ML Engineer

We are working with an innovative company that specializes in building AI-powered applications to solve complex business problems.

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

• Strong expertise in Python, machine learning algorithms, and data processing.
• Experience with model deployment and optimizing model inference performance.
• Ability to work with structured and unstructured data from various sources.
• Experience with data analysis, experimentation, and model validation.
• Excellent communication skills to collaborate with data scientists, software engineers, and business stakeholders.
• Experience in documenting model architectures, development processes, and technical solutions.
  
  

What's On Offer

• The chance to work on cutting-edge AI solutions.
• A collaborative and innovative work environment.
• The opportunity to make a significant impact on real-world business problems.
  
  

Apply via Haystack today!