<ul><li>W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.</li></ul> Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters Job Overview Specialized Area:Machine learningJob Title:Machine Learning EngineerLocation:Phoenix,AZDuration:10 MonthsDomain Exposure:Work Authorization:Client:To Be Discussed LaterEmployment Type:W-2 (Consultant must be on our company payroll. C2C is not allowed) 2+ years developing data pipelines with Python with additional experience in Java, Linux, and scripting languages is a plus Demonstrated experience developing end-to-end NLP models to derive insights from text data using NLP libraries in Python Familiarity with Deep Learning, Neural Networks Excellent communication, organizational, problem-solving, debugging and analytical skills. MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract
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<ul><li>W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. </li> </ul> Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters Job Overview Job ID: J36993 Specialized Area: Machine learning Job Title: Machine Learning Engineer Location: Phoenix,AZ Duration: 10 Months Domain Exposure: Work Authorization: Client: To Be Discussed Later Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed) 2+ years developing data pipelines with Python with additional experience in Java, Linux, and scripting languages is a plus Demonstrated experience developing end-to-end NLP models to derive insights from text data using NLP libraries in Python Familiarity with Deep Learning, Neural Networks Excellent communication, organizational, problem-solving, debugging and analytical skills. 3D TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. 3D TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will 3D TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract #J-18808-Ljbffr

<ul><li>W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. </li> </ul> Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters Job Overview Job ID: J36993 Specialized Area: Machine learning Job Title: Machine Learning Engineer Location: Phoenix,AZ Duration: 10 Months Domain Exposure: Work Authorization: Client: To Be Discussed Later Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed) 2+ years developing data pipelines with Python with additional experience in Java, Linux, and scripting languages is a plus Demonstrated experience developing end-to-end NLP models to derive insights from text data using NLP libraries in Python Familiarity with Deep Learning, Neural Networks Excellent communication, organizational, problem-solving, debugging and analytical skills. AUTOMATION TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. AUTOMATION TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will AUTOMATION TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract #J-18808-Ljbffr

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates are encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters. <h3>Job Overview </h3>Specialized Area: Machine learning Job Title: Machine Learning Engineer Location: Phoenix, AZ Duration: 11 Months Domain Exposure: Pharmaceuticals, Manufacturing, Government, Oil & Gas Work Authorization: Client: To Be Discussed Later Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed) Job Description We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. <h3>Skills </h3><ol><li>Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas </li><li>Expertise in visualizing and manipulating big datasets </li><li>Familiarity with Linux </li><li>Ability to select hardware to run an ML model with the required latency </li> </ol>QUANTUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. QUANTUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will QUANTUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. #J-18808-Ljbffr

Applied Machine Learning Engineer You must be a US Citizen or a Green Card holder at time of application. Who we are Nuclearn.ai is a startup technology company delivering solutions to the nuclear and utility industries. We solve meaningful problems using advanced AI and high-quality software, deployed easily and cost-effectively. Nuclearn's latest product, AtomAssist, provides private, nuclear fine-tuned large language models to support a variety of generative AI use cases. Nuclearn deploys its products in a web platform that tightly integrates workflow automations, machine learning model deployment, dataset management, and analysis to solve specific problems for our customers in both the nuclear and broader utility industries. The Nuclearn.ai platform is currently installed and in use at over 50 nuclear reactors in North America, and we are actively working to expand our reach to every nuclear utility in the US and abroad, as well as to other utility sectors. Position Overview We're looking for a passionate, experienced Applied Machine Learning Engineer to drive practical AI solutions at Nuclearn by implementing, adapting, and deploying state-of-the-art machine learning models. In this position, you will work directly with our company's founders to develop and deploy machine learning solutions that address our customer's real-world automation and analytic needs. If you thrive in a start-up atmosphere where you can have a huge influence on company direction, be surrounded by motivated people, and deliver real AI solutions using state of the art techniques, then this position is for you. What you'll be doing <ul><li>Collaborating closely with customers to understand their unique needs and tailoring AI solutions to meet specific industry challenges, particularly in the nuclear and utility sectors. </li><li>Fine-tuning pre-trained language models for customer-specific classification, extraction, and prediction tasks. </li><li>Designing, training, and validating custom ML pipelines to address domain-specific problems, ensuring high accuracy and performance in real-world applications. </li><li>Implementing and optimizing ML models for deployment in production environments, with a focus on scalability and efficiency. </li><li>Partnering with cross-functional teams, including development teams and domain experts, to ensure solutions align with customer workflows and objectives. </li><li>Continuously improving models by leveraging customer feedback and incorporating new data. </li><li>Driving innovation in the use of AI and ML within the nuclear and utility industries by experimenting with cutting-edge techniques and tools. </li> </ul>What we expect from you <ul><li>Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field </li><li>2+ years of experience implementing and deploying machine learning solutions, with at least 1 year of hands-on experience with language models </li><li>Strong programming skills in Python and experience with PyTorch </li><li>Demonstrated ability to translate technical capabilities into practical solutions </li><li>Experience deploying models in production environments </li> </ul>Bonus qualifications (not required, but a plus) <ul><li>Experience deploying models in production environments </li><li>Prior experience working in a startup environment </li><li>Knowledge of the nuclear or utility industries </li> </ul>Structure <ul><li>Full-time </li><li>Salaried position </li><li>4 days a week in office (Wednesday remote) </li><li>Unlimited vacation </li> </ul>What you'll love <ul><li>Competitive pay, bonus structure and equity </li><li>Opportunity to make a huge impact in a growing, venture capital backed company </li><li>Unique opportunity to apply state of the art machine learning techniques to solve real-world problems </li><li>Work-life balance with unlimited vacation policy </li><li>Chance to shape the future of AI applications in critical infrastructure </li> </ul> #J-18808-Ljbffr

