deep learning </li><li>Knowledgeable of core Computer Science concepts such as common data structures, algorithms, and design patterns </li><li>Excellent oral and written communication skills </li></ul> Additional Skills <ul> <li>Experience with Spark or other distributed computing frameworks </li><li>Understanding of?DevOps,?CI / CD, data security, experience in designing on cloud?platform </li><li>Experience in data engineering in Big Data systems </li></ul>  : Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact in global healthcare and beyond. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment. ZS is committed to providing and maintaining a safe workplace. Must have received full COVID-19 vaccination by date of hire to be considered. Proof of vaccination will be required upon acceptance of offer of employment. Exemption process available on a limited basis. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

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Machine Learning Engineer Zs Associates Jobs

Machine Learning EngineerDecember 14, 2024

Machine Learning EngineerDecember 9, 2024

Machine Learning EngineerDecember 5, 2024

Machine Learning EngineerDecember 4, 2024

Machine Learning Engineer SpecialistDecember 3, 2024

Machine Learning Engineer SpecialistDecember 2, 2024

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