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 Artificial Intelligence Engineer

We are seeking an experienced AI Consultant & Engineer who will lead our organiz...

Location

India , Gurugram

Salary:

Not provided

Khoj Information Technology

Expiration Date

Until further notice

Requirements

8 - 13 years of experience
Experience in AI adoption roadmaps for enterprises, emphasizing ROI, maturity, and operational alignment
Experience in AI readiness assessments, including data quality, governance, security, and change management
Knowledge of emerging AI capabilities, Agentic AI use cases, and Microsoft AI roadmap
Experience designing, building, and deploying Agentic AI solutions using frameworks such as Semantic Kernel, Azure OpenAI Function Calling, Orchestration frameworks (AutoGen, Prompt Flow, LangChain)
Experience implementing autonomous or semiautonomous AI agents for workflows such as Research & summarization, Document processing, Process automation, Policy & compliance automation, Customer and employee experience bots
Experience integrating agents with enterprise systems via Graph API, connectors, and custom plugins
Experience implementing AI solutions using Azure OpenAI Service, Microsoft Copilot Studio, Microsoft Fabric, Azure Machine Learning & AI Studio, Azure Search / Cognitive Search, Azure Functions, APIM, Logic Apps
Experience building Retrieval-Augmented Generation (RAG) solutions using enterprise SharePoint, OneDrive, SQL, Azure Storage, Azure Integration Services
Experience implementing Microsoft’s Responsible AI guidelines and compliance controls

Job Responsibility

Develop AI adoption roadmaps for enterprises, emphasizing ROI, maturity, and operational alignment
Help in creating strategy for Conducting AI readiness assessments, including data quality, governance, security, and change management
Advise teams on emerging AI capabilities, Agentic AI use cases, and Microsoft AI roadmap
Design, build, and deploy Agentic AI solutions using frameworks such as Semantic Kernel, Azure OpenAI Function Calling, Orchestration frameworks (AutoGen, Prompt Flow, LangChain)
Implement autonomous or semiautonomous AI agents for workflows such as Research & summarization, Document processing, Process automation, Policy & compliance automation, Customer and employee experience bots
Integrate agents with enterprise systems via Graph API, connectors, and custom plugins
Implement AI solutions using Azure OpenAI Service, Microsoft Copilot Studio, Microsoft Fabric, Azure Machine Learning & AI Studio, Azure Search / Cognitive Search, Azure Functions, APIM, Logic Apps
Build Retrieval-Augmented Generation (RAG) solutions using enterprise SharePoint, OneDrive, SQL, Azure Storage, Azure Integration Services
Implement Microsoft’s Responsible AI guidelines and compliance controls
Architect solutions to meet enterprise security requirements: Data boundaries, Information protection, Zero Trust, Logging & auditing

What we offer

Health insurance
Job/Soft skill training
Annual leaves

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

AI Learning Architect

In this pivotal role, you will be the chief architect of the pedagogical soul of...

Location

United Kingdom , London

Salary:

Not provided

Multiverse

Expiration Date

Until further notice

Requirements

Substantial and demonstrable experience in pedagogical design, learning architecture, or senior instructional design roles, with a strong focus on adult learners and work-based learning
A deep understanding and practical application of learning theories, particularly constructivism, and experience designing learning frameworks that prioritise problem-based or hands-on activities over traditional academic approaches
Proven experience developing and implementing scalable learning frameworks or systems that have been successfully used by other instructional designers or content creators
Familiarity with the UK apprenticeship levy and its regulatory requirements is highly desirable
Solid understanding of how Large Language Models (e.g. Gemini, ChatGPT etc.) work and their usage in a content creation workflows
While direct experience writing rules for AI is a plus, we are equally interested in candidates who have created highly structured, rule-based learning frameworks for human designers
Exceptional analytical, conceptual, and systems-thinking skills, with the ability to deconstruct complex pedagogical concepts into precise, logical rules
Outstanding communication and collaboration skills, with the ability to act as the bridge between academic theory and technical implementation
A passion for the future of education and a belief in the power of technology to revolutionise how people learn and develop new skills

Job Responsibility

Architect AI Learning Frameworks: Design, develop, and document a comprehensive set of rules and principles for our AI to follow when generating learning content. This framework will be the blueprint for our entire learning methodology
Embed Pedagogical Excellence: Translate established learning pedagogy, andragogy, and cognitive best practices into a clear, logical, and machine-readable rule set. You will be the expert voice ensuring our AI teaches effectively
Champion Hands-On Learning: Codify our problem-first, hands-on instructional sequencing into the AI's core logic, ensuring all generated content aligns with our active learning philosophy
Navigate Regulatory Landscapes: Integrate the complex regulatory requirements of the UK apprenticeship levy (and others as we expand) into the learning design rules, ensuring all content is compliant and of the highest standard
Collaborate with AI Teams: Partner closely with AI developers and engineers to ensure your pedagogical frameworks are accurately interpreted and implemented within the AI models
Empower Content Experts: Work in a close, collaborative partnership with programme and instructional designers and subject matter experts. You will enable them to leverage the frameworks you build and establish a continuous feedback loop to refine and improve the pedagogical rule set
Iterate and Innovate: Continuously evaluate the quality of AI-generated content, refining and iterating upon the learning rules to drive constant improvement and innovation
Stay at the Forefront: Remain current on emerging trends and research at the intersection of learning science, adult education, and artificial intelligence, bringing new ideas and best practices to the team

What we offer

Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month
Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year
Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!

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 Manager, Staff Software Engineering

Our Senior Manager, Staff Software Engineering is a leader who will lead member ...

Location

United States , Palo Alto; Dallas; Seattle

Salary:

140000.00 - 300000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Experience with designing solutions with a blend of low-code elements, pro-code enterprise elements, machine learning & AI cognitive services (for example, Power Platform, Azure App, Azure Cognitive Services & Azure Machine Learning)
Fluency and Specialization with at least two modern languages such as Java, C++, Python or C# including object-oriented design
Experience in building products using service-oriented architecture and extensible REST APIs
Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
Experience with continuous delivery and infrastructure as code
Fluency in DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework
Experience in existing Operational Portals such as Azure Portal
Experience with application monitoring tools and performance assessments
Experience in Datacenter structure, capabilities, and offerings, including the Azure platform, and its native services
In-depth knowledge of design patterns, CS data structures and algorithms

Job Responsibility

Focus on multiple areas and provide leadership to the engineering teams
Own complete solution across its entire life cycle
Influence and build vision with product managers, team members, customers, and other engineering teams to solve complex problems for building enterprise-class business applications
Accountable for the quality, usability, and performance of the solutions
Lead in design sessions and code reviews to elevate the quality of engineering across the organization
Utilize programming languages like Java, Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services
Consistently share best practices and improve processes within and across teams
Be responsible for building and mentoring a new team of software engineers
Drive the team towards building solutions towards the long-term goals while ensuring that high priority tech debts are solved in an efficient way

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

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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