coordinator, technology training programs

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coordinator, technology training programs Jobs in New York

data analytics engineer

data engineer intern

ai adoption specialist

ai training machine learning specialist est

Prolific

<div>
 <ul>
  <li>
   ]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="7d8c6042-ac58-4acb-b90b-d08242002c4b" data-testid="conversation-turn-6" data-scroll-anchor="true" data-turn="assistant"&gt;
  </li>
  <li>
   ]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="788a8b78-cfcd-42e1-beb1-30da5949a95d" data-testid="conversation-turn-8" data-scroll-anchor="true" data-turn="assistant"&gt;
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  AI Trainer &ndash; Machine Learning Specialists
  <br/>
  <br/>
 </strong>
 <strong>
  About Prolific
  <br/>
  <br/>
 </strong>
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 <br/>
 <br/>
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 <br/>
 <br/>
 <em>
  The role
  <br/>
  <br/>
 </em>
 We're looking for
 <strong>
  AI Trainer &ndash; Machine Learning Specialists
 </strong>
 to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we'll send you a quick
 <strong>
  10- to 15-minute test
 </strong>
 to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.
 <br/>
 <br/>
 Researchers looking for your skills tend to pay up to
 <strong>
  $150/hr per AI task completed
 </strong>
 . You must be prepared to complete paid tasks that require
 <strong>
  one hour of uninterrupted work
 </strong>
 , though many are shorter.
 <br/>
 <br/>
 What you'll bring
 <br/>
 <br/>
 <ul>
  <li>
   AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
  </li>
  <li>
   A willingness to take our skills verification test to assess your suitability for our participant pool
  </li>
  <li>
   Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
  </li>
  <li>
   A reliable and fast internet connection and access to a computer
  </li>
  <li>
   A willingness to self-declare your earnings, as our participants are self-employed
  </li>
  <li>
   A Paypal account to receive payment from our clients
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  What you'll be doing in the role
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
  </li>
  <li>
   Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
  </li>
  <li>
   Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Key Technologies
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   General AI Training
  </li>
  <li>
   Model Evaluation and Evals
  </li>
  <li>
   Trust and Safety
  </li>
  <li>
   Red Teaming
  </li>
  <li>
   Quality Analytics
  </li>
  <li>
   Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation)
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Why Prolific is a great platform to join as a Participant
  <br/>
  <br/>
 </em>
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 <br/>
 <br/>
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 <br/>
 <br/>
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breath and the best of humanity.
 <br/>
 <br/>
 <em>
  Links to more information on Prolific
  <br/>
  <br/>
 </em>
 Website
 <br/>
 <br/>
 Youtube
 <br/>
 <br/>
 Privacy Statement
 <br/>
 <br/>
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>


AI Training - Machine Learning Specialist (EST)

Tata Consultancy Services (TCS)

<p></p><div><div><div><div><div>AI Specialist
</div><div>Must Have Technical/Functional Skills</div><br>
<div><br>
</div><div>Technical Expertise:</div><br>
<div><br>
</div><ul><li>Proficiency in AI/ML frameworks (TensorFlow, PyTorch), Generative AI models, and NLP techniques,</li></ul><br>
<div><br>
</div><div>Adobe&rsquo; suite of products</div><br>
<div><br>
</div><ul><li>Hands-on experience with cloud AI services (AWS, Azure AI, Google Cloud AI) and tools like GitHub</li></ul><br>
<div><br>
</div><div>Copilot.</div><br>
<div><br>
</div><ul><li>Strong programming skills in Python and familiarity with APIs for integration.</li></ul><br>
<div><br>
</div><div>Domain Knowledge:</div><br>
<div><br>
</div><ul><li>Understanding of digital experience platforms, marketing technology stacks (Adobe, Sitecore,</li></ul><br>
<div><br>
</div><div>Salesforce, etc.), and data ecosystems.</div><br>
<div><br>
</div><ul><li>Exposure to personalization engines, recommendation systems, and conversational AI.</li></ul><div><br>
</div>
<div></div><br>
<div>Roles &amp; Responsibilities</div><br>
<div><br>
</div><div>The AI Specialist will be a key contributor in TCS Interactive&rsquo;s DX Practice, focusing on designing, developing,</div><br>
<div><br>
</div><div>and deploying AI-driven solutions that enhance customer experience, marketing technology, and digital</div><br>
<div><br>
</div><div>transformation initiatives. This role demands strong technical expertise in AI/ML and Generative AI, combined</div><br>
<div><br>
</div><div>with a deep understanding of digital experience platforms and enterprise ecosystems.</div><div><br>
</div>
<div></div><br>
<div>Solution Development:</div><br>
<div><br>
</div><div>&middot; Design and implement AI-powered solutions for personalization, automation, and customer engagement across marketing, commerce, and service channels. &middot; Develop and optimize machine learning models for predictive analytics, recommendation engines, and conversational AI. Innovation &amp; Experimentation: &middot; Drive PoC and MVP-led experimentation for AI use cases in DX, leveraging frameworks &middot; Collaborate with design studios and engineering teams for rapid prototyping and creative AI engineering. Integration &amp; Deployment: &middot; Integrate AI capabilities with enterprise platforms such as Adobe Experience Cloud, AEM, CDP, and marketing automation tools. &middot; Ensure compliance with Responsible AI frameworks, geo-specific regulations, and data privacy standards. Collaboration &amp; Advisory: &middot; Work closely with DX Advisors, Experience Designers, and Martech SMEs to align AI solutions with client objectives. &middot; Participate in client workshops and strategic discussions to position AI capabilities effectively.</div><br>
<div><br>
</div><div>Generic Managerial Skills, If any</div><br>
<div><br>
</div><ul><li>Strong analytical and problem-solving abilities.</li></ul><br>
<div><br>
</div><ul><li>Excellent communication and stakeholder management skills.</li></ul><br>
<div><br>
</div><div>Ability to work independently and in cross-functional teams.
</div><div>Education
</div><div>Bachelor&rsquo;s Degree</div><br>
<div><br>
</div><div>Salary Range: $180,000 - $230,000 a year</div><br>
<div><br>
</div><div>#LI-JH1</div><br>
<div><br>
</div></div></div></div><div><div><div><b>Location</b></div>
<div>New York, NY</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Specialist</div>
</div><div><div><b>Job Id</b></div>
<div>401107</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$180,000-$230,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Specialist -Artificial Intelligence

