- Location
- Mumbai, India
- Department
- IT
- Seniority
- Senior
- Experience
- 3+ years
- Source
- Keka
Description
Senior Data Scientist
Type: Full-time
Location: Mumbai
Role Overview
We are hiring a Senior Data Scientist (3–5 years of experience) with strong expertise in Industrial AI, Machine Learning, and Generative AI. This role is focused on solving real-time, production-grade industrial problems using advanced ML, optimization techniques, and next-generation AI systems.
You will work on end-to-end AI solutions—from data modeling and algorithm design to scalable cloud deployment—across domains such as Energy Management, Process Industries, Vibration Monitoring, and Industrial Optimization. The role demands deep hands-on experience in time-series modeling, optimization algorithms, MLOps, and GenAI/LLM systems, not just experimentation.
As a senior contributor, you will also influence AI architecture, modeling standards, and best practices, while mentoring junior team members and collaborating closely with Product and Engineering teams.
Job Responsibilities
- Design, develop, and deploy production-grade ML and AI solutions for industrial and IoT use cases, with a strong focus on real-time and near–real-time systems.
- Build and optimize machine learning models for industrial applications, including:
- Time-series forecasting (Prophet, N-BEATS, LSTM, Transformers)
- Predictive maintenance, anomaly detection, and condition monitoring
- Vibration analysis and process optimization
- Apply and customize optimization and control techniques, including:
- Genetic algorithms (PSO, evolutionary methods)
- Model Predictive Control (MPC)
- Golden batch analysis and operational optimization
- Develop custom loss and cost functions tailored to business KPIs to improve model accuracy and decision relevance.
- Build, fine-tune, and integrate Generative AI and LLM-based solutions, including:
- Retrieval-Augmented Generation (RAG) pipelines
- Prompt engineering and domain adaptation
- LLM-based analytics, assistants, and industrial intelligence use cases
- Work with emerging AI paradigms, including:
- Agentic AI frameworks
- MCP, A2A architectures, and evolving GenAI technologies
- Implement and maintain robust MLOps pipelines using:
- MLflow for experiment tracking and model registry
- Airflow / Dagster for orchestration and automation
- CI/CD practices for model training, validation, and deployment
- Deploy and scale ML/LLM systems using Docker and cloud platforms (AWS, GCP), ensuring reliability, performance, and cost efficiency.
- Collaborate with Product and Engineering teams to translate industrial problems into scalable AI solutions.
You should not apply with us if-
- You don’t want to work in agile environments.
- The unpredictability and super iterative nature of start- ups scare you.
- You hate working with people who are smarter than you.
- You don’t thrive in self-driven, “owner mindset” environments- nothing wrong- just not our type!
About us
We’re Faclon Labs- a high-growth, deep-tech start-up on a mission to make infrastructure and utilities smarter using IoT and SaaS. Sounds heavy? That’s because we do heavy lifting- in tech, in thinking, and in creating real-world impact. We’re not your average startup. We don’t do corporate fluff. We do ownership, fast iterations, and big ideas. If you're looking for ping-pong tables, we're still saving up. But if you want to shape the soul of the company while it's being built- this is the place!
Skills
AWSGCPDockerCI/CDMachine LearningAirflow