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Strong Tier-1 brand, mid-level ML role with broad GenAI/cloud skills in metro locations.
Specialized GenAI and security context moderately limits cross-industry transferability.
Explicit 3-5 years plus mandatory GenAI, LLM, cloud and vector DB skills required.
Deliver AI/ML and Generative AI end-to-end solutions including building, testing, and validating predictive models applying latest AI advancements.
Collaborate with technical teams and management stakeholders to understand AI/ML requirements and develop proofs of concept for pursuit/sales cycles.
Develop automated processes for AI model validation, deployment, and create supporting documentation and training materials.
3-5 years of experience in AI/ML technologies, including NLP, deep learning, generative AI, and agentic AI.
Proficiency in Python (preferred), C++, Java programming languages and familiarity with machine learning frameworks like scikit-learn, TensorFlow, PyTorch, and GenAI frameworks (OpenAI, LangChain).
Experience developing and deploying Generative AI solutions using large language models (OpenAI, Claude, Gemini, LLaMA) and vector databases (Milvus, Quadrant, FAISS, PostgreSQL).
Degree in Computer Science, Artificial Intelligence, Machine Learning, NLP, Data Science, Applied Mathematics, or Analytics (B.E./B.Tech./M.Tech./M.S/Ph.D).
Experienced consultant comfortable managing AI/ML projects end-to-end within a Cybersecurity or technology consulting environment.
Practitioner skilled in scalable, cloud-based AI deployments on platforms such as AWS, Azure, or Google Cloud.
Candidate with hands-on expertise in building advanced AI models including Generative and agentic AI, and supporting scalable, automated ML workflows using Agile methodologies.