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Hybrid Senior AI Solution Developer

at Parexel
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Posted 3 weeks ago

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About the role

  • 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.
  • Develop 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).
  • Strong and proven CS fundamentals including data structures, algorithms, and distributed systems.
  • Strong and proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc.
  • Strong and 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.
  • Broad skillset with 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.
  • A strong interest and passion for Machine Learning and Generative AI and demonstration of this is essential.
  • Advanced and strong experience with the following tools: Foundry (Workshop, Pipeline-builder, Ontology Manager), JIRA, Confluence, Docker, Git, GitHub.
  • Strong experience working in applications with RESTful JSON API endpoints.
  • 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).
  • Strong experience owning the delivery of value-driven production-quality AI solutions and models and experiencing acting as a lead on such projects in a professional engineering context

Benefits

  • holiday
  • private healthcare
  • dental insurance

Job title

Senior AI Solution Developer

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AzureDistributed SystemsDockerNumpyPythonPyTorchReactScikit-LearnTensorflow

Location requirements

HybridSheffieldUnited Kingdom

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