Senior Data Scientist

Overview

: 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 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!
  
  

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!