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machine learning intern

HCLTech

<div>
 
 
 Job Title:
 
 
 
 
 ML Ops Engineer / ML Engineer
 
 
 
 Experience - 5Yrs -20 Yrs
 
 
 Location - Chennai / Bangalore / Hyderabad / Pune / Noida / Mumbai/
 
 
 
 
 
 
 Job Overview:
 
 
 
 We are looking for an experienced MLOps Engineer to help deploy, scale, and manage machine learning models in production environments. You will work closely with data scientists and engineering teams to automate the machine learning lifecycle, optimize model performance, and ensure smooth integration with data pipelines.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Transform prototypes into production-grade models
 
 
 <ul>
 <li>
 Assist in building and maintaining machine learning pipelines and infrastructure across cloud platforms such as AWS, Azure, and GCP.
 </li>
 <li>
 Develop REST APIs or FastAPI services for model serving, enabling real-time predictions and integration with other applications.
 </li>
 <li>
 Collaborate with data scientists to design and develop drift detection and accuracy measurements for live models deployed.
 </li>
 <li>
 Collaborate with data governance and technical teams to ensure compliance with engineering standards.
 </li>
 </ul>
 
 
 Maintain models in production
 
 
 <ul>
 <li>
 Collaborate with data scientists and engineers to deploy, monitor, update, and manage models in production.
 </li>
 <li>
 Manage the full CI/CD cycle for live models, including testing and deployment.
 </li>
 <li>
 Develop logging, alerting, and mitigation strategies for handling model errors and optimize performance.
 </li>
 <li>
 Troubleshoot and resolve issues related to ML model deployment and performance.
 </li>
 <li>
 Support both batch and real-time integrations for model inference, ensuring models are accessible through APIs or scheduled batch jobs, depending on use case.
 </li>
 </ul>
 
 
 Contribute to AI platform and engineering practices
 
 
 <ul>
 <li>
 Contribute to the development and maintenance of the AI infrastructure, ensuring the models are scalable, secure, and optimized for performance.
 </li>
 <li>
 Collaborate with the team to establish best practices for model deployment, version control, monitoring, and continuous integration/continuous deployment (CI/CD).
 </li>
 <li>
 Drive the adoption of modern AI/ML engineering practices and help enhance the team&rsquo;s MLOps capabilities.
 </li>
 <li>
 Develop and maintain Flask or FastAPI-based microservices for serving models and managing model APIs.
 </li>
 </ul>
 
 
 
 
 
 Minimum Required Skills:
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, analytics, mathematics, statistics.
 </li>
 <li>
 Strong experience in Python, SQL, Pyspark.
 </li>
 <li>
 Solid understanding and knowledge of containerization technologies (Docker, Podman, Kubernetes).
 </li>
 <li>
 Proficient in CI/CD pipelines, model monitoring, and MLOps platforms (e.g., AWS SageMaker, Azure ML, MLFlow).
 </li>
 <li>
 Proficiency in cloud platforms, specifically AWS, Azure and GCP.
 </li>
 <li>
 Familiarity with ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
 </li>
 <li>
 Familiarity with batch processing integration for large-scale data pipelines.
 </li>
 <li>
 Experience with serving models using FastAPI, Flask, or similar frameworks for real-time inference.
 </li>
 <li>
 Certifications in AWS, Azure or ML technologies are a plus.
 </li>
 <li>
 Experience with Databricks is highly valued.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Ability to work in a team-oriented, collaborative environment.
 </li>
 </ul>
 
 
 
 
 
 Tools and Technologies:
 
 
 
 
 Model Development &amp; Tracking:
 
 TensorFlow, PyTorch, scikit-learn, MLflow, Weights &amp; Biases
 
 
 
 Model Packaging &amp; Serving:
 
 Docker, Kubernetes, FastAPI, Flask, ONNX, TorchScript
 
 
 
 CI/CD &amp; Pipelines:
 
 GitHub Actions, GitLab CI, Jenkins, ZenML, Kubeflow Pipelines, Metaflow
 
 
 
 Infrastructure &amp; Orchestration:
 
