Senior Machine Learning Engineer (Time Series, Industrial AI & Agentic AI) Bangalore , Hybrid

Role : Senior Machine Learning Engineer – Agentic AI

Location : Bangalore (Hybrid – 3 Days WFO, 2 Days WFH)

Experience : 4–6 Years

Job Description

We're hiring for a fast-growing global AI product company that is transforming industrial operations through Machine Learning, Predictive Analytics, and Agentic AI. This is an opportunity to work on large-scale industrial datasets, build production-grade ML systems, and develop next-generation AI solutions with real-world business impact

Key Responsibilities

• Own the end-to-end Machine Learning lifecycle from problem definition to production deployment
• Build forecasting, anomaly detection, and predictive models using time-series data
• Design and develop Agentic AI applications leveraging LLMs, embeddings, and orchestration frameworks
• Develop scalable ML pipelines, monitoring, and model evaluation systems
• Collaborate with Product, Engineering, and Data teams to deliver AI-powered solution

Required Skills

• 4–6 years of experience in Machine Learning / Applied AI
• Strong experience in Time-Series Modeling, Forecasting, and Anomaly Detection
• Hands-on experience deploying and monitoring ML models in production environments
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Scikit-learn
• Experience with LLMs, Agentic AI systems, LangChain, LangGraph, DSPy, or similar frameworks
• Understanding of MLOps, model monitoring, and drift detection

Good to Have

• Industrial AI, IoT, Sensor Data, or Predictive Maintenance experience
• Exposure to Databricks, Snowflake, BigQuery, Spark, or distributed data systems

If you're interested or know someone who could be a great fit, please share your profile at:📧 aishwarya.saravanan@antal.com