ai intern

GamblingCareers.com

<div>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 Are you someone who knows how to build AI bots and dreams about automating the world? Fanatics wants you.
 <br/>
 <br/>
 We&rsquo;re looking for an
 <strong>
  AI Intern
 </strong>
 ready to jump in 20+ hours a week, help us strategize, and most importantly,
 <strong>
  execute
 </strong>
 . Got ideas about how AI can make life easier or better? Perfect. You won&rsquo;t just pitch ideas&mdash;you&rsquo;ll work alongside business leaders to create new AI processes, and test whether bots can automate tasks that currently eat up time.
 <br/>
 <br/>
 If you&rsquo;re technical enough to build bots and visionary enough to spot opportunities, this is your chance to shine.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with key business stakeholders to build AI bots and experiment with innovative automation ideas, leveraging ChatGPT and custom GPTs while also exploring other AI/ML tools.
  </li>
  <li>
   Help shape AI strategy alongside a smart, fast-moving team.
  </li>
  <li>
   Put your ideas into action &mdash; define problems, design solutions, and create applications that prove the concept.
  </li>
  <li>
   Ask the tough questions: Can AI automate this task? What&rsquo;s the right process? How do we make it work?
  </li>
  <li>
   Spend about 20 hours a week learning, building, and delivering real projects that move the needle.
  </li>
  <li>
   Be willing (and encouraged) to come up with your own AI ideas &mdash; this internship is as much about your creativity as your coding chops.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We're Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Intermediate experience building AI bots or working with AI/ML tools, including experience creating custom GPTs to solve domain-specific problems.
  </li>
  <li>
   Ability to think strategically AND roll up your sleeves to execute.
  </li>
  <li>
   Passion for building new processes and automating boring stuff.
  </li>
  <li>
   Strong communication skills &mdash; because explaining your AI magic is just as important as writing it.
  </li>
  <li>
   Curiosity and a &ldquo;get it done&rdquo; attitude.
  </li>
  <li>
   Bonus points if you&rsquo;re a fan of sports, collectibles, or fandom culture (because we&rsquo;re a little obsessed).
  </li>
  <li>
   Candidate must be based in NYC and able to work minimum 20 hours/week in our West Village office.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why You&rsquo;ll Love It Here
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Real responsibility on real projects &mdash; no busywork here.
  </li>
  <li>
   Work alongside folks who love sports, tech, and collecting as much as you do.
  </li>
  <li>
   Mentorship from experienced professionals who want to see you succeed.
  </li>
  <li>
   Competitive pay and maybe some sweet Fanatics swag.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Final Word
  <br/>
  <br/>
 </strong>
 If you&rsquo;re ready to build bots, drive strategy, and make AI magic happen in the world of sports and collectibles &mdash; let&rsquo;s talk. This internship is where your ideas get wings.
 <br/>
 <br/>
 The hourly range for this position is
 <strong>
  $25 to $30
 </strong>
 , which represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training.
</div>