 Terraform, Ansible, Apache Airflow, Prefect
 
 
 
 Cloud &amp; Deployment:
 
 AWS, GCP, Azure, Serverless (Lambda, Cloud Functions)
 
 
 
 Monitoring &amp; Logging:
 
 Prometheus, Grafana, ELK Stack, WhyLabs, Evidently AI, Arize
 
 
 
 Testing &amp; Validation:
 
 Pytest, unittest, Pydantic, Great Expectations
 
 
 
 Feature Store &amp; Data Handling:
 
 Feast, Tecton, Hopsworks, Pandas, Spark, Dask
 
 
 
 Message Brokers &amp; Data Streams:
 
 Kafka, Redis Streams
 
 
 
 Vector DB &amp; LLM Integrations (optional):
 
 Pinecone, FAISS, Weaviate, LangChain, LlamaIndex, PromptLayer
 
</div>

Machine Learning Engineer

Joveo

<div>
 
 Location: Bangalore / In office
 
 
 Team: New Initiatives
 
 
 Type: Internship
 
 
 
 Stipend
 
 - 25k + (15k food coupons)
 
 
 
 
 
 Build, Innovate, and Deploy: Full Stack Intern Wanted!
 
 
 
 
 
 Are you a budding developer with a passion for both cutting-edge technology and get a thrill from seeing your projects go live? We're looking for a Full Stack Development Intern to join our New Initiatives team and play a vital role in building the digital solutions that drive our business forward.
 
 
 This is a hands-on role where you'll be immersed in the entire development lifecycle. You'll not only write code for dynamic, responsive websites but also have the opportunity to dabble in the frontiers of LLMs and Machine Learning
 
 
 
 
 
 
 You're a Great Fit If You Have:
 
 
 <ul>
 <li>
 A portfolio of personal projects, classwork, or previous internships that demonstrates your coding passion.
 </li>
 <li>
 Hands-on experience coding with:
 </li>
 <li>
 Front-End: JavaScript, HTML, CSS
 </li>
 <li>
 Back-End: Python, PHP, MySQL
 </li>
 <li>
 Platforms &amp; Tools: WordPress, GitHub, Sublime Text/VSCode, Terminal
 </li>
 <li>
 Bonus Points: Experience with N8N, LLM APIs, or basic ML algorithms.
 </li>
 <li>
 A basic understanding of server administration and hosting.
 </li>
 <li>
 Strong problem-solving skills and a love for untangling complex issues.
 </li>
 <li>
 The ability to work independently, communicate clearly, and collaborate effectively.
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Get:
 
 
 <ul>
 <li>
 You won't be on the sidelines. You'll be contributing to live projects from day one.
 </li>
 <li>
 Learn from senior developers through code reviews, brainstorming sessions, and direct mentorship.
 </li>
 <li>
 Get your hands dirty with modern tools and technologies, including explorations into AI and automation.
 </li>
 <li>
 Walk away with tangible, deployed work that you can show to future employers.
 </li>
 <li>
 We work hard and smart during the week and protect your time off to ensure you can recharge and have a life outside of work.
 </li>
 </ul>
 
 
 
 
 
 Ready to Build with Us?
 
 
 
 
</div>

Software Engineer Intern

Blue Yonder

<div>
 
 Overview &amp; Scope
 
 
 
