Computer Vision Integration & Validation Intern Job at Airbus (Toulouse Area)

Technical Product Owner

The Product Owner – Fabrication Platform is responsible for shaping and driving ...

Location

Romania , Bucuresti

Salary:

Not provided

GRAITEC GROUP

Expiration Date

Until further notice

Requirements

5+ years of experience as a Product Owner, Product Specialist, Consultant / Business Analyst in ERP-driven or manufacturing environments
Proven experience working with ERP systems and understanding cross-module dependencies (planning, production, inventory, costing)
Hands-on experience translating operational workflows into digital system requirements
Demonstrated experience managing product backlogs and working within Agile teams
Experience balancing global platform needs with local operational realities
Strong track record of delivering scalable solutions rather than one-off customizations
Experience in fabrication, manufacturing, or industrial production environments
Exposure to digital transformation initiatives within operations or supply chain
Experience integrating ERP systems with operational or engineering systems
Experience working in multi-site or international operational environments

Job Responsibility

Own and communicate the product vision for the fabrication platform with a platform-first mindset
Define and maintain a prioritized product backlog aligned with scalability and long-term maintainability
Clearly distinguish between generic platform capabilities and plant-specific logic
Drive configurability over customization
Make principled prioritization decisions, including saying no to local optimizations that undermine platform integrity
Ensure strong alignment between ERP core modules (planning, production, inventory, costing) and fabrication workflows
Assess cross-module impacts of product changes across ERP and operational systems
Translate fabrication processes into scalable digital workflows
Partner with ERP, engineering, and operations teams to design integrated, coherent solutions
Gather, structure, and challenge business requirements from multiple plants and stakeholders

Fulltime

Edge Ai Product Owner – Medical Devices & Ai

We are seeking a visionary and technically adept Edge AI Product Owner to lead t...

Location

United States , California City

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Engineering, Computer Science, Biomedical Engineering, or related field
5–8 years of experience in product management or ownership, preferably in medical devices or healthcare technology
Strong understanding of Edge AI systems, including device architecture, model deployment, and performance optimization
Experience with computer vision and video-based AI technologies
Familiarity with SaMD regulations, ISO 13485, IEC 62304, and related standards
Proven track record in managing regulated software products through the full product lifecycle
Excellent verbal and written communication skills
Experience with agile methodologies and product management tools

Job Responsibility

Define and drive the product vision, roadmap, and strategy for Edge AI-enabled medical devices
Collaborate with cross-functional teams including engineering, clinical, regulatory, and quality to ensure product alignment and compliance
Oversee the development and integration of computer vision and video-based AI algorithms into edge devices
Ensure adherence to SaMD classification, regulatory frameworks (e.g., FDA, MDR), and quality processes
Lead verification and validation planning and execution for Edge AI products
Gather and prioritize customer and stakeholder requirements to inform product decisions
Communicate product goals, progress, and risks effectively to internal and external stakeholders
Support test data validation and performance evaluation of AI models deployed on edge devices

Fulltime

Master Thesis Automated Generative AI Evaluation

We, the BMW Group, focus on benchmarking Generative AI and applying the latest a...

Location

Germany , Munich

Salary:

Not provided

BMW

Expiration Date

Until further notice

Requirements

Studies in Computer Science, Mathematics, Physics, or a related discipline
Strong programming skills in Python 3 and ideally experience with machine learning frameworks such as TensorFlow or PyTorch
Hands-on experience or strong interest in evaluating AI systems, including designing evaluation frameworks, performance measurement, error analysis, and bias detection
Interest in developing automated and scalable applications for in-car systems
Motivation to work on application-oriented research problems
Business-fluent English
German language skills are a plus

Job Responsibility

Support the development of intelligent and innovative evaluation systems for our in-car LLM and VLM-based systems using generative AI
Help design test scenarios, performance metrics, and validation protocols to assess natural language understanding, multi-agent coordination, Model Context Protocol (MCP) principles, and multimodal context inputs including audio and vision
Your ideas will become an integral part of our product and process portfolios
Contribute to close collaboration with suppliers and internal teams to exchange insights and participate in technical discussions driving innovation in automotive AI

What we offer

Comprehensive mentoring & onboarding
Personal & professional development
Flexible working hours
Mobile work
Attractive & fair compensation
Student apartments (subject to availability & only at the Munich location)

Fulltime

Senior Principal AI Infrastructure Architect

The Senior Principal AI Infrastructure Architect is a highly skilled and advance...

