Deployment Machine Builder Job at JR Automation (Holland)

Deployment Machine Builder

The Opportunity: JR Automation, a Hitachi Group Company, is driven to deliver cu...

Location

United States , Holland

Salary:

Not provided

JR Automation

Expiration Date

Until further notice

Requirements

Basic computer skills
Intermediate proficiency reading part and assembly drawings
Proven mechanical aptitude with a focus on safety and quality
Proven ability to accept direction and complete tasks as assigned while working as part of a team or individually
Ability to maintain a steady pace while bending, kneeling, climbing ladders, and climbing onto and beneath machines
Ability to lift, up to 50 lbs. as required
Ability to obtain a Hi-Lo (Forklift), Aerial Platform and Overhead Crane license, along with Lockout Tagout training, while employed at JR
Ability to provide own hand tools and toolbox suitable for the job (a list of those recommended will be provided)
Travel at least 70% of the time may be required

Job Responsibility

Assembly of equipment per mechanical drawings
Ensure that changes and problems get documented and communicated
Carry out assigned tasks with minimum direct supervision
Execute ISO/Quality standards
Communicate with the Machine Build Lead on open issues and progress during the build process
Successful execution of assigned programs as they relate to cost, quality, timing and customer satisfaction
Maintain cleanliness and organization of assigned work area
Assist with preparing material for secondary processes (material finishing, heat treat, and deburring)
Effectively and safely operate: Mill, Lathe, Drill Press, Surface Grinder, Saws, Shears

What we offer

Competitive wages
medical benefits starting your first day
paid parental leave
opportunity to work on customized, 1-of-1 automation projects
collaborative, engineering-driven environment
career growth and skill development opportunities
a role where craftsmanship and quality truly matter
work with cutting edge and innovative technologies

Fulltime

Ai Engineer Ii & Senior Ai Engineer - Getting Customers Ready For Ai

Security represents the most critical priorities for our customers in a world aw...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Must pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Design, build, and improve AI-powered solutions, including machine learning models, LLM-based applications, RAG systems, and agentic workflows that solve customer and business challenges
Develop and operate scalable data pipelines, ETL processes, training datasets, and AI infrastructure to support model development, deployment, and lifecycle management
Deploy, monitor, and optimize AI systems using MLOps practices, leveraging telemetry and feedback to improve performance, reliability, security, and scalability
Transform large-scale, multi-source data into contextual intelligence, automation, and decision-support capabilities that drive customer and business outcomes
Build and integrate AI capabilities into applications, services, APIs, and platforms to deliver end-to-end customer experiences
Contribute to AI readiness initiatives through frameworks, metrics, telemetry, and solutions that help customers securely adopt and operationalize AI technologies
Demonstrate a builder mindset by rapidly prototyping, experimenting, and iterating on AI solutions while navigating ambiguity and evolving requirements
Partner across engineering, data science, product, and customer teams to translate complex problems into practical, AI-driven solutions
Write maintainable, well-tested code and contribute to engineering excellence through documentation, operational rigor, governance, and adherence to security, compliance, and Responsible AI practices
Embody our culture and values

Fulltime

New

Staff Machine Learning Engineer

We’re building a world of health around every individual — shaping a more connec...

Location

United States , Work at Home

Salary:

106605.00 - 260590.00 USD / Year

CVS Health

Expiration Date

September 28, 2026

Requirements

8+ years in large-scale software development
5+ years solution architecture or system design experience
5+ years building large-scale microservices/APIs using Node.js
3+ years hands-on experience with GCP and AWS (serverless, event-driven, AI/ML, CI/CD)
AWS Bedrock (any combination of models, agents, knowledge bases, guardrails, tuning, evaluation) or GCP Vertex AI (Model Garden, Extensions/Agents, Vector Search, Pipelines, Tuning) or similar technologies
Strong communication and leadership skills
Strong experience with Python for AI/ML engineering
Production experience with Agentic AI frameworks
Production experience with RAG architectures and vector databases
Production experience with Serverless and event-driven designs