Stefanini Group

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Stefanini Group is looking for
 <strong>
  AI Engineer - Microsoft 365 Copilot Specialist
 </strong>
 for a globally recognized company!
 <br/>
 <br/>
 For interested applicants, click the apply button or you may reach out to
 <strong>
  Alfher Hidalgo at (248) 728-2627/Alfher.Hidalgo@stefanini.com
 </strong>
 for faster processing. Thank you!
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 We are looking for an AI Engineer who specializes in Microsoft 365 Copilot to help configure and optimize our AI-driven applications. The ideal candidate will have a deep understanding of the M365 platform, its features, and how they integrate seamlessly to enhance user experience. This role requires a professional who can ensure compliance with security protocols while maximizing the potential of AI tools within the organization.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Copilot Configuration:
 </strong>
 Design, configure, and optimize Microsoft 365 Copilot to meet the specific needs of the organization, ensuring smooth integration with existing workflows and applications.
 <br/>
 <br/>
 <strong>
  Feature Integration:
 </strong>
 Collaborate with cross-functional teams to understand how various features within the M365 ecosystem work together, and develop strategies to enhance productivity through AI-driven solutions.
 <br/>
 <br/>
 <strong>
  Security Management:
 </strong>
 Assess and implement security measures related to the use of Copilot, ensuring compliance with organizational policies and industry standards. Stay updated on best practices for data privacy and security in AI applications.
 <br/>
 <br/>
 <strong>
  User Training and Support:
 </strong>
 Develop training materials and conduct workshops to educate team members on how to effectively utilize Copilot features, ensuring user adoption and proficiency.
 <br/>
 <br/>
 <strong>
  Monitoring and Optimization:
 </strong>
 Continuously monitor the performance of AI applications, analyze usage data, and identify opportunities for improvement to enhance functionality and user experience.
 <br/>
 <br/>
 <strong>
  Collaboration:
 </strong>
 Work closely with IT and security teams to address any potential risks associated with AI deployment and implement necessary controls.
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  </li>
  <li>
   Proven experience working with Microsoft 365 Copilot, including configuration and feature integration.
  </li>
  <li>
   Strong understanding of the M365 ecosystem and its applications (e.g., Word, Excel, Teams, SharePoint).
  </li>
  <li>
   Knowledge of AI technologies and frameworks, with a focus on practical applications in a business context.
  </li>
  <li>
   Familiarity with security protocols and best practices related to AI and data handling.
  </li>
  <li>
   Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
  </li>
  <li>
   Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in developing and implementing AI solutions in an enterprise environment.
  </li>
  <li>
   Certifications related to Microsoft technologies (e.g., Microsoft Certified: Azure AI Engineer Associate).
  </li>
  <li>
   Familiarity with machine learning frameworks and tools.
   <br/>
   <br/>
  </li>
 </ul>
</div>


