Role overview
- A Machine Learning Engineer designs, builds, and deploys machine learning models and systems that enable data-driven automation and intelligence.
- They work closely with data scientists and software engineers to turn prototypes into scalable, production-ready AI solutions.
What you'll work on
- Design and develop machine learning models and algorithms for predictive and analytical tasks
- Build and optimize data pipelines for model training and deployment
- Collaborate with data scientists to transform research models into production applications
- Monitor and improve model performance, accuracy, and efficiency
- Implement MLOps best practices for automation, deployment, and maintenance
- Stay updated with the latest AI/ML frameworks, techniques, and tools
What we're looking for
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
- Strong programming skills in Python (and familiarity with R, Java, or C++)
- Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn
- Proficiency in data preprocessing, model evaluation, and feature engineering
- Knowledge of cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes)
- Understanding of statistics, linear algebra, and probability
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Machine Learning Data Science Mlops Pytorch Tensorflow