machine learning intern

Ksolves India Pvt. Ltd.

WFO
 
Program Overview
 
We are seeking enthusiastic and motivated college graduates to join our team as Software Interns. The ideal candidates will have a solid foundation either in Data Structures and Algorithms or in Machine Learning. Candidates must be proficient in any one of the programming languages such as Java, Python, C/C++, Node.js, or React. This role offers an excellent opportunity to work on cutting-edge projects and develop skills in a dynamic and supportive environment.
 
Software Development Intern
 
Key Responsibilities: 
Develop and maintain software applications, working on both front-end and back-end tasks
 
Write clean, efficient, and well-documented code in Java, Python, C/C++, Node.js, or React
 
Integrate and work with APIs and various libraries and frameworks
 
Optimize code using strong knowledge of Data Structures and Algorithms
 
Participate in testing, debugging, and deployment of applications
 
Collaborate with senior developers on system design and architecture
 
Required Skills: 
Proficiency in Java, Python, C/C++, Node.js, or React with hands-on coding experience
 
Strong grasp of Data Structures and Algorithms
 
Experience with APIs and familiarity with relevant libraries and frameworks
 
Basic understanding of web development (HTML, CSS, JavaScript)
 
Familiarity with version control (Git) and databases (SQL)
 
Strong problem-solving and teamwork skills with ability to adapt to new technologies
 
Machine Learning Intern
 
Key Responsibilities: 
Assist in developing and implementing machine learning models with hands-on approach
 
Preprocess data, perform feature engineering, and build predictive models
 
Utilize APIs, libraries (TensorFlow, PyTorch, Scikit-learn), and frameworks effectively in ML projects
 
Work on computer vision tasks using libraries such as OpenCV, TensorFlow, or PyTorch
 
Explore and implement generative AI models using frameworks like GPT, GANs, or DALL-E
 
Optimize machine learning models using strong Data Structures and Algorithms knowledge
 
Analyze datasets to extract insights and participate in model evaluation
 
Collaborate with data scientists on various ML projects including vision and generative AI
 
Required Skills: 
Proficiency in Python with hands-on experience in ML libraries (TensorFlow, PyTorch, Scikit-learn)
 
Strong grasp of Data Structures and Algorithms
 
Knowledge of APIs and experience with libraries and frameworks for vision (OpenCV, TensorFlow) and generative AI (GPT, GANs)
 
Experience with data preprocessing and working with large datasets
 
Basic understanding of machine learning concepts (classification, regression, neural networks)
 
Strong analytical and teamwork skills with ability to adapt to new technologies
 
Preferred Qualifications: 
Knowledge of version control systems like Git
 
Basic understanding of web development frameworks and Python Notebooks
 
Familiarity with Cloud Providers and their ML services (DialogueFlow, AzureAI, Gemini, Copilot, etc.)

Software Development Intern & Machine Learning Intern

Airbus

<div>Job Description:
<div>Data Science Intern
 
 
Company:** Airbus India Private Limited
-
 
 
Job Summary
 
 
Airbus India Private Limited is seeking a highly motivated and analytical Data Science Intern to join our innovative team. This internship offers a unique opportunity to gain practical experience in applying data science methodologies to real-world aerospace challenges, contributing to advanced projects that shape the future of aviation.
 
 
Job Responsibilities
 
 
As a Data Science Intern, you will be involved in various aspects of our data science initiatives, including but not limited to:
 
 
<ul><li>Assisting in the collection, cleaning, and pre-processing of large datasets from various sources.
</li><li>Applying statistical analysis and machine learning techniques to extract actionable insights from data.
</li><li>Developing and implementing predictive models to solve complex business problems.
</li><li>Visualizing data and communicating findings effectively to technical and non-technical stakeholders.
</li><li>Collaborating with experienced data scientists and data engineers on ongoing projects.
</li><li>Researching and evaluating new data science tools, techniques, and methodologies.
</li><li>Documenting processes, methodologies, and results for future reference.
</li></ul> 
Job Qualifications
 
 
To be successful in this internship, candidates should possess the following qualifications:
 
 
<ul><li>Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
</li><li>Strong foundational understanding of statistical concepts and machine learning &amp; Deep learning algorithms.
</li><li>Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
</li><li>Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
</li><li>Basic understanding of SQL for data querying and retrieval.
</li><li>Excellent analytical and problem-solving skills.
</li><li>Strong communication and interpersonal skills, with the ability to articulate technical concepts clearly.
</li><li>A keen interest in the aerospace industry and a desire to learn and contribute to cutting-edge projects.
</li><li>Ability to work independently and collaboratively in a fast-paced environment.
</li></ul></div>This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company&rsquo;s success, reputation and sustainable growth.
Company:
Airbus India Private Limited
Employment Type:
Internship
-
Experience Level:
Student
Job Family:
Digital &lt;JF-IM-DI&gt;
<div><div><div><div>By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
 
