Compliance-Bengaluru-Vice President-Software Engineering

QUALIFICATIONS

A successful candidate will possess the following attributes:

• A Bachelor's, Master's or PhD degree in Computer Science, Machine Learning, Mathematics, or a similar field of study.
• Preferably 7+ years AI/ML industry experience for Bachelor’s/Masters, 4+ years for PhD with a focus on Language Models.
• Strong foundation in machine learning algorithms, including deep learning architectures (e.g., transformers, RNNs, CNNs)
• Proficiency in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn.
• Demonstrated expertise in GenAI techniques, including but not limited to Retrieval-Augmented Generation (RAG), model fine-tuning, prompt engineering, AI agents, and evaluation techniques.
• Experience working with embedding models and vector databases.
• Experience with MLOps practices, including model deployment, containerization (Docker, kubernetes), CI/CD, and model monitoring.
• Strong verbal and written communication skills.
• Curiosity, ownership and willingness to work in a collaborative environment.
• Proven ability to mentor and guide junior engineers.

Experience in some of the following is desired and can set you apart from other candidates:

• Experience with Agentic Frameworks (e.g., Langchain, AutoGen) and their application to real-world problems.
• Understanding of scalability and performance optimization techniques for real-time inference such as quantization, pruning, and knowledge distillation.
• Experience with model interpretability techniques.
• Prior experience in code reviews/ architecture design for distributed systems.
• Experience with data governance and data quality principles.
• Familiarity with financial regulations and compliance requirements.