Senior Data Scientist

Responsibilities:
Analyse large and complex datasets to uncover insights, trends, and opportunities.
Design, build, and optimise machine learning models and predictive systems.
Develop Generative AI solutions, including LLM-based applications, RAG pipelines, and AI agents.
Implement and maintain Vector Databases (e. g., FAISS, Pinecone, Milvus, Weaviate) for semantic search and retrieval systems.
Build and deploy AI agents and automation workflows for business and operational use cases.
Design and implement Computer Vision models for image and video analysis, such as classification, detection, segmentation, and OCR.
Collaborate with cross-functional teams to define KPIs and translate business requirements into data-driven solutions.
Conduct experiments, model evaluations, and A/B tests to improve outcomes.
Work closely with Data Engineers to ensure data quality and optimise data pipelines and architectures.
Present insights clearly to both technical and non-technical stakeholders.
Stay updated with emerging trends in AI, ML, GenAI, and Computer Vision, and mentor junior team members.
Maintain thorough documentation for models, processes, and production workflows.
Requirements:
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
4+ years of hands-on experience in Data Science, Machine Learning, or AI roles.
Strong proficiency in Python and SQL. Hands-on experience with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch.
Working knowledge of LLMs, RAG architectures, prompt engineering, and agent frameworks.
Experience with vector databases and embeddings for intelligent retrieval systems.
Familiarity with OpenCV, YOLO, CNNs, or Vision Transformers is a plus.
Experience working with cloud platforms such as AWS, Azure, or GCP.
Exposure to Tableau, Power BI, or similar visualisation tools is an added advantage.
Strong analytical thinking, problem-solving, and communication skills.

Experience
4-8 yrs