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .
</div></div></div></div>At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.</div>

Data Science Intern

INNOBAYT INNOVATIVE SOLUTIONS

About the RoleInnobayt Solutions is urgently seeking a highly motivated AI Engineer Intern for a 3-month intensive internship. During this program, you will gain hands-on experience with real AI projects- including machine learning, large language models (LLMs), AI agents, and computer vision- while collaborating closely with our experienced team to develop meaningful and impactful solutions.Key Responsibilities1. AI &amp; Machine Learning Development<ul><li>Develop, fine-tune, and optimize machine learning models for real-world applications.</li><li>Work on AI-powered solutions such as AI agents, autonomous workflows, and custom LLM implementations.</li><li>Build and integrate computer vision models for innovative projects.</li></ul>2. Research &amp; Experimentation<ul><li>Explore open-source LLMs, Retrieval-Augmented Generation (RAG), and prompt-engineering techniques.</li><li>Investigate new tools, frameworks, and approaches to enhance AI performance.</li></ul>3. Integration &amp; Deployment<ul><li>Collaborate with the engineering team to deploy AI models in production environments.</li><li>Contribute to pipelines, workflows, and systems that support scalable AI deployment.</li></ul>4. Collaboration &amp; Innovation<ul><li>Participate in brainstorming sessions focused on emerging technologies.</li><li>Share insights and contribute creative ideas on AI applications.</li></ul>What We&rsquo;re Looking ForTechnical Skills:<ul><li>Strong Python skills and experience with ML/DL frameworks (TensorFlow, PyTorch, Hugging Face).</li><li>Knowledge of NLP, machine learning, deep learning, or computer vision.</li><li>Familiarity with LLMs, embeddings, vector databases, or RAG pipelines (bonus).</li><li>Exposure to LangChain, OpenAI APIs, or LLM fine-tuning (strong advantage).</li><li>Basic knowledge of cloud services (AWS, Google Cloud, Azure).</li></ul>Mindset &amp; Work Approach:<ul><li>Passion for AI and emerging technologies.</li><li>Eager to experiment, learn, and solve challenging problems.</li><li>Comfortable working in a fast-paced, dynamic environment and contributing to team discussions.</li></ul>What We Offer:<ul><li>Real project exposure and hands-on AI experience</li><li>Mentorship from experienced AI and software engineers</li><li>Learning opportunities with modern tools and frameworks</li><li>Potential full-time role after internship completion</li><li>Internship certificate</li></ul>Job Type: Internship Contract length: 3 months

AI Engineer Intern – 3-Month Internship

3rdeyesoft

Company: 3rdEyeSoft Location: Multan (On-site) Job Type: Full-Time Internship Duration: 3 Months (with potential for full-time employment)About 3rdEyeSoft:3rdEyeSoft is a Digital Healthcare Company committed to improving lives through technology. We create intelligent health solutions that empower physicians and patients with data-driven insights. Our projects include healthcare analytics, disease prediction systems, and smart medical applications powered by AI.Position Overview:We are looking for a motivated and passionate AI Engineering Intern to join our healthcare technology team in Multan. This internship offers a unique opportunity to gain hands-on experience in building AI-driven healthcare applications. You will work under the guidance of experienced engineers and researchers to explore how machine learning, computer vision, and NLP can transform patient care and medical workflows.Key Responsibilities:<ul><li>Assist in developing and training AI/ML models for disease prediction, health tracking, and medical data analysis.</li><li>Support the collection, cleaning, and preprocessing of healthcare datasets.</li><li>Work on NLP, computer vision, or predictive modeling projects related to medical applications.</li><li>Collaborate with software developers and healthcare professionals to integrate AI into real-world systems.</li><li>Research emerging trends and tools in healthcare AI.</li></ul>Required Skills &amp; Qualifications:<ul><li>Currently pursuing or recently completed a Bachelor&rsquo;s in any field</li><li>programming skills in Python (knowledge of NumPy, Pandas, etc.).</li><li>Basic understanding of machine learning, deep learning, or data analytics.</li><li>Good problem-solving and analytical skills.</li><li>Excellent communication and teamwork abilities.</li></ul>What We Offer<ul><li>Hands-on experience with real healthcare AI projects.</li><li>Mentorship from experienced AI engineers and data scientists.</li><li>A supportive, research-driven environment.</li><li>Internship certificate and potential for full-time employment based on performance.</li></ul>How to ApplySend your CV or portfolio to hr@3rdeyesoft.com Subject Line: AI Engineering Intern &ndash; 3rdEyeSoft MultanJob Type: Internship Contract length: 3 monthsPay: Rs15,000.00 - Rs25,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Work Location: In person