AI Engineer - Microsoft 365 Copilot Specialist

Edurech Technoogy

<p>Job Title: AI / Machine Learning Engineer</p><p>At <b>Edurech Technology</b>, we are redefining education through intelligent, data-driven learning platforms. By leveraging artificial intelligence and machine learning, we build personalized, adaptive, and scalable solutions that enhance learning outcomes for students and educators worldwide. We are looking for a skilled <b>AI / Machine Learning Engineer</b> to help design, build, and deploy intelligent systems that power the future of education.</p><p>Job Summary</p><p>We are seeking a motivated <b>AI / Machine Learning Engineer</b> with <b>2&ndash;6 years of experience</b> to join our on-site team in Tempe. The ideal candidate has strong experience in machine learning, deep learning, and model deployment, along with a passion for solving real-world problems using AI. You will work closely with data scientists, software engineers, and product teams to develop and productionize AI-driven features across our platforms.</p><p>Key Responsibilities</p><p><b>Model Development</b></p><ul><li>Design, build, train, and optimize machine learning and deep learning models for educational use cases such as personalization, recommendation systems, content classification, and student performance prediction.</li></ul><p><b>Data Processing</b></p><ul><li>Clean, preprocess, and analyze structured and unstructured datasets.</li><li>Perform feature engineering to improve model performance.</li></ul><p><b>Deployment &amp; MLOps</b></p><ul><li>Deploy machine learning models into production environments.</li><li>Monitor model performance, data drift, and accuracy, and retrain models as needed.</li></ul><p><b>AI Research &amp; Innovation</b></p><ul><li>Stay current with the latest AI/ML research and technologies.</li><li>Experiment with new algorithms, architectures, and tools to improve system performance.</li></ul><p><b>Collaboration</b></p><ul><li>Work with cross-functional teams including product, backend, and data teams to integrate AI solutions into applications.</li><li>Translate business and product requirements into scalable AI solutions.</li></ul><p><b>Documentation &amp; Improvement</b></p><ul><li>Document model architectures, experiments, and deployment processes.</li><li>Continuously improve AI pipelines, workflows, and system reliability.</li></ul><p>Required Qualifications &amp; Skills</p><p><b>Experience</b></p><ul><li>2&ndash;6 years of professional experience in AI, machine learning, or related roles.</li></ul><p><b>Education</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related quantitative field.</li></ul><p><b>Programming</b></p><ul><li>Strong proficiency in <b>Python</b>.</li><li>Experience with ML/DL frameworks such as <b>TensorFlow, PyTorch, Keras, or Scikit-learn</b>.</li></ul><p><b>Machine Learning Knowledge</b></p><ul><li>Solid understanding of supervised and unsupervised learning, deep learning, and evaluation metrics.</li><li>Experience with NLP, computer vision, or recommendation systems is a plus.</li></ul><p><b>Data &amp; Tools</b></p><ul><li>Experience working with SQL and large datasets.</li><li>Familiarity with data processing libraries such as Pandas, NumPy, and Spark.</li></ul><p><b>Communication</b></p><ul><li>Strong verbal and written communication skills with the ability to explain AI concepts to non-technical stakeholders.</li></ul><p>Preferred Qualifications</p><ul><li>Master&rsquo;s or Ph.D. in AI, Machine Learning, or a related field.</li><li>Experience with cloud platforms (AWS, Azure, or GCP) and cloud-based ML services.</li><li>Familiarity with MLOps tools (MLflow, Kubeflow, Airflow).</li><li>Experience with model versioning, CI/CD, and containerization (Docker, Kubernetes).</li><li>Prior experience in <b>EdTech, SaaS, or large-scale AI systems</b>.</li><li>Proven experience taking AI/ML models from research to production.</li></ul><p>Job Type</p><p><b>Full-time</b></p><p>Benefits</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible schedule</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Professional development assistance</li><li>Relocation assistance</li><li>Tuition reimbursement</li><li>Vision insurance</li></ul><p>Work Location</p><p><b>In person</b></p><p>Job Type: Full-time</p><p>Pay: $101,358.61 - $122,066.28 per year</p><p>Work Location: In person</p>

