We are a trusted CDMO partner for life. At FUJIFILM Diosynth Biotechnologies (FDB), we encourage you to discover what inspires you every day, to follow your passion and your power – what we call Genki. The work we do has the potential to transform people’s lives and to impact where it matters most. Each day is an opportunity to push the boundaries of your potential, so join our Global IT Team as a Senior AI Engineer and become part of a fast-growing global company, united by Genki. We are different. We strive for better. Our people never settle for the status quo and as you push the boundaries of your potential, you not only change your life, you change others’ too. We are looking for people who share our passion, drive, and energy – what we call Genki. Join us and commit your life’s work to impacting where it matters most: human lives.
We are a dynamic global company and our focus is to combine technical leadership in cell culture, microbial fermentation and gene therapies with world class cGMP manufacturing facilities to advance tomorrow’s medicines.
With sites in Billingham & Wilton UK, Hillerod Denmark, North Carolina and Texas USA, the size and breadth of our business will open up huge opportunities for you, whether you want to move to a different role in the UK, relocate, or progress and take on more responsibility.
Our teams are proud to partner with innovative companies reimagining what’s possible in biopharmaceuticals. Every day at FDB is a day for improvement, each challenge is an opportunity for growth, and every moment is a chance to evolve together.
As the Senior AI Engineer, you will be responsible for developing and deploying artificial intelligence and machine learning models. You will work closely with data scientists, software developers, and business analysts to design intelligent solutions that enhance our products, services, and operations. Simplicity and adaptability is important in everything we do!
Principal Accountabilities
* Model Development: Design, develop, and implement machine learning and AI models to solve business problems
* Data Preparation: Collaborate with data engineers to ensure data is prepared and curated for model training, including data cleaning and feature engineering
* Integration: Work with software engineers to integrate AI models into existing or new applications using APIs or other integration methods
* Testing & Evaluation: Conduct rigorous testing and evaluation of models to ensure accuracy, efficiency, and scalability, and refine models based on performance metrics
* Deployment: Deploy AI models into production environments, monitor their performance, and iterate based on user feedback and business needs
* Collaboration: Collaborate with cross-functional teams to identify AI opportunities and provide technical expertise
* Research: Stay up-to-date with the latest advancements in AI technologies and methodologies and apply them where applicable
* Documentation: Document model designs, development processes, and integration workflows for future reference
* All other duties assigned
Minimum Education And Experience Required
* Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
* 5+ years of experience in AI and machine learning and deep learning model development/frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost
* Strong programming skills in languages such as Python, R, Java, C++, and/or MATLAB
Knowledge, Skill And Abilities
* Proven experience utilizing cloud platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, IBM Watson
* Advanced knowledge of all AI aspects (Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Large Language Models)
* Working knowledge of stakeholder management within IT and business
* Strong communication skills
* Ability to convey technical information in a concise manner to a variety of audiences
* Excellent problem solving skills and ability to work in a team environment
* Knowledge of basic algorithms, object-oriented and functional design principles, and best practice patterns
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