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Job Summary
We are looking for an experienced AI/ML Lead to drive design, development, and deployment of advanced machine learning and AI solutions. This role involves leading a team, defining AI strategy, and delivering scalable ML/GenAI solutions aligned with business goals.
Key Responsibilities
Lead end to end design and delivery of AI/ML solutions (NLP, GenAI, predictive models, CV).
Define AI/ML architecture, frameworks, and best practices.
Build and mentor a team of data scientists and ML engineers.
Drive model development, evaluation, tuning, and deployment at scale.
Implement MLOps pipelines (CI/CD, monitoring, model governance).
Collaborate with stakeholders to identify and prioritize AI use cases.
Oversee integration of ML models into enterprise systems using APIs/microservices.
Ensure data quality, security, compliance, and model explainability.
Stay updated with advancements in AI, especially Generative AI and LLMs.
Required Skills
Strong expertise in
Python, SQL, and ML libraries (Scikit learn, TensorFlow, PyTorch) .
Experience in
NLP, Deep Learning, and Generative AI (LLMs, LangChain, Vector DBs) .
Hands on with
cloud platforms : AWS / Azure / GCP.
Strong knowledge of
MLOps tools : MLflow, Kubeflow, Docker, Kubernetes.
Experience with
big data technologies : Spark, Hadoop.
Solid understanding of
statistics, algorithms, and data modeling .
Proven experience in
solution architecture and system design .