Senior AI ML Developer

The project involves designing and deploying advanced AI systems leveraging deep learning, NLP, and generative AI technologies. It includes building production-grade LLMs, agentic AI pipelines, and intelligent automation workflows using frameworks like PyTorch, TensorFlow, LangChain, and AutoGen. The role requires developing scalable microservices and distributed architectures, integrating AI models into enterprise systems, and implementing secure, compliant data pipelines.

The project also focuses on creating end-to-end ML workflows, including feature engineering, ETL, model training, evaluation, and monitoring. Responsibilities include deploying AI solutions on AWS, Azure, or GCP with containerization, using Docker and Kubernetes. The project emphasises strong MLOps practices such as model versioning, CI/CD, experiment tracking, and performance benchmarking. Additionally, it requires innovating with agentic AI, multi-step reasoning, and tool-integrated AI systems to deliver high-impact business outcomes.

Sii ensures that all employment-related decisions are made solely on the basis of qualifications and competencies. We are committed to equal treatment of all individuals, regardless of any protected characteristics, and promoting a diverse and inclusive work environment.

Your tasks

• Designing and deploying advanced AI and LLM-based systems for production use
• Building and training large-scale machine learning and generative AI models
• Developing and integrating microservices, data pipelines, and enterprise AI components
• Implementing and managing MLOps workflows, including CI/CD, versioning, and monitoring
• Researching and innovating with agentic AI, modern frameworks, and new model architectures
  
  

Requirements

• Advanced expertise in LLMs, generative AI, and modern AI frameworks
• Strong programming proficiency in Python and experience with production-grade ML systems
• Hands-on experience with TensorFlow, PyTorch, LangChain, or similar AI toolkits
• Cloud and containerization knowledge (AWS, Docker, Kubernetes)
• Solid understanding of data engineering, pipelines, and MLOps practices
  
  

Job no. 251204-EG9OM

Benefits For You

Diverse portfolio of clients

Wide portfolio of technologies

Employment stability

Remote work opportunities

Contracts with the biggest brands

Great Place to Work Europe

Many experts you can learn from

Open and accessible management team

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