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Urgent! Machine Learning Engineer Job Opening In Hubli – Now Hiring Cozzera

Machine Learning Engineer



Job description

Position Title: ML Engineer

Experience: 4–6 Years


Location: Noida, Gurugram, Indore, Bangalore, Pune (Hybrid)

Description:

We are looking for a passionate Machine Learning Engineer to design, build, and deploy scalable ML pipelines and models across AWS cloud environments.

The ideal candidate will have strong Python programming expertise, hands-on experience with PySpark, and a deep understanding of MLOps practices.

You will work closely with cross-functional teams to transform business problems into ML solutions, optimize models for performance, and deploy them seamlessly using cloud-native tools.


Key Responsibilities:

  • Build and maintain feature/data pipelines using PySpark and Python.
  • Perform Exploratory Data Analysis (EDA) and feature engineering.
  • Design and implement ML models — regression, forecasting, NLP, and image/video analytics.
  • Apply hyperparameter tuning, model performance evaluation, and deployment best practices.
  • Implement MLOps pipelines for continuous integration and deployment.
  • Leverage AWS services — SageMaker, Bedrock, Kendra, and other ML tools.
  • Collaborate with data engineers, data scientists, and business analysts to generate actionable insights.
  • Contribute to solution architecture, code reviews, and ML lifecycle management.
  • Write clean, reusable, and efficient code with proper unit tests.
  • Drive knowledge sharing and continuous improvement across the ML team.

Required Skills:

  • Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).
  • 3+ years of experience in PySpark-based data pipelines.
  • Sound understanding of statistics (probability, hypothesis testing, distributions).
  • Experience with MLOps tools and ML model lifecycle management.
  • Familiarity with AWS ML stack (SageMaker, Bedrock, Kendra).
  • Knowledge of model deployment, monitoring, and scaling.
  • Experience in time-series forecasting, NLP, and image/video analytics.

Good To Have:

  • Experience with Generative AI / LLMs (LangChain, LlamaIndex, foundation model fine-tuning).
  • Understanding of Docker, Kubernetes, and CI/CD for ML workflows.
  • Background in data engineering or analytics model integration.


Required Skill Profession

Computer Occupations



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