Job DescriptionThis role is based remotely but if you live within a 50-mile radius of Warren, MI, or Austin, TX, you are expected to report to that location three times a week, at minimumThe Role:We are seeking a skilled Machine Learning Engineer with expertise in Azure, Databricks, and MLflow, as well as strong full-stack capabilities, including experience with React. If you're passionate about driving innovation and enjoy working collaboratively within product teams, this role offers an exciting opportunity to contribute to impactful projects in a dynamic environment.As a Machine Learning Engineer supporting POD teams, you will play a pivotal role in providing technical expertise and guidance to ensure the successful development and delivery of machine learning and AI solutions. Your responsibilities will include collaborating closely with product teams, contributing your expertise in machine learning technologies, and leveraging your full-stack capabilities to support the implementation of frontend components using React.What You'll Do:Technical Support:Provide technical expertise and support to POD teams in the development and implementation of machine learning and AI solutions, leveraging Azure, Databricks, and MLflow.Solution Architecture:Collaborate with product teams to design scalable and efficient solutions, ensuring alignment with architectural best practices and business requirements.Model Development Assistance:Assist in the development and optimization of machine learning algorithms and models, providing guidance on best practices and methodologies.Data Pipeline Support:Support the design and implementation of data pipelines for data ingestion, processing, and feature engineering, ensuring data quality and integrity.Model Deployment Assistance:Assist in the deployment of machine learning models into production environments, implementing monitoring and logging mechanisms for performance tracking.Frontend Development Support:Collaborate with frontend developers to support the implementation of responsive and user-friendly web interfaces using React, integrating machine learning capabilities seamlessly into frontend applications.Collaboration and Communication:Work closely with product teams, data scientists, software engineers, and business stakeholders to understand requirements, provide technical guidance, and ensure successful project delivery.Documentation and Knowledge Sharing:Document technical solutions, processes, and best practices, and share knowledge with team members to facilitate learning and collaboration.Your Skills & Abilities (Required Qualifications):Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field or equivalent experience.5+ years of experience in machine learning engineering, data science, or a related field.Experience with Azure cloud services, particularly Azure Machine Learning and Azure Databricks.Familiarity with MLflow for model management and experimentation.Strong proficiency in React for frontend development.Proficiency in Python for machine learning and data analysis.Knowledge of machine learning algorithms, statistical modeling, and data structures.Experience with version control systems (e.g., Git) and containerization technologies (e.g., Docker) is desirable.Excellent communication and collaboration skills, with the ability to work effectively in a team environment.Strong problem-solving mindset and a proactive attitude towards learning and self-improvement.Additional Job DescriptionCompensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.The salary range for this role is $128,900 - $197,4000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.Benefits:Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTUREAbout GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join UsWe aspire to be the most inclusive company in the world. We believe we all must make a choice every day  individually and collectively  to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.Benefits OverviewThe goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; Company and matching contributions to 401K savings plan to help you save for retirement; Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; Tuition assistance and student loan refinancing; Discount on GM vehicles for you, your family and friends.Diversity InformationGeneral Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.Equal Employment Opportunity StatementsGM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, protected characteristics' include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.#J-18808-Ljbffr<p>by Jobble</p>

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. At EY, youll 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 were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.AI/Machine Learning Engineer, Manager ConsultantThe 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.Your key responsibilitiesYou 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 successThis 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 haveBachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning2-4 years of experience directly managing technical teamsStrong 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 haveA 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 forYou 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.FY24CHWhat we offerWe offer a comprehensive compensation and benefits package where youll be rewarded based on your performance and recognized for the value you bring to the business. The salary range for this job in most geographic locations in the US is $127,400 to $233,500. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $152,900 to $265,400. 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. Under our flexible vacation policy, youll decide how much vacation time you need based on your own personal circumstances. Youll 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:Youll develop the mindset and skills to navigate whatever comes next.Success as defined by you:Well provide the tools and flexibility, so you can make a meaningful impact, your way.Transformative leadership:Well give you the insights, coaching and confidence to be the leader the world needs.Diverse and inclusive culture:Youll be embraced for who you are and empowered to use your voice to help others find theirs.If you can demonstrate that you meet the criteria above, please contact us as soon as possible.The exceptional EY experience. Its yours to build.EY | Building a better working worldEY 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.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, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EYs Talent Shared Services Team or email SSC Customer Support at ssc.customersupport@ey.com#J-18808-Ljbffr<p>by Jobble</p>

Machine Learning Engineer Jobs in Lansing, MI

Aimachine Learning Engineer Manager Consulting Location Open
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Aimachine Learning Engineer Manager Consulting Location Open
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Aimachine Learning Engineer Senior Consulting Location Open
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Machine Learning Engineer Jobs in Lansing, MI

Aimachine Learning Engineer Manager Consulting Location OpenApril 27, 2024

Machine Learning EngineerApril 24, 2024

Aimachine Learning Engineer Manager Consulting Location OpenApril 23, 2024

Principal Machine Learning Engineer Joinociai ServicesApril 23, 2024

Machine Learning EngineerApril 18, 2024

Aimachine Learning Engineer Manager Consulting Location OpenApril 16, 2024

Aimachine Learning Engineer Senior Consulting Location OpenApril 16, 2024