Ai Solution Developer I

Details of the offer

Parexel is in the business of improving the world's health.
We do this by providing a suite of biopharmaceutical services that help clients across the globe transform scientific discoveries into new treatments.
We believe in our values, Patients First, Quality, Respect, Empowerment & Accountability.
This role will work within our Scientific Data Technology 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.
This role is to be based in the UK and can be either office based (Uxbridge or Sheffield) or fully home based in the UK.
The offices are open planned, and you will be working in an innovative and collaborative environment with your international peers and colleagues.
As the AI Solution Developer I you will be responsible for leveraging Palantir Foundry to develop and implement production ready machine learning and AI solutions for high impact areas in Parexel's business.
In this role, you will design, develop, and deploy Applications, ML models and data pipelines within the Foundry ecosystem.
You will also work collaboratively with data engineers, software developers, product managers, and business stakeholders to develop innovative ML solutions and models from research to POC to production.
Key Accountabilities; ML and Gen AI Technology in Foundry 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 Applied ML POCs and Experimentation 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 AI-based Production Solutions 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 AI Expertise, Education, and Advocacy Act as an AI and Foundry advisor across Parexel Software Engineering 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.)
Education: Educated to Bsc.
or Master's level in Engineering or Computer Science with a focus on Machine Learning or other equivalent qualification/experience.
Skills: 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.
Knowledge and Experience : Intermediate experience with the following tools: Foundry (Workshop, Pipeline-builder, Ontology Manager), JIRA, Confluence, Docker, Git, GitHub, Intermediate experience working in applications with RESTful JSON API endpoints Intermediate 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.
In return we will be able to offer you a structured career pathway and encouragement to develop within the role including awareness and understanding of the industry.
You will be well supported and for your hard work you will be rewarded with a competitive base salary as well as a benefits package including holiday, private healthcare, dental insurance as well as other benefits that you would expect with a top company in the CRO Industry.
Apply today to begin your Parexel journey!
#LI-REMOTE


Nominal Salary: To be agreed

Source: Talent_Ppc

Requirements

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