GENERAL DESCRIPTION
We are seeking a skilled machine learning engineer (ML Eng) to join one of our agile development teams in our ML & AI ART. In this role, you will play a key part in designing, building, and maintaining robust, scalable AI solutions within a DevOps environment. You'll contribute across the entire lifecycle - from concept to deployment - and collaborate closely with cross-functional teams to deliver high-quality digital solutions.
kEY FEATURES OF THE POSITION
Functional / Technical
- 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
- Testing and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI outputs
- Performance evaluation 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
SKILLS REQUIREMENTS OF THE POSITION
Competencies
- 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 manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule
- Continuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence
- Attention to detail and commitment to producing high-quality, reliable, and maintainable code
Education and skills requirements
- Bachelor's or Master'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
- Proven experience working with Large Language Models (LLMs)
- Good understanding of AI agents & 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 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
- Minimum 3 – 6 years of relevant work experience in machine learning, data science or a related field