AI Intern

Openkyber

<div><p>Hi, This is OpenKyber from OpenKyber. We have an opportunity with one of our direct clients, and I'd like to share the details with you. Please review the information below and let me know if you're interested. Kindly share your updated resume if you'd like to be considered.</p>
<p>Job Title: Generative AI Architect Location: Montvale, NJ (Hybrid onsite)</p>
<p>Job Overview: We are seeking an AI Architect specializing in Generative AI and Large Language Models (LLMs) to help design, deploy, and scale AI solutions for enterprise clients. This role requires deep expertise in machine learning and data science , particularly in the design, evaluation, and operationalization of modern language models and generative AI systems . The AI Architect will work closely with engineering teams and client stakeholders to translate cutting-edge AI capabilities into reliable production systems , while ensuring governance, transparency, and responsible AI practices . The ideal candidate combines technical depth, research awareness, and strong communication skills , enabling them to represent our company confidently in front of senior client stakeholders. This is a full-time, in-office role , with some days at client and direct engagement with enterprise teams.</p>
<p>Required Qualifications Master's degree in Data Science, Machine Learning, Computer Science, or related field . Strong expertise in machine learning fundamentals and modern generative AI technologies . Proven experience designing and deploying AI/ML systems in production environments . Deep knowledge of: Large Language Models Generative AI architectures ML pipelines and model lifecycle management Experience working with AI frameworks and ecosystems used for building GenAI applications . Experience implementing AI governance, explainability, and responsible AI practices . Strong understanding of enterprise software architecture and distributed systems .</p>
<p>Preferred Qualifications Experience with agentic AI systems and orchestration frameworks . Experience building RAG-based AI systems . Familiarity with AI platform engineering and scalable AI infrastructure . Contributions to AI research, open-source projects, or technical publications . Experience working with enterprise clients in regulated industries .</p>
<p>Key Skills Technical Skills Machine Learning &amp; Data Science Large Language Models (LLMs) Generative AI systems AI agents and agentic architectures MLOps and model lifecycle management AI governance and explainability Professional Skills Strong analytical and problem-solving capabilities Excellent communication and presentation skills Ability to simplify complex AI concepts for diverse audiences Collaborative mindset and ability to work effectively within teams Client-facing professionalism and credibility Work Environment Full-time in-office role with collaboration across engineering and client teams. Weekly client visits for workshops, architecture discussions, and solution design sessions . High collaboration with data scientists, engineers, architects, and business stakeholders .</p>
<p>What Success Looks Like in This Role Successfully architect and deliver production-grade AI systems . Become a trusted AI advisor to both internal teams and client stakeholders. Ensure responsible and governed adoption of AI technologies . Help organizations translate GenAI innovation into real operational value .</p>
<p>Educational Qualifications: Required - Bachelor's degree in Computer Science, Information Technology, Computer Engineering or closely related or equivalent. Preferred - Master's degree in Management Information Systems (MIS), Computer Science, Big Data or Analytics or equivalent.</p>
<p>Travel: Open to travel based-up on the nature of the engagement.</p>
<p>Thanks &amp; Regards OpenKyber Resource Manager (w): (E): 2260 Haggerty Road, Suite 285 Northville, MI 48167</p>
<p>Equal Employment Opportunity OpenKyber employment does not discriminate on the basis of race, religion, gender, sexual orientation, age or any other basis as covered by federal, state, or local law. Employment decisions are based solely on qualifications, merit and business needs.</p>
<p><b>For applications and inquiries, contact:</b> hirings@openkyber.com</p></div>

Generative AI Intern

<div><b>Role:</b> GenAI Engineer Locations: Alpharetta, GA (Hybrid Onsite) Duration: 12+ Months Contract F2F Interview MUST Note: Candidate needs to be in the office 3-4 Days every week. Local or candidates from adjacent states only.<br>
<b>Role Overview:</b> Candidates must have experience delivering enterprise AI solutions in production environments (NOT only POC or personal projects/ Educational Projects) We are seeking a Senior GenAI Engineer with strong experience in machine learning, generative AI and enterprise scale AI platform development. The ideal candidate should have hands-on experience building production grade AI systems including Retrieval Augmented Generation (RAG) platforms, vector search pipelines, autonomous AI agents and scalable ML model deployment. The role requires expertise in Python based ML development, LLM frameworks, vector databases and AI orchestration frameworks such as LangChain, LangGraph and Hugging Face.<br>
<b>Required Skills:</b> Experience with enterprise level projects only. Strong Python development experience 7 years. Hands-on experience with RAG Vector, DB Embeddings and document chunking, Semantic search pipelines. Experience with LangChain, LangGraph and Hugging Face. Experience with Pandas, NumPy and data preprocessing pipelines. Experience deploying ML models as REST APIs and integrating AI with enterprise systems.<br>
<b>Preferred Skills:</b> Experience with Natural Language Processing NLP and Deep Learning Familiarity with Transformers and Large Language Models LLMs Experience with Cloud ML platforms such as Azure AI, AWS SageMaker, etc.<br>
<b>Nice to Have:</b> Experience building AI agents or autonomous systems. Knowledge of vector databases Pinecone Weaviate Milvus FAISS. Experience with MLOps practices Docker and Kubernetes. Exposure to multimodal AI systems.<br>
<b>In compliance with the salary transparency law, the expected pay range for this role is $57.00 $62.00/hr. Actual compensation depends on experience and interview evaluation.</b>
<p><b>For applications and inquiries, contact:</b> hirings@openkyber.com</p></div>