AI/ML Engineer

Learning and Performance Partner

Bloomberg

<div><div><div><div><div><div>Senior Software Engineer - Artificial Intelligence
</div></div></div></div></div><div><div><div><div><div>Location
</div><div>New York
</div></div><div><div>Business Area
</div><div>Engineering and CTO
</div></div><div><div>Ref #
</div><div>10049807
</div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h2></div></div><div><div><div><div><p>Bloomberg&rsquo;s Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.</p><p></p><p><br>
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.</p><p></p><p><br>
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.</p><p><br>
Our engineers are responsible for architecting and implementing machine learning systems end-to-end, overcoming unique challenges that come with such systems in the financial domain. Some projects where we are looking for experienced software engineers include unified search, question answering, query parsing, financial instrument (e.g., fixed income) pricing, dialogue understanding.<br>
<br>
</p><p><br>
<b>Join the AI Group as a Senior Software Engineer and you will have the opportunity to:</b></p><br>
<ul>
<li>Collaborate with colleagues on production machine learning systems and applications</li>
<li>Design, experiment, and evaluate software systems</li>
<li>Write, test, and maintain production-quality code</li>
<li>Represent Bloomberg at conferences and open-source communities</li>
<li>Demonstrate technical leadership by owning cross-team projects</li>
<li>Build the libraries and frameworks that support fault tolerant and testable systems</li>
</ul>
<h3 class="jobSectionHeader"><br>
<b>We are looking for a Senior Software Engineer with:</b><br>
<b>
</b></h3><ul><li>7+ years of experience working with an object-oriented programming language (C/C++, Python, Java, etc.)</li>
<li>A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience</li>
<li>An understanding of Computer Science fundamentals such as data structures and algorithms</li>
<li>An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management</li>
</ul></div></div><div><div><div>Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus</div><div><br>
<div><br>
</div><div>The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.<div><br>
<br>
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.<br>
</div></div></div></div></div><div><div>Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.</div></div></div></div></div></div>

Senior Software Engineer - Artificial Intelligence

Andiamo

<div>
 Senior Technical Recruiter
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 We are building the infrastructure layer for modern AI. Our cloud platform enables companies to train, deploy, and run large scale AI models faster, more efficiently, and at massive scale.
 <br/>
 <br/>
 With more than $200M in funding and rapid customer adoption, we are helping define the next generation of AI infrastructure. Our platform powers teams building advanced machine learning systems across industries ranging from autonomous systems to enterprise software.
 <br/>
 <br/>
 We are growing quickly and assembling a world class team of engineers, researchers, and builders who are passionate about pushing technology forward.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for an exceptional Senior Technical Recruiter to help build the teams powering our next phase of growth.
 <br/>
 <br/>
 You will own full cycle recruiting for highly technical roles across engineering, infrastructure, and machine learning. You will partner closely with hiring managers and engineering leadership while driving sourcing strategies that consistently attract elite technical talent.
 <br/>
 <br/>
 This role requires someone who thrives in competitive markets, builds strong relationships with passive candidates, and takes pride in delivering exceptional candidate experiences.
 <br/>
 <br/>
 What You Will Do
 <br/>
 <br/>
 <ul>
  <li>
   Own full cycle recruiting for technical roles including distributed systems engineering, machine learning infrastructure, platform engineering, and related disciplines.
  </li>
  <li>
   Develop and execute sourcing strategies to engage highly sought after technical candidates through outbound sourcing, research, referrals, and network development.
  </li>
  <li>
   Partner closely with engineering leaders and hiring managers to deeply understand team needs and role requirements.
  </li>
  <li>
   Screen and evaluate candidates while maintaining a high technical bar and strong candidate experience.
  </li>
  <li>
   Manage and nurture relationships with senior level and passive candidates across the AI and infrastructure ecosystem.
  </li>
  <li>
   Drive efficient hiring processes from initial outreach through offer negotiation and closing.
  </li>
  <li>
   Help refine and improve recruiting processes as the company continues to scale.
   <br/>
   <br/>
  </li>
 </ul>
 What Makes You Successful In This Role
 <br/>
 <br/>
 <ul>
  <li>
   5 or more years of full cycle recruiting experience with a strong focus on technical hiring.
  </li>
  <li>
   Experience recruiting engineers in areas such as distributed systems, infrastructure, machine learning, or AI platforms.
  </li>
  <li>
   Track record of sourcing and closing highly competitive technical candidates.
  </li>
  <li>
   Ability to understand complex technical roles and communicate credibly with engineering leaders.
  </li>
  <li>
   Strong relationship builder who develops trust with candidates and hiring managers.
  </li>
  <li>
   Highly organized with strong prioritization and execution skills in fast moving environments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation &amp; Benefits
  <br/>
  <br/>
 </strong>
 We offer competitive compensation including base salary and equity. Benefits include health coverage, flexible vacation, retirement plans, and additional perks that support employee wellbeing and growth.
 <br/>
 <br/>
 <strong>
  About Andiamo
  <br/>
  <br/>
 </strong>
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 <br/>
 <br/>
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 <br/>
 <br/>
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>


Senior Talent Acquisition Specialist

Explore 1319+ Ai training machine learning specialist est in New York this March. Find roles across top companies and apply now to boost your career.