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Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 24th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 24th June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 24th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

REQUISITION ID: 9569 LOCATION: Chennai DEPARTRMENT: Business Intelligence(BI) - Data Scientist Your Tasks Develop and maintain BI dashboards and reports to track business performance Analyze large datasets to identify trends, patterns, and business opportunities Use machine learning and statistical modeling to predict business outcomes Collaborate with stakeholders to define KPIs and performance metrics Clean, preprocess, and optimize data for reporting and analytics Communicate findings through compelling data storytelling and visualization Experience with Power BI and should research and implement new AI and analytics techniques to enhance BI capabilities Proficiency in VBA, SQL, Python, or R for data manipulation and analysis Ability to translate complex data into business insights and recommendations Your Profile Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field. Experience in cloud platforms (AWS, Azure, GCP) for data analytics. Knowledge of A/B testing, forecasting, and customer segmentation. Previous experience in a BI, data analytics, or consulting role. Relevant 5 years of experience in data analytics, BI, or data science roles Business Intelligence (BI) – Power BI and data Science & Analytics – Python, R, SQL Machine Learning & AI – Predictive modeling BI Developer – Hands-on experience with BI tools and data modeling Machine Learning Engineer – Applied AI and ML in business contexts Nordex adheres to a policy of equal employment opportunity. All employment decisions are made without regard to protected characteristics and in full compliance with all laws and legislations.

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 24th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Designation - Associate - Data Analyst Location - Mumbai, Lower Parel About Us: The Souled Store is a homegrown youth casual-wear brand started in 2013. We are one of India’s largest online merchandising platforms with licenses like Disney, Warner Bros; WWE, IPL, Viacom18 to name a few. Apart from selling products with themed designs such as superheroes, movies, TV shows, and cartoons, the brand also is at the forefront of the latest youth style and fashion trends. In addition to core men and women wear apparel categories, we have also expanded to new categories and introduced new product lines like activewear, supima products, innerwear, personal care products like perfumes etc. We have also launched footwear and kidswear recently. Although we are primarily an online brand, we’ve expanded in the offline retail space as well and have stores pan India. The Souled Store was born out of the idea of loving what you do, from the soul. We believe that people do their best work when they love what they do. There are too many Monday mornings and you can’t go dreading every single one of them. Over the years, we have built a strong team of like-minded people that work smart, own their work, and think like leaders. If you identify with what we do and are interested in being a part of an aggressively growing brand, we would love to have you on Board! Work Overview : The Associate Data Analyst will assist in the collection, processing, and analysis of data to help drive business insights. This role requires an analytical mindset, proficiency in data analysis tools, and the ability to present actionable insights to business stakeholders. Key Responsibilities: Data Collection & Preparation - Gather, clean, and preprocess large datasets from multiple sources Ensure data accuracy and consistency Collaborate with functional teams, tech teams to improve data pipelines Data Analysis - Identify trends and patterns through exploratory data analysis Apply statistical methods to derive insights Build and maintain dashboards and reports Reporting & Communication - Present actionable insights to support business decisions Work with teams across sourcing, category and operations Simplify complex data findings for non-technical stakeholders Supply chain and operations improvement - Conduct data-driven research and analysis to improve process efficiency of sourcing activities Conduct partner evaluations across performance KPIs and suggest corrective aciton Tool Proficiency - Very strong in Excel, Power BI and experience in SQL, Python etc. Automate tasks and build visual reports Continuous Improvement - Stay updated with data trends and tools Improve processes in data handling and reporting Qualifications: Educational Background: Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or related field. Experience: 0-2 years of experience in data analysis or related fields (internships or academic projects can be considered). Ability to clearly communicate complex data insights to stakeholders. Strong problem-solving abilities with attention to detail. Knowledge of machine learning or AI concepts can be advantageous.