<div><p>Position Summary Looking for a strong Gen AI architect and hands on engineer who can work on advanced AWS Novasonic models for Conversational AI. this persons/s will directly report to me. Prefer Contract to hire. seeking onshore if you can look in Charlotte with banking expertise.</p>
<b>Required Skillset Resume Search Keywords (Short &amp; Strong):</b>
<p><b>Core GenAI &amp; LLM Skills</b><br>
Hands on expertise with Amazon Nova / Nova 2 foundation models on Amazon Bedrock, including multimodal and high reasoning variants. Experience customizing or fine tuning LLMs using Bedrock + SageMaker SFT pipelines. Strong LLM prompt engineering, optimization, prompt routing, and evaluation skills. Conversational AI (Chat + Voice)</p>
<p>Proven ability designing and building conversational agents with Amazon Lex V2 (Assisted NLU, multi turn dialogs, analytics). Hands on integration of Lex with Amazon Connect for IVR/voice bots and contact center automation.</p>
<p>Experience leveraging Bedrock Knowledge Bases to enable Retrieval Augmented Generation (RAG) for grounded responses.</p>
<p><b>Bedrock Agents / Agentic Systems</b><br>
Experience building Amazon Bedrock Agents with ReAct planning or custom orchestration strategies. Ability to configure action groups (API schema + Lambda functions) and design multi step task workflows. Understanding of Bedrock AgentCore for deterministic policy enforcement and safe autonomous execution.</p>
<p><b>Governance, Safety &amp; Security</b><br>
Implementation of Amazon Bedrock Guardrails , including harmful content filtering, denied topics, PII redaction, and grounding checks. Knowledge of AI governance for regulated industries (banking/finance), including safety policies and audit controls. Strong IAM, encryption, data isolation, and compliance patterns for enterprise AI.</p>
<p><b>RAG, Data &amp; Integrations</b><br>
Building RAG systems using Bedrock Knowledge Bases (document ingestion, chunking, embedding. Integrations using AWS Lambda, API Gateway, DynamoDB, S3, and event driven patterns to support conversational flows. Experience optimizing LLM latency and cost via model selection, caching, and cross region inference.</p>
<p>Experience with Connect + Lex + Bedrock Agent architectures for real time voice assistants. Understanding of near real time conversational patterns informed by Nova powered speech capabilities.</p>
<p><b>Operational Excellence (MLOps / LLMOps)</b><br>
Strong skills in LLM evaluation, monitoring, telemetry, and continuous quality measurement. Experience with Lex Analytics dashboards for intent/slot performance. Ability to version prompts, guardrails, agent instructions, and model configs.</p>
<p><b>Optional Search Keywords (Good-to-Have)</b><br>
&quot;Bedrock Agents custom orchestration&quot; &quot;Lex V2 Assisted NLU / QnAIntent generative AI&quot; &quot;Nova 2 reasoning model experience&quot; &quot;Amazon Connect AI integration&quot; &quot;AgentCore policy enforcement / governance&quot; &quot;Multi-agent orchestration frameworks&quot;</p>
<p><b>For applications and inquiries, contact:</b> hirings@openkyber.com</p></div>

