ai specialist

Müller's Solutions

<div>
 M&uuml;ller's Solutions is excited to announce an opening for a Google Cloud AI Specialist to drive our artificial intelligence initiatives leveraging Google Cloud Platform (GCP). In this role, you will be responsible for designing and implementing AI and machine learning solutions to help transform our data into actionable insights and enhance decision-making processes across the organization.
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 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and deploy machine learning models using GCP tools such as AI Platform, TensorFlow, and AutoML
  </li>
  <li>
   Collaborate with cross-functional teams to identify business needs and translate them into AI and ML project requirements
  </li>
  <li>
   Conduct data analysis to prepare datasets for model training and evaluation while ensuring data quality and integrity
  </li>
  <li>
   Implement and optimize AI workflows that facilitate real-time data processing and inference
  </li>
  <li>
   Stay updated on the latest advancements in AI and machine learning technologies to continuously improve our offerings
  </li>
  <li>
   Provide technical guidance and support to teams on best practices for using Google Cloud AI services
  </li>
  <li>
   Document AI project implementations, model performance evaluations, and ongoing maintenance procedures
  </li>
  <li>
   Contribute to developing educational materials and training sessions on AI capabilities for staff and stakeholders
  </li>
  <li>
   Monitor and assess the performance of deployed AI models, making adjustments as necessary to ensure effectiveness
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
  </li>
  <li>
   3+ years of experience in machine learning or AI solutions development, preferably using Google Cloud Platform
  </li>
  <li>
   Proficient in programming languages such as Python or R, with a strong understanding of machine learning libraries (e.g., TensorFlow, scikit-learn)
  </li>
  <li>
   Experience with cloud-based AI technologies, especially GCP services like Vision AI, Natural Language API, and AutoML
  </li>
  <li>
   Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques
  </li>
  <li>
   Ability to work with large datasets, utilizing BigQuery or similar data processing tools
  </li>
  <li>
   Excellent problem-solving skills and a strong analytical mindset
  </li>
  <li>
   Capable of communicating complex technical concepts to diverse audiences effectively
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Google Cloud certifications (e.g., Google Cloud Professional Data Engineer or Google Cloud Professional Machine Learning Engineer) are a plus
  </li>
  <li>
   Experience with MLOps practices and tools for model deployment and management
  </li>
  <li>
   Familiarity with DevOps practices as they relate to AI and machine learning
  </li>
  <li>
   A background in statistics or applied mathematics is desirable
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 1- Attractive Package.
 <br/>
 <br/>
 2- Family Benefits.
 <br/>
 <br/>
 3- Visa.
 <br/>
 <br/>
 4-Air Tickets.
</div>


Google Cloud AI Specialist

Muller's Solutions

<div><p>M&uuml;ller&rsquo;s Solutions is excited to announce an opening for a Google Cloud AI Specialist to drive our artificial intelligence initiatives leveraging Google Cloud Platform (GCP). In this role, you will be responsible for designing and implementing AI and machine learning solutions to help transform our data into actionable insights and enhance decision-making processes across the organization.</p><p></p><p><b><br>
Key Responsibilities:</b></p><ul><li>
Develop and deploy machine learning models using GCP tools such as AI Platform, TensorFlow, and AutoML.</li><li>
Collaborate with cross-functional teams to identify business needs and translate them into AI and ML project requirements.</li><li>
Conduct data analysis to prepare datasets for model training and evaluation while ensuring data quality and integrity.</li><li>
Implement and optimize AI workflows that facilitate real-time data processing and inference.</li><li>
Stay updated on the latest advancements in AI and machine learning technologies to continuously improve our offerings.</li><li>
Provide technical guidance and support to teams on best practices for using Google Cloud AI services.</li><li>
Document AI project implementations, model performance evaluations, and ongoing maintenance procedures.</li><li>
Contribute to developing educational materials and training sessions on AI capabilities for staff and stakeholders.</li><li>
Monitor and assess the performance of deployed AI models, making adjustments as necessary to ensure effectiveness.</li></ul><br>
<b>
Requirements</b><p><b><br>
Requirements:</b></p><ul>
<li>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li>
<li>3+ years of experience in machine learning or AI solutions development, preferably using Google Cloud Platform.</li>
<li>Proficient in programming languages such as Python or R, with a strong understanding of machine learning libraries (e.g., TensorFlow, scikit-learn).</li>
<li>Experience with cloud-based AI technologies, especially GCP services like Vision AI, Natural Language API, and AutoML.</li>
<li>Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.</li>
<li>Ability to work with large datasets, utilizing BigQuery or similar data processing tools.</li>
<li>Excellent problem-solving skills and a strong analytical mindset.</li>
<li>Capable of communicating complex technical concepts to diverse audiences effectively.</li>
</ul><p><b>Preferred Qualifications:</b></p><ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Data Engineer or Google Cloud Professional Machine Learning Engineer) are a plus.</li>
<li>Experience with MLOps practices and tools for model deployment and management.</li>
<li>Familiarity with DevOps practices as they relate to AI and machine learning.</li>
<li>A background in statistics or applied mathematics is desirable.</li><br>
</ul><br>
<br>
<b>Benefits</b><p><br>
1- Attractive Package.
</p><p>2- Family Benefits.
</p><p>3- Visa.</p><p>
4-Air Tickets.</p></div><p></p>