Bangalore,Karnataka,India Job ID 768928 Join our Team About this opportunity: We are looking for a skilled and motivated AI/ML & GenAI Engineer to join our team and drive innovation through cutting-edge artificial intelligence and machine learning solutions. In this role, you will be responsible for designing, developing, and deploying scalable AI models—including large language models (LLMs)—to solve real-world business challenges. You'll work across the full machine learning lifecycle, from data preparation to production deployment, leveraging modern MLOps practices and cloud technologies such as AWS and Azure. This role offers a unique opportunity to contribute to impactful projects in a collaborative, fast-paced, and technology-driven environment. What you will do: Develop, Train, Test, and Deploy Machine Learning and GenAI-LLM models. Collect, Clean, and preprocess large-scale datasets for AI/ML training and evaluation. Collaborate with cross-functional teams to understand business needs and translate them into AI solutions. Design and implement scalable AI services and pipelines using Python and Cloud technologies (e.g., Azure, AWS). Continuously improve model performance through tuning, optimization, and retraining. Knowledge of MLOps practices to use IaC to deploy models into production and industrialising the business solution. The skills you bring: Strong expertise in AWS services: Glue, SageMaker, Lambda, CloudWatch, S3, IAM, etc. Solid programming skills in Python and experience with PySpark for large-scale data processing. Experience with DevOps/MLOps tools such as Azure DevOps, GitHub Actions. Education Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field. Experience Experience: 2-5 years of hands-on experience Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?

Job Information Date Opened 06/23/2025 Job Type Full time Industry Technology State/Province Karnataka Zip/Postal Code 560048 City Bangalore Country India About Us At Innover, we endeavor to see our clients become connected, insight-driven businesses. Our integrated Digital Experiences, Data & Insights and Digital Operations studios help clients embrace digital transformation and drive unique outstanding experiences that apply to the entire customer lifecycle. Our connected studios work in tandem to reimagine the convergence of innovation, technology, people, and business agility to deliver impressive returns on investments. We help organizations capitalize on current trends and game-changing technologies molding them into future-ready enterprises. Take a look at how each of our studios represents deep pockets of expertise and delivers on the promise of data-driven, connected enterprises. Job Description About the Role We are seeking a motivated and talented Test Automation Engineer to join our Quality Assurance team. This role is ideal for individuals with a strong work ethic, a passion for learning, and expertise in designing automation solutions enhanced by AI. You’ll thrive in our collaborative, innovative environment, working on impactful projects to ensure the quality of cutting-edge web applications. The ideal candidate excels at managing multiple tasks, meeting deadlines, and leveraging tools like Playwright and Python , alongside AI techniques, to optimize testing efficiency and deliver precise, scalable results. While financial domain knowledge is a plus, it’s not required. Key Responsibilities Develop Automation Scripts: Create and maintain automated test scripts using Playwright with Python to validate web applications, ensuring cross-browser compatibility, dynamic content handling, and complex interactions like data grid sorting, filtering, and validation. Maintain Automation Suites: Manage and enhance automation suites for sanity checks, smoke testing, regression testing, and API testing, integrating with CI/CD pipelines (e.g., GitHub Actions, Jenkins). Data Management for Testing: Preprocess and manage large datasets using SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB ) databases to support AI models and test data integrity. Optimize Testing Workflows: Fine-tune Playwright scripts and AI models for performance, scalability, and reliability, minimizing false positives and ensuring robust test coverage. Review and Troubleshoot: Analyze automated test runs, troubleshoot failures, and report defects with clear, actionable insights, generating automated HTML or JUnit XML reports for stakeholders. Collaborate Across Teams: Work with QA analysts, developers, and data scientists to align automation and AI solutions with project goals, supporting manual testing when needed. Documentation: Responsible for technical specifications and guide for automation process and the design of test cases from User Stories when needed. Stay Current with Trends: Continuously adopt advancements in Playwright, Python, AI technologies, and testing best practices to enhance QA capabilities. What We’re Looking For Must-Have Qualifications Education: Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Experience: 5+ years in test automation, with a focus on QA applications. Proven expertise in developing Playwright with Python automation scripts for web testing, including locators (e.g., CSS, XPath, text), cross-browser testing, and API interactions. Hands-on experience with AI-driven testing solutions (e.g., test case optimization, defect prediction). Technical Skills: Advanced proficiency in Python for automation and AI development (please list additional coding languages you’re experienced in, e.g., Java, JavaScript, or C#). Expertise in Playwright for web automation; familiarity with other tools (e.g., Selenium, Cypress, Appium) is a plus. Strong knowledge of AI techniques (e.g., supervised/unsupervised learning, NLP, anomaly detection) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience with SQL databases for test data management. Familiarity with CI/CD tools (e.g., GitHub Actions, Jenkins), REST API testing (e.g., Postman), and data-driven testing frameworks . Hands-on experience with cloud platforms (e.g., Azure , AWS ) for testing in cloud-based environments. Knowledge of Playwright fixtures and pytest for structured QA automation. Soft Skills: Exceptional attention to detail to ensure error-free automation and high-quality outcomes. Strong problem-solving skills to independently troubleshoot challenges. Excellent communication and collaboration skills to work with cross-functional teams. Ability to manage multiple priorities in a fast-paced environment with a willingness to learn and ask questions. Nice to Have Basic understanding of financial systems or fintech concepts. Experience with performance testing tools (e.g., JMeter, LoadRunner). Certifications in AI (e.g., Google Professional Machine Learning Engineer) or test automation (e.g., ISTQB Advanced Test Automation Engineer). Familiarity with version control systems (e.g., Git) and cloud platforms (e.g., GCP).