S&P Global

<b>About the Role:</b><br>
<b>Grade Level (for internal use):</b> 05 About the Role
<br>We are looking for a motivated and technically curious Data & AI Intern to join our team. This role provides hands-on exposure to data integration, data analysis, data engineering, and applied AI , working alongside experienced professionals on real-world data platforms and pipelines.
<br>This internship is ideal for candidates who want practical experience in modern data and AI ecosystems while working in a fast-paced, production-oriented environment. Key Responsibilities
<br>Assist in data integration from multiple internal and external data sources
<br>Support development and maintenance of ETL/ELT pipelines
<br>Perform data analysis to generate insights and support decision-making
<br>Work with structured and semi-structured datasets for data engineering tasks
<br>Contribute to AI/ML-related initiatives , including data preparation and experimentation
<br>Collaborate with cross-functional teams to understand data requirements
<br>Document workflows, data models, and processes
<br>Follow best practices in data quality, security, and performance optimization Required Qualifications
<br>Currently enrolled in or recently completed a Bachelor’s or Master’s degree in:
<br>Computer Science
<br>Software Engineering
<br>Data Science
<br>or a related field
<br><br>
<b>Strong understanding of:</b><br>
Databases and SQL
<br>Basic data structures and algorithms
<br>Willingness and ability to work night shift hours
<br>Availability to work from the office twice a week
<br>Good problem-solving and analytical skills
<br>Strong communication and documentation abilities Preferred Skills (Nice to Have)
<br><br>
<b>Experience with:</b><br>
Python, SQL, or similar programming languages
<br>Data pipelines, APIs, or cloud data platforms
<br>BI tools or data visualization libraries
<br><br>
<b>Basic understanding of:</b><br>
Machine Learning or AI concepts
<br>Data warehousing and analytics workflows What You’ll Gain
<br>Hands-on experience with real-world data and AI systems
<br>Exposure to modern data engineering and analytics stacks
<br>Mentorship from experienced data and AI professionals
<br>Opportunity to build a strong foundation for a career in Data Engineering, Analytics, or AI
<br><br>
What’s In It For You?
<br><br>
<b>Our Mission:</b><br>
Advancing Essential Intelligence.
<br><br>
<b>Our People:</b><br>
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
<br><br>
<b>Our Values:</b><br>
Integrity, Discovery, Partnership
<br><br>
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
<br><br>
<b>Benefits:</b><br>
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
<br><br>
<b>Our benefits include:</b><br>
<b>Health & Wellness:</b> Health care coverage designed for the mind and body.
<br><br>
<b>Flexible Downtime:</b> Generous time off helps keep you energized for your time on.
<br><br>
<b>Continuous Learning:</b> Access a wealth of resources to grow your career and learn valuable new skills.
<br><br>
<b>Invest in Your Future:</b> Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
<br><br>
<b>Family Friendly Perks:</b> It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
<br><br>
<b>Beyond the Basics:</b> From retail discounts to referral incentive awards—small perks can make a big difference.
<br><b>For more information on benefits by country visit:</b> https://spgbenefits.com/benefit-summaries
<br><br>
<b>Global Hiring and Opportunity at S&P Global:</b><br>
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
<br><br>
<b>Recruitment Fraud Alert:</b><br>
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here .
<br><br>
-----------------------------------------------------------
<br><br>
Equal Opportunity Employer
<br>S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
<br><br>
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
<br><br>
<b>US Candidates Only:</b> Know Your Rights: Workplace discrimination is illegal
<br>----------------------------------------------------------- 203 - Entry Professional (EEO Job Group) (inactive), 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH203 - Entry Professional (EEO Job Group)
<br><br>
<b>Job ID:</b> 325999
<br><b>Posted On:</b> 2026-03-11
<br><b>Location:</b> Islamabad, Pakistan

Data & AI Intern (Data Integration, Analytics & Engineering)

