ai/ml intern

FiveRivers Technologies

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>02/16/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Industry</p>
<div><b>IT Services</b><b>
</b></div></div><div><p>City</p>
<div><b>Lahore</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Punjab</b><b>
</b></div></div><div><p>Country</p>
<div><b>Pakistan</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>54000</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p><b>FiveRivers Technologies</b> is seeking passionate and driven AI/ML Interns to work alongside our AI team on cutting-edge Artificial Intelligence and Machine Learning projects across multiple industries. This internship provides comprehensive AI/ML training and hands-on exposure to modern real-world AI Engineering.</p><div></div><h4 class="jobSectionHeader"><b><br>
Responsibilities</b></h4><ul><li>
Assist the team in ongoing real-world AI/ML projects.</li></ul><ul><li><p><br>
Undergo rigorous training related to different areas of AI/ML.</p></li></ul><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><ul><li><p>
BS graduate or final year student in CS, SE, IT, EE, DS, AI or relevant field.</p></li><li><p><br>
Good Python programming, problem solving and algorithm design skills.</p></li><li><p><br>
Passion and aptitude for the Artificial Intelligence field.</p></li><li><p><br>
Knowledge and experience related to Data Wrangling, Data Analysis and Data Visualization using Pandas, SQL, NumPy and Matplotlib.</p></li><li><p><br>
Knowledge and experience of Machine Learning and Deep Learning using SciKit-Learn, PyTorch, TensorFlow and Huggingface.</p></li><li><p><br>
Fundamental knowledge of Computer Vision and Natural Language Processing problems and techniques, with hands-on experience in at least one.</p></li><li><p><br>
Experience in building Generative AI and LLM based applications.</p></li><li><p><br>
Experience working on Agentic AI, RAG, Vector DBs and MCP using frameworks like LangChain, LangGraph and AutoGen, would be a plus.</p></li><li><p><br>
Experience with AI Engineering and AI project deployment using tools like FastAPI and Docker, would be a plus.</p></li><li><p><br>
Candidates with Final-Year Project, elective courses, online courses and personal projects related to AI and ML would be preferred.</p></li><li><p><br>
Having exposure to the breadth of the AI field and staying up to date with the latest AI advancements.</p></li></ul><div><ul><li><p><br>
Student or recent graduate in Computer Science, IT, Data Science, or related field.</p></li><li><p><br>
Basic knowledge of Python programming.</p></li><li><p><br>
Understanding of simple machine learning concepts is a plus.</p></li><li><p><br>
Willingness to learn and work in a team.</p></li><li><p><br>
Good problem-solving attitude.</p></li></ul></div></div></div></div><p></p>

AI/ML Intern

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>02/16/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Industry</p>
<div><b>IT Services</b><b>
</b></div></div><div><p>City</p>
<div><b>Lahore</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Punjab</b><b>
</b></div></div><div><p>Country</p>
<div><b>Pakistan</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>54000</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p><b>FiveRivers Technologies</b> is seeking passionate and driven AI/ML Interns to work alongside our AI team on cutting-edge Artificial Intelligence and Machine Learning projects across multiple industries. This internship provides comprehensive AI/ML training and hands-on exposure to modern real-world AI Engineering.</p><div></div><p><b><br>
Responsibilities</b></p><ul><li><p><br>
Assist the team in ongoing real-world AI/ML projects.</p></li><li><p><br>
Undergo rigorous training related to different areas of AI/ML.</p></li></ul><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><ul><li><p>
BS graduate or final year student in CS, SE, IT, EE, DS, AI or relevant field.</p></li><li><p><br>
Good Python programming, problem solving and algorithm design skills.</p></li><li><p><br>
Passion and aptitude for the Artificial Intelligence field.</p></li><li><p><br>
Knowledge and experience related to Data Wrangling, Data Analysis and Data Visualization using Pandas, SQL, NumPy and Matplotlib.</p></li><li><p><br>
Knowledge and experience of Machine Learning and Deep Learning using SciKit-Learn, PyTorch, TensorFlow and Huggingface.</p></li><li><p><br>
Fundamental knowledge of Computer Vision and Natural Language Processing problems and techniques, with hands-on experience in at least one.</p></li><li><p><br>
Experience in building Generative AI and LLM based applications.</p></li><li><p><br>
Experience working on Agentic AI, RAG, Vector DBs and MCP using frameworks like LangChain, LangGraph and AutoGen, would be a plus.</p></li><li><p><br>
Experience with AI Engineering and AI project deployment using tools like FastAPI and Docker, would be a plus.</p></li><li><p><br>
Candidates with Final-Year Project, elective courses, online courses and personal projects related to AI and ML would be preferred.</p></li><li><p><br>
Having exposure to the breadth of the AI field and staying up to date with the latest AI advancements.</p></li></ul><p></p><div><b><br>
Location:</b> Business Hub, DHA phase 8, Lahore</div></div></div></div><p></p>