Metyis is growing! We are looking for a Data Science Associate with 3+ years of experience to join our Data and Analytics team in Gurgaon, India. Who we are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What we offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What you will do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What you’ll bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

Metyis is growing! We are looking for a Data Science Associate with 3+ years of experience, to join our Data and Analytics team in Bangalore, India. Who we are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What we offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What you will do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What you’ll bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

Job Title: AI/ML Engineering Intern – Intern-to-Hire Location: Marathahalli, Bangalore Work Schedule: Monday to Saturday (Alternate Saturdays Off), 10:30 AM – 7:30 PM About the Role – Intern-to-Hire Opportunity We are looking for a high-potential AI/ML Engineering Intern who is passionate about open-source technologies and AI applications in the Banking, Financial Services, and Insurance (BFSI) domain. This is a 3 to 6-month internship with a structured path to full-time employment (CTC: ₹4.5 LPA) based on performance. This is an excellent opportunity for fresh graduates to gain hands-on experience with Large Language Models (LLMs), AI product development, and scalable machine learning solutions in a high-impact industry setting. Stipend & Conversion Path Internship Duration: 3 to 6 Months Stipend: ₹15,000 per month Post-Internship Conversion: Full-time role with CTC ₹4.5 LPA , based on successful completion and performance evaluation Key Responsibilities Assist in the development and fine-tuning of AI/ML solutions tailored for BFSI use cases Work with AI engineers, data scientists, and product teams to translate business problems into AI solutions Preprocess datasets, implement model workflows, and run performance evaluations Conduct research and experiments on LLM use cases (e.g., chatbots, document automation, fraud analytics) Document code, models, and experimental results clearly and consistently Stay updated with trends in AI, LLM frameworks, and open-source ecosystems (e.g., LangChain, Ollama) Eligibility & Requirements Bachelor's Degree (2023 or 2024 pass-out) in AI/ML Engineering , Computer Science, Data Science, or a related field Strong coding skills in Python (or Java) and understanding of machine learning concepts Exposure to ML frameworks like TensorFlow , PyTorch , or Hugging Face Transformers Familiarity with open-source LLM ecosystems and libraries (LangChain, Ollama, etc.) is a strong plus Good understanding of statistics, data structures, and model evaluation techniques Strong analytical mindset and self-learning ability Effective communication skills and the ability to collaborate in a team Interview Process (Intern-to-Hire Track) Technical Round – Evaluation of ML/LLM fundamentals and coding skills Product/Project Round – Understanding of BFSI use cases and solution approach HR & Communication Round – Evaluation of team fit and professional readiness Note: Use of AI agents or search tools during technical interviews is strictly prohibited . All coding tests will be monitored. Location & Work Mode On-site role at our office in Marathahalli, Bangalore Workdays: Monday to Saturday (Alternate Saturdays Off) Timings: 10:30 AM to 7:30 PM Why Join Us? Hands-on experience in developing real-world AI products Learn from experienced AI engineers and product leaders Clear path to full-time employment with long-term career potential in BFSI AI innovation Exposure to fast-evolving LLM and open-source tech stacks

