Job Description
Key Responsibilities
- Develop, integrate, and optimise AI/ML solutions for business use cases
- Translate requirements into scalable AI applications (APIs, microservices)
- Work closely with Data Scientists, architects, and business/IT teams in an agile setup
- Support production deployment and industrialization of AI models
- Use generative AI tools (e.g. Copilot, ChatGPT, Claude, Cursor) to accelerate development
- Break down complex problems into structured prompts and validate AI-generated code
- Build and maintain MLOps pipelines (training, versioning, monitoring)
- Ensure code quality through testing, validation, and performance optimisation
- Optimise applications for scalability, latency, and cost efficiency
- Contribute to technical documentation (code, APIs, models, reusable prompts)
- Stay updated on emerging AI technologies and share best practices with the team
Skills & Experience
- 5+ years of experience in Python development with AI/ML focus
- Strong experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain)
- Hands-on experience with LLMs (fine-tuning, prompt engineering, RAG, agents)
- Experience using AI coding tools (Copilot, ChatGPT, Claude, Cursor) for development
- Strong knowledge of cloud platforms (AWS, Azure, or GCP)
- Experience with MLOps and CI/CD pipelines for AI solutions
- Good understanding of data engineering (data pipelines, preprocessing, feature engineering)
- Experience with databases (SQL, NoSQL, Vector DBs)
- API development experience (FastAPI, Flask, REST)
- Familiarity with Docker and Kubernetes
- Strong focus on testing and code quality (pytest, unittest, coverage tools)
- Experience with Git (GitHub/GitLab)
Preferred Skills & Attributes
- Experience in Computer Vision and/or NLP
- Strong problem-solving and analytical thinking
- Ability to structure problems and write effective AI prompts
- Critical mindset towards AI-generated code
- Pragmatic approach balancing speed and quality
- Strong collaboration and communication skills
- Self-driven with strong ownership
- Agile and adaptable mindset
- Willingness to share knowledge and mentor others
Work Environment
- Agile, fast-paced innovation environment
- Close collaboration with cross-functional teams (data, engineering, business)
- Strong focus on AI-driven development and rapid delivery
- English-speaking environment (mandatory)
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