AI/ML Intern_02

Ensora Health

<p></p><div><p>Ensora Health is the leading provider of software and services for mental and behavioral health therapists, trusted by over 200,000 individual providers and more than 28,000 practices. Our unmatched expertise, partnership, and breadth of products allow us to fine-tune solutions that meet the specific needs of everyone from solo practitioners to larger practices. With AI-enabled solutions that span practice management to electronic medical records and e-prescribing to billing, we help eliminate administrative complexity and create harmony between therapists, their clients, and the whole healthcare community.</p><p></p><p><b>
Job Description</b></p><div><div>
We are looking for a motivated AI/ML Intern to join Ensora Health&rsquo;s technology team and work on cutting‑edge projects involving Generative AI, AI agents, document analysis, and Retrieval‑Augmented Generation (RAG) systems. Over the course of this 10‑week, full‑time summer internship, you&rsquo;ll gain hands‑on experience building prototypes, exploring emerging technologies, and contributing to real‑world AI solutions that support mental health care technology and our customers.</div><p></p><h3 class="jobSectionHeader"><b>
Must haves:
</b></h3><ul><li><h3 class="jobSectionHeader"><b>Must be a current college student in undergrad (junior or senior) or grad school.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Close proximity to Orlando, FL.</b></h3></li></ul><p></p><h3 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h3><ul><li><b>
Research &amp; exploration</b><ul><li>
Investigate state‑of‑the‑art techniques in large language models (LLMs), AI agents, and orchestration frameworks such as LangChain and LlamaIndex.</li></ul></li><li><b>
Prototype development</b><ul><li>
Assist in designing and building proof‑of‑concept models for AI‑driven workflows, document analysis, and knowledge retrieval systems.</li></ul></li><li><b>
Data preparation</b><ul><li>
Clean, preprocess, and structure datasets for model training, fine‑tuning, and evaluation across different AI use cases.</li></ul></li><li><b>
Testing &amp; quality assurance</b><ul><li>
Validate model outputs, perform error analysis, and help define and track quality benchmarks for accuracy, latency, and reliability.</li></ul></li><li><b>
Documentation &amp; collaboration</b><ul><li>
Prepare clear technical documentation for workflows, APIs, and integration steps to support handoffs to engineering and product teams.</li></ul></li><li><b>
Performance evaluation &amp; reporting</b><ul><li>
Benchmark models for accuracy, latency, scalability, and cost; summarize findings and recommendations in concise reports.</li></ul></li></ul><div></div><div><b>
Examples of projects you may work on during the 10‑week internship:</b></div><ul><li>
Developing a functional AI agent prototype to streamline internal workflows and knowledge access.</li><li>
Building a RAG‑based system that uses vector databases for intelligent, context‑aware knowledge retrieval.</li><li>
Implementing a document analysis pipeline to extract structured data from healthcare documents.</li><li>
Delivering prototypes, documentation, and performance reports for assigned AI use cases.</li></ul><h3 class="jobSectionHeader"><b>
What You Bring</b></h3><div><b>
Education &amp; background</b></div><ul><li>
Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence / Machine Learning, Software Engineering, Statistics, Applied Mathematics, Health Informatics, or a related field (or equivalent practical experience).</li></ul><div></div><div><b>
Technical skills</b></div><ul><li>
Proficiency in Python and familiarity with common ML/DL frameworks (e.g., PyTorch, TensorFlow).</li><li>
Basic understanding of LLMs and NLP concepts (tokenization, embeddings, prompts, evaluation).</li><li>
Working knowledge of SQL and data handling (ideally PostgreSQL or similar).</li></ul><div></div><div><b>
Nice‑to‑have experience</b></div><ul><li>
Exposure to LangChain, LlamaIndex, or other AI orchestration frameworks.</li><li>
Experience with vector databases and RAG patterns.</li><li>
Familiarity with cloud AI services such as Azure OpenAI, AWS Bedrock, or GCP Vertex AI.</li></ul><div></div><div><b>
Mindset &amp; soft skills</b></div><ul><li>
Strong curiosity about AI/ML and enthusiasm for experimenting with new tools and techniques.</li><li>
Comfort working with data, running experiments, and iterating based on results.</li><li>
Ability to document work clearly, collaborate with others, and ask thoughtful questions.</li><li>
Interest in healthcare data workflows and learning about compliance considerations (e.g., HIPAA).</li></ul></div><div><h2 class="jobSectionHeader"><b>
Additional Information</b></h2></div><p></p><div><p>
While we've outlined some key qualities we typically seek, it's essential to remember that there might be additional unique strengths and talents you possess that would make you an exceptional match for us, even if they're not explicitly mentioned. Studies have consistently highlighted the significance of this principle, particularly for individuals from disenfranchised backgrounds, including women and other marginalized groups. These individuals often hesitate to apply unless they meet every single requirement, unlike their male counterparts who are more inclined to apply when they meet around 60% of the criteria.</p><p></p><p>
The message we want to convey is that taking a leap of faith and applying can be incredibly rewarding. Your distinct abilities and perspectives could be exactly what we need to create a more diverse and inclusive team. So, don't hesitate&mdash;apply today and let's explore the exciting possibilities together!</p><p></p><p>
All your information will be kept confidential according to EEO guidelines.</p><p></p><p>
At <b>En</b><b>sora Health</b>, Diversity, Equity, Inclusion, and Belonging aren&rsquo;t just words. We celebrate what makes us unique, foster an ecosystem of inclusion for all and harness our talents to promote diversity of thought and action in everything we do.</p><p></p><p>
We instill Diversity, Equity, Inclusion, and Belonging into the fabric of our CARING culture and business, as we strive to be recognized not only as the leader in healthcare technology, but also for our intentional efforts to promote a diverse community.
</p><p>We will champion non-discriminatory practices throughout the employee and customer lifecycle; caring for every person regardless of race, national origin, color, religion, disability, sex, orientation, or familial status.</p><p></p><p><b>
Ensora Health</b> is an equal opportunity employer.</p></div></div><p></p>