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 23rd June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 23rd June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 23rd June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Work Level : Individual Core : Communication Skills, Problem Solving, Execution Leadership : Decisive, Team Alignment, Working Independently Industry Type : IT Services & Consulting Function : Data Analyst Key Skills : Data Analytics,Data Analysis,Python,R,MySQL,Cloud,AWS,Bigdata,Big Data Platforms,Business Intelligence (BI),Tableau,Data Science,Statistical Modeling Education : Graduate Note: This is a requirement for one of the Workassist Hiring Partner Responsibilities: This is a Remote Position. Collect, clean, and preprocess data from various sources. Perform exploratory data analysis (EDA) to identify trends and patterns. Develop dashboards and reports using tools like Excel, Power BI, or Tableau. Use SQL to query and manipulate large datasets. Assist in building predictive models and performing statistical analyses. Present insights and recommendations based on data findings. Collaborate with cross-functional teams to support data-driven decision-making. Company Description Workassist is an online recruitment and employment solution platform based in Lucknow, India. We provide relevant profiles to employers and connect job seekers with the best opportunities across various industries. With a network of over 10,000+ recruiters, we help employers recruit talented individuals from sectors such as Banking & Finance, Consulting, Sales & Marketing, HR, IT, Operations, and Legal. We have adapted to the new normal and strive to provide a seamless job search experience for job seekers worldwide. Our goal is to enhance the job seeking experience by leveraging technology and matching job seekers with the right employers. For a seamless job search experience, visit our website: https://bit.ly/3QBfBU2 (Note: There are many more opportunities apart from this on the portal. Depending on the skills, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 23rd June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

We're Hiring: Junior Research Fellow (JRF) 📍 Location: Division of Crop Protection, ICAR-Indian Sugarcane Research Institute, Lucknow 🧪 Project: “Development of a smartphone-based digital support system for the efficient monitoring of multiple diseases of sugarcane in India” 🕒 Duration: 1 year (extendable up to 3 years based on performance) 💼 Vacancy: 1 Position 💰 Stipend: ₹37,000 + HRA per month as per norms 🔍 Role Summary We’re looking for a motivated and skilled Junior Research Fellow to join our multidisciplinary research project focused on applying AI, mobile technologies, and deep learning to support disease monitoring in sugarcane. This role is an opportunity to contribute to meaningful agricultural innovation, collaborate in an interdisciplinary environment, and grow technically while creating real-world impact. Success in this role means being proactive, technically proficient, and committed to research excellence. Key Responsibilities Curate, label, and preprocess datasets related to sugarcane disease imaging. Develop and optimize deep learning models for disease classification and prediction. Collaborate in the design and testing of an interactive mobile application for field use. Document findings, maintain code repositories, and contribute to scientific publications. Coordinate with the team for data collection, model validation, and stakeholder engagement. 🎓 Qualifications Education: M.Sc./M.E./M.Tech. in Computer Science, Information Technology, AI/ML, Mathematics, Electronics, Bioinformatics, Biotechnology, or related disciplines. Preferred: Candidates with GATE/NET qualification. Skills Required: Python programming Deep learning frameworks (e.g., TensorFlow, PyTorch) Dataset preprocessing and annotation Mobile app development (Android preferred) Research writing and documentation Eligibility Age Limit: 21 to 35 years (relaxation as per Government rules) Terms: The position is purely temporary and contractual, governed by ICAR norms. How to Apply Shortlisted candidates will be contacted for an interview. Interested applicants should send their updated CVs and relevant documents to: 📨 Dr. Chandramani Raj Principal Investigator, Division of Crop Protection 📱 +91 9573811582 📧 Chandramaniiisr2021@gmail.com