Job Responsibility

Drives the development and implementation of advanced machine learning models and algorithms to solve complex healthcare problems, leveraging techniques such as predictive modeling, deep learning, and natural language processing
Collaborates with multiple departments, including data scientists, clinicians, and Information Technology (IT) professionals, to understand business requirements, define machine learning projects, and prioritize initiatives based on strategic objectives
Interfaces with stakeholders to define performance metrics and evaluation methodologies for machine learning models, contributing to rigorous testing, validation, and performance monitoring of models to ensure accuracy and reliability
Designs and implements scalable and efficient machine learning systems, including data pipelines, preprocessing, feature engineering, and model training, ensuring the quality and integrity of healthcare data used for analysis
Advises on the optimization and improvement of data pipelines, model training processes, and infrastructure to enhance efficiency, scalability, and performance of machine learning solutions
Consults on and presents technical findings, insights, and recommendations to both technical and non-technical stakeholders, contributing to the dissemination and application of machine learning insights in the healthcare industry
Ensures compliance with data privacy regulations, ethical guidelines, and industry standards in machine learning engineering, supporting the development of protocols and practices for model interpretability, fairness, and transparency
Manages team performance through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional services and engagement, motivation, and team development
Stays up-to-date with the latest advancements in machine learning and related technologies, continuously exploring and evaluating new algorithms and methodologies to enhance machine learning capabilities in healthcare applications
Design, build, and deploy production-grade LLM and GenAI applications using the full breadth of AWS Bedrock and GCP Vertex AI capabilities (models, tuning, pipelines, vector search, guardrails, evaluation)

What we offer

medical, dental, and vision coverage
paid time off
retirement savings options
wellness programs
bonus, commission or short-term incentive program
equity award program

Fulltime

Staff Technical Product Manager

Scale has been the leading AI data foundry, helping fuel the most exciting advan...

Location

United Kingdom; United States , London; New York; San Francisco

Salary:

Not provided

Scale

Expiration Date

Until further notice

Requirements

Builder mentality: you're energized by going from zero to one, not by managing from a distance
8+ years of experience in software engineering, ML engineering, or a deeply technical product role where you were hands-on with what shipped
Technical fluency: software engineering or ML background (master’s degree in computer science or equivalent experience)
Deep intellectual curiosity about AI systems — you read papers, dig into technical details, and have strong opinions about how things should be built
Enough customer instinct to know what matters, but your default mode is building, not selling
Bias for action and comfort wearing multiple hats in fast-moving environments
Willingness to travel to allied partner nations as needed

Job Responsibility

Own the product roadmap and execution for one or more product areas within Global Defense, driving what gets built and how it ships
Be hands-on: write specs, prototype solutions, dig into technical architecture with engineers, and make product calls grounded in real technical understanding
Design and ship AI-powered products and tooling for defense and national security workflows, working side-by-side with engineering and ML teams
Use customer context to inform what you build — understand allied defense workflows deeply enough to make opinionated product decisions, not just relay requirements
Navigate the unique constraints of defense product development across allied nations — classification environments, accreditation processes, air-gapped deployments — or be ready to learn these fast
Operate like a founding team member: wear multiple hats, move fast, unblock yourself, and drive outcomes across engineering, operations, and go-to-market

Fulltime

Technical Solution Manager – Procure to Pay (P2P)

The P2P organization is undergoing a critical digital transformation to enhance ...

Location

United States , Dallas

Salary:

126000.00 - 140000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

5+ years of experience in technical solution design, process automation, or enterprise architecture, specifically in a Finance or Procure-to-Pay domain
Deep technical understanding and proven experience implementing solutions using citizen developer/low-code/no-code platforms, such as Microsoft Power Platform (Power Apps, Power Automate) and/or Google's AppSheet, Apps Script, etc.
Demonstrated technical savviness and +5 years of experience with edge technologies, particularly the practical application of Generative AI (GenAI) or Machine Learning (ML) for process transformation
Strong background in technical governance and implementing control frameworks to manage risk for user-developed applications
Excellent communication skills, capable of translating technical architecture and risks into clear narratives for both technical and non-technical stakeholders

Job Responsibility

Lead Digital Transformation: Define the technical roadmap and architecture for P2P digital transformation initiatives, focusing on leveraging low-code/no-code platforms and GenAI for substantial process automation
Citizen Developer Platform Ownership: Drive the strategy, adoption, and governance of the citizen developer tech stack (e.g., Microsoft Power Apps, Power Automate, Google AppSheet, and Google Apps Script) to create scalable solutions and integrations
GenAI Implementation: Identify, prioritize, and deploy high-impact use cases for Generative AI, including leveraging tools like Google Vertex AI Agent Builder, to accelerate workflow automation and decision-making within P2P
Automation and Optimization: Partner with P2P Global Process Owners to analyze end-to-end P2P workflows to uncover inefficiencies and translate complex business problems into structured technical solutions for automation
Technical Governance: own the technical governance for all citizen-developed solutions (often referred to as 'shadow IT solutions') to ensure they meet strict requirements for security, reliability, and compliance
Cross-Functional Partnership: Collaborate closely with Global Process Owners (GPOs), IT, Finance AI-COE, and other FinOps teams to ensure technical solutions are aligned with process standards, business needs, and enterprise-wide governance
Technical Coaching: Champion technical literacy and mentor stakeholders within the P2P GPO team on best practices for solution design and technical governance

What we offer

Bonus program
Equity award
401(k) plan

Fulltime

Senior Applied Scientist

As a Senior Applied Scientist, you will build and ship the AI/ML that powers the...