PCBB

<div><div><p><b>Department:</b> Marketing<br>
<b>Location:</b> Remote<br>
<b>Reports To:</b> Chief Marketing Officer and UX/UI Lead<br>
</p></div><div><div><div><b>Salary: </b>Minimum Wage- $20 an hour<br>
<br>
This internship will give you hands‑on experience applying AI tools and frameworks to real banking use cases, including chatbot evaluation and financial risk/process automation. You will lead two core projects from discovery through recommendations or prototype, giving you ownership, visibility, and exposure to senior leaders.</div><div><b>
Description of Job Duties:</b></div><div>
We are looking for a highly motivated, analytical, and curious intern with a strong interest in AI, software tools, and structured research. While you do not need to be a professional software engineer, you should be comfortable with technical concepts, experimenting with AI platforms to build an AI agent or app generated by AI, and researching various technology options for the Marketing team. Besides these two main projects, you might have the chance to contribute to other Marketing tasks that fit in between these two projects.</div><div><b>
1.</b> <b>Research new chatbot vendor</b></div><ul><li>
Interview marketing team member to identify our current and future needs for a website chatbot (use cases, compliance considerations, security, integrations, and support model).</li><li>
Research and compare chatbot vendors and platforms using vendor documentation, requesting vendor demos, and gathering customer reviews.</li><li>
Prepare a structured comparison (e.g., matrix or scorecard) that compares the various vendor&rsquo;s chatbot features, ease of integration, data privacy/security controls, analytics and reporting, customization capabilities, training options, and overall cost/value.</li><li>
Setup and run a trial version of the Chatbot(s) in a sandbox environment.</li><li>
Make a recommendation supported by all the facts and evidence.</li></ul><div><b>
2.</b> <b>Develop an AI Agent a Marketing deliverable easily</b></div><ul><li>
Interview marketing team members about our deliverable that we would like to use AI to generate each month. Focus on current and future needs for this report, document the process, what data is used or want to use in the future, what the report deliverable looks like.</li><li>
Utilize AI tools (e.g., code‑generation assistants, low‑code/no‑code AI agents, prompt‑based &ldquo;copilots&rdquo;) that will create an AI-agent (low code or no code) to design a prototype of an AI Agent that can be activated each month easily and reliably.</li><li>
 Document the Agent&rsquo;s design, assumptions, workflow, and risks, and provide guidance for how PCBB could maintain and enhance it after the internship ends.</li></ul><div><b>
Education/Experience Requirements:</b></div><ul><li>
Preference to college student working toward a degree in Computer Science, Data Science, Information Systems, Business Analytics, Economics, Engineering, or a related quantitative or technical field (or equivalent experience).</li><li>
Familiarity with AI tools, chatbots, or AI powered assistants; experience experimenting with platforms like ChatGPT, Claude, Gemini, or similar tools is a plus.</li><li>
Comfort reading and, ideally, writing basic code or scripts (Python, JavaScript, or another language) or using low code/no code automation tools is a plus.</li><li>
Strong research skills: ability to find and digest technical documentation, compare multiple solutions, and synthesize findings into concise recommendations.</li><li>
Strong communication skills.</li><li>
Ability to manage multiple tasks and meet deadlines in a fast-paced environment</li><li>
Ability to work independently</li></ul><div><b>
Benefits</b></div><ul><li>
Paid internship</li><li>
Opportunity to learn more about Marketing and the technology that this team utilizes</li><li>
Chance to learn and grow in your career</li><li>
Casual and fun work environment</li><li>
Opportunities to meet with Senior Leadership in a weekly setting for the opportunity to learn more about banking and technology industry</li></ul>
</div><h3 class="jobSectionHeader"><b>Physical Demands/Work Environment:</b></h3>
<p>The physical demands/work environment described here is a representation of what must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to stand or sit; use hands/arms/fingers to handle, feel or reach, talk/hear, position self to move and have visual acuity to determine accuracy, neatness, and thoroughness of the work assigned. The employee may be required to lift and /or move up to 25 pounds. The noise level in the work environment is usually moderate.
</p></div><div></div><div><div><div><div><h2 class="jobSectionHeader"><b>To Apply</b></h2><p></p>
Email Human Resources
<p>PCBB is an equal opportunity employer and will consider qualified applicants for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, religious creed, disability (mental and physical), medical condition, genetic information, age, marital status, sexual orientation, military and veteran status, or any other characteristics protected by federal, state or local law.</p></div></div></div></div></div>

