Senior Cognitive AI / Machine Learning Engineer Job at Nondestructive & Visual Inspection

Senior AI Data Engineer

We are looking for a Senior AI Data Engineer to join an exciting project for our...

Location

Poland , Warsaw

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Data Science, Artificial Intelligence, or a related field
Several years of experience in AI and Machine Learning development, preferably in Customer Care solutions
Strong proficiency in Python and NLP frameworks
Hands-on experience with Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Bot Services)
Solid understanding of cloud architectures and microservices on Azure
Experience with CI/CD pipelines and MLOps
Excellent leadership and communication skills
Analytical mindset with strong problem-solving abilities
Polish and English at a minimum B2 level.

Job Responsibility

Lead the development and implementation of AI-powered features for a Customer Care platform
Design and deploy Machine Learning and NLP models to automate customer inquiries
Collaborate with DevOps and cloud architects to ensure a high-performance, scalable, and secure Azure-based architecture
Optimize AI models to enhance customer experience
Integrate Conversational AI, chatbots, and language models into the platform
Evaluate emerging technologies and best practices in Artificial Intelligence
Mentor and guide a team of AI/ML developers.

What we offer

Flexible working hours
Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities
A cafeteria system that allows employees to personalize benefits by choosing from a variety of options
Generous referral bonuses, offering up to PLN6,000 for referring specialists
Additional revenue sharing opportunities for initiating partnerships with new clients
Ongoing guidance from a dedicated Team Manager for each employee
Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs
Dedicated team-building budget for online and on-site team events
Opportunities to participate in charitable initiatives and local sports programs
A supportive and inclusive work culture with an emphasis on diversity and mutual respect.

Fulltime

Senior AI Engineer

We are seeking an experienced Senior Python Software Engineer (Senior AI Develop...

Location

Poland , Warsaw

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Data Science, Artificial Intelligence, or a related field, or equivalent practical experience
Several years of experience in AI and Machine Learning development, ideally within Customer Care solutions
Strong proficiency in Python and NLP frameworks
Hands-on experience with Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Bot Services)
Solid understanding of cloud architectures and microservices on Azure
Experience with CI/CD pipelines and MLOps
Analytical mindset and strong problem-solving capabilities
Polish & English speaker

Job Responsibility

Design, develop, and integrate AI/ML solutions, with a particular focus on Generative AI (GenAI), LLMs, and multi-modal (chat, voice) interfaces
Architect and deliver customer-facing AI agents that provide real-time, intelligent automation for support, marketing, or transactional use cases
Build and maintain multi-model pipelines for inference, fine-tuning, chunking, and embedding-based retrieval (RAG) systems
Deploy, monitor, and optimize AI models in production-grade environments using Kubernetes and Azure-native services
Integrate GenAI agents with cross-company APIs, backend services, and partner systems through MCP for dynamic tool use and data enrichment
Collaborate closely with DevOps engineers to implement scalable CI/CD pipelines, infrastructure-as-code, and secure AI workload automation
Evaluate and integrate open-source and proprietary LLMs, embeddings, and vector databases
Optimize prompt engineering strategies and implement orchestration tools (e.g., LangChain, MCP) to enable complex task execution
Build robust model evaluation frameworks, A/B testing environments, and experiment tracking for iterative development
Design privacy-first AI workflows that comply with GDPR, anonymization, and auditability (e.g., PII scrubbing, user consent)

What we offer

Flexible working hours
Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities
A cafeteria system that allows employees to personalize benefits by choosing from a variety of options
Generous referral bonuses, offering up to PLN6,000 for referring specialists
Additional revenue sharing opportunities for initiating partnerships with new clients
Ongoing guidance from a dedicated Team Manager for each employee
Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs
Dedicated team-building budget for online and on-site team events
Opportunities to participate in charitable initiatives and local sports programs
A supportive and inclusive work culture with an emphasis on diversity and mutual respect

Fulltime

Senior Cloud Data Architect

As a Senior Cloud Architect, your role will focus on supporting users, collabora...