AI/ML Intern - Generative AI & Intelligent Systems

<div>
 Ensora Health is the leading provider of software and services for mental and behavioral health therapists, trusted by over 200,000 individual providers and more than 28,000 practices. Our unmatched expertise, partnership, and breadth of products allow us to fine-tune solutions that meet the specific needs of everyone from solo practitioners to larger practices. With AI-enabled solutions that span practice management to electronic medical records and e-prescribing to billing, we help eliminate administrative complexity and create harmony between therapists, their clients, and the whole healthcare community.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 We are looking for a motivated AI/ML Intern to join Ensora Health&rsquo;s technology team and work on cutting‑edge projects involving Generative AI, AI agents, document analysis, and Retrieval‑Augmented Generation (RAG) systems. Over the course of this 10‑week, full‑time summer internship, you&rsquo;ll gain hands‑on experience building prototypes, exploring emerging technologies, and contributing to real‑world AI solutions that support mental health care technology and our customers.
 <br/>
 <br/>
 <strong>
  Must Haves
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Must be a current college student in undergrad (junior or senior) or grad school.
  </li>
  <li>
   Close proximity to Orlando, FL.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Research &amp; exploration
  </li>
  <ul>
   <li>
    Investigate state‑of‑the‑art techniques in large language models (LLMs), AI agents, and orchestration frameworks such as LangChain and LlamaIndex.
   </li>
  </ul>
  <li>
   Prototype development
  </li>
  <ul>
   <li>
    Assist in designing and building proof‑of‑concept models for AI‑driven workflows, document analysis, and knowledge retrieval systems.
   </li>
  </ul>
  <li>
   Data preparation
  </li>
  <ul>
   <li>
    Clean, preprocess, and structure datasets for model training, fine‑tuning, and evaluation across different AI use cases.
   </li>
  </ul>
  <li>
   Testing &amp; quality assurance
  </li>
  <ul>
   <li>
    Validate model outputs, perform error analysis, and help define and track quality benchmarks for accuracy, latency, and reliability.
   </li>
  </ul>
  <li>
   Documentation &amp; collaboration
  </li>
  <ul>
   <li>
    Prepare clear technical documentation for workflows, APIs, and integration steps to support handoffs to engineering and product teams.
   </li>
  </ul>
  <li>
   Performance evaluation &amp; reporting
  </li>
  <ul>
   <li>
    Benchmark models for accuracy, latency, scalability, and cost; summarize findings and recommendations in concise reports.
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Examples of projects you may work on during the 10‑week internship:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Developing a functional AI agent prototype to streamline internal workflows and knowledge access.
  </li>
  <li>
   Building a RAG‑based system that uses vector databases for intelligent, context‑aware knowledge retrieval.
  </li>
  <li>
   Implementing a document analysis pipeline to extract structured data from healthcare documents.
  </li>
  <li>
   Delivering prototypes, documentation, and performance reports for assigned AI use cases.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Bring
  <br/>
  <br/>
 </strong>
 <strong>
  Education &amp; background
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence / Machine Learning, Software Engineering, Statistics, Applied Mathematics, Health Informatics, or a related field (or equivalent practical experience).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python and familiarity with common ML/DL frameworks (e.g., PyTorch, TensorFlow).
  </li>
  <li>
   Basic understanding of LLMs and NLP concepts (tokenization, embeddings, prompts, evaluation).
  </li>
  <li>
   Working knowledge of SQL and data handling (ideally PostgreSQL or similar).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice‑to‑have Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exposure to LangChain, LlamaIndex, or other AI orchestration frameworks.
  </li>
  <li>
   Experience with vector databases and RAG patterns.
  </li>
  <li>
   Familiarity with cloud AI services such as Azure OpenAI, AWS Bedrock, or GCP Vertex AI.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Mindset &amp; Soft Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong curiosity about AI/ML and enthusiasm for experimenting with new tools and techniques.
  </li>
  <li>
   Comfort working with data, running experiments, and iterating based on results.
  </li>
  <li>
   Ability to document work clearly, collaborate with others, and ask thoughtful questions.
  </li>
  <li>
   Interest in healthcare data workflows and learning about compliance considerations (e.g., HIPAA).
   <br/>
   <br/>
  </li>
 </ul>
 Additional Information
 <br/>
 <br/>
 While we've outlined some key qualities we typically seek, it's essential to remember that there might be additional unique strengths and talents you possess that would make you an exceptional match for us, even if they're not explicitly mentioned. Studies have consistently highlighted the significance of this principle, particularly for individuals from disenfranchised backgrounds, including women and other marginalized groups. These individuals often hesitate to apply unless they meet every single requirement, unlike their male counterparts who are more inclined to apply when they meet around 60% of the criteria.
 <br/>
 <br/>
 The message we want to convey is that taking a leap of faith and applying can be incredibly rewarding. Your distinct abilities and perspectives could be exactly what we need to create a more diverse and inclusive team. So, don't hesitate&mdash;apply today and let's explore the exciting possibilities together!
 <br/>
 <br/>
 All your information will be kept confidential according to EEO guidelines.
 <br/>
 <br/>
 At
 <strong>
  En
 </strong>
 <strong>
  sora Health
 </strong>
 , Diversity, Equity, Inclusion, and Belonging aren&rsquo;t just words. We celebrate what makes us unique, foster an ecosystem of inclusion for all and harness our talents to promote diversity of thought and action in everything we do.
 <br/>
 <br/>
 We instill Diversity, Equity, Inclusion, and Belonging into the fabric of our CARING culture and business, as we strive to be recognized not only as the leader in healthcare technology, but also for our intentional efforts to promote a diverse community.
 <br/>
 <br/>
 We will champion non-discriminatory practices throughout the employee and customer lifecycle; caring for every person regardless of race, national origin, color, religion, disability, sex, orientation, or familial status.
 <br/>
 <br/>
 <strong>
  Ensora Health
 </strong>
 is an equal opportunity employer.
</div>


