Machine Learning Engineer

Job description

We are looking for an experienced Machine Learning Engineer to join our team. In this role, you will play a key role in designing, developing, and maintaining robust, scalable AI solutions in a DevOps environment. You will contribute throughout the entire lifecycle—from conception to deployment.

Tasks

- Evaluating, deploying, and optimizing machine learning and AI solutions that address complex business challenges. - Building multi-agent systems and equipping AI models with function/tool invocation capabilities. - Designing and implementing RAG systems to ground AI responses in enterprise data. - Evaluating and integrating AI models (e.g., LLMs) to ensure optimal performance and reliability. - Optimizing agent workflows and AI agents for production use cases. - Testing and optimizing system prompts and few-shot examples to ensure accurate, consistent, and safe AI outputs. - Evaluating the performance of machine learning and AI models using appropriate metrics, evaluation sets, and techniques, and driving continuous improvement. - Collaborating with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes. - Participating in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions.

Regulatory responsibilities and risk management

- Demonstrating appropriate values and behaviors, including, but not limited to, standards of honesty and integrity, due care and diligence, fair dealing (equitable treatment of customers), conflict management, competence and continuous development, appropriate risk management, and compliance with applicable laws and regulations.

Your profile

Social and personal skills

- Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges. - Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization. - Ability to effectively manage personal workflows, prioritize tasks, manage schedules, and deliver high-quality results on time. - A commitment to continuous learning, with a passion for staying up to date on the latest developments in machine learning and artificial intelligence. - Attention to detail and a commitment to writing high-quality, reliable, and maintainable code.

Requirements

- Experience with large language models (LLMs). - A solid understanding of AI agents and agent workflows, LLM orchestration frameworks, and reasoning patterns. - Experience with data processing, 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. - Relevant professional