AI/ML Engineer, 4+ years experience

General

We are looking for AI/ML Engineers to join our client team and contribute to design, development, and deployment of advanced machine learning systems that drive intelligent automation and data-driven decision-making across various industries.

Responsibilities/Activities

• Collect, preprocess, and clean data sets for model training and evaluation
• Design, train, and optimize machine learning and deep learning models for production use
• Build scalable data and model pipelines and integrate models into production systems
• Collaborate with software engineers and data teams to integrate AI components into business applications and APIs
• Conduct model evaluation, tuning, and validation to ensure reliability, accuracy, and performance
• Research and prototype emerging AI techniques (LLMs, multimodal learning, generative AI) to enhance solution capabilities
• Monitor and maintain model performance and accuracy in production environments

Requirements

Technical

• At least 4 years of previous experience in a similar role
• Strong programming skills in Python and major ML frameworks (PyTorch, TensorFlow, Scikit-learn)
• Proven experience with deep learning, natural language processing (NLP), with strong knowledge of third-party large language models (LLMs)
• Working experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools (MLflow, Kubeflow, Docker, Kubernetes)
• Experience with data engineering workflows: ETL pipelines, feature stores, or distributed data systems
• Knowledge of AI orchestration tools (LangChain, LlamaIndex, or similar) and model deployment at scale
• Familiar with RAG-based approaches that support AI models with retrieved context to improve accuracy and relevance
• Solid understanding of software engineering principles (version control, testing, CI/CD)
• Good understanding of Agile/Scrum methodologies

Education

• University degree in Computer Science, Data Science, or another related field

Others

• Good level of English (oral and written)
• Strong analytical and problem-solving skills
• Ability to learn quickly and adapt to new technologies
• Comfortable working under tight deadlines

Nice to have requirements

• Experience with multi-agent systems or autonomous AI workflows (e.g., LangGraph, AutoGen)
• Contributions to open-source AI projects or published research
• Exposure to multimodal AI systems (text, image, or audio)