 <ul>
 <li>
 Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor&rsquo;s
 </li>
 <li>
 &ldquo;Best Places to Work&rdquo;
 </li>
 <li>
 We are seeking a highly skilled and motivated Data Science Consultant to join our Supply Chain
 </li>
 <li>
 Management team. The ideal candidate will leverage data-driven insights to optimize supply chain
 </li>
 <li>
 processes, improve decision-making, and drive business results. You will work closely with crossfunctional
 </li>
 <li>
 teams, utilizing advanced data analytics, machine learning, and optimization techniques to
 </li>
 <li>
 enhance supply chain efficiency, forecast demand, and solve complex operational challenges.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Data Analysis &amp; Modeling: Analyze large, complex data sets related to demand forecasting, supply
 </li>
 <li>
 planning to uncover actionable insights.
 </li>
 <li>
 Machine Learning: Apply statistical and machine learning techniques to forecast demand which would
 </li>
 <li>
 include
 </li>
 <li>
 Data ingestion, data visualization and insights, verifying the integrity of data used for analysis
 </li>
 <li>
 Feature engineering, configuring forecasting models
 </li>
 <li>
 Fine tune forecasting model
 </li>
 <li>
 Present results in a clear manner
 </li>
 <li>
 Supply Chain Optimization: Implement optimization algorithms to improve supply chain efficiency, reduce
 </li>
 <li>
 costs, and enhance service levels.
 </li>
 <li>
 Consulting &amp; Advisory: Serve as a subject matter expert (SME) for supply chain analytics, advising
 </li>
 <li>
 stakeholders on best practices, tools, and strategies for effective supply chain management.
 </li>
 <li>
 Process Improvement: Identify inefficiencies within the supply chain and recommend data-driven
 </li>
 <li>
 strategies for continuous improvement.
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 Educational Background: Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Industrial
 </li>
 <li>
 Engineering, Operations Research, Supply Chain Management, or a related field.
 </li>
 <li>
 Experience: 5-12 years of experience in data science or Supply Chain Operations Analytics, or worked on
 </li>
 <li>
 forecasting projects leveraging statistical/ML models; experience with data visualization tools
 </li>
 <li>
 Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, and
 </li>
 <li>
 experience with supply chain management platforms/processes. Good, applied statistics skills, such as
 </li>
 <li>
 distributions, statistical testing, regression, etc
 </li>
 <li>
 Machine Learning: Hands-on experience with machine learning techniques/algorithms (e.g., regression,
 </li>
 <li>
 classification, clustering) and optimization models.
 </li>
 <li>
 Industry Knowledge: Familiarity with supply chain processes such as demand forecasting, inventory
 </li>
 <li>
 management, procurement, logistics, and distribution.
 </li>
 <li>
 Analytical Thinking: Strong problem-solving skills with the ability to analyze complex data sets and
 </li>
 <li>
 translate insights into actionable recommendations.
 </li>
 <li>
 Personal competencies
 </li>
 <li>
 Ability to work independently and as part of a team in a consulting environment.
 </li>
 <li>
 Attention to detail, with the ability to manage large data sets and complex analysis.
 </li>
 <li>
 Communication: Excellent verbal and written communication skills to present findings clearly to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Our Values
 
 
 
 If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: Core Values
 
 
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
</div>

Staff Data Scientist I - Python, R & ML

Publicis Sapient

<div>
 
 
 Role:
 
 Senior Associate &ndash; Data Science &amp; Machine Learning
 
 
 
 Experience:
 
 5 to 8 Years
 
 
 
 Work Mode:
 
 Hybrid (3 days office per week)
 
 
 
 Location:
 
 Gurugram (GGN)/Bengaluru (BEN)
 
 
 
 Notice Period:
 
 
 Immediate to 2 weeks ONLY
 
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking an experienced
 
 Data Science &amp; Machine Learning Engineer
 
 who can design, build, and deploy advanced ML and AI-driven solutions. This role demands deep technical expertise in ML algorithms, deep learning architectures, LLMs, and model operationalization on cloud platforms.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build predictive models using classification, regression, clustering, and time-series techniques.
 </li>
 <li>
 Perform feature engineering, algorithm selection, hyperparameter tuning, and model evaluation.
 </li>
 <li>
 Build
 
 deep learning models
 
 using PyTorch or TensorFlow (CNNs, RNNs, transformers).
 </li>
 <li>
 Develop
 
 GenAI applications
 
 using embeddings, LLMs, prompt engineering, RAG pipelines, LangChain, LlamaIndex, HuggingFace models.
 </li>
 <li>
 Design and implement
 
 end-to-end ML pipelines
 
 from ingestion to deployment.
 </li>
 <li>
 Build scalable data pipelines and work with cloud-based ML platforms (AWS/GCP/Azure ML).
 </li>
 <li>
 Deploy, monitor, and maintain ML models using
 
