Responsibilities
- 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
Basic qualifications
- Bachelor’s degree in Computer Science, Data Science, Machine Learning, Engineering, or a related field
- Strong Python programming skills
- Hands-on experience with ML frameworks such as:
- Scikit-learn, XGBoost, LightGBM
- Bonus: TensorFlow or PyTorch
- Experience developing ML models for real-world or production-oriented problems
- Solid understanding of feature engineering, model evaluation, and validation techniques
- Experience with cloud-based ML platforms such as Azure ML, AWS SageMaker, or similar
- Understanding of the ML lifecycle, reproducibility, and model monitoring
- Familiarity with Docker and APIs for model deployment
- Strong analytical thinking, problem-solving, and communication skills
- Ability to work independently while collaborating with cross-functional teams
- Experience with MLOps tools such as MLflow, DVC, Feast, Databricks
- Experience with deep learning frameworks (PyTorch, TensorFlow)
- Experience with time-series forecasting
- Familiarity with Spark or distributed data processing
- Experience integrating ML models into client applications (microservices, APIs)
- Knowledge of DevOps practices (CI/CD, GitHub Actions, Azure DevOps, etc.)
About the company
Welcome to KodBriX, where innovation meets execution.
At KodBriX, we help organizations leverage data, machine learning, and modern cloud technologies to drive intelligent decision-making and measurable business impact.
We design and deliver scalable solutions that empower clients with predictive insights and automation.
We are a fast-growing, remote-first tech company with a global mindset.
Our team brings together diverse expertise, strong engineering culture, and a passion for building impactful, high-quality solutions.
Tags & focus areas
Used for matching and alerts on DevFound Parttime Fulltime Remote Machine Learning Ai