676 to 700 of 5,854 Artificial Intelligence Jobs

or thermal imaging systems and calibration concepts like AGC, NUC, or shutter control. Familiarity with sensor fusion concepts and real-time data synchronization across sensors. Experience integrating or optimizing AI/ML models on embedded edge devices (e.g., TensorFlow Lite, ONNX on Jetson, Coral, or NPU-based SoCs). Basic knowledge of embedded Linux platforms (Yocto, U-Boot, kernel-level More ❯

North America, EMEA and APAC. Akkodis offers broad industry experience, and strong know-how in key technology sectors such as mobility, software & technology services, robotics, testing, simulations, data security, AI & data analytics. The combined IT and engineering expertise brings a unique end-to-end solution offering, with four service lines - Consulting, Solutions, Talents and Academy - to support clients in rethinking More ❯

Skills Object-oriented programming fundamentals Experience with relational databases, data modeling, and SQL Exposure to test-driven development and continuous integration Familiarity with cloud and integration tools (AWS, GCP, AI/ML, containers, etc.) Strong communication and critical thinking skills Support & Growth Resources Structured onboarding with team-specific technical training Ongoing mentorship and peer support through buddy programs Internal leadership More ❯

on hybrid/multi-cloud environments, with proven experience in creating frameworks, architecture, and design of cloud solutions. Experience in modern architectures such as event-driven, domain-driven design, AI, and machine learning. Microservices & API Design: Designing modular, scalable systems using RESTful or GraphQL APIs, API gateways, load balancers. Data architecture design, including creating conceptual, logical, and physical data models More ❯

UNITED KINGDOM Share Background We are expanding in the UK! Ramon.Space is a leader in space-resilient computing infrastructure. Powered by its unique AI/ML processors, Ramon.Space's software-empowered systems enable the realization of Earth-like space-resilient computing capabilities in space. Ramon.Space has a proven track record in space since 2014, the company's proven technology has More ❯

verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts. PREFERRED QUALIFICATIONS - A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent) and 5+ years of experience working in data science in a consumer product company - Practical experience in several of the following areas: machine learning, statistics, NLP, deep More ❯

Updates or Microsoft software delivery mechanisms. Bonus Points: Full-stack web developer experience. Experience in the education technology domain. Knowledge of C, C++, or Rust on Linux. Experience with AI tools for software engineering and product automation. Strong team player with excellent communication and influencing skills. Experience working with large codebases and distributed version control. Proven track record of introducing More ❯

response. Develop, test, and optimize API integrations to ensure scalability and reliability. Utilize Python, Java, and scripting languages (YAML, JSON, Linux/UNIX) for cloud-based application development. Implement AI-driven solutions to enhance workload efficiency and automation. Collaborate with development, security, and operations teams in a Scaled Agile environment. Maintain documentation and knowledge-sharing for cloud infrastructure and software More ❯

NoSQL databases is a nice-to-have, providing a well-rounded background. Experience with data visualization tools and DevOps principles/tools is advantageous. Familiarity with machine learning and AI concepts, particularly in how they integrate into data architectures. Design and Lifecycle Management: Proven background in designing modern, scalable, and robust data architectures. Comprehensive grasp of the data architecture lifecycle More ❯

improvement based on user feedback and performance data. The Individual About You: To be successful in this role you will have experience in product management, particularly within data and AI/ML domains. You will have a good background in the financial services or insurance industry, with an understanding of how data products can drive business value in these sectors. More ❯

IT specializes in providing comprehensive IT services tailored to meet the needs of federal agencies. Our capabilities include IT Infrastructure & Cloud Services, Cyber Security, Software Integration & Development, Data Solution & AI, and Enterprise Applications. These capabilities are backed by Gridiron IT's experienced workforce and our commitment to ensuring we meet and exceed our clients' expectations. More ❯

and the willingness to do this independently. Desirable Criteria •Understanding on the importance of data understanding, data cleansing, data manipulation and data translation •An interest in the worlds of AI and machine learning •A dedication to the process of review and testing your ideas and your work (we use Git + Azure Dev Ops). •A broad understanding of or More ❯

management, and operations. Experience with search and analytics engines/big data tools (OpenSearch, Kafka, Kibana, Telegraf, InfluxDB, Prometheus). Our Preferred Qualifications for this role: Basic understanding of AI and ML algorithms, including model training, testing, and deployment. Hands-on project experience in network automation; experience with AWX is a plus. Understanding of Git version control and Agile development More ❯

