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 (India)
🏢 Randstad
📍 India