 MLOps tools
 
 and CI/CD workflows.
 </li>
 <li>
 Work closely with product and engineering teams to integrate ML solutions.
 </li>
 </ul>
 
 
 
 
 
 Must-Have Skills
 
 
 <ul>
 <li>
 Strong fundamentals:
 
 Statistics, Probability, Linear Algebra, Optimization
 
 </li>
 <li>
 Machine Learning:
 </li>
 <li>
 Classification, Regression, Clustering
 </li>
 <li>
 Model evaluation (AUC, F1, Recall, ROC curves)
 </li>
 <li>
 Cross-validation, bias-variance trade-off
 </li>
 <li>
 Deep Learning:
 </li>
 <li>
 CNNs, RNNs, Transformers
 </li>
 <li>
 Hands-on PyTorch / TensorFlow
 </li>
 <li>
 GenAI &amp; NLP:
 </li>
 <li>
 LLMs (GPT, LLaMA, Claude, etc.)
 </li>
 <li>
 Embeddings, RAG, vector databases
 </li>
 <li>
 Prompt engineering, model fine-tuning
 </li>
 <li>
 Programming:
 </li>
 <li>
 
 Python (NumPy, Pandas, Scikit-learn)
 
 </li>
 <li>
 
 PyTorch/TensorFlow
 
 </li>
 <li>
 
 SQL
 
 </li>
 <li>
 MLOps:
 </li>
 <li>
 CI/CD
 </li>
 <li>
 Model deployment &amp; monitoring
 </li>
 <li>
 Lifecycle management
 </li>
 <li>
 Version control (Git) and cloud ML platforms (AWS/GCP/Azure)
 </li>
 </ul>
 
 
 
 
 
 Good to Have
 
 
 <ul>
 <li>
 Experience with Hugging Face models
 </li>
 <li>
 Knowledge of Docker/Kubernetes
 </li>
 <li>
 Exposure to reinforcement learning
 </li>
 <li>
 Experience with A/B testing or experimentation frameworks
 </li>
 </ul>
 
 
 
 
 
 Required Candidate Information
 
 
 
 (For screening &ndash; mandatory)
 
 <ul>
 <li>
 Total Experience
 </li>
 <li>
 Relevant DS/ML Experience
 </li>
 <li>
 Current CTC
 </li>
 <li>
 Expected CTC
 </li>
 <li>
 Notice Period (
 
 Immediate &ndash; 2 weeks only
 
 )
 </li>
 <li>
 Current Location
 </li>
 <li>
 Preferred Location
 </li>
 <li>
 LinkedIn Profile URL
 </li>
 </ul>
 
 
 
 
 
 How to Apply
 
 
 
 Send your updated CV to:
 
 
 📩
 
 Vijay.S@xebia.com
 
 
</div>

Senior Associate – Data Science & Machine Learning

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 Salary range: Rs 600000 - Rs 800000 (ie INR 6-8 LPA)
 
 
 
 Min Experience: 0 years
 
 
 Location: Bangalore
 
 
 JobType: full-time
 
 
 We are looking for a passionate and motivated
 
 AI Engineer
 
 to join our growing team. This role is ideal for individuals who are eager to build a career in artificial intelligence and machine learning. You will work closely with data scientists, engineers, and product teams to design, develop, and deploy AI-driven solutions that power intelligent products and business applications.
 
