Senior Data Scientist

Responsibilities:
Analyze large and complex datasets to uncover insights, trends, and opportunities.
Design, build, and optimize 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, and 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 needs 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 optimize pipelines and architectures.
Present insights clearly to both technical and non-technical stakeholders.
Keep up with emerging AI, ML, GenAI, and CV trends 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.
5+ 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
5-9 yrs