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ai ml engineer ibm watson

Andersen

Andersen is hiring an AI/ML Engineer (IBM Watson) to support a user-focused eCommerce platform for pre-owned vehicle sales, enhancing customer experience and enabling a modern, scalable digital marketplace.The customer is a progressive, diversified, and sustainable business group focused on delivering customer excellence and guided by strong core values. The organization provides superior experience in the automotive and related sectors through high-value products and services. Its broad portfolio, developed in partnership with leading global brands, enables access to advanced technology and enhanced solutions tailored to customer needs.The project is focused on designing, developing, and deploying a user-centric eCommerce platform for pre-owned vehicle sales. The goal is to enhance customer experience, strengthen brand engagement, and support online revenue growth by providing a modern, convenient digital marketplace.Responsibilities:- Designing, developing, and implementing AI solutions using IBM Watson services (Watson Assistant, Watson Discovery, Watson NLP, Watson Speech).- Building, training, and maintaining NLP models and conversational AI solutions.- Developing and supporting intelligent chatbots and virtual assistants.- Integrating Watson services with backend systems, APIs, and external platforms.- Analyzing business requirements and translating them into AI-driven solutions.- Configuring dialog flows, intents, entities, and conversation logic.- Evaluating model performance and continuously improving AI solutions.- Ensuring scalability, performance, and security of AI implementations.- Preparing and maintaining technical documentation.- Collaborating with developers, analysts, QA, and DevOps teams.Must-haves:- Hands-on experience with IBM Watson AI / Watsonx for 3+ years.- Practical experience with Watson Assistant, Watson Discovery, Watson NLP, or similar services.- Strong understanding of NLP and conversational AI principles.- Experience integrating AI services via REST APIs.- Proficiency in Python and/or JavaScript.- Experience with cloud platforms (IBM Cloud is a strong advantage).- Basic understanding of machine learning and data analytics.- Experience with version control systems (Git).- Level of English &ndash; from Upper-Intermediate and above..Nice-to-Haves:- Experience with cloud platforms (AWS/Azure).- Experience with Watsonx.ai and Watsonx.data.- Experience delivering enterprise-grade chatbots or AI assistants.- Familiarity with other AI platforms (Azure AI, Google AI, OpenAI, etc.).- Experience with CI/CD pipelines, Docker, and DevOps practices.- Knowledge of AI security, governance, and ethical AI principles.Reasons why this job would be interesting to you:- Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson &amp; Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..- The opportunity to change the project and/or develop expertise in an interesting business domain.- Job conditions &ndash; you can work both fully remotely and from the office or can choose a hybrid variant.- Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.- The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.- Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.- Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).- Certification compensation (AWS, PMP, etc).- Referral program.- English courses.- Private health insurance and compensation for sports activities.Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policyJoin us!https://people.andersenlab.com/Job Types: Full-time, PermanentExperience:<ul><li>IBM Watson: 3 years (Required)</li></ul>

AI/ML Engineer (IBM Watson)

Regional Educational Institute

Job Summary:We are seeking an experienced and passionate AI Data Science Trainer to deliver engaging, hands-on training in artificial intelligence, machine learning, and data science. The ideal candidate will have a strong background in the AI/ML field and a knack for breaking down complex topics into digestible, practical lessons for students or professionals.______________Key Responsibilities:<ul><li>Design, develop, and deliver curriculum on AI, machine learning, deep learning, data science, and related tools/technologies.</li><li>Conduct training sessions (online or in-person) for students, professionals, or corporate clients.</li><li>Create educational materials including presentations, coding exercises, projects, and assessments.</li><li>Stay up-to-date with the latest industry trends, research, and tools in AI/ML.</li><li>Mentor and support learners through Q&amp;A sessions, project guidance, and code reviews.</li><li>Evaluate learner progress and provide constructive feedback.</li><li>Collaborate with curriculum designers, industry experts, and internal teams to improve training effectiveness.</li></ul>______________Required Qualifications:<ul><li>Bachelor's or Master&rsquo;s degree in Computer Science, Data Science, AI, or related field.</li><li>3+ years of hands-on experience in AI, machine learning, or data science.</li><li>Proficiency in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.</li><li>Experience with tools like Jupyter Notebook, Google Colab, Git, and cloud platforms (AWS, GCP, or Azure).</li><li>Strong knowledge of data preprocessing, model development, evaluation, and deployment.</li><li>Experience developing course content or online educational materials.</li><li>Excellent communication and presentation skills.</li><li>Prior teaching, training, or mentoring experience is a plus</li></ul>Job Type: Part-time