 
 You will contribute to projects across various AI domains &mdash; including natural language processing (NLP), computer vision, recommendation systems, and predictive analytics &mdash; while continuously learning and applying state-of-the-art algorithms and tools.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 AI Model Development: Design, implement, and train machine learning and deep learning models to solve business problems across different use cases.
 </li>
 <li>
 Data Preparation &amp; Feature Engineering: Work with large and diverse datasets to collect, clean, preprocess, and transform data for model training and evaluation.
 </li>
 <li>
 Algorithm Optimization: Experiment with different algorithms, hyperparameters, and architectures to improve model performance and efficiency.
 </li>
 <li>
 Model Deployment &amp; Integration: Collaborate with backend and DevOps teams to deploy AI models into production using frameworks like TensorFlow Serving, PyTorch, ONNX, or Docker.
 </li>
 <li>
 Research &amp; Innovation: Stay up to date with advancements in AI research and tools. Apply innovative techniques from recent papers, open-source projects, or frameworks to improve business processes.
 </li>
 <li>
 Cross-Functional Collaboration: Work with product managers and software engineers to understand business requirements and translate them into technical solutions.
 </li>
 <li>
 Performance Monitoring: Evaluate models on real-world data, monitor drift, and continuously fine-tune and retrain models to maintain accuracy and reliability.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or related field.
 </li>
 <li>
 0-3 years of hands-on experience in machine learning, AI development, or data-driven software engineering.
 </li>
 <li>
 Proficiency in programming languages such as Python (preferred) or R, with experience using libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Strong understanding of machine learning algorithms, neural networks, data preprocessing, and statistical analysis.
 </li>
 <li>
 Experience with model evaluation metrics, data visualization tools (Matplotlib, Seaborn, Power BI), and version control systems like Git.
 </li>
 <li>
 Basic understanding of cloud platforms such as AWS, GCP, or Azure, especially their AI/ML services.
 </li>
 <li>
 Familiarity with APIs, REST frameworks, and data pipelines is a plus.
 </li>
 <li>
 Excellent problem-solving ability, curiosity, and eagerness to learn emerging AI technologies.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Exposure to NLP (transformers, text classification, embeddings) or Computer Vision (CNNs, object detection).
 </li>
 <li>
 Internship or project experience involving AI/ML model deployment or end-to-end data workflows.
 </li>
 <li>
 Knowledge of MLOps tools (e.g., MLflow, Kubeflow) or containerization using Docker
 </li>
 </ul>
</div>

AI Engineer

Sigmoid

<div>
 Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We o&fflig;er best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You'll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
 
 
 
 Offices
 
 : New York | Dallas | San Francisco | Lima | Bengaluru
 
 
 The below role is for our Bengaluru office.
 
 
 
 About the Role
 
 :
 
 
 You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning, we would like to talk to you.
 
 
 
 Role: ALDS
 
 
 
 
 Mandate
 
 
 Skills &amp; Competencies:
 
 
 
 <ul>
 <li>
 Experience in Programming (Python, R, SQL, NoSQL, Spark) with ML tools &amp; Cloud Technology (AWS, Azure, GCP)
 </li>
 <li>
 Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc.
 </li>
 <li>
 Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making.
 </li>
 <li>
 Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.)
 </li>
 <li>
 Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc.
 </li>
 <li>
 Contribute to internal product development initiatives related to data science.
 </li>
 <li>
 Develop data science roadmap, and guide data scientist to meet their deliverables.
 </li>
 <li>
 Handling end-to-end client AI &amp; analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
 </li>
 <li>
 Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights
 </li>
 <li>
 Drive excellent project management required to deliver complex projects, including effort/time estimation.
 </li>
 <li>
 Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround &amp; higher accuracy
 </li>
 <li>
 Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects
 </li>
 <li>
 Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders
 </li>
 <li>
 Manage the team-members, to ensure that the project plan is being adhered to over the course of the project
 </li>
 <li>
 Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates.
 </li>
 <li>
 Build a trusted advisor relationship with the IT management at clients and internal accounts leadership.
 </li>
 <li>
 Build business case for technological investments to be made for future needs and to remain competitive
 </li>
 <li>
 Ensure that billing and utilization of team members is maximized throughout the year
 
 
 </li>
 </ul>
 
 Desired Skills:
 
 
 
 <ul>
 <li>
 Experience designing data science solutions to business problems
 </li>
 <li>
 Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems.
 </li>
 <li>
 Comfortable with large scale data processing and distributed computing
 </li>
 <li>
 Allocates workload among team members and by taking into consideration employee availability, skill set, and current workload when making assignments.
 </li>
 <li>
 Providing required inputs to sales, and pre-sales activities
 </li>
 <li>
 Excellent written and verbal communication skills
 
 
 </li>
 </ul>
 
 Desired Experience &amp; Education:
 
 
 
 <ul>
 <li>
 4- 8 years of relevant Machine Learning experience.
 </li>
 <li>
 Minimum Master's Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields.
 </li>
 </ul>
</div>

Associate Lead Data Scientist

Walmart Global Tech India

<div>
 Position Summary...
 