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/third-party recruiters. <h3>Job Overview </h3>Job ID: J36993 Specialized Area: Machine learning Job Title: Machine Learning Engineer Location: Phoenix, AZ Duration: 10 Months Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed) <h3>Responsibilities </h3><ol><li>2+ years developing data pipelines with Python; additional experience in Java, Linux, and scripting languages is a plus. </li><li>Demonstrated experience developing end-to-end NLP models to derive insights from text data using NLP libraries in Python. </li><li>Familiarity with Deep Learning and Neural Networks. </li><li>Excellent communication, organizational, problem-solving, debugging, and analytical skills. </li> </ol><h3>Equal Opportunity Employer </h3>ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination, and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected status. #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. 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 <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>Ideally, you'll also have <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>What we look for <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>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 $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. #J-18808-Ljbffr

Job Description: At Sparklight/Cableone and our Cable One family of brands, we keep our customers and associates connected to what matters most. For our associates, that means: a thriving and rewarding career, respect for the communities where they live and work, a focus on health and wellness, an excellent work/life balance, and an open and inclusive workplace. We are open to hiring remote if we find the right talent in any of the following states: AL, AR, AZ, FL, GA, IA, ID, IL, IN, KS, LA, MD, MN, MO, MS, NC, ND, NE, NM, NV, OR, OK, PA, SC, SD, TN, TX, UT. What you will do to contribute to the company's success The AI/ML Engineer will play a crucial role in developing and deploying traditional ML & Generative AI solutions tackling broad ML challenges. This position spans from initial concept through to deployment, ensuring the delivery of high-performance solutions to enhance our services and customer experience across a wide range of applications. The successful candidate will engage in a variety of projects, from the initial concept through to deployment, ensuring the delivery of high-performance solutions that satisfy business needs. This role also encompasses the integration of machine learning models with RESTful APIs, managing data with SQL and NoSQL databases, and applying best practices in ML development and deployment. Job Duties <ul><li>Develop and deploy machine learning models for traditional ML, NLP, and Generative AI solutions.</li><li>Design, build, and maintain MLOps pipelines for seamless model deployment and continuous updates.</li><li>Collaborate with stakeholders to gather requirements and translate them into technical solutions.</li><li>Create scalable data pipelines for data collection, cleaning, and feature engineering.</li><li>Implement best practices for code quality, version control, testing, and documentation.</li><li>Conduct A/B testing and automated tests to validate model performance and reliability.</li><li>Participate in code reviews and provide mentorship on machine learning practices.</li><li>Monitor and optimize model performance in production environments.</li><li>Stay updated on industry trends to continuously improve and innovate solutions.</li></ul>Qualifications <ul><li>Bachelor’s or master’s degree in computer science, Data Science, or a related field.</li><li>Minimum 3 years' experience required in the field of AI/ML.</li><li>Extensive experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn, including model training, tuning, and deployment.</li><li>Experience in building Retrieval-Augmented Generation (RAG) applications, leveraging LLMs to augment search and retrieval tasks.</li><li>Proficiency in big data technologies, specifically distributed computing frameworks such as PySpark, for handling large-scale data processing and analysis.