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Machine Learning Engineer

Machine Learning Engineer

CozzeraTirupati, IN
12 hours ago
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.
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    Machine Learning Engineer • Tirupati, IN