MAVEN EVENTS

<p>We are seeking an experienced <b>AI Specialist</b> to join our creative team. The ideal candidate will leverage AI tools to professionally produce high-quality videos, graphics, images, and written content for marketing campaigns, social media, and events.</p><p>This role requires a combination of technical proficiency, creativity, and the ability to deliver polished content that aligns with Maven Events&rsquo; brand standards and client expectations.</p><p><b>Key Responsibilities:</b></p><ul><li>Create professional digital content using AI tools, including: <b>Video production and editing,</b> <b>Graphic design and AI-generated imagery</b>, <b>Social media visuals and marketing materials </b>and <b>AI-assisted copywriting and written content</b></li><li>Collaborate with internal teams to ensure content aligns with brand guidelines and campaign objectives</li><li>Stay current with emerging AI tools and technologies to enhance content quality and creativity</li><li>Optimize content for different platforms (Instagram, TikTok, YouTube, websites, etc.)</li><li>Maintain an organized library of AI-generated assets for team use</li><li>Experiment with innovative AI tools to improve workflow efficiency and creative output</li></ul><p><b>Qualifications:</b></p><ul><li>Proven experience with AI content creation tools (e.g., MidJourney, DALL&middot;E, RunwayML, Canva AI, ChatGPT, Jasper, Pictory, Synthesia)</li><li>Strong skills in video editing and graphic design (Adobe Premiere, After Effects, Photoshop, Illustrator, Canva, etc.)</li><li>Knowledge of social media platforms and content optimization best practices</li><li>Creative mindset with attention to detail and quality</li><li>Ability to manage multiple projects and meet deadlines in a fast-paced environment</li><li>Excellent communication and collaboration skills</li><li>Portfolio showcasing AI-generated content is highly desirable</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience with AI-assisted 3D modeling or animation</li><li>Basic coding or scripting knowledge for AI workflow automation</li></ul><p>Job Types: Full-time, Permanent</p><p>Work Location: In person</p>

