sCytech - Artificial Intelligence Research Scientist - Time Series Forecasting

Job Title : AI : Pune, India : Full-Time

Our client is building Last Mile 2.0 , redefining urban logistics in India. With proven MVP and are now scaling from pilot to national roll-out, looking for a AI Engineer to design, build, and scale the systems that will power thousands of riders across Overview :

Were looking for AI Engineers and Researchers who can take ownership of building and deploying forecasting models into production. This isnt a research-only role its about getting working systems live, iterating fast, and making a measurable impact on SLA Responsibilities :

• Build and train forecasting models
• Integrate model outputs into our real-time decision engine (Python APIs, Redis, AWS).
• Work with simulation data to create training / evaluation sets.
• Optimize for inference speed (ONNX / TorchScript, quantization).
• Collaborate with the founders to shape model roadmap and Were Looking For :
• Strong proficiency in Python + PyTorch / TensorFlow.
• Experience with time-series models and data (any of : traffic, mobility, maps, forecasting).
• Understanding of geospatial frameworks.
• Comfort with data engineering basics (pipelines, ETL, SQL / NoSQL).
• Ability to ship fast, debug, and optimize models for real-time to have :
• Experience with Redis, OSRM, or similar real-time infra.
• Background in last-mile logistics, ride-hailing, food and grocery delivery, or mobility data.
• Exposure to reinforcement learning or simulation-driven join us ?
• Early engineer role with high ownership.
• Competitive salary + meaningful equity.
• Opportunity to work on a hard real-world problem where ML decisions directly affect efficiency.

(ref : hirist.tech)