Data Scientist

Full-Time | 10+ Years Experience | AI / ML / Deep Learning / LLMs

ABOUT THE ROLE

We are looking for a seasoned Data Scientist to join our growing team in Mumbai. The ideal candidate brings over 10 years of hands-on experience across the full data science lifecycle from exploratory analysis and model development to deploying large-scale AI solutions in production. You will work on cutting-edge projects involving LLMs, computer vision, image processing, and multi-source data integration.

KEY RESPONSIBILITIES

- Design, develop, train, and deploy machine learning, deep learning, and AI models at scale.
- Deploy and fine-tune Large Language Models (LLMs) using open-source frameworks (LLaMA, Mistral, Falcon, etc.).
- Build and integrate pipelines using public and internal APIs to enable end-to-end AI workflows.
- Work on computer vision projects including image processing, object detection, and YOLO-based detection algorithms.
- Apply statistical modeling and advanced analytical techniques to solve complex business problems.
- Integrate multiple data sources into unified, production-ready data systems.
- Collaborate cross-functionally with engineering, product, and business teams to translate requirements into AI solutions.
- Stay current with the latest open-source models, research papers, and industry trends.
- Provide technical leadership, mentorship, and code reviews within the data science team.

REQUIRED SKILLS & QUALIFICATIONS
- Experience: 10+ years in Data Science, Machine Learning, or AI-focused roles.
- Languages & Tools:



Expert-level proficiency in Python and SQL.
- LLMs: Hands-on experience deploying and fine-tuning large language models; familiarity with HuggingFace, LangChain, or similar ecosystems.
- ML & AI: Deep knowledge of statistical modelling, classical ML algorithms, and modern AI architectures.
- Deep Learning: Proven experience with deep learning frameworks (PyTorch, TensorFlow/Keras).
- Computer Vision: Practical experience in image processing, object detection, segmentation, and YOLO-based algorithms.
- APIs: Robust experience building and consuming RESTful and third-party APIs for AI integration.
- Open Source Models: Comfortable exploring, evaluating, and adapting open-source models for production use.
- Cloud: Working knowledge of AWS (SageMaker, S3, EC2, Lambda or equivalent services).
- Data Integration: Ability to integrate and harmonize multiple heterogeneous data sources into a single system.

GOOD TO HAVE
- GIS & Geospatial: Knowledge of GIS tools and geospatial data (e.g., QGIS, GeoPandas, PostGIS, satellite imagery analysis) is a strong plus.
- Open Source Exploration: Enthusiasm and proven track record of experimenting with and contributing to open-source ML/AI projects.
- Frontend Basics: Familiarity with HTML and CSS for prototyping dashboards or demo interfaces.
- MLOps: Experience with model versioning, monitoring, and CI/CD pipelines for ML (MLflow, Kubeflow, etc.).
- Visualization: Proficiency in data visualization tools ( Plotly, Power BI, or Tableau).

📌 Lead Data Scientist (Mumbai)
🏢 SCS Tech India
📍 Mumbai