AI & Research Intern

Waters

<div>Overview:
<div>
Waters Corporation is always looking to hire outstanding future talent for our company. The Transformation Department is looking to hire an AI Engineering Intern out of our Milford Massachusetts site. This internship is a phenomenal opportunity to gain real-world experience while working at the world's leading specialty measurement company. This internship will last approximately 10-12 weeks, and the program will commence in the summer of 2026.</div><div>
Waters are laser focused on:</div><div></div><div><b><br>
Groundbreaking Life-Science Innovation:</b> With our scientific expertise, we aim to solve problems that matter. We develop innovative analytical technologies to catalyze groundbreaking advancements in drug discovery, propel clinical development, and ensure the safety and quality of both small and large molecule therapies, including novel modalities such as Cell &amp; Gene Therapy and mRNA.</div><div></div><div><b><br>
Diversity, Equity and Inclusion:</b> Our people are paramount in enabling us to solve problems that matter. Waters are committed to fostering a diverse and inclusive workplace that is representative of the societies we live in. Our approach to Diversity, Equity, and Inclusion (DEI) is designed to shift attitudes, foster inclusive behaviors, and encourage increased representation of employees with diverse backgrounds.</div><div></div><div><b><br>
Global Impact: </b>With operations in over 35 countries and a global team of around 7,600 employees, our work goes beyond life sciences. We contribute to ensuring the safety of food and water, such as precise PFAS measurements, and advancing new materials and technology, including batteries for electric vehicles.</div><br>
<div></div>
Responsibilities:
<ul><li>Collaborate with data scientists, engineers, and process analysts to develop and implement Machine Learning, Optimization, or Agentic AI solutions</li><li>
Assist with data collection, cleaning, and exploratory analysis</li><li>
Write clean, well‑documented, and testable code in Python</li><li>
Present findings and results to technical and non‑technical stakeholder</li></ul>
Qualifications:
<div>
At Waters, we view the internship program as a mutually beneficial opportunity designed to equip students with real world experience, while learning from industry leaders in their functional area of choice. Our goal is that an internship at Waters will enable you to build your network as an early career professional, fast tracking your future career prospects and setting you up for success in the job market. A few key attributes we are seeking in intern candidates include:</div><div></div><div><b><br>
Curiosity:</b> Individuals across the organization are passionate about working with and developing students who have a passion for their subject area and a knack for problem solving.
</div><div><b>Courage:</b> We admire individuals who challenge the status quo, take on leadership roles, and embrace challenges outside their comfort zones.</div><div><b>
Compassion:</b> We expect our team members to embody empathy in their work, fostering ethical professionalism, collaboration, active listening, and a commitment to continuous learning and growth.</div><div></div><div><b><br>
Qualifications specific to this role:</b></div><ul><li>
Currently pursuing a Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Engineering, Statistics, or a related field</li><li>
Working knowledge of Python and understanding of SQL</li><li>
Coursework or hands‑on experience with machine learning or AI other concepts</li><li>
Familiarity with libraries such as NumPy, Pandas, scikit‑learn, PyTorch, or TensorFlow</li><li>
Ability to communicate ideas clearly and work collaboratively in a team environment</li></ul><div></div><div><b><i><br>
If you would like to learn more about student opportunities, click </i></b><b><i>here</i></b></div><div><b><i>
Click </i></b><b><i>here</i></b><b><i> to learn more about our Diversity and Inclusion commitment where we have the highest score of 100% rating on the 2022 Corporate Index, CEI, the annual scorecard for LGBTQ+ workplace equality</i></b></div>
Company Description:
<div>
Waters Corporation (NYSE:WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.</div><div></div><div><i><br>
Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.</i></div><br>
Key Words: AI, Artificial Intelligence, Agentic, Data Science, Python, SQL, Machine Learning</div>

AI Engineer Intern

Search 8405+ Ai intern jobs near you this March. New roles added regularly across leading industries. Apply today.

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