Machine Learning & Data Science Engineer

5 - 7 years

9 - 14 Lacs

Posted:1 month ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

 
  • End-to-End Model Development
  • Design, train, and deploy machine learning models (supervised/unsupervised learning, NLP, time-series forecasting) using Python (scikit-learn, TensorFlow, PyTorch) and R for specialized statistical analysis.
  • Optimize models for computational efficiency via parallelization, quantization, and cloud-native architectures (AWS SageMaker, GCP Vertex AI).
  • Data Engineering & Pipeline Automation
  • Build robust ETL/ELT pipelines for structured/unstructured data using SQL, Spark, and Apache Airflow.
  • Implement feature engineering workflows and ensure data quality for large-scale datasets (1M+ records).
  • Cross-Functional Collaboration
  • Partner with product, risk, and engineering teams to operationalize models into business applications (e.g., credit risk systems, customer segmentation tools).
  • Mentor junior engineers and lead code reviews to maintain best practices in MLops workflows.
  • Model Governance & Compliance
  • Develop monitoring frameworks for model drift, bias detection, and performance degradation.
  • Ensure compliance with regulatory standards and internal governance policies.
  • Innovation & Research
  • Stay ahead of industry trends (e.g., LLMs, generative AI) and prototype solutions using no-code platforms.
  • Publish internal white papers on novel methodologies and present findings to stakeholders.

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