Location

Italy , Milano

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Significant experience in a consulting, presales or architecture role within a large-scale (preferably multi-national) technology services environment, with a track record of leading AI infrastructure pursuits
Demonstrable experience designing and delivering production AI platforms — from single multi-GPU servers through to multi-rack training clusters and inference factories
Strong working knowledge of the AI hardware vendor landscape (NVIDIA, AMD, Intel, Dell, HPE, Lenovo, Supermicro, Cisco, Pure, VAST, WEKA, DDN, NetApp) and how to position partner ecosystems competitively
Proven ability to translate AI workload requirements (model size, parameter count, sequence length, throughput SLOs, latency targets) into accurate hardware bills of materials and sizing justifications
Significant client engagement and consulting experience, including client needs assessment, change management and the ability to identify whitespace for follow-on AI infrastructure and managed-services work
Significant business development and presales experience on infrastructure-led deals, ideally including sovereign AI, AI Factory or regulated-industry GenAI programmes
Strong understanding of how AI infrastructure integrates with business processes, applications, data platforms and existing enterprise architecture
Bachelor's degree or equivalent in Information Technology, Engineering, Computer Science or a related field
Deep, hands-on knowledge of AI hardware: GPU and accelerator portfolios (NVIDIA Hopper / Blackwell, AMD MI300/MI325, Intel Gaudi 3, emerging custom silicon), host CPU platforms (Intel Xeon, AMD EPYC, NVIDIA Grace), system topologies (HGX, DGX, MGX, OAM) and how each choice maps to specific AI workloads
Strong understanding of AI-class storage: parallel filesystems, all-flash NVMe platforms, S3-class object stores, checkpoint and dataset pipelines and the I/O patterns of large-scale training and inference (VAST, WEKA, DDN EXAScaler, Pure FlashBlade, NetApp ONTAP AI, Dell PowerScale)

Job Responsibility

Lead the end-to-end design of large, complex AI infrastructure solutions — covering accelerated compute (NVIDIA H100/H200/B200 and GB200 NVL72, AMD Instinct MI300X/MI325X, Intel Gaudi 3), CPU host platforms (Intel Xeon, AMD EPYC, NVIDIA Grace), high-throughput storage tiers and lossless AI fabric — for enterprise, sovereign AI and AI Factory clients
Architect reference designs built on NVIDIA DGX/HGX SuperPOD, Dell AI Factory with NVIDIA, Cisco Nexus HyperFabric AI, HPE / Lenovo / Supermicro accelerated compute and equivalent platforms, balancing single-node performance with cluster-scale efficiency
Size and validate GPU clusters against real workloads — foundation-model pre-training, distributed fine-tuning, RAG, real-time and batch inference — using the right combination of NVLink/NVSwitch domains, InfiniBand NDR/XDR or Ultra Ethernet / NVIDIA Spectrum-X fabrics and tiered NVMe and parallel storage (VAST, WEKA, DDN, Pure FlashBlade, NetApp ONTAP AI, Dell PowerScale)
Define the supporting datacenter design: high-density power (50–140 kW/rack), direct-to-chip and rear-door liquid cooling, structured cabling for AI fabrics and modular deployment models across on-prem, colo and sovereign-cloud footprints
Work closely with the sales team to drive the presales process for AI infrastructure pursuits — client discovery, technical workshops, proposal writing, executive presentations and bid defence
Translate clients' AI ambitions and business outcomes into a hardware and platform roadmap, positioning NTT DATA's end-to-end portfolio — silicon, systems, storage, fabric, MLOps stack and managed services — to land service-led AI solutions
Lead integration of compute, storage, networking, the AI software stack (CUDA, ROCm, Triton, NIM, NVIDIA AI Enterprise, Run:ai, Slurm, Kubernetes / Kubeflow) and managed-service operating models across multiple domains, delivery units and geographies
Build business cases, TCO and unit-economics models (cost per token, cost per training run, GPU-hour economics) and end-to-end transition roadmaps for cloud-to-private AI migrations and sovereign AI deployments
Define architectural principles for AI infrastructure — accelerator utilisation, data gravity, multi-tenancy, model lifecycle, energy efficiency — and apply them to influence architectural outcomes and governance
Develop As-Is, Vision, FMO and To-Be AI platform architectures, identify gaps and develop transition roadmaps

Fulltime

AI Product Owner

In this role you will be responsible for defining, prioritizing, and delivering ...

