Lead Machine Learning Engineer @ John Hancock | Jobright.ai
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Lead Machine Learning Engineer jobs in Boston, MA
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John Hancock · 4 days ago

Lead Machine Learning Engineer

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Responsibilities

Work closely with Data Scientists, Engineers, and IT partners to design and implement MLOps /LLMOps processes to enable seamless deployment, integration with systems and monitoring of AI models on Cloud
Lead and manage high-quality Generative AI tech development (prompt engineering, RAG applications, and fine-tune LLM models to meet business need) and streamline Generative AI model development and deployment using Azure infrastructure and capabilities like Azure AI studio
Manage and architect AI solutions and deployment with systematic approach to allow implementation at-scale
Assess maturity of teams MLOps/LLM Ops tools and practices, establish and drive standard methodologies for model versioning, testing, and monitoring to ensure the reliability and performance of AI/ML solutions
Develop close partnership with Data Science Teams, Data Office and IT partners, foster strong collaboration
Stay up to date with the latest advancements in machine learning and MLOps /LLMOps techniques, closely follow industrial trend, and contribute to the continuous improvement of our machine learning capabilities.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceComputer SciencePhysicsStatisticsMachine LearningMLOpsDevOpsGitJenkinsCode ReliabilitySecurity ScanningSoftware DevelopmentC/C++/JavaPythonSQLAzure MLDatabricksAWSGenerative AIPrompt EngineeringRAG ApplicationsAzure Tech StackAzure AI StudioLangchainVector StoresAzure OpenAILlamaCloud TechIT System IntegrationMachine Learning Algorithms

Required

An advanced degree in Data Science, Computer Science, Engineering, Physics, or Statistics and Math
Minimum of 5 years of experience solving high-impact business problems using Machine learning & Data science
Proven experience as a Data/ML Engineer, with a strong focus on MLOps, design and productionize code through the DevOps pipeline (git, Jenkins orchestration pipelines, code reliability and security scanning) to enable seamless deployment and monitoring of machine learning models
Strong software development skills, familiar with C/C++/Java, proficiency in Python and SQL, hands-on experience with Azure ML, Databricks, AWS, etc.
Hands-on experience with Generative AI, prompt engineering, and RAG applications
Hands-on experience with Azure tech stack, including Azure AI studio, Langchain, Vector stores. Experienced in Azure OpenAI and open-source models like Llama.
Solid understanding of modern Cloud tech, bridge Data Science solution and IT system integration
Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
Strong partner management, ability to translate sophisticated technical topics into business language, presentation skills, and an ability to balance a sense of urgency with shipping high-quality and pragmatic solutions.
Strong problem-solving skills and a passion for using AI to drive business impact

Benefits

Health
Dental
Mental Health
Vision
Short- and Long-term Disability
Life and AD&D Insurance Coverage
Adoption/Surrogacy Benefits
Wellness Benefits
Employee/Family Assistance Plans
Retirement Savings Plans (including Pension/401(k) with employer matching contributions)
Financial Education and Counseling Resources
Generous Paid Time Off Program (including holidays, personal days, vacation, sick time, and statutory leaves of absence)

Company

John Hancock

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John Hancock provides financial solutions, including life insurance, mutual funds, and long-term care insurance.

H1B Sponsorship

John Hancock has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (33)
2022 (45)
2021 (52)
2020 (53)

Funding

Current Stage
Late Stage

Leadership Team

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Kristie Feinberg
Head of Wealth & Asset Management, U.S. & Europe President & CEO
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Navpreet Singh
Director Digital Engineering & Information Management
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