Role : Senior Machine Learning Engineer Agentic AI

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

Experience : 4 to 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 to 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