Location

Spain , Barcelona

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Strong expertise in Azure cloud infrastructure, Data & AI technologies, and data platform management, with proficiency in Azure Synapse Analytics, Azure Machine Learning, Azure Data Lake, and Informatica Intelligent Data Management Cloud (IDMC)
Proven experience in modern Data Warehouse architectures (e.g., Lakehouse) and integrating machine learning models and AI capabilities using Azure services like Cognitive Services and Azure Bot Service for predictive analytics and automation
In-depth knowledge of data security and compliance practices using Azure AD, Azure Key Vault, and Informatica’s data governance tools, focusing on data privacy and regulatory standards
Expertise in optimizing resource usage, performance, and costs across Azure services and IDMC, leveraging tools like Azure Cost Management and Azure Monitor, and skilled in ETL/ELT tools and advanced SQL
Proficiency in data integration, machine learning, and generative AI from an architectural perspective, with hands-on experience in Python, SQL, Spark/Scala/PySpark, and container solutions like Docker and Kubernetes
Experience with CI/CD pipelines (e.g., GitHub Actions, Jenkins), microservices architectures, and APIs, with knowledge of architecture frameworks like TOGAF or Zachman, adept at managing multiple priorities in fast-paced environments, and excellent communication and presentation skills
Over 5 years of experience in cloud architecture focusing on Data & AI infrastructure, particularly in Azure, with expertise in building scalable, secure, and cost-effective solutions for data analytics and AI/ML environments.

Job Responsibility

Define and prioritize new functional and non-functional capabilities for the cloud-based data platform, ensuring alignment with business needs and Allianz's security, compliance, privacy, and architecture standards
Act as the platform SME for both potential and existing users, guiding them in the architecture of scalable, high-performance Data & AI solutions
Provide leadership and product guidance to engineering teams during the design, development, and implementation of new platform capabilities
Ensure all solutions meet defined quality standards and acceptance criteria
Work with stakeholders to co-create data solutions, optimizing business models and identifying opportunities for improved data usage
Lead the evaluation and selection of technologies and partners to implement data analytics use cases, focusing on proofs of concept and prototypes
Stay up to date with emerging trends in Data, Analytics, AI/ML, and cloud technologies
Leverage open-source technologies and cloud tools to drive innovation and cost-efficiency
Prepare materials for management briefings and public events
Represent the team in technical discussions, particularly regarding architecture and platform capabilities.

What we offer

Hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad
Rewarding performance through company bonus scheme, pension, employee shares program, and multiple employee discounts
Career development and digital learning programs to international career mobility
Flexible working, health and wellbeing offers (including healthcare and parental leave benefits)
Support for balancing family and career and helping employees return from career breaks with experience that nothing else can teach.

Fulltime

Senior AI Engineer

Design, architect, and implement scalable Generative AI frameworks and tools wit...

Location

Colombia

Salary:

Not provided

Parser Limited

Expiration Date

Until further notice

Requirements

Proven experience implementing solutions using Azure OpenAI Service (GPT 3.5/4) or similar LLMs
Strong understanding of prompt design, embeddings, fine-tuning, and RAG (Retrieval-Augmented Generation) workflows
Experience building document-centric AI applications, including summarization, classification, redaction, or content generation
Familiarity with vector databases and semantic search pipelines for contextual data retrieval
Hands-on experience designing LLM-based architectures that combine generative reasoning with structured data
Experience defining AI frameworks, SDKs, or internal developer tools for reusable AI capabilities
Proven experience with low-code/no-code platforms such as Power Automate, Power Apps, Logic Apps, or other workflow orchestration tools
Ability to integrate LLM capabilities into enterprise environments, balancing scalability, maintainability, and usability
Understanding of prompt orchestration, pipeline automation, and governance controls for GenAI systems
Deep familiarity with Microsoft Azure services: Azure OpenAI Service, Azure Cognitive Search, Azure AI Studio / Azure Machine Learning, Azure Functions, Azure Logic Apps, and Azure DevOps