</li><li>Hands-on experience with natural language processing (NLP) libraries like NLTK, SpaCy, and Hugging Face’s Transformers, and familiarity with Large Language Models (LLMs) and their applications.</li><li>Experience with SQL and NoSQL databases, with strong skills in database design, query optimization, and data retrieval.</li><li>Strong experience with cloud platforms, preferably Microsoft Azure, including Azure Machine Learning, Azure Databricks, and Azure DevOps for CI/CD pipeline automation.</li><li>Proven expertise in Python programming, with experience in Django or Flask for designing and implementing RESTful APIs to deploy and integrate models.</li><li>Solid understanding of MLOps practices, including model lifecycle management, deployment, monitoring, and continuous integration.</li><li>Strong problem-solving abilities and the ability to work independently, manage complex projects, and deliver results in fast-paced environments.</li></ul>BenefitsCable One and our family of brands appreciates the role our associates play to help the company grow, and in return an excellent benefits package is offered to our associates to recognize the importance of their contributions, such as:<ul><li>Medical, dental, and vision plans – start when you start!</li><li>Life insurance (self, spouse, children)</li><li>Paid time off (vacation, holiday, and personal/sick days)</li><li>401(k) - 100% company match starts day 1 of employment (up to 5% of eligible compensation)</li><li>Group Legal plan with Identity Theft Protection</li></ul>Additional Perks<ul><li>Tuition reimbursement (up to $5,250 on 1st year)</li><li>Annual community support to various organizations across the U.S.</li><li>Associate recognition & awards programs</li><li>Advancement opportunities</li><li>Collaborative work environment</li><li>FREE Cable One services for associates who live in a serviceable area</li><li>Up to $75/mo. Stipend</li><li>Remote Access to select premium channels (Cable One, Sparklight, Cable America and ValueNet Fiber Only)</li><li>Vehicle provided for daily work purposes, if residing within reasonable radius from office location</li></ul>We’re an Award-Winning Organization!<ul><li>Forbes’ “America’s Best Midsized Employers” 2021-2023</li></ul>Our CommitmentDiversity lies in the communities we serve and among the associates who dedicate themselves to ensure our continued success. Here at Cable One and our family of brands, we believe it is our individual and unique talents, backgrounds and perspectives that, when combined, truly make us an unstoppable force. "Stronger Together" is not just a verbal cue, it is the motto that our associates live by, exemplify, and embody each and every day.Cable One and our family of brands is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.Pre-hire ProcessesCable One and our family of brands is committed to keeping our associates and customers safe. Job offers are contingent upon the results of background, drug screening, and reference check. Only after successfully passing these pre-hire clearances are individuals approved for hire and ready to start their successful and rewarding career.
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Machine Learning Engineer Jobs in w rizz, AZ

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Senior Machine Learning Engineer
December 8, 2024

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Machine Learning Engineer Jobs in w rizz, AZ

Machine Learning EngineerDecember 11, 2024

Machine Learning EngineerDecember 9, 2024

Machine Learning EngineerDecember 9, 2024

Machine Learning EngineerDecember 9, 2024

Applied Machine Learning EngineerDecember 9, 2024

Machine Learning EngineerDecember 9, 2024

Ai Machine Learning Engineer Manager Consulting Location OpenDecember 9, 2024

Senior Machine Learning EngineerDecember 8, 2024

Quick filters

Top companies

Machine Learning Engineer
December 11, 2024

Machine Learning Engineer
December 9, 2024

Machine Learning Engineer
December 9, 2024

Machine Learning Engineer
December 9, 2024

Applied Machine Learning Engineer
December 9, 2024

Machine Learning Engineer
December 9, 2024

Ai Machine Learning Engineer Manager Consulting Location Open
December 9, 2024

Senior Machine Learning Engineer
December 8, 2024