Machine Learning Engineer

4 months ago


Bengaluru, India Nykaa Full time

About Team


Our team actively engages in developing recommendation engines for all Nykaa platforms. As an ML Engineer, you have to build a Machine Learning platform which enhances productivity, and increases the speed at which the Machine learning team delivers outcomes. You are expected to participate in building a robust, scalable and maintainable ML Platforms like ML feature stores, ML development utilities, ML deployment, and observability tools(MLOps).


What You Will Do:

  • Build, and contribute to ML platforms like feature stores, ML deployment infrastructure
  • Bring industry best practices of MLOps and continuously improve the MLOps pipeline to be the best.
  • Automating machine learning deployment
  • Building systems for monitoring all components of ML pipelines
  • Identifying and creating modules to implement ML components which are common to multiple ML pipelines
  • Implementation of MLOps framework and governance.
  • Actively contribute in peer code reviews and ensure best practices are followed in ML development


Skills


  • Minimum 3 years of relevant experience
  • Have a sound understanding of data modeling pipelines, optimization techniques, and prevalent ML architectures (Databricks, Airflow and MLFlow).
  • Experience with frameworks such as TensorFlow, Keras, PyTorch, and Scikit-Learn
  • Solid understanding of cloud platforms (AWS, GCP, AZURE) and experience in deploying the models in cloud architectures.
  • Knowledge of software testing, deployment and maintenance
  • Work closely with cross-functional teams to design, deploy, and improve scalable machine learning models
  • Experience on Search, Ranking, Relevance, Recommendations is highly preferred
  • Knowledge of PySpark and visualization tools like Grafana
  • Moderate background in machine learning and deep learning



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