Design, develop, and deploy machine learning models to solve business problems across large-scale datasets.
Build and optimize machine learning pipelines for data preparation, model training, and inference.
Collaborate with data engineers and software engineers to develop scalable ML infrastructure and pipelines.
Research and implement modern machine learning techniques, including deep learning and large language models where appropriate.
Work closely with product and cross-functional teams to translate business requirements into technical solutions.
Deploy and maintain machine learning models in production environments.
Monitor model performance, conduct experiments and A/B testing, and continuously improve model accuracy and reliability.
Contribute to the team's engineering best practices, including code reviews, documentation, and knowledge sharing.

5+ years of professional experience in machine learning engineering or a related role.
Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX.
Experience building, training, and deploying machine learning models in production environments.
Experience working with data pipelines and large-scale datasets.
Proficiency with cloud platforms (AWS, GCP, or Azure) and familiarity with MLOps practices.
Strong understanding of data structures, algorithms, and software engineering principles.
Experience with large-scale data processing frameworks (Spark, Dask, or similar).
Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field (or equivalent experience).

Machine Learning Engineer – Contractor

Key skills