Artificial Intelligence Engineer

About the job

This role is not open for candidates located outside UK / UAE

About Freyr

Freyr is a fast-growing, innovative company specializing in providing end-to-end regulatory solutions and services for the Life Sciences industry. With a commitment to excellence and innovation, we assist pharmaceutical, medical device, and biotech companies in navigating the complexities of regulatory compliance.

Why Freyr?

At Freyr, we believe in fostering a collaborative and dynamic work environment that empowers our team to make a real impact. As we expand our footprint to Warsaw, Poland, we are on the lookout for passionate and skilled Regulatory professionals to join us in shaping the future of regulatory services.

Join Our Team:

If you're ready to embark on a journey of growth and innovation, connect with us to explore the exciting opportunities awaiting you at Freyr's new chapter in Warsaw, Poland. Together, we can shape the future of regulatory solutions.

📢 To Apply:

Please apply to this job post or you can visit our Careers page for more openings

Visit our Careers page at (https://www.freyrsolutions.com/careers/current-positions) to explore current job openings and submit your application.

Don't miss this chance to be a part of Freyr's expansion and make your mark in the world of regulatory services. Let's redefine regulatory excellence together!

Title : AI ML Engineer

Location : UK / UAE ( Base location should be UK / UAE)

Key Skills : Agentic AI, LLMOps, LLM Agents, RAG

Job Description :

• Designing Automation process solutions in accordance with standard design principles and conventions.
• An aptitude for problem-solving, with the ability to take a logical route to the source of an error. Design and Develop ML-based automation for using open-source software like Python, R, etc. Engineering Degree in computer science or any relevant engineering field.
• Tools and Framework: PyTorch, Python, R, TensorFlow, Keras, skit learn, NumPy, pandas
• Design and develop end-to-end GenAI solutions on top of life sciences regulatory and medical data, using LLMs and agent-based architectures.
• Packaging and deploying scalable Python-based APIs in production.
• Close collaboration with the platform team to ensure high availability and optimized performance of deployed ML services.
• Designing data pipelines that efficiently deliver data for machine learning R&D and data engineering activities.
• Conducting R&D activities around extracting business value by applying state-of-the-art ML methods.
• Effectively distill and communicate technical activities in both intra- and inter- team discussions.

Primary responsibilities:

• Develop Agentic system
• Develop Agent workflows and integration with business modules using MCP
• Fine tuning and prompt tuning LLM
• Develop NLP systems according to requirements Retrain transformer models.
• Develop TF-IDF Models and other Term Frequency model / Markov Model. Study and transform data science prototypes
• Design NLP applications on the text modelling Annotate / Labeling the dataset as per ML problem statement.
• Select appropriate annotated datasets for Supervised Learning methods
• Use effective text representations to transform natural language into useful features
• Find and implement the right algorithms and tools for NLP tasks
• Train the developed model and run evaluation experiments
• Perform statistical analysis of results and refine models Evaluate the Language Model.
• Extend ML libraries and frameworks to apply in NLP/NLU ML tasks
• Remain updated in the rapidly changing field of machine learning
• Facilitate the integration of ML model in backend and frontend.