About the Role
We’re looking for a Data Scientist with strong applied AI expertise to build, deploy, and scale
data-driven solutions for logistics, and intelligent decision systems. You’ll work with large-
scale supply chain data to develop predictive and generative AI models that enhance
operational efficiency and business outcomes.
What this role entail
- Design and implement machine learning, deep learning, and AI-driven optimization models for logistics and operations.
- Build scalable and robust data preprocessing pipelines and reproducible modelling pipelines.
- Conduct A / B testing, model monitoring, and performance tuning to ensure reliability.
- Experiment with new models and techniques.
- Test performance of data-driven products.
What lands you in this role
1-4 Years of experience in Data Science Model development and deploymentStrong forecasting experienceMust have exposure to developing predictive analytics and machine learning for business applicationsExposure to ML / GenAI frameworks and tools, Apply computer vision or NLP for automationUse LLMs and GenAI for knowledge extraction, intelligent decision supportExtensive experience with Git, DockerTechnical Skills
Programming : Python, SQL, PySpark
ML / AI Frameworks : Scikit-learn, PyTorch, TensorFlow, XGBoost, LightGBM
Data Engineering : Redshift, Kafka, AWS S3, Snowflake
Model Serving : FastAPI, Triton, Ray Serve, Docker
Visualization : Power BI, Plotly, Tableau
Bonus : LLMs (LangChain, Transformers), Reinforcement Learning, or GNN
Qualifications
B.Tech / M.Tech / M.Sc. in Computer Science, Data Science, Statistics, or related field.Proven experience deploying ML / AI models in production.Strong problem-solving and analytical skills with an understanding of SCM.Nice to Have : Experience with Agentic AI systems, multi-modal AI (vision + text), or real-time
ML.