Machine Learning Engineer
4 months ago
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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