AI Engineering Intern

Crest climber software solution pvt ltd

<ul><li>A data science intern assists experienced data scientists by performing tasks like data cleaning and preprocessing, exploratory data analysis, and creating visualizations to extract insights. They also help build and test basic machine learning models, use statistical tools, and learn to use data science software like Python and R. Internships focus on providing hands-on experience with real-world data, from collection to communicating findings to a team. Core responsibilities</li><li>Data collection and cleaning: Gathering raw data and preparing it for analysis by handling missing values and inconsistencies.</li><li>Exploratory Data Analysis (EDA): Using statistical methods and visualizations to find patterns, correlations, and trends in the data.</li><li>Machine learning: Assisting with building, testing, and evaluating machine learning models under the guidance of senior data scientists.</li><li>Data visualization: Creating charts, dashboards, and reports to present findings in a clear and compelling way.</li><li>Skills and tools</li><li>Programming and tools: Learning and using</li><li>programming languages like Python or R, as well as tools like SQL, Tableau, and Hadoop.</li><li>Statistical analysis: Applying basic statistical techniques to analyze data and draw conclusions.</li><li>Communication: Learning to communicate technical findings to a non-technical audience and working with team members to present results.</li><li>The internship experience</li><li>Real-world projects: Gaining practical experience by working on real datasets and projects that have business value.</li></ul>*<ul><li>Full project lifecycle: Getting exposure to the entire data science workflow, from data collection to delivering final insights.</li><li>Skill development: Building a strong foundation in data science, with the potential for the internship to lead to a full-time role.</li><li>Mentorship: Working under the guidance of experienced professionals who provide support and opportunities for experimentation and learning.</li><li>Tamil candidates only</li></ul>Job Type: Full-timePay: &#8377;8,086.00 - &#8377;25,545.78 per monthBenefits:<ul><li>Food provided</li></ul>Work Location: In person

Orbcomm

<div>Join Us as an AI Engineering Intern!<div>
Ready to grow your Product skills in a real-world setting? At ORBCOMM, we&rsquo;re looking for a motivated AI Engineering Intern eager to learn, contribute to impactful projects, and gain hands-on experience in a fast-paced, agile environment. Turn curiosity into capability and kickstart your career with us!</div> 
Why You&rsquo;ll Love Working Here:
ORBCOMM is a global leader in industrial IoT, committed to transforming data into action across supply chain visibility industries. We&rsquo;re looking for a driven and curious AI Engineering Intern to support the design, development, and deployment of AI-powered solutions across our product portfolio.
This is a hands-on opportunity to work on real-world challenges using machine learning, computer vision, predictive modeling, and data engineering.
What You&rsquo;ll Do:<div><ul><li>
Build Data Lake: ingestion pipelines to Data Lake, drive Master Data Management, participate in Silver Layer Data</li><li>
Develop AI Models: Assist in building, training, and testing machine learning models for use in areas such as asset tracking, anomaly detection, and predictive maintenance.</li><li>
Work with Real-World Data: Clean, process, and analyze large datasets from IoT devices to extract meaningful insights.</li><li>
Collaborate Across Teams: Partner with data scientists, engineers, and product managers to integrate AI features into ORBCOMM platforms.</li><li>
Experiment &amp; Innovate: Prototype solutions using a variety of AI/ML techniques and evaluate performance with structured testing.</li><li>
Abstraction &amp; Anonymization algorithms development</li><li>
Contribute to Deployment: Help prepare models for deployment in production environments, considering performance, scalability, and reliability.</li></ul></div>
Who You Are:
You&rsquo;re an organized and curious team player, ready to learn and support a fast-paced Engineering team. If you have:<ul><li>
Post-secondary education in progress in Computer Science, Data Science, Engineering, or related technical field.</li><li>
Familiarity with Python and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>
Understanding of basic ML concepts such as regression, classification, and model evaluation.</li><li>
Strong problem-solving and analytical skills.</li><li>
Interest in applying AI to real-world business problems across multiple industries.</li><li>
Exposure to Azure Data Fabric, API Gateways, PowerBI App building would be preferable.</li><li>
Leverage AI-enabled tools and automation to support daily tasks and productivity.</li><li>
Commitment to continuous learning in digital and AI literacy.</li></ul> 
Then we want to meet you! 
About Us:
At ORBCOMM, we&rsquo;re pioneers in IoT technology, that drives innovation and empowers our clients to make data-driven decisions. Our industry-leading solutions enable customers to boost productivity, streamline operations and increase their bottom line. With over 30 years of experience and the most comprehensive solution portfolio in the industry, we enable the management of millions of assets worldwide across diverse sectors including transportation, heavy industries, satellite, and maritime. Discover how ORBCOMM is transforming industries and unlocking the potential of data to drive meaningful change by visiting us at www.orbcomm.com! 
Ready to Join Us?
We believe that our people are our greatest asset. Your skills and passion can help us achieve remarkable things! If you&rsquo;re seeking a thrilling career opportunity in a vibrant, growth-oriented environment, ORBCOMM is the perfect fit for you.
We are committed to building a diverse and inclusive workplace and appreciate all applicants for their interest in joining our team. Only candidates selected for an interview will be contacted.
At ORBCOMM, we are also dedicated to ensuring accessibility and are pleased to offer accommodations for individuals with disabilities upon request throughout all aspects of the selection process.</div>