Location

France , Paris

Salary:

Not provided

Bsport

Expiration Date

Until further notice

Requirements

4+ years of experience building and shipping machine learning in production, including models that reached a real product and moved meaningful metrics
You think of yourself as a builder first, writing production-grade code and taking responsibility for getting models live rather than leaving them in a notebook
Genuine depth in modern machine learning, recommendation and personalization systems, embeddings, and forecasting
Fluent in Python and worked hands-on on ML solutions
Track record of taking work developing solutions, from an open problem to a validated solution running in production
Communicates with clarity and moves comfortably between technical peers and product stakeholders

Job Responsibility

Take end-to-end ownership of product-facing models, from problem definition and experimentation through to a deployed and dependable solution
Develop the AI&ML capabilities users experience directly, spanning personalisation, recommendations, LLM-powered and generative features, embeddings, and forecasting
See your work through to production rather than handing it over, partnering with Engineering on questions of deployment, latency, cost, and ongoing monitoring
Establish a clear definition of success for each initiative, designing the metrics and evaluation that demonstrate genuine product impact
Contribute to the technical direction of applied AI&ML at bsport
Support the development of fellow scientists and engineers, leading through the example of the work you deliver

What we offer

Attractive compensation package
Competitive salary packages based on your experience and role
Hybrid model with 3 days per week in the office
Up to 15 days of remote work from abroad each year
Specially discounted HelloCSE membership
Multicultural colleagues, after-work events, team-building & more

Fulltime

Applied Research Scientist / Engineer

Luma's mission is to build multimodal AI to expand human imagination and capabil...

Location

United States;United Kingdom , New York;San Francisco Bay Area;London

Salary:

200000.00 - 450000.00 USD / Year

Luma AI

Expiration Date

Until further notice

Requirements

Product-Obsessed Researcher/Engineer: You treat end users and partners as collaborators and enjoy solving specific “last mile” problems—not just optimizing public metrics.
ML Expert: Strong ML fundamentals with deep experience in visual generative models (diffusion/transformers or related architectures). Ideal candidates also have a deep understanding of at least one: fine-tuning, personalization, domain adaptation, data curation, targeted distillation, interpretability, or human-feedback-driven refinement.
Hands-On Builder: Strong Python and deep learning engineering skills (ideally PyTorch), comfortable moving between research prototypes and production systems.

Job Responsibility

Work as a fullstack applied researcher across modeling, data, systems, and evaluation to adapt and deploy models to production
Leverage a toolkit spanning SFT, RL, personalization, distillation, control adapters, and more, to develop and maintain model variants purpose-built for user environments and creative partners
Architect the data engine for rapid adaptation, leveraging proprietary, vertical-specific datasets to create specialized finetunes and improve future training recipes
Define and drive end-user quality – setting success metrics, building user-aligned evaluations, and iterating on the model/data/evals loop to meet strict fidelity and reliability targets in specific enterprise verticals
Partner closely with Product, Research, and Design to translate creative intent and user feedback into model behavior, intuitive controls, and production-ready capabilities for users and partners

Fulltime

Power Platform Developer

Location

Canada , Calgary

Salary:

Not provided

Randstad

Expiration Date

July 20, 2026

Requirements

5+ years of hands-on experience building Power Platform solutions
Experience with Power BI, Copilot Studio, or AI Builder
Solid understanding of environment management, solution packaging, deployment pipelines, and Center of Excellence (CoE) best practices
Familiarity with custom connectors, expressions, and advanced Power Automate logic
Experience working with SharePoint, SQL, and other Microsoft 365 tools
Ability to understand business processes and translate them into scalable solutions
Strong communication skills and experience in client-facing or consulting environments
Exposure to Agile/Scrum methodologies
experience with Azure DevOps is a plus
Experience involving AI, machine learning, or natural language processing

Job Responsibility

Collaborate with stakeholders to understand business processes and gather functional requirements
Translate business needs into clear, actionable low-code solutions using Power Platform tools
Communicate solution value, status, and trade-offs with both technical and non-technical audiences
Design, develop, and deploy Canvas and Model-Driven Power Apps
Automate workflows using Power Automate and integrate with Dataverse, SharePoint, and third-party systems
Ensure solution scalability, data integrity, and alignment with governance policies
Conduct testing, troubleshoot issues, and lead user acceptance activities
Work in agile teams to deliver features aligned with sprint goals and project timelines
Support Application Lifecycle Management (ALM) processes including solution packaging, version control, and environment management
Create technical documentation and provide training or support for end users

Fulltime

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Deployment Machine Builder

Job Description

Job Responsibility

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What we offer

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