Job Responsibility

Architect and implement a GenAI framework to enable internal teams to build and deploy document processing and NLP solutions with minimal coding effort
Lead the design and configuration of low-code/no-code AI development environments, integrating Azure OpenAI and Microsoft Cognitive Services
Define and implement AI architecture patterns, reusable components, and governance standards for scalable AI adoption
Collaborate with Tech Leaders and Engineering Leads to shape the AI technology roadmap, identifying opportunities for innovation and efficiency through GenAI
Build proofs of concept (POCs) that demonstrate new GenAI capabilities—such as document summarization, text generation, or automated content workflows
Support integration between GenAI tools and existing .NET-based systems, APIs, and enterprise data sources
Define AI model lifecycle standards including prompt engineering, versioning, data sourcing, and quality validation
Contribute to technical strategy discussions around model selection, cloud infrastructure, and tool evaluation
Coach and support engineers and business stakeholders in adopting and extending GenAI-based solutions

Fulltime

Senior Enterprise Architect in Artificial Intelligence

We are seeking a hands-on Senior Enterprise Architect in Artificial Intelligence...

Location

United States , Dallas

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in STEM or related field (MBA a plus)
5+ years in AI/ML solution architecture, prototyping, and experimentation
5+ years working with AWS and/or Azure data, analytics, and AI services
3+ years of experience with data science tools and frameworks
Recent, hands-on experience with Generative AI, LLMs, and Agentic AI platforms
Knowledge of cloud-native services (data storage, compute, networking, security)
Strong understanding of statistical methods, data preprocessing, and feature engineering
Deep knowledge of AI/ML tech across AWS/Azure and GCP
Understanding of cloud-native services for data storage, compute, networking, and security
Proven grasp of statistical concepts (e.g., hypothesis testing, probability distributions, regression analysis)

Job Responsibility

Design and architect enterprise-scale AI/ML solutions across areas such as Machine Learning, Generative AI, Deep Learning, Virtual Assistants, and Cognitive Services (Vision/Image, Text/Language processing)
Develop and communicate AI roadmaps, future-state architectures, and design artifacts
Rapidly prototype and build proof-of-concepts (PoCs) and MVPs for AI models and algorithms
Evaluate and recommend AI/ML tools, platforms, and frameworks
conduct ROI analysis
Experiment with and fine-tune LLMs, train custom models, and assess performance metrics
Perform data exploration, cleansing, and feature engineering to prepare datasets for model training
Guide and mentor engineering and data science teams through AI/ML solution design, deployment, and integration into enterprise workflows
Continuously scan industry innovations and apply emerging AI/ML technologies to business problems

What we offer

medical, vision, dental, and life and disability insurance
eligible to enroll in our company 401(k) plan

Senior AI Engineer

As the largest pureplay adhesives company in the world, H.B. Fuller’s (NYSE: FUL...

Location

Portugal , Mindelo, Porto

Salary:

Not provided

H.B. Fuller

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or a related field
3+ years of hands-on experience in AI/ML engineering or data science, covering the full solution lifecycle from data preparation to production
Experience in deploying AI & ML solutions on Microsoft Azure (Azure ML, Databricks, Cognitive Services, OpenAI)
Proficiency in Python (pandas, scikit-learn, TensorFlow or PyTorch)
Familiarity with Azure Data Factory, Azure Data Lake, and Synapse Analytics
Practical experience implementing LLM-based solutions (e.g. conversational agents, RAG workflows) and integrating AI models into enterprise applications
Strong understanding of MLOps practices, including model versioning, monitoring and automated deployment
Knowledge of Responsible AI principles, data security and governance frameworks
Fluent in English (both written and spoken) and preferably another European language

Job Responsibility

Governance: Collaborate with internal IT, Data, and Digitalization teams to align AI initiatives with enterprise architecture
Coordinate with Enterprise Architects, IT Security and Infrastructure teams to ensure all AI & ML solutions are scalable, secure and compliant
Provide technical guidance and act as the escalation point for complex technical challenges on AI & ML solutions
Support internal and external partners in understanding and adopting AI & ML solutions through documentation, demonstrations and training
Development & Delivery: Design, develop and maintain AI & ML solutions across business functions, using the Microsoft Azure platform
Build and deploy Generative AI applications using Azure AI Foundry and Azure OpenAI
Integrate Azure Cognitive Services (vision, speech, language, AI Search) to accelerate intelligent solution development
Collaborate with Data Engineers and Solution Architects to ensure reliable, well-prepared data pipelines and translate high-level AI architecture into executable components
Design and integrate API-based frameworks to embed AI & ML models into enterprise applications and automation workflows, partnering with IT teams to ensure interoperability, scalability and compliance with enterprise standards
Innovation & AI-Driven Capabilities: Design, develop, and deploy predictive, classification, and anomaly detection models using Azure ML and Databricks

Digital Transformation Tech Authority

Lead the design, development, and deployment of advanced digital transformation ...

