Global Data Science Manager

3 weeks ago


Delhi, Delhi, India Boston Consulting Group Full time
Job Summary

We are seeking a highly skilled Global Data Science Manager to join our team at Boston Consulting Group. As a key member of our AI Center Of Excellence, you will be responsible for designing, developing, and deploying AI/ML/Gen AI solutions at scale.

Key Responsibilities:

  • Develop AI/ML/Gen AI projects from ideation to deployment, ensuring impactful insights.
  • Own end-to-end design, development, and deployment of machine learning solutions at scale.
  • Build and train different types of machine learning, deep learning models targeted for specific business outcomes.
  • Fine-tune large language models (LLMs) to meet specific Generative AI business outcomes.
  • Share expertise and perspectives on alternate approaches & tools to improve end solution.
  • Collaborate closely with data engineers, LLM engineers, Full stack AI engineers, QA, product owners, and analysts to create and operationalize data pipelines, ensuring compliance with data governance and security requirements.
  • Build strong relationships with business stakeholders, ensuring alignment on project goals and successful integration of data-driven insights into business strategies.

Requirements:

  • 7+ years of experience in technology, analytics, data science & AI.
  • 5+ years of hands-on experience in building & deploying AI/ML/Gen AI solutions across wide variety of problems.
  • 2+ years of experience in building Generative AI products.
  • Experience in developing Generative AI based solutions using frameworks e.g. Langchain, Llamaindex to build Retrieval augmented generation (RAG) and agent architectures.
  • Experience in working with variety of open source (e.g. Llama, Mistral) & closed source LLMs( e.g. Open AI, Anthropic).
  • Experience in applying MLOps principles to deploy, monitor and enhance AI/ML models.
  • Experience with LLMOps tools (e.g. Langsmith) to track accuracy, hallucinations, bias in Gen AI solutions.
  • Experience with variety of Python libraries e.g. Pandas, Scikit-learn, TensorFlow.
  • Experience in deploying solutions on a cloud platform – AWS (preferred), Azure, GCP.
  • Expertise in container technologies – Docker, Kubernetes.
  • Experience with workflow orchestration tools like Apache Airflow to design, schedule and monitor data processing pipelines.
  • Experience with microservices architecture, FastAPIs.
  • Experience working in a fast-paced global company, with a diverse team of both technical and functional backgrounds located in multiple time zones.


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