Senior Data Scientist

Develop and deploy machine learning models for classification, regression, clustering, and anomaly detection across business domains.

Design and fine-tune generative AI models (e.g., LLMs, transformers, diffusion models) for applications such as document summarization, synthetic data generation, intelligent assistants, and automated content creation.

Build robust data pipelines and model serving infrastructure using MLOps best practices to ensure scalability, reliability, and maintainability.

Collaborate with cross-functional teams to identify AI opportunities and translate business needs into technical solutions.

Ensure compliance with AI governance, risk strategy, and ethical standards.

Mentor junior data scientists and contribute to the AI Center of Excellence.

Required Experience an d Skills:

Master’s or PhD in Computer Science, Machine Learning, or related field.
7+ years of experience in AI/ML, including 2+ years in generative AI.

Strong engineering skills in Python, SQL, and cloud platforms (Azure, AWS, GCP).

Experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow) and containerization (Docker, Kubernetes).

Proficiency in deep learning frameworks (PyTorch, TensorFlow) and LLMs.

Strong understanding of prompt engineering, fine-tuning, and model evaluation.

Excellent communication and stakeholder engagement skills.

Job Type: Full-time

Work Location: On the road