Responsibilities
- 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.
Basic qualifications
- 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).
Preferred qualifications
- Experience working with natural language processing, computer vision, recommendation systems, or other applied ML domains.
- Familiarity with model deployment, experiment tracking, and model monitoring tools.
- Experience working with distributed systems and scalable ML infrastructure.
- Exposure to modern techniques such as transformer architectures, embeddings, or large language models.
- Experience working in a fast-paced startup or product-driven environment.
Benefits
- Remote Work Opportunitity
- Corp to corp (C2C) preferred or contract
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Machine Learning Data Engineer Ai