AI Data Science Trainer

DICETEK LLC

Experience with/understanding of at least four of the followings:
 
1. CIAM and IBM identity security access manager (ISAM/IBM verify) hands on experience with good
 
working knowledge to handle Customization, Development, Installation, and Configuration.
 
2. Experience with deep knowledge of Identity Management, Access Management, and Directory
 
Services technologies (Security Directory Server) and Security Directory Integrator.
 
3. Security experience with deep Technical knowledge in security domains especially IAM, endpoint
 
protection and application security.
 
4. Financial sector experience for implementation of API Protection, Micro services security, Advanced
 
access control technologies like: oAUTH, JWT, SAML, XACML , OTP and MMFA and DevOps process integration for these.
 
5. Good Knowledge of latest Authentication and Authorization techniques for Mobile, Web, and API
 
6. Integration with social identity provider including UAE Pass,EFR , Sim Validation etc.
 
7. Building and using APIs (SOAP, XML, RESTFULL, JSON etc.) along working experience of JavaScript,
 
React, Node.js, AngularJS, Regular Expressions, HTML, and CSS in support of web
 
Minimum 5—7 years of experience in IT activities of which minimum 4 years should be in a similar role
 
<ul>
<li>Must have experience of IBM identity and Security management products like ISAM /IBM verify /Tivoli etc. • Financial sector experience will be a plus point.</li>
</ul>

CIAM Integration Developer

Job Summary:We are seeking an experienced and passionate AI Data Science Trainer to deliver engaging, hands-on training in artificial intelligence, machine learning, and data science. The ideal candidate will have a strong background in the AI/ML field and a knack for breaking down complex topics into digestible, practical lessons for students or professionals.______________Key Responsibilities:<ul><li>Design, develop, and deliver curriculum on AI, machine learning, deep learning, data science, and related tools/technologies.</li><li>Conduct training sessions (online or in-person) for students, professionals, or corporate clients.</li><li>Create educational materials including presentations, coding exercises, projects, and assessments.</li><li>Stay up-to-date with the latest industry trends, research, and tools in AI/ML.</li><li>Mentor and support learners through Q&amp;A sessions, project guidance, and code reviews.</li><li>Evaluate learner progress and provide constructive feedback.</li><li>Collaborate with curriculum designers, industry experts, and internal teams to improve training effectiveness.</li></ul>______________Required Qualifications:<ul><li>Bachelor's or Master&rsquo;s degree in Computer Science, Data Science, AI, or related field.</li><li>3+ years of hands-on experience in AI, machine learning, or data science.</li><li>Proficiency in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.</li><li>Experience with tools like Jupyter Notebook, Google Colab, Git, and cloud platforms (AWS, GCP, or Azure).</li><li>Strong knowledge of data preprocessing, model development, evaluation, and deployment.</li><li>Experience developing course content or online educational materials.</li><li>Excellent communication and presentation skills.</li><li>Prior teaching, training, or mentoring experience is a plus</li></ul>Job Type: Part-timeExperience:<ul><li>training: 2 years (Required)</li></ul>Location:<ul><li>Abu Dhabi (Required)</li></ul>

Artificial Intelligence & Machine Learning Trainer

Nagarro

<div>
 
 Job Description
 
 
 
