Machine Learning Engineer (MLOps)

Company Description

CodeChavo specializes in IT Staffing and Services, partnering with prominent brands across India and the United States to meet their staffing and solution needs. The company is dedicated to providing talent and technology solutions tailored to the requirements of its diverse clientele. With a focus on innovation and excellence, CodeChavo fosters growth and success for both its clients and employees.

Role Description

Location: Noida

Experience : 3-5 years

We are looking for a highly skilled AI/ML Engineer with strong expertise in Machine Learning, MLOps, and Python to build and deploy scalable AI solutions for industrial use cases (refinery & petrochemical domain).

This role focuses on time-series forecasting, optimization, and real-time ML deployment to drive measurable business impact like energy efficiency and process optimization.

Key Responsibilities

• Build and deploy end-to-end ML pipelines (data → model → deployment → monitoring)
• Develop time-series forecasting & predictive models
• Work with industrial/process data (SCADA, OPC, historians)
• Perform feature engineering on multivariate time-series data
• Deploy ML models via APIs, batch & real-time systems
• Implement MLOps practices (CI/CD, monitoring, retraining)
• Collaborate with cross-functional teams (Data, Operations, SMEs)

What We're Looking For

• 3–5 years of experience in AI/ML roles
• Strong programming skills in Python & SQL
• Expertise in Machine Learning & Deep Learning
• Hands-on experience in time-series modeling & forecasting
• Experience with ML frameworks (TensorFlow, PyTorch)
• Strong understanding of MLOps & model deployment

Good to Have

• Azure (Azure ML, Databricks)
• PySpark / Apache Spark
• Kafka / real-time streaming
• Exposure to GenAI / LLMs
• Oil & Gas / Manufacturing domain experience