Principal Consultant

1 week ago

Gurgaon, Haryana, India Sun Life Full time ₹ 12,00,000 - ₹ 36,00,000 per year

You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

Role: Machine Learning (ML) & Generative AI Engineer – Actuarial Domain Preferred

Location: Gurugram
Experience Level: 8-12 years
Employment Type: Full-time

About the Role:

We are seeking an experienced ML & Generative AI Engineer to design, develop and deploy scalable AI and machine learning solutions with a focus on actuarial s domain. The role involves collaborating closely with the actuarial and technology partners to design and operationalize GenAI tools that enhance business decision-making.

Key Responsibilities:

  • Design, build, and deploy machine learning and GenAI models for business applications.
  • Collaborate with domain experts to translate business problems into AI-driven solutions.
  • Design and execute proof-of-concepts to demonstrate feasibility and potential impact 
  • Integrate AI/ML solutions into existing actuarial workflows and systems 
  • Fine-tune and implement Large Language Models (LLMs) and generative AI frameworks.
  • Develop pipelines for model training, evaluation, and deployment in production environments.
  • Ensure model governance, documentation, and compliance with enterprise standards.
  • Stay abreast of emerging technologies in GenAI, ML Ops, and cloud-based model deployment.

Required Skills & Experience:

  • Strong proficiency in Python, TensorFlow, PyTorch, or equivalent ML frameworks.
  • Hands-on experience with LLMs, transformer architectures, or generative AI tools (e.g., LangChain, OpenAI, HuggingFace).
  • Experience with model deployment in cloud environments such as Azure or AWS.
  • Familiarity with data engineering and API integration concepts.
  • Exposure to the actuarial, financial services, or insurance domain preferred.
  • Excellent problem-solving, collaboration and communication skills to interface with cross-functional teams.

Job Category:

IT - Digital Development

Posting End Date:

03/11/2025

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