Requirements

Expected technologies

Python

Azure OpenAI

LLM

Data Science

FastAPI

ML

AI

Our requirements

• A master's degree in Computer Science, Data Science, Mathematics, Statistics, or related field
• 5+ years of experience in AI and Data Science and it would be great if you have experience within manufacturing
• 2+ years of experience of working with LLMs, transformer models, vector databases, RAG frameworks, Langchain, etc.
• Excellent skills within Python, SQL, and cloud computing technologies
• Experience with Python packages such as FastAPI, SQLAlchemy and Pydantic
• Hands on experience in deploying models and algorithms into production systems is desirable
• Experience with ML Ops tools and frameworks such as Kubeflow, MLflow, e.g. is desirable
• Experience with Kubernetes and Docker is desirable
• Professional proficiencyin the English language

Your responsibilities

• Develop and deploy AI products & applications
• Use various modern technologies, tools and packages such Azure OpenAI, LLMs, vector databases, Langchain etc. to engineer AI products at scale
• Maintain custom GenAI products such as in house developed LLM solution.
• Develop and maintain various LLM APIs and backend functionality that supports custom AI products
• Use cloud technologies such as Azure, OpenShift, VertexAI, etc. to support the ML Engineer by contributing to the development of our core AI platform
• Automate infrastructure provisioning (IaC) and CI/CD processes for custom AI workloads
• Follow Machine Learning processes and Best Practices
• Develop and maintain best practices and standards for carrying out AI based projects
• Collaboration with the team in identifying areas for improvement and recommend strategies to enhance the data science function in our organization
• Ensure continuous learning and development
• Stay up to date with the latest developments in AI to ensure that our practices are cutting-edge