Augurs Technologies Pvt. Ltd

<p><b>Job Title:</b> AI/ML Intern<br/><b>Department:</b> Technology / Research &amp; Development<br/><b>Location:</b> Vibhuti Khand, Gomti Nagar, Lucknow<br/><b>Duration:</b> 6 Months</p><p><b>About the Role:</b></p><p>We are seeking a passionate and innovative <b>AI/ML Intern</b> to join our technology team for a 6-month internship. This role is ideal for someone eager to explore real-world applications of Artificial Intelligence, Machine Learning, and Data Science. The intern will work closely with senior engineers to develop models, analyze datasets, and contribute to ongoing AI-driven solutions.</p><p><b>Key Responsibilities:</b></p><ul><li>Assist in designing, developing, and implementing machine learning models.</li><li>Work on data preprocessing, data cleaning, feature engineering, and exploratory data analysis.</li><li>Support the team in training, evaluating, and optimizing ML algorithms.</li><li>Collaborate in building AI-driven solutions such as predictive models, automation systems, or recommendation engines.</li><li>Conduct research on emerging AI/ML tools, frameworks, and techniques.</li><li>Participate in code reviews, documentation, and project discussions.</li><li>Assist in deploying ML models into production environments (if applicable).</li></ul><p><b>Skills &amp; Qualifications:</b></p><ul><li>Pursuing or recently completed a Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Science, Mathematics, AI/ML, or a related field.</li><li>Strong understanding of machine learning concepts, algorithms, and statistics.</li><li>Hands-on experience with Python and ML libraries such as NumPy, Pandas, Scikit-Learn, TensorFlow, or PyTorch.</li><li>Basic knowledge of data visualization tools (Matplotlib, Seaborn, etc.).</li><li>Familiarity with SQL or any database system is a plus.</li><li>Excellent problem-solving and analytical skills.</li><li>Ability to work independently and collaboratively with the team.</li></ul><p><b>Perks &amp; Benefits:</b></p><ul><li>Internship Certificate after successful completion of 6 months.</li><li>Hands-on experience working on real-time AI and ML projects.</li><li>Mentorship from experienced Data Scientists and ML Engineers.</li><li>Opportunity to contribute to live projects and research initiatives.</li><li>Potential for full-time placement based on performance.</li></ul><p>Job Type: Internship</p><p>Contract length: 6 months</p><p>Work Location: In person</p><p>Job Types: Fresher, Internship<br/>Contract length: 6 months</p><p>Work Location: In person</p>

