ML Engineer

We are working with a fast-growing tech company that specializes in designing, developing, deploying, and maintaining cutting-edge machine learning models and AI-powered applications.

The Role

• Design, develop, train, and optimize machine learning and deep learning models for production use.
• Build end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
• Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions.
• Deploy, monitor, and maintain machine learning models in production environments.
• Develop scalable AI services and APIs using Python and modern ML frameworks.
• Implement MLOps best practices for versioning, automation, model monitoring, and continuous improvement.

What You'll Need

• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, or a related field.
• Strong proficiency in Python programming.
• Hands-on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Solid understanding of supervised, unsupervised, and reinforcement learning techniques.
• Experience with data preprocessing, feature engineering, model training, and evaluation.
• Experience deploying machine learning models into production environments and familiarity with MLOps concepts.

What's On Offer

• Opportunity to work with cutting-edge AI technologies, including LLMs and Generative AI.
• Collaborative environment with data scientists, software engineers, and business stakeholders.
• Chance to build scalable AI solutions that solve real-world business problems.
• Exposure to cloud platforms like AWS, Azure, or Google Cloud and container technologies like Docker and Kubernetes.

Apply via Haystack today!