Vantive is a vital organ therapy company on a mission to extend lives and expand possibilities for patients and care teams everywhere. For 70 years, our team has driven meaningful innovations in kidney care. As we build on our legacy, we are deepening our commitment to elevating the dialysis experience through digital solutions and advanced services, while looking beyond kidney care and investing in transforming vital organ therapies. Greater flexibility and efficiency in therapy administration for care teams, and longer, fuller lives for patients— that is what Vantive aspires to deliver.

We believe Vantive will not only build our leadership in the kidney care space, it will also offer meaningful work to those who join us. At Vantive, you will become part of a community of people who are focused, courageous and don’t settle for the mediocre. Each of us is driven to help improve patients’ lives worldwide. Join us in advancing our mission to extend lives and expand possibilities.

The AI Implementation Engineering Manager role is a hands-on engineering leadership role, responsible for driving multiple global projects that advance our business objectives through the strategic implementation of AI-based technical systems. You will lead the design, integration, and troubleshooting of electrical and mechanical systems for industrial automation, with a strong emphasis on leveraging artificial intelligence to optimize manufacturing processes. Your work will include developing and deploying machine learning models, automating quality control, and enabling predictive maintenance, ensuring our operations remain at the forefront of innovation.

In addition, you will play a key role in a global IT system migration project, supporting the transition of legacy platforms. This will involve coordinating system testing, validation, and troubleshooting across multiple regions, collaborating with cross-functional teams to ensure seamless integration and minimal disruption to business operations.

As a technical leader, you will collaborate across teams to champion AI adoption, deliver measurable improvements in efficiency and reliability, and support the seamless integration of advanced digital solutions into our manufacturing environment.

Duties and responsibilities

Project & Technical Leadership

• Expedite, manage, and coordinate interrelated systems activities across functions, within the constraints of human and financial resources and changing priorities.
• Participate in identifying and planning tasks, activities, and resourcing needs related to AI projects within global manufacturing network.
• Successfully influences stakeholders and cross-functional team members within projects.
• Initiates, develops and leads technical feasibility analysis for products or subsystems; translates customer/user needs to project needs.
• Proposes and drives solutions to complex technical problems that are ambiguous and diverse in scope.
• Drives adherence to FDA, ISO and IEC design control procedures, regulations and standards.

AI, Software & Systems Integration

• Collaborate with development and operations teams to ensure seamless application deployments and system reliability.
• Leverage AI to eliminate time spent on common tasks and boilerplate code.
• Drive efficiency and standardization in the technologies, tools and techniques used by the team.
• Collaborate with key stakeholders, including plants, outside vendors and global teams to develop aligned goals and shared commitments.
• Drives technical integration by collaborating with cross functional teams to establish connectivity between other products and third-party software(s).
• Implements business requirements by defining application interfaces based on needs identified and communicates specification with the cross functional team and integration partners.
• Works with a cross-functional team to resolve conflicts and drives decision making by working closely with plants, and global teams.
• Collaborate with IT and operation teams for successful deployment and monitoring of AI applications.
• Participate in software development activities for application design, services, database design, platform upgrades etc.
• Coordinates and drives execution of integration activities with distributed global manufacturing network.

Hardware Management & Logistics

• Assemble, configure, and test edge devices for deployment (Jetson devices, servers, cameras, sensors, etc.).

• Build relationships with hardware partners and systems integrators to streamline sourcing and coordinate field support.
• Lead on-site device installations, hardware set-up, and system validation.
• Perform physical mounting, sensor alignment, cabling, and PoE configuration.
• Ensure proper connectivity (RTSP, VPN, SSH) and integration with software.

System Configuration & Support

• Manage network setup on Linux-based edge devices (interface binding, static IPs, DHCP config).

Education and experience:

• Bachelors in computer science, Software Engineering or similar and 8 + years of product development experience.

• Experience: 3–5 years professional experience in Python;

• 2+ years in Machine Learning and production deployment of ML models.

• Strong hands-on skills with PyTorch, TensorRT, Python, and proficient in JavaScript

• Experience integrating with third party solutions

• Familiarity with networking, DNS and storage concepts.

• Strong Shell and Python scripting skills.

• Experience with source control tools like Git or Bitbucket.

• Familiarity with monitoring tools and logging frameworks.

• Passionate about continuous learning and leveraging modern technologies.

• Must be willing to work on a distributed team.

• A solution mindset, and enthusiastic, strong, technical generalist

• Familiarity with common data processing and computer vision frameworks (e.g., OpenCV, TensorFlow, PyTorch)

• Proven project management experience as it relates to delivery timelines and commitments

• Strong knowledge of APIs

• Familiar with NoSQL and SQL databases, Serverless

• Familiar with object detection, classification, segmentation, YOLO, VLMs, and SAM

• Hands-on hardware experience: You’ve worked with embedded devices (e.g., NVIDIA Jetson), industrial cameras, or similar hardware in field deployments

• Computer vision experience: Familiarity with computer vision inference pipelines

• Self-starter: You operate with autonomy and know when to escalate versus when to fix it yourself

• Problem-solving mindset: You’re resourceful and calm when debugging issues on-site under time constraints

• Python and Bash scripting: Able to write scripts to automate routine tasks or customize device behavior

• Linux and Networking Proficiency: Comfortable with system-level debugging, interface configuration, and tools like nmcli, ifconfig, systemd, and docker

• Experience with PoE cameras (e.g., Basler, Lucid Vision) or IP camera configuration

What Vantive can offer to you:

• A permanent contract with a stable and secure work environment
• A comprehensive benefits package, including private medical insurance, company pension scheme, and annual bonus scheme
• A collaborative and dynamic work environment
• Access to state-of-the-art equipment and technology
• Recognition and reward for outstanding performance

Reasonable Accommodation

Vantive is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Form Link

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