Machine Learning Engineer

About This Role

This Machine Learning Engineer role involves designing, building, and maintaining robust, scalable AI solutions within a DevOps environment as part of an agile development team in the ML & AI field. The position suits a skilled engineer eager to play a key part in developing advanced AI capabilities.

Responsibilities

• Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges
• Create multi-agent systems and equip AI models with function/tool-calling capabilities
• Design and implement RAG systems to ground AI responses in enterprise data
• Assess and integrate AI models (e.g., LLMs) ensuring optimal performance and reliability
• Optimize agentic workflows and AI agents for production use cases
• Test and optimize system prompts and few-shot examples to ensure accurate, consistent, and safe AI outputs
• Evaluate the performance of machine learning and AI models using appropriate metrics, evaluation sets, and techniques, and continuously iterate and improve upon them
• Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions
• Apply strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges
• Utilize excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization
• Manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule
• Maintain a continuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence
• Demonstrate attention to detail and commitment to producing high-quality, reliable, and maintainable code

Requirements

• Bachelor’s degree in data science, Computer Science, Mathematics, Statistics, or a related field
• Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch
• 6-8 years of relevant work experience in machine learning, data science, or a related field
• Proven experience working with Large Language Models (LLMs)
• Good understanding of AI agents and agentic workflows, LLM orchestration frameworks, and reasoning patterns
• Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
• Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
• Understanding of software development best practices, including version control, testing, and documentation
• Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively