• Location: Bengaluru
• Experience: 2 - 4 yrs
• Technologies / Skills : Python, PySpark, SQL, TensorFlow, Keras, PyTorch, and Scikit-Learn, Databricks, Airflow, MLFlow,

Looking for Data Engineer with Machine Learning Exposure.

About the Role

We are seeking dynamic and passionate Data Engineer/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.

Education level: Bachelor’s degree (B.E. / B. Tech) in Computer Science or equivalent from a reputed institute.

Experience: 2 to 4 years hands-on experience in Data Engineering with Machine Learning skills. Working knowledge of AWS platform is preferred.

Technical Expertise

• Strong proficiency in Python, PySpark, 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).

About Oneture Technologies

Founded in 2016, Oneture is a cloud-first, full-service digital solutions company, helping clients harness the power of Digital Technologies and Data to drive transformations and turning ideas into business realities.

Our team is full of curious, full-stack, innovative thought leaders who are dedicated to providing outstanding customer experiences and building authentic relationships. We are compelled by our core values to drive transformational results from Ideas to Reality for clients across all company sizes, geographies, and industries. Oneture team delivers full lifecycle solutions—from ideation, project inception, planning through deployment to ongoing support and maintenance.