Hyderabad, Telangana, India
Information Technology
Full-Time
Oneture Technologies
Overview
Our team actively engages in developing recommendation engines for a customer. 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 platform, including ML feature stores, ML development utilities, ML deployment, and observability tools (MLOps).
Responsibilities
Responsibilities
- 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 that are common to multiple ML pipelines.
- Implementation of the MLOps framework and governance.
- Actively contribute to peer code reviews and ensure best practices are followed in ML development.
- Have a sound understanding of data modelling 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 the AWS cloud platform and experience in deploying 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 in Search, Ranking, Relevance, and Recommendations is highly preferred.
- Knowledge of PySpark and visualization tools like Grafana.
- Moderate background in machine learning and deep learning.
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