AI Specialist - Content Creation

Lenovo

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div><b>Req # </b></div><div>WD00096365
</div></div><div><div><b>Career Area: </b></div><div>Artificial Intelligence
</div></div><div><div><b>Country/Region: </b></div><div>United States of America
</div></div><div><div><b>State: </b></div><div>North Carolina
</div></div><div><div><b>City: </b></div><div>Morrisville
</div></div><div><div><b>Date: </b></div><div>Wednesday, March 11, 2026
</div></div><div><div><b>Working Time: </b></div><div>Full-time
</div></div><div><div><b>Additional Locations</b>:
<ul><li>United States of America - North Carolina - Morrisville
</li></ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Why Work at Lenovo
</b></h3></div></div><div><div><div><div><div><div>We are Lenovo. We do what we say. We own what we do. We WOW our customers.</div><div></div><div><br>
Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).</div></div><br>
<div></div><br>
<div>This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit <b>www.lenovo.com</b>, and read about the latest news via our <b>StoryHub</b>.</div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements
</b></h3></div></div><div><div><div><div><p><b>Overview:</b></p><p>
We are seeking a motivated <b>AI Specialist Intern</b> to support critical AI initiatives that will directly contribute to <b>Sphere AI&rsquo;s future enhancements</b>. This internship focuses on <b>data exploration, machine learning development, and generative AI solution design</b>, offering hands‑on experience across multiple AI problem areas.</p>
<p></p><p>The intern will support <b>three key use cases</b>:</p>
<div><ul><li><b>Data exploration, analysis, and machine learning development</b>, including some generative AI work</li></ul>
<ul><li><b>Generative AI solution exploration</b>, focusing on use‑case design and feasibility</li></ul>
<ul><li><b>Prompt engineering and GenAI experimentation</b>, refining how AI models are instructed and applied</li></ul>
</div><p></p><p>All three outcomes are strategically important and will directly influence the evolution of Sphere AI.</p><br>
<p></p><br>
<p><b>Key Responsibilities:</b></p><p></p><p><b>
Data Analysis &amp; Machine Learning Development</b></p><ul>
<li>Perform data exploration, cleaning, and analysis to uncover patterns and insights.</li>
<li>Develop, train, and evaluate machine learning models using Python‑based frameworks.</li>
<li>Apply statistical and data science techniques to support AI model development.</li>
<li>Document findings, model behavior, and experimental results.</li>
</ul><p></p><p><b>Generative AI &amp; Prompt Engineering</b></p><ul>
<li>Explore generative AI solutions and identify opportunities to apply them to real business problems.</li>
<li>Design, test, and refine prompts to improve model accuracy, relevance, and usability.</li>
<li>Experiment with different GenAI approaches to optimize outputs and performance.</li>
<li>Compare and evaluate GenAI techniques and tools for future integration.</li>
</ul><p></p><p><b>AI Solution Exploration &amp; Prototyping</b></p><ul>
<li>Assist in prototyping AI‑driven solutions that support Sphere AI&rsquo;s roadmap.</li>
<li>Collaborate with technical team members to translate ideas into working experiments.</li>
<li>Analyze results and provide recommendations based on data and experimentation.</li>
</ul><p></p><p><b>Collaboration &amp; Communication</b></p><ul>
<li>Work closely with team members to understand requirements and technical goals.</li>
<li>Clearly communicate progress, findings, and challenges through presentations or written updates.</li>
<li>Maintain organized project artifacts, code repositories, and documentation</li></ul><p></p><div><div><p><b><br>
Required Qualifications:</b></p><p></p><p><b>
Education</b></p><ul>
<li>Currently enrolled in an undergraduate program in <b>Computer Science, Statistics, Data Science, or a related field</b>.</li>
</ul><p></p><p><b>Technical Requirements</b></p><ul>
<li>Completion of <b>AI and/or Machine Learning&ndash;related undergraduate coursework</b>.</li>
<li>Proficiency in <b>Python</b> or similar programming languages.</li>
<li>Familiarity with data analysis and data science frameworks and tools, such as:
</li><ul><li>Python, Pandas</li>
<li>Scikit‑learn</li>
<li>Git</li>
<li>Linux</li>
</ul><li>Prior hands‑on experience through coursework, side projects, or personal projects involving <b>ML or AI</b>.</li>
</ul><p></p><p><b>Core Skills &amp; Competencies</b></p><ul>
<li>Strong analytical and problem‑solving skills.</li>
<li>Ability to work independently and manage multiple tasks.</li>
<li>Clear written and verbal communication skills.</li>
<li>Curiosity and willingness to experiment with new AI techniques.</li>
<li>Passion for emerging technologies in <b>AI, machine learning, and data science</b>.</li>
</ul><p></p><p><b>Preferred / Nice‑to‑Have Skills</b></p><ul>
<li>Exposure to generative AI models or tools.</li>
<li>Experience working with datasets of varying size and complexity.</li>
<li>Familiarity with prompt engineering concepts or experimentation.</li>
<li>Interest in applied AI solutions and real‑world use cases.</li><br>
</ul><p></p><br>
<p><b>Key Skills &amp; Technologies</b></p><ul>
<li>Artificial Intelligence &amp; Machine Learning</li>
<li>Generative AI &amp; Prompt Engineering</li>
<li>Data Exploration &amp; Analysis</li>
<li>Python Programming</li>
<li>Data Science Frameworks (Pandas, Scikit‑learn)</li>
<li>Git &amp; Version Control</li>
<li>Linux</li>
<li>Statistical Analysis</li>
<li>Technical Documentation</li><br>
</ul><p></p><br>
<p><b>What You Will Gain</b></p><ul>
<li>Hands‑on experience working on high‑impact AI initiatives.</li>
<li>Exposure to real‑world machine learning and generative AI applications.</li>
<li>Practical experience with prompt engineering and AI solution design.</li>
<li>Mentorship from experienced AI and data science professionals.</li><br>
</ul><br>
</div></div></div></div><div><div><div><i>We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.</i></div>
</div></div></div></div></div><div></div><div><div><div><div><div><b>Additional Locations</b>:
<ul><li>United States of America - North Carolina - Morrisville</li></ul></div></div></div></div></div></div>

