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.

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