Machine learning engineer

1 week ago


Bangalore, 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 Tensor Flow, Keras, Py Torch, 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 Py Spark and visualization tools like Grafana Moderate background in machine learning and deep learning



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