You are as unique as your background experience and point of view. Here youll be encouraged empowered and challenged to be your best self. Youll 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 youll 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
Required Experience:
Staff IC
You are as unique as your background experience and point of view. Here youll be encouraged empowered and challenged to be your best self. Youll 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...
You are as unique as your background experience and point of view. Here youll be encouraged empowered and challenged to be your best self. Youll 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 youll 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
Required Experience:
Staff IC
View more
View less