Assistant General Manager- AI/ML Technologies

Blue Star; Thane; On-site; INR 600,000 - 900,000; Full time

Job summary

Blue Star is seeking a Senior Data Scientist – AI/ML Technologies in Thane to lead the development of production‑ready AI/ML solutions for refrigeration, HVAC, and electronics platforms.

The role focuses on agentic AI systems, time‑series analytics, and signal processing to optimize operations and energy performance. You will mentor juniors, collaborate cross‑functionally, and drive end‑to‑end ML pipelines.

Qualifications

• Bachelor’s degree in Data Science, CS, Engineering, or statistics.
• 7+ years of relevant experience.
• Experience building autonomous AI/ML systems and agentic AI.
• Proficient in time-series analysis and signal processing.

Responsibilities

• Design and deploy agentic AI systems that autonomously optimize HVAC&R solution operations, energy consumption, and equipment performance.
• Develop and implement advanced time-series forecasting models for energy demand and operational patterns.
• Apply signal-processing techniques to analyze sensor data and extract patterns in noisy environments.
• Build end-to-end ML pipelines from data ingestion to deployment and monitoring in production.
• Lead predictive maintenance initiatives using ML models to forecast equipment failures and optimize schedules.
• Collaborate with engineering and operations teams to translate business problems into data science solutions.
• Mentor junior data scientists and establish best practices for model development and deployment.

Skills

Agentic AI & autonomous ML

Time-series forecasting

Signal processing

Python ML libraries

Cloud platforms

SQL & data streaming

MLOps basics

Education

Bachelor’s degree in Data Science / CS / Engineering / Statistics

Tools

TensorFlow

PyTorch

scikit-learn

Prophet

XGBoost

Kafka

MQTT

PyWavelets

scipy.signal

statsmodels

Job description

Job Description

Position Title: Senior Data Scientist – AI/ML Technologies
Grade: JE
Business Group / Division / Department: Research & Development
Location: Thane (to align with the Head's location)
Reports to: Head of AI/ML Technologies
Supervises: Junior Data Scientists & ML Engineers

Purpose of the Role

Senior Data Scientist with a strong practical background in deploying production‑ready AI/ML solutions. This role focuses on developing advanced agentic AI systems, time series analytics, and signal processing capabilities to optimize refrigeration solutions, HVAC systems, and electronics platforms.

Key Responsibilities

• Design and deploy agentic AI systems that autonomously optimize HVAC&R solution operations, energy consumption, and equipment performance.
• Develop and implement advanced time‑series forecasting models for energy demand, equipment behavior, and operational patterns.
• Apply signal‑processing techniques to analyze sensor data, detect anomalies, and extract meaningful patterns from noisy industrial environments.
• Build end‑to‑end machine learning pipelines from data ingestion through model deployment and monitoring in production systems.
• Lead predictive maintenance initiatives using ML models to forecast equipment failures and optimize maintenance schedules.
• Collaborate with engineering and operations teams to translate business problems into practical data science solutions.
• Mentor junior data scientists and establish best practices for model development and deployment.

Qualifications

• Educational Qualification: Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field.
• Minimum of 7 years of relevant experience.
• Strong experience with agentic AI & machine learning – building autonomous decision‑making algorithms, reinforcement learning, or multi‑agent systems.
• Proficiency in time‑series analysis (ARIMA, Prophet, LSTM) and handling seasonal, missing data, and non‑stationary series.
• Working knowledge of digital signal processing (filtering, FFT, spectral analysis) for sensor data analysis.
• Strong proficiency in Python with ML libraries (scikit‑learn, TensorFlow/PyTorch, XGBoost). Experience with signal‑processing libraries (scipy.signal, PyWavelets) and time‑series libraries (statsmodels, Prophet, tslearn).
• Experience with at least one cloud platform (Azure preferred, AWS, or GCP).
• Solid SQL skills and familiarity with data streaming (Kafka, MQTT).
• Version control with Git and basic MLOps practices.

Preferred Expertise

• Azure Machine Learning workspace, automated ML, deployment, pipelines, and model registry; familiarity with Azure Databricks, Synapse Analytics, or IoT Hub.
• Experience with genetic algorithms or evolutionary strategies for optimization problems.
• Predictive maintenance experience: failure prediction models, RUL estimation, and condition‑based monitoring.

Behavioral / Leadership Competency

• Stakeholder Management and collaboration with engineering and operations teams.
• Strategic Thinking & Execution.
• Program & Project Leadership.
• Mentoring and coaching.
• Collaboration & Networking.
• Self‑Leadership: high self‑drive and self‑starter attitude.
• Strong Communication.

Key Interactions

External: External consultants, project consultants, software providers.

Internal: Program & Project managers, system integrators, electronics & testing engineers.

Working Conditions

Office‑based environment with regular travel to R&D office locations and factories.

Authority

Approval authority for this position to be indicated as needed (people, financial).

Accountability & Challenges

Key Financial Accountabilities: (to be defined).

Major Challenges: Translating business problems into practical data science solutions; coordinating with cross‑functional teams; maintaining data integrity for strategic decision‑making.