Machine Learning Engineer

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,