Data Scientist & Team Lead

• Department: Engineering / Data Science
• Location: Work from Office (6 Days a Week)
• Employment Type: Full-Time
• Experience Level: 2–3 Years in Data Science & AI/ML
• Salary/Compensation: Competitive / Based on experience

About the Role

We are seeking a highly skilled and proactive Data Scientist & Team Lead to spearhead our data science initiatives and guide our technical execution. In this role, you will bridge the gap between high-level business strategy and hands-on AI/ML development. You will be responsible for architecture decisions, deployment pipelines, and managing a small, agile team of developers and interns to deliver scalable, intelligent enterprise systems.

Key Responsibilities

• Technical Leadership: Mentoring and guiding junior developers and interns, conducting code reviews, and establishing engineering best practices for the data science workflow.
• End-to-End ML Architecture: Designing, building, and deploying scalable machine learning, deep learning, and predictive models into robust production environments.
• Strategic Feature Delivery: Collaborating with product managers and backend teams to turn complex corporate data and business objectives into smart application features.
• Model Lifecycle Management (MLOps): Overseeing data pipelines, monitoring production model drift, and optimizing cloud-deployed algorithms for low latency and high accuracy.
• Innovation & R&D: Researching and implementing state-of-the-art AI workflows, custom LLM fine-tuning pipelines, and prompt engineering frameworks to keep our platform ahead of the curve.

Required Skills & Qualifications

• Experience: 2–3 years of proven industry experience working as a Data Scientist or AI/ML Engineer, with a track record of shipping models to production.
• Education: B.Tech, M.Tech, MCA, BCA, or a related technical degree paired with an advanced portfolio of real-world AI applications.
• Deep Technical Expertise: Mastery of Python and standard data frameworks (NumPy, Pandas, Scikit-Learn, PyTorch, or TensorFlow).
• Advanced AI Foundations: Deep understanding of neural networks, natural language processing (NLP), computer vision, and generative AI patterns (LLM architectures, vector databases, Retrieval-Augmented Generation/RAG).
• Database & Cloud Proficiency: Strong mastery of SQL/NoSQL databases and deployment tools (Docker, AWS, GCP, or Azure).
• Leadership Traits: Excellent communication and project management skills, with a natural capability to lead sprints, unblock technical hurdles, and drive team ownership.