Location

United Kingdom , Birmingham

Salary:

Not provided

Social Value Portal Ltd

Expiration Date

Until further notice

Requirements

Stakeholder influence, structured problem-solving, commercial acumen, clear communication, and change leadership
Domain Expertise: Strong understanding of the specialist area (Ops/Reg, Dist/Marketing, or Policy/Claims) and adjacent functions (pricing, risk, finance)
Detailed knowledge of business and technology issues / opportunities related to insurance, data and AI
Strong understanding of data management principles, data governance, and analytics
Experience in Agile product development and backlog management
Degree in Data Science, Computer Science, Business Analytics, or related field
advanced degree desirable
Demonstrable experience of AI product delivery / ownership within insurance or financial services
Strong understanding of AI/ML concepts, model lifecycle, and MLOps
Knowledge of ethical AI principles and regulatory frameworks

Job Responsibility

Define and communicate the vision, goals, and roadmap for AI products
Align AI initiatives with business strategy and regulatory compliance
Work with Head of AI to establish AI CoE and drive platform / product capability in collaboration with federated analytics teams in Finance, Underwriting, Actuarial and Claims
Own and prioritize the AI product backlog, balancing short-term delivery with long-term strategic goals
Translate business problems into AI use cases with clear actionable user stories and acceptance criteria
Ensure delivery practices (Agile/Scrum/Kanban), NFRs (performance, governance, resilience, privacy-by-design), and control frameworks (quality, metadata, lineage) are embedded
Drive delivery of AI products through agile ceremonies (sprint planning, reviews, retrospectives)
Monitor KPIs and value metrics to ensure AI products deliver measurable outcomes
Maintain product-level scorecards and dashboards tracking usage, quality, SLA performance, and business impact
Manage seamless AI product integration into Value streams and Change initiatives

What we offer

Attractive base compensation and discretionary performance related annual bonus
Private medical insurance coverage for both you and your dependents
Company paid life assurance and long term disability insurance
Pension with 10% employer contribution, plus a further matched contribution up to 2.5%
25 days of annual leave (prorated for 1st calendar year of employment), plus public holidays, with the ability to flex the religious bank holidays to suit your religious beliefs, subject to approval. Additional annual leave purchase is also available up to a maximum of five additional days per year
Up to 2.5 days matched paid leave for volunteering at a charity of your choice and 5 days paid leave to provide or arrange care for a dependent with a long term care need annually
Up to £550 reimbursement towards home office setup
Free in-office lunch and monthly lifestyle allowance
Monthly travel allowance or annual season ticket
The opportunity to save for, and purchase, shares of Beazley stock

Fulltime

Senior Product Manager

Apex is seeking a Senior Product Manager to lead the Client Platforms and Config...

Location

United Kingdom , Belfast

Salary:

Not provided

Apex Clearing

Expiration Date

Until further notice

Requirements

Bachelor's degree in Business, Computer Science, Engineering, or related field
8+ years of product management experience, with 3+ years building or operating platform configuration systems, client provisioning tools, multi-tenant SaaS platforms, or enterprise administration and setup products in fintech, brokerage/custody, or wealth management
Demonstrated success shipping API-first, event-driven, or microservices-based products at scale

Job Responsibility

Define and own the Client Platforms and Configuration vision and multi-quarter roadmap within Ascend
Lead the strategic initiative to design and deliver a firm-level configuration layer that supports international expansion, multi-jurisdiction requirements, and increasingly complex client structures
Prioritize initiatives using data-driven insights, client feedback, and cross-team dependencies to maximize platform scalability and onboarding efficiency
Build business cases with clear outcomes, investment, and ROI
Serve as the central product partner for domain product teams
Establish standards, patterns, and self-service capabilities for configuration
Define and maintain the configuration data model
Facilitate cross-team alignment on configuration schema, validation rules, and dependency management
Define RESTful APIs and event models for client configuration, provisioning, entitlements, and firm management
Partner with engineering on data integrity, observability, and resiliency

What we offer

Market-leading salary with an annual bonus
28 days of annual leave plus 10 Northern Ireland national holidays
Training and development budget
Pension matched up to 7%
Private health insurance for medical, dental, and optical care
Life insurance
Flexible working hours
Parental leave
Modern city center office
Hybrid work schedule

Fulltime

Data Product Owner – Customer

In this role you will be responsible for maximizing the value of data products w...