Uber

<div>We're looking for PhD candidates in the machine learning and optimization domain to intern with a variety of teams during summer 2026 (12 weeks). You will be embedded in an engineering team and work closely with other specialists, data scientists, and product managers. As a PhD intern, you will work on an exciting yet bold problem independently, under the supervision of an experienced engineer on that team.
 
 
About the Role
 
 
At Uber, we work on many ambitious engineering products covering many lines of business as well as the underlying platform technologies that power those businesses. We foster growth and increase profitability of Uber by pushing the frontiers of machine learning, constrained optimization, statistics, data science and economics and developing highly reliable and scalable platforms to accelerate Uber's impact on the transportation industry.
 
 
As a PhD software engineer intern, you will have a lot of opportunities to work with product managers, data scientists and, of course, engineers from different teams. You will have an opportunity to learn how to iterate over a product for greater success while demonstrating your area of expertise (machine learning, statistics, constrained optimization, distributed system, etc.). This is a unique opportunity to grow your skills with real-world experience and do highly impactful, yet fun work at the same time. It is an ambitious yet rewarding job!
 
 
Team Options
<ul><li>The Delivery Marketplace: Consumer and Courier Pricing, Matching and Logistics is responsible for building the core technology across the delivery line of business including food delivery, grocery, and retail last mile. These include a diverse set of transformational projects and impactful products ranging from finding the optimal match between jobs and earners in the delivery space, to setting optimal prices for Eaters and Couriers. The organization is formed of talented teams of engineers and scientists working side by side on the state of the art innovations on the matching objective function, pricing algorithms, and promotions. To achieve these goals, we leverage big data tools and apply advanced machine learning models to drive top line and bottom line business outcomes.
</li><li>The Trusted Identity org inspires trust in the Uber business cycle through verified and authentic identities. The Account Integrity team prevents fake identities from operating on the platform, and ensures that accounts are not duplicated nor fraudulent to enhance accountability. The Identity Verification team ensures accounts are created by real humans by verifying their attributes. The Account Security team is responsible for defending account holders from fraud related to phishing and ATO (account takeover) attempts. The Device Intelligence team is responsible for collecting device signals that are critical for the other teams to reliably achieve their goals.
</li><li>The Uber Risk engineering team is tackling challenges related to fraud and abuse detection. Our work is crucial in maintaining the integrity of Uber's platform. The team employs advanced machine learning including LLMs and computer vision, knowledge graph, similarity search and reinforcement learning to monitor transactions, detect unusual patterns, and implement robust verification methods
</li><li>The Mobility Matching team at Uber plays a crucial role in developing and optimizing algorithms and systems that match supply (drivers) with demand (riders) in real-time. You will work on complex problems, leveraging data and build ML algorithms to ensure efficient and reliable marketplace matching. The team is broadly part of the Marketplace (PIMS) org, a central pillar to Uber's core technology which includes pricing, incentives/investments, matching, surge, etc. As the key brain of the company, we manage the complex dynamics of supply and demand, optimize dispatching algorithms, and continuously innovate to enhance the overall user experience for both riders and drivers. Improvements in these systems increase revenue in the hundreds of millions of dollars, and decrease wasted time of drivers and users. Your contributions will directly impact the experience of millions of users worldwide.
</li><li>The Rider Pricing and Incentives team at Uber plays a crucial role in developing and optimizing algorithms and systems that determine the trip prices, discounting and promotions for Uber riders worldwide. You will work on complex modeling, pricing and incentives targeting problems, leveraging data and building ML algorithms to ensure accurate and robust pricing models and successful pricing optimization outcomes. The team is broadly part of the Marketplace organization, a central pillar to Uber's core technology which more broadly includes pricing, incentives/investments, matching, surge, etc. As a key team within Uber, we manage the complex dynamics between short term optimized pricing and long-term optimized pricing, promotion targeting and continuously innovating to enhance the overall user experience for riders. Improvements in these systems increase revenue in the hundreds of millions of dollars, and positively impact the experience of millions of users worldwide, as well as their ability to get around in the world.
