Senior Data Scientist / Machine Learning / AI Engineer

Are you a skilled Machine Learning engineer with a passion for Computer vision, NLP or Generative AI? Do you have a knack for understanding both the technical intricacies and the business implications of data-driven solutions? If so, we have an exciting opportunity for you to join our team as machine Learning Engineer

What you will do

• Drive/Participate the ideation, development, and execution of POCs and AI related project
• Develop and implement machine learning models, algorithms, and data-driven solutions to address complex business problems
• Collaborate cross-functionally with engineering, product management, and other relevant teams to integrate data-driven functionalities into our products.

• Senior-level experience in Data Science, Machine Learning and AI engineering.
• Strong programming skills in Python
• Strong understanding of Large Language Models (LLMs), including architectures, capabilities, limitations and practical use cases.
• Experience working with embedding models and semantic search techniques.
• Hands-on experience designing and building Retrieval-Augmented Generation (RAG) applications.
• Knowledge of prompt engineering and LLM orchestration frameworks (e.g. LangChain or similar tools).
• Experience integrating LLMs through APIs and deploying AI-powered applications.
• Understanding of AI evaluation methodologies, including LLM performance evaluation and monitoring.
• Experience with Azure cloud services, particularly services relevant to AI and data workloads.
• Practical experience with Azure DevOps, including CI/CD pipelines and repository management.
• Experience containerising applications using Docker.
• Experience deploying and managing containerised workloads with Kubernetes.
• Familiarity with MLOps best practices, including model versioning, deployment and monitoring.
• Experience building and maintaining scalable and production-ready ML/AI systems.
• Knowledge of REST APIs and microservice architectures.
• Understanding of software engineering best practices, including testing, code reviews and clean code principles.
• Strong problem-solving and communication skills, with the ability to collaborate effectively with cross-functional teams.