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This role will work within our Scientific Data Technology and AI department which is an innovative team that will build and deploy leading AI-driven solutions to improve workflows common across both Parexel and the life sciences industry. The team partner and support the business in building best-in-class AI-driven solutions when nothing suitable exists.
Job Responsibility:
Leverage Palantir Foundry to build and deploy reusable custom machine learning models, Ontologies and end-user applications
Design, implement, and document new ML/Gen AI modeling techniques and strategies
Develop ML pipelines and workflows in Foundry to support AI solution development and deployment
Review and adapt recent research in ML and Gen AI into Foundry-based prototypes and production solutions
Review code and pipelines of other engineers to enhance ML quality and security within Foundry
Understand business needs and user workflows and support interpretation in the context of potential AI solutions in Foundry
Support development of custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs
Lead experiment and model evaluation design based on well-founded best practices in machine learning to ensure safe, effective, and principled AI development practices within Foundry
Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments
Collaborate with Product to define and implement features to satisfy customer requirements within Foundry
Design and develop high quality AI-based production pipelines, workflows and applications in Foundry
Participate in planning and check-in meetings to identify customer needs, potential roadblocks and solutions and support the software solution lifecycle within the Foundry ecosystem from an AI perspective
Act as an AI and Foundry advisor across Parexel
Develop front-end software and user experiences using the latest application programming frameworks, libraries and languages with focus on using Palantir’s Foundry platform (Workshop, Slate, etc.) and external frameworks / libraries (React etc.)
Requirements:
Educated to BSc. or MSc level in Engineering or Computer Science with a focus on Machine Learning (and GenAI) or other equivalent qualification/experience
Experience in Palantir Foundry, it’s ecosystem and components, including building Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines
Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry)
Proven CS fundamentals including data structures, algorithms, and distributed systems
Proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc.
Proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry
Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit-learn, TensorFlow)
Experience with data modeling and pipeline development in Palantir Foundry
Experience with frontend development for intuitive user experience
Practical understanding of database technologies including relational, non-relational and graph
Excellent interpersonal, verbal, and written communication skills and ability to advise and mentor
A flexible attitude with respect to work assignments and new learning
Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail
Willingness to work in a matrix environment with a variety of nontechnical stakeholders and technical collaborators, and to value the importance of teamwork
Intermediate to advanced level experience with the following tools: Foundry (Workshop, Pipeline-builder, Ontology Manager), JIRA, Confluence, Docker, Git, GitHub
Intermediate to advanced experience working in applications with RESTful JSON API endpoints
Intermediate to advanced experience with Azure and Docker
Experience producing high quality code in a shared context
Up to date with state of the art in Machine Learning (and Gen AI techniques/models)
Experience contributing to delivery of value-driven production-quality AI solutions and models
A strong interest and passion for Machine Learning and Generative AI and demonstration of this is essential