Location

United Kingdom , Birmingham

Salary:

Not provided

Social Value Portal Ltd

Expiration Date

Until further notice

Requirements

Stakeholder influence, structured problem-solving, commercial acumen, clear communication, and change leadership
Domain Expertise: Strong understanding of the specialist area (Ops/Reg, Dist/Marketing, or Policy/Claims) and adjacent functions (pricing, risk, finance)
Detailed knowledge of business and technology issues / opportunities related to insurance, data and AI
Strong understanding of data management principles, data governance, and analytics
Experience in Agile product development and backlog management
Degree in Data Science, Computer Science, Business Analytics, or related field
Demonstrable experience of data product ownership within insurance or financial services
Experience applying AI & automation to enhance and support data product strategy and delivery
Familiarity with insurance industry data (policy, customer, regulatory) preferred
Ability to translate business needs into technical requirements and vice versa

Job Responsibility

Own customer data products
enable segmentation, propensity scoring, journey analytics, and attribution
Drive initiatives to improve customer data quality, accessibility, and usability across the organization
Enable advanced analytics and personalization capabilities through enriched customer datasets
Partner with Marketing and Customer Experience teams to unlock insights for retention and acquisition strategies
Define and communicate the vision, goals, and roadmap for the data product within the assigned domain
Partner with Product Manager to translate strategy into prioritized backlogs, acceptance criteria, and release plans
Own and prioritize the product backlog, balancing short-term delivery with long-term strategic goals
Translate business needs into clear, actionable user stories and acceptance criteria
Collaborate with business units to identify unmet needs and translate them into innovative data product concepts

What we offer

Attractive base compensation and discretionary performance related annual bonus
Private medical insurance coverage for both you and your dependents
Company paid life assurance and long term disability insurance
Pension with 10% employer contribution, plus a further matched contribution up to 2.5%
25 days of annual leave (prorated for 1st calendar year of employment), plus public holidays, with the ability to flex the religious bank holidays
Additional annual leave purchase up to a maximum of five additional days per year
Up to 2.5 days matched paid leave for volunteering
5 days paid leave to provide or arrange care for a dependent with a long term care need annually
Up to £550 reimbursement towards home office setup
Free in-office lunch and monthly lifestyle allowance

Fulltime

Ai Product Owner

Beazley’s data reflects the complexity of our business. We are committed to buil...

Location

United Kingdom , Birmingham

Salary:

Not provided

Social Value Portal Ltd

Expiration Date

Until further notice

Requirements

Stakeholder influence, structured problem-solving, commercial acumen, clear communication, and change leadership
Domain Expertise: Strong understanding of the specialist area (Ops/Reg, Dist/Marketing, or Policy/Claims) and adjacent functions (pricing, risk, finance)
Detailed knowledge of business and technology issues / opportunities related to insurance, data and AI
Strong understanding of data management principles, data governance, and analytics
Experience in Agile product development and backlog management
Degree in Data Science, Computer Science, Business Analytics, or related field
advanced degree desirable
Demonstrable experience of AI product delivery / ownership within insurance or financial services
Strong understanding of AI/ML concepts, model lifecycle, and MLOps
Knowledge of ethical AI principles and regulatory frameworks

Job Responsibility

Define and communicate the vision, goals, and roadmap for AI products
Align AI initiatives with business strategy and regulatory compliance
Work with Head of AI to establish AI CoE and drive platform / product capability in collaboration with federated analytics teams in Finance, Underwriting, Actuarial and Claims
Own and prioritize the AI product backlog, balancing short-term delivery with long-term strategic goals
Translate business problems into AI use cases with clear actionable user stories and acceptance criteria
Ensure delivery practices (Agile/Scrum/Kanban), NFRs (performance, governance, resilience, privacy-by-design), and control frameworks (quality, metadata, lineage) are embedded
Drive delivery of AI products through agile ceremonies (sprint planning, reviews, retrospectives)
Monitor KPIs and value metrics to ensure AI products deliver measurable outcomes (e.g., loss ratio improvement, leakage reduction, NB premium, campaign ROI uplift, cycle-time reduction)
Maintain product-level scorecards and dashboards tracking usage, quality, SLA performance, and business impact
Manage seamless AI product integration into Value streams (martech/Claims, etc) and Change initiatives (Modernisation, Underwriting Transformation, etc.)

What we offer

Attractive base compensation and discretionary performance related annual bonus
Private medical insurance coverage for both you and your dependents
Company paid life assurance and long term disability insurance
Pension with 10% employer contribution, plus a further matched contribution up to 2.5%
25 days of annual leave (prorated for 1st calendar year of employment), plus public holidays, with the ability to flex the religious bank holidays to suit your religious beliefs, subject to approval. Additional annual leave purchase is also available up to a maximum of five additional days per year
Up to 2.5 days matched paid leave for volunteering at a charity of your choice and 5 days paid leave to provide or arrange care for a dependent with a long term care need annually
Up to £550 reimbursement towards home office setup
Free in-office lunch and monthly lifestyle allowance
Monthly travel allowance or annual season ticket
The opportunity to save for, and purchase, shares of Beazley stock

Fulltime

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Computer Vision Integration & Validation Intern

Job Description

Job Responsibility

Requirements

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