Staff AI/ML Engineer

at  Fortrea

As a leading global contract research organization (CRO) with a passion for scientific rigor and decades of clinical development experience, Fortrea provides pharmaceutical, biotechnology, and medical device customers a wide range of clinical development, patient access and technology solutions across more than 20 therapeutic areas. With over 19,000 staff conducting operations in more than 90 countries, Fortrea is transforming drug and device development for partners and patients across the globe.
The Staff AI/ML Engineer holds a central role in propelling Fortrea’s AI/ML initiatives forward. This professional specializes in conceptualizing, architecting, and implementing cutting-edge AI/ML solutions that enhance operational efficiencies and strategic decision-making across the organization. The ideal candidate possesses a profound understanding of AI/ML methodologies, excels in leveraging advanced AI/ML algorithms to develop robust models, demonstrates proficiency in Python development, and exhibits exceptional leadership and communication skills to collaborate effectively across multidisciplinary teams.

Summary of Responsibilities:

• Spearhead the design and development of sophisticated machine learning models and algorithms tailored to optimize diverse facets of Fortrea’s operations, including but not limited to clinical trial optimization, predictive analytics, and personalized healthcare solutions
• Architect and implement APIs utilizing state-of-the-art frameworks such as FastAPI to facilitate seamless integration of AI/ML capabilities into existing systems
• Harness the power of OpenSource libraries and frameworks to build, train, and deploy AI models at-scale
• Establish rigorous procedures for model validation and code review to ensure the reliability and robustness of AI/ML solutions
• Continuously assess and refine AI/ML models to uphold precision, scalability, and alignment with evolving business requirements.
• Drive innovation across the application development lifecycle, from conceptualization and design to testing and deployment.
• Collaborate closely with data scientists, engineers, and internal and external business stakeholders to translate business needs into actionable AI/ML solutions that drive tangible value.
• Mentor and coach junior team members, fostering their professional growth and proficiency in AI/ML engineering.
• Conduct comprehensive testing and troubleshooting to address any issues encountered during the development and deployment phases.
• Stay abreast of emerging AI technologies, methodologies, and best practices to inform continuous improvement initiatives.

Qualifications (Minimum Required):

• Bachelor’s degree in computer science, Data Science, Mathematics, Statistics, or a related field. Equivalent experience may be considered.
• Demonstrated track record of delivering impactful AI/ML applications.
• Proficiency in Python programming and extensive experience with relevant libraries such as NumPy, Pandas, TensorFlow, PyTorch, Keras, etc.
• Familiarity with programming languages such as Java SDK, React and JavaScript
• Deep understanding of AI/ML concepts, encompassing machine learning algorithms, neural networks, natural language processing, etc.
• Strong grasp of databases, data modeling, and proficiency in either of GraphQL, SQL, MongoDB, etc
• Experience with cloud computing platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes).
• Expertise in API development
• Outstanding problem-solving abilities and analytical acumen.
• Exceptional communication and interpersonal skills.

Experience (Minimum Required):

• Minimum 7-10 years of hands-on experience in Software/Solution development, with a focus on AI/ML product development.

Preferred Qualifications Include:

• Prior experience working within Agile development methodologies.
• Proven expertise in leading end-to-end AI/ML product development initiatives, from ideation to deployment.
• Proven ability to work effectively in a team setting and be a self-starter.
• Demonstrated ability to learn quickly, multitask, and adapt to a rapidly changing environment.

#LI-REMOTE

Fortrea is actively seeking motivated problem-solvers and creative thinkers who share our passion for overcoming barriers in clinical trials. Our unwavering commitment is to revolutionize the development process, ensuring the swift delivery of life-changing ideas and therapies to patients in need. Join our exceptional team and embrace a collaborative workspace where personal growth is nurtured, enabling you to make a meaningful global impact. For more information about Fortrea, visit www.fortrea.com.
Fortrea is proud to be an Equal Opportunity Employer:
As an EOE/AA employer, Fortrea strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. We encourage all to apply.
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• Spearhead the design and development of sophisticated machine learning models and algorithms tailored to optimize diverse facets of Fortrea’s operations, including but not limited to clinical trial optimization, predictive analytics, and personalized healthcare solutions
• Architect and implement APIs utilizing state-of-the-art frameworks such as FastAPI to facilitate seamless integration of AI/ML capabilities into existing systems
• Harness the power of OpenSource libraries and frameworks to build, train, and deploy AI models at-scale
• Establish rigorous procedures for model validation and code review to ensure the reliability and robustness of AI/ML solutions
• Continuously assess and refine AI/ML models to uphold precision, scalability, and alignment with evolving business requirements.
• Drive innovation across the application development lifecycle, from conceptualization and design to testing and deployment.
• Collaborate closely with data scientists, engineers, and internal and external business stakeholders to translate business needs into actionable AI/ML solutions that drive tangible value.
• Mentor and coach junior team members, fostering their professional growth and proficiency in AI/ML engineering.
• Conduct comprehensive testing and troubleshooting to address any issues encountered during the development and deployment phases.
• Stay abreast of emerging AI technologies, methodologies, and best practices to inform continuous improvement initiatives