
Technical Director
3 days ago
About Us
We are a world leader in the insurance industry, operating in 54 countries and territories. Our extensive product offerings, broad distribution capabilities, exceptional financial strength, and local operations globally enable us to provide commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients.
Our India Journey
We are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. With a team of over 2500 talented professionals, we foster a collaborative environment that promotes diverse perspectives and solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.
Key Responsibilities:
- Lead the design, development, and deployment of Large Language Model (LLM) models and Gen AI applications.
- Possess a strong foundational knowledge in traditional machine learning and deep neural networks.
- Leverage Azure AI services, including Cognitive search, Azure Machine Learning, and Azure OpenAI, to build and deploy AI/Gen AI applications.
- Demonstrate strong proficiency in Python and have experience with machine learning/LLM/Gen AI libraries and frameworks such as TensorFlow, PyTorch, Keras, Langchain, and NLP tools like SpaCy, NLTK.
- Have hands-on experience with LlamaIndex, LangChain, or equivalent frameworks.
- Carry a rich experience in designing, developing, and deploying advanced Retrieval-Augmented Generation (RAG) based Gen AI solutions.
- Possess a strong understanding of LLMs, vector databases (like Chroma, Pinecone, Azure Cognitive Search), and embedding techniques.
- Evaluate and implement different embedding models (Azure OpenAI, Cohere, etc.) and chunking strategies (fixed size, overlap-based etc.).
- Design and implement agentic AI systems that can autonomously perform tasks, make decisions, and interact with other systems or users effectively.
- Have experience in applying advanced fine-tuning methods such as Low-Rank Adaptation (LoRA), Quantized LoRA (QLoRA), and Pattern-Exploiting Training (PET) to optimize open-source models for specific tasks.
- Familiarity with CI/CD pipelines and tools such as Jenkins, Github Actions or similar.
- Collaborate with data engineers to ensure efficient data collection, preprocessing, and management for AI applications.
- Provide technical leadership and mentorship to a team of developers, ensuring best practices in Gen AI development.
Requirements:
- Total Experience 13-15 years; Gen AI Experience – 5 + years.
- Master's degree in computer science, Information Technology.
What We Offer:
Employees enjoy flexible work options, generous paid time off, robust health coverage, continuous learning opportunities, career advancement programs, and a supportive and inclusive work environment.
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