Role Overview: We are looking for a technically strong AI/NLP Engineer to design and build scalable conversational AI systems using a layered, hybrid approach. You will develop classical ML and rule-based NLP pipelines for intent recognition, entity extraction, and dialogue management, and escalate to fine-tuning and integrating large language models (LLMs) like LLaMA when higher-level understanding or generation is required. Your work will enable efficient, maintainable, and cost-effective chatbot and AI applications by combining the best of traditional NLP/ML and state-of-the-art LLM capabilities. Key Responsibilities: • Design, develop, and optimize rule-based NLP and classical ML pipelines (intent classification, slot filling, pattern matching) for conversational AI. • Fine-tune and adapt large language models (e.g., LLaMA) using LoRA, PEFT, and instruction tuning for complex or ambiguous use cases. • Build and maintain retrieval-augmented generation (RAG) pipelines using vector search engines (FAISS, Pinecone). • Architect modular chatbot systems combining classical ML, rule-based, and LLM components for robust and scalable solutions. • Preprocess and curate datasets for both classical ML training and LLM fine-tuning. • Optimize GPU-based training workflows with tools like Hugging Face Accelerate, DeepSpeed, and manage distributed training. • Develop and execute evaluation metrics and testing protocols to assess both classical models and LLM outputs. • Collaborate with engineering teams to deploy conversational AI models into production systems. • Stay current with latest research and best practices in NLP, ML, and LLM fine-tuning. Required Skills & Experience: • 2 years experience with NLP, classical ML, and LLM fine-tuning. • Strong proficiency in classical ML algorithms (SVM, logistic regression, decision trees) and NLP techniques (regex, rule-based parsing, intent/entity extraction). • Hands-on experience fine-tuning large language models (LLaMA, GPT, Falcon) using LoRA, PEFT, or related methods. • Proficient with NLP and ML libraries: scikit-learn, spaCy, Hugging Face Transformers, NLTK. • Experience building retrieval-augmented generation pipelines with vector databases (FAISS, Pinecone). • Familiarity with distributed GPU training and memory optimization techniques. • Strong Python programming and software engineering skills. • Ability to design modular, maintainable ML/NLP systems combining different techniques. • Experience working in cross-functional teams and clearly communicating technical concepts