Good experience of working on cloud technologies and services on AWS. Strong practical experience in Flyway or Liquibase. Strong understanding of modern technologies and adoption of advanced solutions on AI/ML for resolving automation problems is highly advantageous. Soft Skills: Excellent problem-solving abilities and attention to detail. Strong communication and interpersonal skills, with the ability to lead cross More ❯

loans. A 360 degree spending view across all your financial accounts (using Open banking) A free credit report with tips and guidance to help improve your credit score Native AI led personalised financial planning to help users manage money, pay off their debts and improve their credit scores. Intelligent lending products to help reduce cost of credit We have built More ❯

our valuations for lender clients. Researching new datasets and advanced machine learning techniques that can be used to increase the accuracy of our property valuation model and improve our AI capabilities across our model and product range Design and create the pipelines and infrastructure to deploy data science models at scale Create the tools, frameworks and libraries that will enable More ❯

with cross-functional teams and stakeholders. Strong problem-solving and decision-making abilities, with a focus on delivering results. Bonus: You have a background in building developer platforms, generative AI, B2B SaaS, or functional programming. Benefits & perks (US Full-time employees) Generous PTO, plus company holidays Medical, dental, and vision coverage for you and your family Paid parental leave for More ❯

for structured and unstructured data across systems-including CRM, ERP, DMS, and customer-facing platforms. Design data models, data flow architectures, and system integrations to support analytics, operational reporting, AI/ML, and real-time decision-making. Collaborate with data engineers, analysts, solution architects, and business stakeholders to define and document data needs and data platform capabilities. Drive implementation of More ❯

based approaches and technologies. ·Understanding of the principles of data modelling and data flows with ability to apply this to design of data solutions. ·Experience of supporting and enabling AI technologies. ·Experience implementing data flows to connect operational systems, data for analytics and BI systems. ·Experience documenting source-to-target mappings. ·Experience translating business requirements into solution design and implementation. More ❯

PCI). Technical Skills Proficiency with security tools (SailPoint, Rapid7, Wiz.io , MS Defender, SIEM, vulnerability management, penetration testing). Knowledge of cloud technologies (AWS, Azure). Experience using generative AI (e.g., ChatGPT) for test strategies, reports, and communications. Skills in automation and analytics tools (Excel, Tableau, Alteryx, or PowerBI). Create queries and reports in RSA Archer and ServiceNow. Familiarity More ❯

Python). Familiarity with Salesforce, Dynamics 365, or similar enterprise systems. Excellent communication, collaboration, and stakeholder management skills. Nice-to-Haves Knowledge of Kafka, Snowflake, or Databricks. Experience with AI in data (e.g., real-time forecasting, visualisation). Background in advisory or consulting roles within data strategy. Ability to thrive in ambiguous, fast-paced environments. Confidence in storytelling with data More ❯

Cloud Security Professional or Cloud DevOps Engineering) - Experience in infrastructure architecture, database architecture and networking - Experience in migrating or transforming legacy customer solutions to the cloud - Familiarity with common AI/ML and GenAI lifecycles, data lakes and data analytics solutions. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and More ❯

BI and data science work. Lead the evaluation and adoption of new BI and data science technologies to improve the team’s overall effectiveness. Identify opportunities to integrate automation, AI, and advanced analytics into both BI and broader business functions. Qualifications Leadership & Team Management – Proven experience leading a multidisciplinary team, including BI professionals and data scientists. BI & Data Science Expertise More ❯

and proposals for change, designing solutions and working cross-functionally to implement process and change within the organization. Job Responsibilities • Data-Driven Action Requirements: Leverage revenue performance data and AI to identify patterns, drivers, and actionable insights across segments, geographies, products, and channels. • Evaluate funnel performance (lead to cash), identifying friction points and opportunities to optimize conversion rates. • Measure ROI More ❯

Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in More ❯