Senior Principal AI/ML Engineer

About the Role

Key Responsibilities

• Design and develop Generative AI applications, including RAG-based systems and LLM fine-tuning from internal data.
• Evaluate and implement use-case specific LLMs and agent-based applications.
• Work on NLP tasks such as Named Entity Recognition, relationship extraction, and document/text classification across unstructured data.
• Design and implement scalable data pipelines for model training and inference.
• Build and optimize data processing systems, workflows, and storage solutions.
• Evaluate new technologies and models, and collaborate across teams to architect innovative solutions.
• Provide leadership and technical direction to business units and partners.
• Participate in creating technical solutions, designs, and continuous improvement of R&D tech systems in line with agile and DevOps principles.

Requirements

• Bachelor's degree in computer science.
• Significant experience working in AI/ML and Python.
• Strong Python programming skills with experience in building production applications.
• Demonstrable experience with Generative AI, including RAG, chunking, vectorising, indexing, retrieval, reranking, prompting, and function calling, using tech stacks like OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa.
• Hands-on experience with training and evaluating BERT-like models for NLP or classification tasks.
• Experience with data pipeline development, ETL processes, and working with large datasets.
• Hands-on experience with ML tools such as TensorFlow and PyTorch.
• Experience with Azure cloud services including AKS, Azure AI, ADF, and Document Intelligence.
• Excellent problem-solving and software engineering practices.
• Excellent communication skills.

Nice to Have

• Master's or PhD in Computer Science.
• Experience with multi-agent systems (LangGraph, Autogen, CrewAI) and multimodal LLMs (GPT4 Omni, Qwen-vl, DocOwl).
• Experience in training, evaluating, and hosting open-source LLMs.
• Some experience with MLOps.
• Full-stack development experience.
• Experience with UI technologies like React.
• Experience building search applications using Azure Search, Sinequa, Elastic, or Lucene-based solutions.
• Familiarity with containerization technologies such as Docker and Kubernetes.

Qualifications

• Bachelor's degree in computer science.

Benefits & Perks

• Flexible working arrangements and agile work culture.
• Opportunity to work on cutting-edge AI/ML projects in a global biopharma environment.
• Supportive environment focused on growth, inclusion, and wellbeing.