 Design and deliver
 
 enterprise-grade AI solutions
 
 across LLM, ML, and knowledge engineering domains. Work with engineering teams to build
 
 scalable, secure, and cloud-native AI architectures
 
 aligned with enterprise standards.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Architect solutions for LLM agents, RAG pipelines, Conversational AI, AI search, and knowledge systems.
 </li>
 <li>
 Design cloud-native AI platforms on Azure with serverless endpoints, GPU autoscaling, and distributed compute.
 </li>
 <li>
 Implement vector databases with advanced indexing and low-latency retrieval.
 </li>
 <li>
 Translate business vision into secure, compliant AI architectures with monitoring, RBAC, and explainability.
 </li>
 <li>
 Collaborate with stakeholders and communicate technical decisions clearly.
 
 
 </li>
 </ul>
 
 Must-Have Skills:
 
 
 
 <ul>
 <li>
 AI Application Solution Design
 </li>
 <li>
 Cloud-Native GenAI Development
 </li>
 <li>
 Data Science on Azure
 </li>
 <li>
 Machine Learning Solution Design
 </li>
 <li>
 Advanced RAG Workflow
 </li>
 <li>
 Hands-on Python and experience with agentic GenAI systems
 
 
 </li>
 </ul>
 Arabic proficiency is a plus.
</div>

AI Solution Architect

<div>
 
 Job Description
 
 
 
 We are looking for an
 
 AI Business Analyst
 
 to bridge business and technical teams for AI/ML solutions in
 
 Banking and Insurance
 
 . You will gather requirements, define solution scope, and ensure alignment with enterprise standards.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Engage stakeholders to capture business goals and translate them into functional &amp; non-functional requirements.
 </li>
 <li>
 Prioritize features based on business value and feasibility.
 </li>
 <li>
 Assess data readiness and collaborate with data scientists and architects on solution design.
 </li>
 <li>
 Document user stories, acceptance criteria, and process flows using Figma and Miro.
 </li>
 <li>
 Support model training, validation, and ensure compliance with Responsible AI and regulatory norms.
 </li>
 <li>
 Define KPIs, track performance, and recommend enhancements for continuous improvement.
 
 
 </li>
 </ul>
 
 Must-Have Skills:
 
 
 
 <ul>
 <li>
 Strong Generative AI fundamentals.
 </li>
 <li>
 8+ years of experience
 </li>
 <li>
 Experience in Banking &amp; Insurance domain.
 </li>
 <li>
 Proficiency in Figma and Miro for process visualization.
 </li>
 <li>
 Arabic language proficiency (verbal &amp; written).
 </li>
 </ul>
</div>

AI Business Analyst – Banking & Insurance

GenBio AI

<div>
 Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
 
 
 We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&amp;D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
 
 
 
 Job Description:
 
 
 
 <ul>
 <li>
 You will work with the team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
 </li>
 <li>
 You will work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
 </li>
 <li>
 Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models
 
 
 
 
 </li>
 </ul>
 
 Qualification:
 
 
 
 <ul>
 <li>
 M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
 </li>
 <li>
 Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications
 </li>
 <li>
 Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra)
 </li>
 <li>
 Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
 </li>
 <li>
 Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment)
 </li>
 <li>
 Familiarity with software engineering best practices (version control, documentation, etc)
 
 
 
 
 </li>
 </ul>
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 3 year PhD student and above
 </li>
 <li>
 Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences
 </li>
 <li>
 Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research)
 </li>
 <li>
 Hands-on experience working at the intersection of AI and Biology
 </li>
 <li>
 Experience in large-scale distributed training and inference
 </li>
 <li>
 Open-source contributions, especially if used by others
 
 
 
 
 </li>
 </ul>
 Join us as we embark on this journey to redefine the future of biology and medicine.
 
 
 We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security&rsquo;s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Research Scientist Intern

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