</li><li>Join our Capacity Planning team as a Ph.D. intern to drive the future of infrastructure resource management through advanced quantitative methods. You will be at the forefront of implementing our data-driven forecasting vision, moving away from reactive, manual processes to scalable, automated solutions that utilize predictive analytics and real-time utilization data. This is a high-impact opportunity to work with the Applied Science and Engineering teams on designing and optimizing the central intelligence systems for capacity planning. Your expertise will be crucial in developing granular, highly accurate resource forecasts, ensuring service reliability for unexpected demand, and making key decisions that directly influence financial accountability, operational agility, and optimal resource utilization across the entire platform.
</li><li>The Autonomous Vehicles Cloud team is dedicated to accelerating the autonomous vehicles industry to L4 by serving as a premier AV data leader. Recently, we announced a partnership with NVIDIA to jointly develop a data factory for autonomous vehicle development. The team includes engineers with diverse backgrounds in embedded software, cloud computing, batch data processing, and ML research. We are looking for talent passionate about autonomous vehicles and eager to make a significant impact.
</li><li>The Marketplace Signals team at Uber is responsible for building and optimizing foundational marketplace signals that power user experiences and drive marketplace efficiency. Our team ensures that key signals-such as eyeball ETA, spinner time, and supply reliability indicators-are leveraged effectively across various Uber products and levers, enabling data-driven decision-making and seamless coordination across different business functions.
</li><li>Applied AI is a horizontal AI team at Uber partnering with product and platform teams across the company to deliver cutting-edge machine learning solutions for core business problems. The Computer Vision team in AppliedAI specializes in Generative AI, Foundation Model, and classical Computer Vision solutions, and the ML infrastructure needed to scale these systems in production.
</li><li>Fabric Controller brings together platforms that keep large scale systems resilient and easy to operate, including Cadence and Repair Engine. Cadence is an open source workflow orchestration engine that manages distributed state, retries, scaling, and recovery so teams can focus on business logic while supporting mission critical workloads across many industries. Repair Engine detects, diagnoses, and remediates issues by correlating signals across infrastructure and application layers through an ingestion pipeline and statistical analysis. An ML engine is being developed to improve diagnostics by learning patterns from historic issues, reducing false positives, and incorporating broader context such as workload types and traffic trends. Together these systems strengthen reliability, automation, and operational efficiency across the stack.
</li></ul>What You'll Do
<ul><li>Drive exciting, ambitious, previously unsolved projects from end to end
</li><li>Develop novel algorithms that use Uber data at global scale
</li><li>Thrive in an environment with ambiguous product requirements
</li><li>Collaborate closely with product managers and data scientists
</li><li>Be motivated to independently own and drive projects forward
</li><li>Have a passion to make Uber better for our customers
</li></ul>Basic Qualifications
<ul><li>Currently enrolled in a Ph.D. program studying computer science, machine learning, data mining, artificial intelligence, constrained optimization, statistics, or a related quantitative field
</li><li>Candidates must have at least one semester/quarter of their education left following the internship
</li><li>Knowledge of underlying technical foundations of statistics, machine learning, optimization, systems, etc.
</li><li>Experience in one or more object-oriented languages, including C++, Java, Python, or Go
</li></ul>Preferred Qualifications
<ul><li>Ability to communicate effectively with both technical and business partners
</li><li>Experience in simplifying/converting business problems into technical problems
</li>Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation 
<li>
</li></ul> 
 
For New York, NY-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Seattle, WA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For all US locations, you will also be eligible for various benefits.</div>

2026 PhD Software Engineer Intern (Machine Learning), United States

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