AI Associate-Machine Learning

1 - 2 years

3 - 4 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Description:

Join our growing AI team as an AI Associate (ML) and build real-world machine learning solutions that directly impact business performance. This is an exciting opportunity to work with experienced professionals, apply your skills to live data problems, and grow your career in a fast-paced, collaborative environment.

Your Role:

You ll help design, train, and deploy ML models that power applications in supply chain, logistics, finance, and operations. From predicting delivery times to detecting anomalies in large datasets, your work will drive smarter decision-making.

What You ll Do:


  • Build ML models for forecasting, classification, clustering, and anomaly detection using real business data.

  • Work on the full ML lifecycle: data prep, feature engineering, model selection, evaluation, and deployment.

  • Collaborate with cross-functional teams (engineering, data, operations) to understand business needs and build ML-driven solutions.

  • Deploy and monitor models in production environments using APIs and MLOps tools.

  • Document experiments and contribute to reusable ML components and workflows.


What We re Looking For:


  • B.Tech / M.Tech in Computer Science, Engineering, or related fields.

  • 1 -2 years of experience applying machine learning in real-world scenarios.

  • Strong programming skills in Python and familiarity with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch, etc.).

  • Hands-on experience working with structured and semi-structured data.

  • Familiarity with cloud platforms (Azure preferred) and tools for ML deployment.

  • Bonus: Experience with time series, anomaly detection, or working in supply chain/logistics.


Why Join Us


  • Be part of a growing AI team solving real industry challenges.

  • Work on high-impact projects with supportive mentors and a strong learning culture.

  • Gain experience in production ML pipelines and cloud deployment at scale.

  • Access opportunities to grow in computer vision, LLMs, or advanced MLOps.



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