AI Intern

Pitney Bowes

<div><p><b>At Pitney Bowes, we do the right thing, the right way. As a member of our team, you can too.</b></p><p><br>
We have amazing people who are the driving force, the inspiration and foundation of our company. Our thriving culture can be broken down into four components: <b>Client. Team. Win. Innovate.</b></p><p></p><div>
We actively look for prospects who:<br>
<ul><li>Are passionate about client success.</li><li>Enjoy collaborating with others.</li><li>Strive to exceed expectations.</li><li>Move boldly in the quest for superior and best in market solutions.</li></ul></div><p></p><p><b>
Job Description:</b></p><p></p><p>
A Pitney Bowes Internship prepares students for the rigors of the working world while providing a professional and engaging learning experience. Our internships offer meaningful work with the potential to directly impact our business (learn while doing). In addition to challenging work, interns grow their professional networks. From Day 1, they have the opportunity to network with fellow interns from schools across the country as well as PB employees at all levels of the organization.
</p><p></p><p>Our vision is to offer undergraduate and masters students an engaging and thought-provoking learning experience while impacting our business in a meaningful way by:</p><ul><li><p><b>
PROJECTS</b>: Interns are spread throughout our businesses. Each intern manager will provide intentional learning objective goals and assign real-life projects to own and drive during the summer</p></li><li><p><b>
SUPPORT</b>: Each intern will be paired up with a mentor who will provide guidance, support, and insight into The PB Way!</p></li><li><p><b>
PAY</b>: The wage range for this position is $22 to $2 per hour, with the actual pay dependent on your, education level, skills and experience as they relate to the job requirements.</p></li><li><p><b>
JOB OFFERS</b>: The intern program may only last 10-weeks, June 1st - August 7th, but we don&rsquo;t want the experience to end there. Our top interns are often offered extended internships or future job opportunities at Pitney Bowes</p></li></ul><p></p><p><b>
This internship is ONSITE in Shelton, CT. Candidates must be able to work in person for the full 10‑week program.
</b></p><p></p><p>Join the SendTech Engineering Organization as an AI/ML Intern and work with the AI Center of Excellence and engineering teams on real projects involving machine learning, generative AI, automation, and data engineering. This internship gives you hands‑on experience, mentorship, and the chance to contribute to impactful solutions.</p><p></p><p><b>
You Will:</b></p><ul><li><p>
Assist in developing and testing machine learning models for prediction, classification, and generative tasks.</p></li><li><p>
Support AI workflows through data preparation, feature exploration, and basic deployment steps.</p></li><li><p>
Build prototypes and proof‑of‑concept tools using Python and cloud technologies.</p></li><li><p>
Analyze datasets to uncover insights that support product or process improvements.</p></li><li><p>
Help document experiments and summarize model performance.</p></li><li><p>
Work with engineering mentors to troubleshoot and refine AI components.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
You Bring:</b></h2><ul><li><p>
Strong Python programming skills.</p></li><li><p>
Basic understanding of machine learning concepts (e.g., supervised learning, NLP, deep learning).</p></li><li><p>
Familiarity with ML libraries such as scikit‑learn, LangGraph, TensorFlow, or PyTorch.</p></li><li><p>
Interest in generative AI, LLMs, or retrieval systems is a plus.</p></li><li><p>
Ability to work with datasets and create simple analyses or visualizations.</p></li><li><p>
Curiosity, communication skills, and a willingness to learn.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Background</b></h2><ul><li><p>
Coursework in AI, ML, Data Science, Computer Science, or related fields.</p></li><li><p>
Exposure to cloud platforms like AWS or GCP.</p></li><li><p>
Experience from school projects, research, hackathons, or personal projects.</p></li></ul><p></p><p><b>
We will:</b></p><p></p><ul><li>Provide the opportunity to grow and develop your career</li><li>Offer an inclusive environment that encourages diverse perspectives and ideas</li><li>Deliver challenging and unique opportunities to contribute to the success of a transforming organization</li><li>Offer comprehensive benefits globally<b> </b>(PB Live Well)</li></ul><p></p><p>
Pitney Bowes is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard for race, color, sex, religion, national origin, age, disability (mental or physical), veteran status, sexual orientation, gender identity, or any other consideration made unlawful by applicable federal, state, or local laws.</p><p>
All qualified applicants, including Veterans and Individuals with Disabilities, are encouraged to apply.</p><p>
All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link.</p></div>

