Senior Artificial Intelligence Engineer

at  Fujifilm Diosynth Biotechnologies

FUJIFILM Diosynth Biotechnologies :
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.
About Us:
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.
Role & Responsibilities:
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

Qualifications and Experience:

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 maching 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, Maching 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

Why work with us?:
As part of any recruitment process, FUJIFILM Diosynth Biotechnologies collects and processes personal data relating to job applicants. The organisation is committed to being transparent about how it collects and uses that data and to meeting its data protection obligations and may share this as part of the global recruitment process with hiring managers in Europe and the United States.
The US salary range for this position is $_ to $___. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience.
FUJIFILM Diosynth Biotechnologies is an industry leading Contract Development and Manufacturing Organization (CDMO) with locations in Teesside, United Kingdom; RTP, North Carolina; Holly Springs, North Carolina; Thousand Oaks, California; Hillerød, Denmark; and College Station, Texas. We use our skills, dedication, and ambition to enable impact for the world’s most innovative biotech and biopharma companies reimagining healthcare’s potential. We work across the entire lifecycle of our customer’s products – enabling success throughout. Every cure, vaccine, biologics, and advancement we contribute to starts with our people and our passion.
FDBU works with technical data, technology and materials that are subject to U.S. export laws and regulations. This position will require access to technical data, technology and source code that is controlled under U.S. export laws and regulations, including but not limited to the International Traffic in Arms Regulations at 22 C.F.R. Parts 120 – 130 and Export Administration Regulations in 15 C.F.R. Part 730 – 774, as may be amended. To conform to these laws and regulations, applicants must be U.S. citizens, lawful permanent residents of the U.S., protected individuals as defined by 8 USC 1324(b)(a)(3) (i.e., asylees and refugees) or otherwise eligible for an export authorization from the U.S. Department of State or U.S. Department of Commerce. Offers of employment will be contingent on the Company’s ability to secure an export authorization.
FDBU is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identify or any other protected class. If an accommodation to the application process is needed, please e-mail FDBUHR@fujifilm.com.
To all agencies: Please, no phone calls or emails to any employee of FUJIFILM about this requisition. All resumes submitted by search firms/employment agencies to any employee at FUJIFILM via-email, the internet or in any form and/or method will be deemed the sole property of FUJIFILM, unless such search firms/employment agencies were engaged by FUJIFILM for this requisition and a valid agreement with FUJIFILM is in place. In the event a candidate who was submitted outside of the FUJIFILM agency engagement process is hired, no fee or payment of any kind will be paid.

• 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 assigne