We seek a highly skilled ML Engineer with 3-5 years of industry experience specializing in AI/ML, MLOps, Azure cloud computing, and Python to collaborate with our team of Data Scientists, Data Engineers, and Subject Matter Experts (SMEs).
Candidate should have robust expertise in traditional ML to design, develop, and deploy industrial AI solutions for refinery and petrochemical operations. The role focuses on time-series modeling, forecasting, optimization, and real-time deployment of ML systems that deliver measurable business impact (e.g., energy savings, yield improvement, process optimization).
The candidate will develop, implement, and deploy advanced AI-driven solutions, including traditional ML, deep learning, neural networks, and advanced analytics tailored specifically to the refining and petrochemical industry.

What You'll Be Doing
Design, build and deploy end-to-end AI/ML pipelines for industrial use cases at scale on cloud-based platforms or on-prem server
Select and implement appropriate AI/ML algorithms, and tools




Build and maintain data pipelines using Python & SQL for reliable data flow between IT/OT systems
Develop time-series forecasting and prediction models for process variables (e.g., temperature, pressure, yield, emissions, energy consumption)
Build optimization models for refinery & petrochemical operations (e.g., fuel optimization, throughput maximization, energy efficiency)
Work with high-frequency process data from historians (e.g., PHD, OPC, SCADA systems)
Perform feature engineering on multivariate time-series data, including lag features, rolling statistics, and domain-driven transformations
Train, evaluate, monitor, retrain and maintain AI/ML models
Deploy models into production using APIs, batch pipelines, or real-time streaming systems
Implement model monitoring, drift detection, and retraining pipelines
Collaborate with process engineers, SMEs, operations teams, and business users to translate domain problems into ML solutions
Ensu

📌 ML Engineer (Gurugram)
🏢 Antino Labs
📍 Gurugram