about 2 hours ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Collaborate with machine learning engineers and data scientists to design and build scalable ML pipelines.
- Drive engineering excellence by enforcing best practices in version control, code reviews, testing, and documentation.
- Stay updated with emerging tools and technologies in ML engineering and cloud infrastructure.
- Monitor, debug, and optimize model performance and production infrastructure.
- Contribute effectively in an agile development environment.
- Partner closely with cross-functional stakeholders to deliver reliable ML-powered products.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- 2–5 years of industry experience building and deploying machine learning systems.
- Strong programming skills in Python, Java/Kotlin, and PySpark.
- Hands-on experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
- Experience designing and deploying microservices-based architectures on AWS.
- Familiarity with MLOps best practices, including CI/CD pipelines and version control.