Role overview
You are passionate about machine learning and enjoy transforming real-world business problems into data-driven solutions.
You thrive in environments where you can experiment, iterate, and build models that deliver real value.
You communicate clearly, collaborate effectively with stakeholders, and enjoy working at the intersection of data, software engineering, and applied ML.
You care about code quality, reproducibility, and understanding the why behind the data.
Most importantly, you are motivated to design and deploy ML solutions that make a tangible impact for clients.
*About the Role
Position:** Full-time / Part-time
Location: Remote-first
Benefits: Flexible working culture, growth opportunities, learning budget, team events, and more
KodBriX is looking for a Machine Learning Engineer to design, develop, and deploy machine learning solutions for client projects.
You will work closely with data engineers, AI engineers, and architects to build robust ML pipelines and predictive systems that support real business outcomes.
This is a hands-on role with a strong focus on model development, MLOps, and production deployment.
What you'll work on
- Design, build, and deploy machine learning models for client use cases
- Develop end-to-end ML pipelines: data preparation → feature engineering → training → validation → deployment
- Collaborate with data engineers to ensure reliable data pipelines and high-quality features
- Implement MLOps practices, including model versioning, monitoring, CI/CD, and lifecycle management
- Build predictive analytics solutions such as classification, regression, forecasting, and anomaly detection
- Translate business requirements into scalable ML solutions in collaboration with client teams
- Evaluate models objectively and optimize performance using appropriate metrics
- Deploy and operate models on Azure, AWS, or client-specific cloud environments
- Document solutions and follow best engineering and ML best practices
- Stay up to date with emerging ML/AI tools, frameworks, and techniques