AI Specialist Intern - Summer 2026

Innodata

<div><p><b>Job Title:</b> Generative AI Specialist - Humanities (English and Russian)</p><p><b>
Location: </b>Fully Remote within the U.S. (excluding California, Washington, Alaska, Colorado, Montana, New York, Puerto Rico, Nevada, Nebraska)</p><p><b>
Employment Type:</b> Part-Time; up to 28 hours per week</p><p></p><p><b>
Who we are:</b></p><p>
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world&rsquo;s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.</p><p></p><p><br>
By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we&rsquo;re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.</p><p></p><p><br>
Our global workforce includes over 7,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We&rsquo;re poised for a period of explosive growth over the next few years.</p><p></p><p><b><br>
About the Role:</b></p><p>
At Innodata, we&rsquo;re partnering with the world&rsquo;s leading technology companies to build the future of generative AI and large language models (LLMs). We&rsquo;re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our <b>Subject Matter Expert (SME) on Demand</b> program.</p><p></p><p><br>
This is not a traditional full-time role. It&rsquo;s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact&mdash;on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.</p><p></p><p><br>
You&rsquo;ll be helping LLMs learn the intricacies of language and reasoning&mdash;not just how to write, but how to think. If you&rsquo;ve ever dreamed of shaping the intelligence behind tomorrow&rsquo;s technology, this is your chance.</p><p></p><p><br>
This is more than just a gig&mdash;it&rsquo;s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.</p><p></p><p><b><br>
What You&rsquo;ll Be Doing:</b></p><p>
Core tasks would include (any/multiple of) but not limited to the following:
</p><ul><li>Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
</li><li>Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole.
</li><li>Classification: Assigning predefined categories or labels to items.
</li><li>Content Quality: Evaluating the perceived quality and/or appropriateness of content
</li><li>Content Understanding: Generating labels to advance understanding of a concept, trend etc.
</li><li>Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
</li><li>Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
</li><li>Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.</li><li>
Preference Ranking: Ordering or ranking items based on a set of preferences or criteria.
</li><li>Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system.
</li><li>Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
</li><li>Response Generation: Generating responses to prompts or questions using a language model or other AI system.
</li><li>Response Rewrite: Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
</li><li>Response Summarization: Producing concise summaries of longer pieces of text or data.
</li><li>Similarity Evaluation: Projects where content is compared in order to drive a determination.
</li><li>Transcription: Converting spoken language or audio content into written text.
</li><li>Translation: Converting text or spoken language from one language to another.
</li><li>Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.</li></ul><p></p><p><b><br>
Minimum Qualifications:</b></p><ul><li>
A Bachelor&rsquo;s degree or higher in a <b>humanities specialization</b> is required. Advanced degrees are strongly preferred (Master&rsquo;s or PhD)</li><li>
Professional or Expert level proficiency (C1/C2) in English and Russian</li></ul><p></p><p>
Salary rates at Innodata vary depending on a wide array of factors, which may include but are not limited to the role, skill set, educational background and geographic location.</p><p></p><p><i>
Innodata is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.</i></p><p><i>
Innodata is committed to creating an inclusive environment for all employees and applicants. If you need assistance or accommodation during the application or recruitment process due to a disability, please contact us and we will be happy to assist.</i></p><p><i>
Applicants must be legally authorized to work in the United States at the time of hire. Innodata is unable to provide visa sponsorship now or in the future for this position.</i></p><p></p><p><i>
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission&rsquo;s guide at </i><i>https://consumer.ftc.gov/articles/job-scams</i><i>.</i></p><p></p><p><i><br>
If you believe you&rsquo;ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.</i></p></div><p></p>

Generative AI Specialist - Humanities (English and Russian)

Nishat Chunian Limited

<p>What your typical day will look like</p><ul><li>Implement AI-driven automation for marketing, product recommendations, customer segmentation, and chatbots.</li><li>Optimize Meta &amp; Google Ads, email workflows and SEO using AI tools.</li><li>Improve CVR, AOV, and ROAS through data-driven insights and performance tracking dashboards.</li><li>Ensure seamless data integration between Shopify and ERP systems.</li></ul><p>What you need to succeed at this role</p><ul><li>Bachelor&rsquo;s degree with 2&ndash;3 years&rsquo;relevant experience in Shopify store management with strong AI-driven marketing and automation expertise preferably in scaling D2C e-commerce brands.</li><li>Proficient in data analysis and performance tracking (Google Analytics/Meta Ads Manager) with automation focused problem solving mindset.</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

E-commerce & AI Specialist

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Google Cloud AI Specialist

Google Cloud AI Specialist

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AI Specialist - Content Creation

AI Specialist Intern - Summer 2026

Generative AI Specialist - Humanities (English and Russian)

E-commerce & AI Specialist