Senior Data Scientist / Machine Learning / AI Engineer

What project we have for you

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.

What you need for this

• 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.

What it’s like to work at Intellias

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.

We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.

We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.