About You Are you passionate about leveraging artificial intelligence (AI) and machine learning (ML) to help drive product excellence? Do you want to work closely with our experienced team members on tasks ranging from data preprocessing to model development and deployment? Are you ready to gain hands-on experience in AI/ML technologies while working on real-world problems? Prescient is seeking highly motivated AI/ML interns to join our dynamic and growing team in Gurgaon. Do you possess: Knowledge of general AI/ML through coursework, internships or personal projects? Attention to detail, a learning mindset, efficient time-management skills, professionalism and a strong work ethic? If so, consider turning your knowledge and passion for AI/ML into a valuable career at Prescient. About InflexionRx ® (proprietary product of Prescient Healthcare Group) At Prescient, we constantly strive to evolve and maximise the value of intelligence. InflexionRx is our proprietary software platform designed to enhance how our clients interact with the insight we develop, helping them make quicker, more informed and better aligned decisions. About the Opportunity You will be part of a fast-growing PE-backed business that allows high-performing employees to make an impact and contribute to growing the business. You will have the chance to channel your experience into supporting the development of our enterprise software system. Reporting : You will report to a senior member of the software development team within Prescient’s India office Roles and Responsibilities Data Collection and Preprocessing: Collect, clean and preprocess data from various sources for use in ML models Perform exploratory data analysis to gain insights into the dataset and identify patterns Model Development: Assist in the development and implementation of ML algorithms and models Conduct experiments to fine-tune model parameters and optimise performance metrics Collaborate with team members to integrate ML solutions into existing systems Evaluation and Testing: Design and execute tests to evaluate the performance and robustness of ML models Analyse experimental results and provide insights to improve model accuracy and efficiency Required Experience and Skills: As an ideal candidate, you will have: One or more of the following educational degrees: bachelor’s/master’s degree in computer/data science or related field Strong programming skills in Python or any other object-oriented programming language Good to have: Knowledge of transformers, large language models and NLP techniques Familiarity with ML libraries and frameworks such as TensorFlow, PyTorch and scikit-learn Understanding of data structures, algorithms and statistical concepts Knowledge of data manipulation and analysis using tools such as pandas and NumPy Ability to analyse and solve problems with attention to detail Effective communication and teamwork abilities What We Offer Opportunity to learn from experienced professionals and gain valuable industry insights Platform for accelerated professional development and growth with significant levels of on-the-job experience Potential for future full-time employment opportunities based on performance About Prescient Healthcare Group Prescient® is a pharma services firm specialising in dynamic decision support and product and portfolio strategy. We partner with our clients to turn science into value by helping them understand the potential of their molecules, shaping their strategic plans and allowing their decision making to be the biggest differentiating factor in the success of their products. When companies partner with Prescient, the molecules in their hands have a greater potential for success than the same science in the hands of their competitors. Founded in 2007, Prescient is a global firm with a footprint in ten cities across three continents. Our team of nearly 500 experts partners with 27 of the top 30 biopharmaceutical companies, the fastest-growing mid-caps and cutting-edge emerging biotechs, including some of the biggest and most innovative brands. More than 70% of our employees hold advanced life sciences degrees, and our teams deliver an impressive depth of therapeutic, clinical and commercial expertise. Prescient has been a portfolio company of Bridgepoint Development Capital since 2021 and Baird Capital since 2017. For more information, please visit: www.prescienthg.com. We are an equal opportunity employer and fully comply with applicable legislation in all of the geographies in which we operate. Applicants are considered for positions without regard to veteran status, uniformed service member status, race, colour, religion, sex, national origin, age, physical or mental disability, genetic information or any other category protected by applicable national, federal, state or local laws.

We are looking for a passionate and curious Entry-Level AI & Machine Learning Engineer to join our innovative team. You will work on designing, developing, and deploying AI and ML models that drive intelligent features and automation across our products and services, with a focus on object detection, tracking, and reinforcement learning applications. Responsibilities Assist in developing machine learning models and algorithms for object detection, tracking, and reinforcement learning tasks. Analyze and preprocess large datasets, including annotated images and videos, for training and evaluation. Implement and optimize AI/ML models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Collaborate with software engineers and data scientists to integrate models into production systems. Participate in research and experimentation to improve model accuracy, efficiency, and robustness. Document processes and maintain reproducible workflows. Experience Level 0-2 years Requirements Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, or related field. Strong foundation in Python and C++ programming for AI/ML development. Basic understanding of machine learning algorithms and data structures. Familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Knowledge of computer vision techniques, especially object detection and tracking algorithms (e.g., YOLO, SSD, SORT, Deep SORT). Basic understanding of reinforcement learning concepts and algorithms. Knowledge of data preprocessing, feature engineering, and model evaluation techniques. Analytical mindset with strong problem-solving skills. Eagerness to learn and adapt in a fast-paced environment. Qualifications Internship or project experience in AI/ML, computer vision, or reinforcement learning. Understanding of deep learning concepts and neural networks. Experience with cloud platforms (AWS, Azure, GCP) for ML deployment. Familiarity with NLP or other AI subfields is a plus.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 22nd June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