 
 As a Software Engineering Intern, you&rsquo;ll be part of a collaborative team that builds scalable software solutions with AI/ML integrations. You&rsquo;ll contribute to real-world projects, learn from experienced engineers, and gain exposure to Walmart&rsquo;s technology ecosystem. Interns are expected to demonstrate curiosity, ownership, and a strong learning mindset while embodying Walmart&rsquo;s culture and values.
 
 
 What you'll do...
 
 
 
 About Walmart
 
 
 
 At Walmart Global Tech India, you'll join a collaborative team of over 15,000 engineers, data scientists, and service professionals. The team builds scalable software solutions with AI/ML integrations, driving digital transformation for Walmart&rsquo;s global operations and enhancing customer and associate experiences.
 
 
 If you&rsquo;re thinking &lsquo;scale&rsquo;, think bigger and don&rsquo;t stop there. At Walmart Global Tech India, we don&rsquo;t just innovate, we enable transformations across stores and different channels for the Walmart experience. Take a regular day at Walmart Global Tech India and match that with 260 million customers a week, 11,300+ stores, under 19 countries and e-commerce websites.
 
 
 With fiscal year 2025 revenue of $681 billion, Walmart employs approximately 2.3 million associates worldwide. We innovate to deliver a simple and seamless experience for our customers. Our tech talent solves the biggest and most complex problems. They drive digital transformation where data and analytics are enabling us to better serve our customers and create a digital relationship with them. As our customers evolve and adapt, we are taking it a few notches further here. We&rsquo;re changing what customers can expect from the experience of shopping, from the physical stores, to mobile, social and even online; we&rsquo;re not just ready for the future of shopping, we&rsquo;re creating it.
 
 
 
 About Team:
 
 
 
 At Walmart, we prioritize innovation and data security. Our team is dedicated to maintaining a secure operating environment and preserving the trust of our customers, associates, and stakeholders. We combine a range of services and expertise to prevent fraud, detect threats, and manage digital risk and access. Our focus is on mitigating attack risks, securing cloud transformation, and fostering a culture of security and reliability within our team
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design, develop, and deploy scalable software systems.
 </li>
 <li>
 Collaborate with cross-functional teams across product, design, and data.
 </li>
 <li>
 Solve complex engineering challenges in AI/ML, cloud infrastructure, data platforms, and consumer applications.
 </li>
 <li>
 Participate in agile development cycles, code reviews, and innovation sprints.
 </li>
 <li>
 Create and maintain software that improves customer and associate experiences.
 </li>
 <li>
 Work on domains like supply chain, retail systems, finance, logistics, and mobile development.
 </li>
 <li>
 Use technologies such as Java, Hadoop, Cassandra, ERP, machine learning, and open-source frameworks.
 
 
 </li>
 </ul>
 
 What You'll Bring:
 
 
 
 <ul>
 <li>
 Final-year students (Class of 2026) in Computer Science, Software Engineering, or related fields.
 </li>
 <li>
 Strong programming skills in Python, Java, C++, or JavaScript.
 </li>
 <li>
 Proficiency in tools/frameworks like Github, Co-pilot, Qodo Merge, DX Ai chat.
 </li>
 <li>
 Solid understanding of data structures, algorithms, and system design.
 </li>
 <li>
 Passion for building technology that impacts millions.
 </li>
 <li>
 Indian nationals currently enrolled in US universities.
 
 
 </li>
 </ul>
 
 Minimum Qualifications...
 
 
 
 
 
 Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
 
 
 
 
 
 Preferred Qualifications...
 
 
 
 
 
 Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
 
 
 
 
 
 Primary Location...
 
 
 
 G, 1, 3, 4, 5 Floor, Building 11, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2351785
</div>

Grad Intern - No Work Experience

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