Lead MLOps / LLM Ops

Company: Manulife Insurance Malaysia
Location: Boston
Posted on: October 31, 2024

Job Description:

time type Temps plein posted on Publi-- il y a 5 jour(s) time left to apply Date de fin -: 10 novembre 2024 (Il reste 10 -jours pour postuler) job requisition id JR24061008 The Opportunity The Lead MLOps / LLM Ops will own the design, recommendation & implementation of platform, infrastructure and best MLOps/LLMOps practices to support all data science teams and projects in US Segment Advanced Analytics! Directly report of Head of US Segment AI/Advanced Analytics, this role will closely work with multi-functional teams such as IT, Data Office, Operation, Sales & Distribution, etc. to strategize and implement AI/Advanced Analytics applications and deployment. It's a unique position to bring innovative ideas (such as Gen-AI solutions) to life and have business impact directly with sound architecture, effective MLOps/LLMOps processes and comprehensive controls!Responsibilities

• Design and implement optimal MLOps framework, standards, and guidelines, maintaining the central GitHub MLOps repository, driving adoption and fostering a community around it.
• Work closely with Data Scientists, Data & Platform Engineers, Architects and IT partners to design and implement MLOps /LLMOps processes to enable seamless deployment, integration with systems and monitoring of AI models on cloud environment.
• 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.
• Continually 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.
• Jointly shape the global rollout of Continuous Monitoring capabilities, working closely with cloud and 3rd party vendors ensuring reliability and scalability, and maintaining comprehensive documentation of MLOps processes and procedures.
• 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. What motivates you?
  • You obsess about customers, listen, engage and act for their benefit.
  • You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
  • You thrive in teams and enjoy getting things done together.
  • You take ownership and build solutions, focusing on what matters.
  • You do what is right, work with integrity and speak up.
  • You share your humanity, helping us build a diverse and inclusive work environment for everyone. What we are looking for
    • An advanced degree in Data Science, Computer Science, Engineering, Physics, or Statistics and Math.
    • Minimum of 5 years of combined experience as an ML engineer, DevOps engineer, system architect or lead data scientist in Big Data ecosystems or similar distributed or public cloud platforms.
    • Proven experience as a Data/ML Engineer, with a strong focus on MLOps, design and productionize code through the DevOps pipeline (git, orchestration pipelines, code reliability security scanning) to enable seamless deployment and monitoring of machine learning models.
    • 2-3 years hands-on experience with Azure tech stack, particularly Databricks and MLFlow, including Azure AI studio, Langchain, Vector stores. Experienced in Azure OpenAI and open-source models like Llama.
    • Experience in deploying ML models either via native infrastructure (such as Azure DevOps etc.) or 3rd party MLOps platforms.
    • Strong software development skills, familiar with C/C++/Java, proficiency in Python and SQL, hands-on experience with Azure ML, Databricks, AWS, etc.
    • Experience with Generative AI, prompt engineering, and RAG applications.
    • 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.Preferred Qualifications
      • Experience with LLMs (extractive and generative), fine-tuning, and operationalizing LLM pipelines.
      • Familiarity with higher-level trends in LLMs and open-source platforms.
      • Experience in building and maintaining a centralized code base or framework used by multiple teams will be a plus.
      • Experience with infrastructure as code like Terraform.
      • Excellent communication and presentation skills in English, both verbal and written.
      • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. What can we offer you?
        • A competitive salary and benefits packages.
        • A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.
        • A focus on growing your career path with us.
        • Flexible work policies and strong work-life balance.
        • Professional development and leadership opportunities. Our commitment to you
          • Values-first culture: We lead with our Values every day and bring them to life together.
          • Boundless opportunity: We create opportunities to learn and grow at every stage of your career.
          • Continuous innovation: We invite you to help redefine the future of financial services.
          • Delivering the promise of Diversity, Equity and Inclusion: We foster an inclusive workplace where everyone thrives.
          • Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact.#LI-Hybrid#LI-JH
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Keywords: Manulife Insurance Malaysia, Lynn , Lead MLOps / LLM Ops, Other , Boston, Massachusetts