Artificial Intelligence & Machine Learning Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is a forward-thinking edtech startup offering project-driven virtual internships that prepare students for today’s competitive tech landscape. Our AI & ML Internship is designed to immerse you in real-world applications of machine learning and artificial intelligence, helping you develop job-ready skills through hands-on projects. 🚀 Internship Overview As an AI & ML Intern , you will explore machine learning algorithms, build predictive models, and work on projects that mimic real-world use cases—ranging from recommendation systems to AI-based automation tools. You’ll gain experience with Python, Scikit-learn, TensorFlow , and more. 🔧 Key Responsibilities Work on datasets to clean, preprocess, and prepare for model training Implement machine learning algorithms (regression, classification, clustering, etc.) Build and test models using Scikit-learn, TensorFlow, Keras , or PyTorch Analyze model performance and optimize using evaluation metrics Collaborate with mentors to develop AI solutions for business or academic use cases Present findings and document all steps of the model-building process ✅ Qualifications Pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, or related fields Proficient in Python and familiar with data science libraries (NumPy, Pandas, Matplotlib) Basic understanding of machine learning concepts and algorithms Experience with tools like Jupyter Notebook , Google Colab , or similar platforms Strong analytical mindset and interest in solving real-world problems using AI Enthusiastic about learning and exploring new technologies 🎓 What You’ll Gain Hands-on experience with real-world AI and ML projects Exposure to end-to-end model development workflows A strong project portfolio to showcase your skills Internship Certificate upon successful completion Letter of Recommendation for high-performing interns Opportunity for a Full-Time Offer based on performance

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 22nd June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

AI and Machine Learning Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The AI and Machine Learning Internship is crafted to provide practical exposure to building intelligent systems, enabling interns to bridge theoretical knowledge with real-world applications. Role Overview: As an AI and Machine Learning Intern, you will work on projects involving data preprocessing, model development, and performance evaluation. This internship will strengthen your skills in algorithm design, model optimization, and deploying AI solutions to solve real-world problems. Key Responsibilities: Collect, clean, and preprocess datasets for training machine learning models Implement machine learning algorithms for classification, regression, and clustering Develop deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance using metrics such as accuracy, precision, and recall Collaborate on AI-driven projects, such as chatbots, recommendation engines, or prediction systems Document code, methodologies, and results for reproducibility and knowledge sharing Qualifications: Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field Strong foundation in Python and understanding of libraries such as Scikit-learn, NumPy, Pandas, and Matplotlib Familiarity with machine learning concepts like supervised and unsupervised learning Experience or interest in deep learning frameworks (TensorFlow, Keras, PyTorch) Good problem-solving skills and a passion for AI innovation Eagerness to learn and contribute to real-world ML applications Internship Benefits: Hands-on experience with real-world AI and ML projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of AI models and machine learning solutions

Job Title: Data Analysis Intern Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: Data & Analytics Job Summary: We are seeking a detail-oriented and analytical Data Analysis Intern to join our remote data team. This internship is ideal for individuals looking to apply their skills in statistics, data handling, and business intelligence to real-world problems. You will gain hands-on experience with data tools and contribute to meaningful data-driven decision-making. Key Responsibilities: Collect, clean, and preprocess data from various sources Perform exploratory data analysis (EDA) and identify trends, patterns, and insights Create visualizations and dashboards to present findings using tools like Excel, Power BI, or Tableau Assist in building reports and communicating insights to different teams Document analytical processes and ensure data accuracy and consistency Collaborate with cross-functional teams to support ongoing data initiatives Qualifications: Bachelor’s degree (or final year student) in Data Science, Statistics, Computer Science, Economics, or related field Strong skills in Excel, SQL, and Python or R Understanding of basic statistical concepts and data analysis techniques Familiarity with data visualization tools such as Power BI, Tableau, or Matplotlib Good problem-solving skills and attention to detail Ability to work independently in a remote environment Preferred Skills (Nice to Have): Experience working with large datasets or real-world business data Knowledge of A/B testing, correlation analysis, or regression techniques Exposure to data cleaning and automation tools Familiarity with Jupyter Notebooks, Google Sheets, or cloud data tools What We Offer: Monthly stipend of ₹25,000 100% remote internship Exposure to real-world business and product data Mentorship from experienced data analysts and domain experts Certificate of Completion Opportunity for full-time placement based on performance