Artificial Intelligence Intern

The Standard Insurance

<div><p><b>The next part of your journey is right around the corner &mdash; with The Standard.
</b></p><p></p><p>A genuine desire to make a difference in the lives of others is the foundation for everything we do. With a customer-first mindset and an intentional focus on building strong teams, we&rsquo;ve been able to uphold our legacy of financial stability while investing in new, innovative technologies that support the needs of our customers. Our high-performance culture focused on operational excellence thrives thanks to remarkable people united by compassion and a customer-first commitment. Are you ready to make a difference?
</p><p></p><p>The Standard is seeking a Data Science Intern to join the AI Delivery team and contribute to the development of AI-powered workflow products that drive measurable business value across the enterprise.
</p><p>This internship is designed for high-potential students pursuing degrees in Data Science, Computer Science, Statistics, Applied Mathematics, or related fields who want hands-on experience building and evaluating real-world machine learning systems in a regulated industry environment.
</p><p></p><p>As a Data Science Intern, you will partner with Data Scientists, AI / ML Engineers, Software Engineers, and Product Owners to support model development, experimentation, evaluation, and data analysis. You will gain exposure to production-grade machine learning workflows, model governance, and enterprise AI systems&mdash;moving beyond academic exercises into business-impacting work.
</p><p></p><p>This role is ideal for individuals who are curious, analytical, collaborative, and excited about applying AI responsibly at scale.
</p><p></p><p><b>Skills and Background You&rsquo;ll Need
</b></p><ul><li><b>EDUCATION: </b>Currently pursuing a Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related technical field.
</li><li><b>EXPERIENCE: </b>Prior coursework, research, or project experience in machine learning or data analysis. Internship or applied experience is a plus.
</li><li>Strong foundation in statistics, probability, and machine learning fundamentals (classification, regression, model evaluation).
</li><li>Proficiency in Python and common data science libraries (e.g., pandas, numpy, scikit-learn).
</li><li>Familiarity with data manipulation and querying (e.g., SQL).
</li><li>Exposure to ML experimentation workflows, version control (e.g., Git), and reproducible analysis practices.
</li><li>Interest in applied AI systems, including NLP or generative AI concepts, is a plus.
</li><li>Ability to translate business questions into analytical approaches with guidance.
</li><li>Strong written and verbal communication skills.
</li>Intellectual curiosity, attention to detail, and a desire to learn in a fast-paced, collaborative environment.<br>
<li>
</li></ul><p><br>
<b>Key Behaviors of a Successful Candidate
</b></p><ul><li><b>Driving Success </b>&ndash; Sets goals that inspire others; demonstrates a high level of ambition to achieve outstanding results.
</li><li><b>Improvement Mindset </b>&ndash; Identifies the interrelatedness of work activities; targets important areas for improvement across business unit/functions.
</li><li><b>Winning Together </b>- Makes decisions in partnership with impacted business unit/function leaders with the goals of the organization in mind; acts in the best interest of the organization.
</li></ul><p></p><h1 class="jobSectionHeader"><b>Why Join The Standard?
</b></h1><p></p><p>We have built an enduring legacy of stability, financial strength and exceptional customer service through the contributions of the service-oriented people who choose to work at The Standard. To ensure we can attract and retain the best talent, when you join The Standard you can expect:
</p><ul><li><p>Real-world experiences and meaningful projects that support your career goals provided by a supportive and responsive management team eager to help with skills development
</p></li><li><p>Opportunities to build relationships and broaden industry knowledge through virtual networking with leaders and team members across the company
</p></li><li><p>Three days of paid time off and paid company holidays during your internship period
</p></li><li><p>A virtual first day orientation and the equipment necessary (e.g., laptop, monitors, headset) for a successful internship experience
</p></li></ul><p></p><p>Salary Range:
</p>Range from $25.00 - $28.75 depending on year in school
<p>Positions will be posted for at least 5 days from original posting date.
</p><p></p><p>Standard Insurance Company, The Standard Life Insurance Company of New York, Standard Retirement Services, Inc., StanCorp Mortgage Investors, LLC, StanCorp Investment Advisers, Inc., and American Heritage Life Insurance Company and American Heritage Service Company, marketed as The Standard, are Affirmative Action/Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, national origin, gender identity, sexual orientation, age, disability or veteran status or any other condition protected by federal, state or local law. Except where precluded by state or federal law, The Standard will consider for employment qualified applicants with arrest and conviction records pursuant to the San Francisco Fair Chance Ordinance. The Standard offers a drug- and alcohol-free work environment where possession, manufacture, transfer, offer, use of or being impaired by an illegal substance while on The Standard's property, or in other cases which the company believes might affect operations, safety or reputation of the company is prohibited. The Standard requires a criminal background investigation and employment, education and licensing verification as a condition of employment. After any conditional offer of employment is made, the background check will include an individualized assessment based on the applicant&rsquo;s specific record and the duties and requirements of the specific job. Applicants will be provided an opportunity to explain and correct background information. All employees of The Standard must be bondable.</p></div>

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