Lead automation deployment projects, develop process requirements, validate processes, improve yield, collaborate with vendors, support NPI and continuous improvement in a regulated manufacturing environment.
Responsibilities
Lead automation deployment projects from design through to production implementation.
Develop equipment and process requirements, including Engineering Requirement Specifications (ERS).
Execute and support process validation activities, including IQ, OQ and PQ protocols.
Drive yield improvement initiatives through data analysis, process optimisation and risk management.
Collaborate with automation vendors and internal stakeholders on robotics and machine vision solutions.
Requirements
Bachelor's degree in Mechatronics Engineering or a related engineering discipline
Machine Learning Associate Advisor role focused on transforming healthcare using AI and ML algorithms, specifically developing LLM, GenAI, and Agentic solutions.
Responsibilities
Embed with Business and Product Development to ship production AI systems
Architect scalable, resilient generative and agentic AI solutions for the business
Build with large language models, open-source models, machine learning
Leverage Large Language Models (LLMs) in the enterprise in a compliant and secure manner
Focus on speed to market and getting Products and Services in the hands of customer
Shape the future of perception technology by researching, designing and implementing state‑of‑the‑art deep‑learning solutions for autonomous and non‑autonomous platforms.
Compensation
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.
Responsibilities
Research, design and implement state‑of‑the‑art perception capabilities, taking ideas from conception into world‑class field solutions
Work with and deploy our AI stack to edge devices
Work in collaboration with the other deep learning engineers to architect and develop tools to help scale up our deep learning operations
Stay abreast with the literature and actively involve in various R&D project(s)
Requirements
Relevant tertiary qualifications (Bachelors/Master/PhD in Computer Science or related fields)
Nice to have: Publication(s) in world‑leading Computer Vision/Artificial Intelligence/Machine Learning conferences/journals
Nice to have: C++ and/or Python development experience
Nice to have: In‑depth understanding of the latest deep learning network architectures for computer vision and image processing
Nice to have: Experience with any of the following: object detection and target tracking, simultaneous localisation and mapping (SLAM), 3D reconstruction, camera calibration, behaviour analysis, foundation models, vision language models, large multi‑modal models, automated video surveillance and related fields
Build tooling to understand how data payloads are scheduled between processes and what information they contain.
Build code generation features to improve internal and customer workflows.
Create and/or extend various actor models such as pedestrians, cars, bicycles, or drones.
Ensure appropriate test coverage exists for existing and new features we develop.
Work with customers to understand their needs and work with their engineers to ensure their teams can easily ingest the data they produce on our platform.
Requirements
Engineering degree in a related field (e.g. computer science, mechanical engineering, physics, math, robotics, etc.) or equivalent working experience.
Entry-level Software Test Engineer role joining the DevDiv .NET testing team, supporting quality and reliability of .NET, Common Language Runtime (CLR), SDK, and Visual Studio technologies.
Responsibilities
Perform manual and automated testing for .NET and CLR related components
Execute functional, integration, regression, and end-to-end test scenarios
Validate .NET runtime and SDK behavior across different builds, versions, and environments
Analyze test failures and investigate potential software defects
Reproduce issues and clearly document test results, error information, logs, and reproduction steps
Requirements
Bachelor's degree or Diploma in Computer Science, Software Engineering, Information Technology, or a related technical field
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