Location

United Kingdom , Newbury

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Proven experience in process analysis, design, implementation, and system testing, including UAT and defect resolution
Strong scripting and programming skills across multiple languages and platforms
Deep familiarity with automation frameworks and advanced analytics tools
Confident communicator with the ability to influence and collaborate effectively with customers, suppliers, and internal stakeholders at all levels
Commitment to best practice, driving efficiency and eliminating unproductive activities
Agile mindset with adaptability to changing priorities and environments
Highly analytical and structured approach to problem-solving and decision-making
Proactive in identifying self-development needs and continuous learning
Demonstrated ability to lead complex projects, manage stakeholders, and deliver measurable business outcomes
Ability to manage multiple programmes and projects simultaneously, ensuring delivery against strategic objectives

Job Responsibility

Lead the design, development, and deployment of advanced digital transformation solutions across Core Transport, including intelligent and robotic automation, machine learning, predictive analytics, and big data capabilities
Drive innovation and continuous improvement, ensuring automation strategies align with business objectives
Build strong relationships with stakeholders and cross-functional teams, providing technical authority and guidance to deliver scalable automation solutions
Develop scripts and orchestration frameworks, overseeing performance optimisation, and championing new concepts that enable future-ready operations
Define and lead the design and implementation of digital solutions within automation engines and orchestration platforms, ensuring alignment with transformation objectives
Drive efficiencies through advanced analytics, automation, AI-driven cognitive learning, and digital visualisation to optimise operational performance
Leverage technology opportunities to deliver an integrated, simplified Network Operations model capable of supporting complex products and services
Develop and maintain scripts, automated workflows, and orchestration frameworks within intelligent automation platforms
Ensure operational readiness by overseeing integrated models, governance processes, and providing final project sign-off
Continuously review and innovate operational processes to identify and implement automation opportunities through software development and coding best practices

What we offer

Yearly bonus: 10%
Annual leave: 28 days + bank holidays + the opportunity to buy/sell/carry over 5 days/year
Charity days: 5 days/year
Maternity leave: 52 weeks: the first 13 weeks are fully paid, followed by 26 weeks of half pay
Private pension: You can contribute up to 5% of your basic pay with 2:1 matching from Vodafone up to 10%
Access to: private medical, private dental, free health assessments, share save scheme
Additional discounts: Vodafone retail, gym, cinema, cycle to work, season ticket loan

Fulltime

New

Senior Software Engineer

Azure Resource Graph’s (ARG, part of ARM/Azure Control Plane) mission is to reli...

Location

United States , Multiple Locations

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 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, OR Java, JavaScript, or Python OR equivalent experience
3+ years of experience building and shipping large scale cloud services such as Azure, AWS or Google Cloud
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Drive critical platform initiatives to scale with Azure’s growing needs, focusing on building high-throughput ingestion and querying infrastructure for cloud metadata and graph relationships
Own technical design, implementation, and delivery of systems that span distributed services, APIs, ingestion pipelines, and scalable storage
Contribute to performance tuning across the stack—from gateway services to runtime query engines—ensuring responsiveness and efficiency at large data volumes
Collaborate with engineers across Azure Core to ensure secure, reliable, and observable service operation at global scale
work on integrating AI-assisted capabilities (e.g., auto-tagging, anomaly detection, smart recommendations) into resource inventory using machine learning pipelines or inference APIs
Contribute to intelligent search and natural language querying features by partnering with teams working on Azure OpenAI and Azure Cognitive Search
Grow technical depth in distributed systems, runtime internals, and optional database technologies, while contributing reusable building blocks across the platform
Mentor other engineers, uphold engineering best practices, and foster a collaborative, high-trust team environment and understand and evolve platform architecture with a balance of short-term delivery and long-term sustainability

Fulltime

Senior Cognitive AI / Machine Learning Engineer

Nondestructive & Visual Inspection

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 29, 2026

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