Software Engineer ML Opearations Engineer
About the Role:
We’re looking for a skilled and motivated engineer with a passion for Machine Learning, MLOps, and Big Data Systems. You'll play a key role in building production-grade ML models, scalable platforms, and real-time distributed systems — all within a high-performance team shaping the future of industrial AI.
What You’ll Work On:
Design and deploy ML models, algorithms, and pipelines in production.
Build robust MLOps platforms for automated ML workflows.
Develop scalable, distributed, real-time systems for high-throughput applications.
Write modular, clean code using OOP and design patterns.
Develop cloud-native applications and services.
Work with SQL and NoSQL databases (e.g., Postgres, MongoDB).
Implement CI/CD pipelines and follow strong SDLC practices.
Collaborate cross-functionally with data scientists, engineers, and product teams.
What We’re Looking For:
Bachelor’s in Computer Science, Engineering, or related field.
Proficiency in Python and experience with Java, Go, Rust, or C++ a plus.
Hands-on experience in MLOps, ML systems, and real-time data processing.
Strong with Cloud Platforms (AWS/GCP/Azure) and distributed systems.
Experience with Docker, Kubernetes, and CI/CD pipelines.
Strong software engineering practices: testing, version control, reviews, documentation.
Great analytical and debugging skills with a bias for clean, maintainable code.
If you're excited about working on cutting-edge tech in a collaborative, fast-moving environment — we'd love to connect!
