JD-Machine learning

Required Skills & Experience:

- Proven 5 years of commercial experience in creating, testing, deploying, monitoring and maintaining machine learning pipelines -mandate
- Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling, hyperparameter tuning, experiment tracking and performance monitoring.-mandate
- Expertise in correlation analysis, classification / clustering techniques, anomaly detection and time series forecasting using either traditional or deep learning ML approaches
- Solid Python background with the ability to write clean, modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability.
- Experience using SQL data exploration, feature extraction, and integration with analytical workflows.




- Familiarity with cloud platforms and products like Google VertexAI, BigQuery, CloudSQL, Compute Engine or similar solutions
- Demonstrated ability to support, mentor, and guide junior to mid-level data scientists and machine learning engineers
- Familiarity with Agile ways of working, participating in sprint planning, retrospectives etc.
- Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders.

Preferred Qualifications

- PhD at a relevant field
- Networking/Telecommunications knowledge
- Experience with data visualisation tools and frameworks such as Dash, Streamlit, Superset etc, to aid in the presentation of model results and findings.

📌 Machine Learning Engineer (Chennai)
🏢 Randstad
📍 Chennai