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Data Engineer - ML

0 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

We are seeking dynamic and passionate Machine Learning Engineers to join our Bangalore office. Candidates will have substantial experience in PySpark, data pipeline creation, feature store management, robust ML model training, and deployment. This role involves enhancing machine learning productivity by building scalable, maintainable ML platforms and implementing effective MLOps strategies. Responsibilities Develop, optimize, and maintain data pipelines using PySpark to ensure efficient data processing and scalability. Build and enhance feature stores and ML deployment infrastructure. Port existing machine learning models into new applications, maintaining performance and quality. Automate ML deployment processes and build robust CI/CD pipelines. Implement monitoring systems and observability tools to ensure the stability and reliability of ML pipelines. Collaborate closely with cross-functional teams to design, deploy, and enhance scalable machine learning models. Perform comprehensive model evaluations using key metrics (accuracy, precision, recall, F1-score). Participate actively in peer code reviews and uphold best practices in ML development. Requirements Strong proficiency in Python, PySpark, and SQL. Experience with ML frameworks such as TensorFlow, Keras, PyTorch, and Scikit-Learn. Familiarity with data modeling pipelines, optimization techniques, and prevalent ML architectures (Databricks, Airflow, MLFlow). Experience in building and maintaining feature stores (e. g., Feast, Databricks Feature Store). Knowledge of cloud platforms (AWS, Azure, GCP) and experience deploying models in cloud environments. Familiarity with MLOps tools and practices (Docker, Kubernetes, Jenkins, Git, Grafana). Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field. Good To Know Qualifications Experience with search, ranking, relevance, and recommendation systems. Understanding of natural language processing (NLP), computer vision, or generative AI techniques. Experience in visualization tools such as Grafana. Soft Skills Excellent problem-solving capabilities and attention to detail. Effective communication and collaboration skills. Ability to adapt and deliver in a dynamic environment. This job was posted by Shashank Patil from Oneture Technologies. Show more Show less

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Oneture Technologies
Oneture Technologies

Information Technology

Innovation City

50-100 Employees

11 Jobs

    Key People

  • Alice Johnson

    CEO
  • Bob Smith

    CTO

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