Hiring for top Unicorns & Soonicorns of India! We’re looking for a Machine Learning Engineer who thrives at the intersection of data, technology, and impact. You’ll be part of a fast-paced team that leverages ML/AI to personalize learning journeys, optimize admissions, and drive better student outcomes. This role is ideal for someone who enjoys building scalable models and deploying them in production to solve real-world problems. What You’ll Do Build and deploy ML models to power intelligent features across the Masai platform — from admissions intelligence to student performance prediction. Collaborate with product, engineering, and data teams to identify opportunities for ML-driven improvements. Clean, process, and analyze large-scale datasets to derive insights and train models. Design A/B tests and evaluate model performance using robust statistical methods. Continuously iterate on models based on feedback, model drift, and changing business needs. Maintain and scale the ML infrastructure to ensure smooth production deployments and monitoring. What We’re Looking For 2–4 years of experience as a Machine Learning Engineer or Data Scientist. Strong grasp of supervised, unsupervised, and deep learning techniques. Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, etc.). Experience with data wrangling tools like Pandas, NumPy, and SQL. Familiarity with model deployment tools like Flask, FastAPI, or MLflow. Experience working with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes) is a plus. Ability to translate business problems into machine learning problems and communicate solutions clearly. Bonus If You Have Experience working in EdTech or with personalized learning systems. Prior exposure to NLP, recommendation systems, or predictive modeling in a consumer-facing product. Contributions to open-source ML projects or publications in the space. Skills: machine learning,flask,python,scikit-learn,tensorflow,pytorch,azure,sql,pandas,models,docker,mlflow,data analysis,aws,kubernetes,ml,artificial intelligence,fastapi,gcp,numpy Show more Show less

Job Title: 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: 15th 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! 🚀 Show more Show less

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications : • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Show more Show less

CSQ326R35 The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines into production. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. This role can be remote. The Impact You Will Have Develop LLM solutions on customer data, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation Help customers solve tough problems across industries like Health and Life Sciences, Finance, Retail, Startups, and many others Build, scale, and optimize customer data science workloads across industries and apply best-in-class MLOps to productionize these workloads Advise data teams on data science architecture, tooling, and best practices Provide thought leadership by presenting at conferences such as Data+AI Summit and mentoring the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap What We Look For Experience in building Generative AI applications, including RAG, agents, Text2SQL, fine-tuning, and deploying LLMs, using tools such as HuggingFace, Langchain, and OpenAI 4-10 years of hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, MLflow, scikit-learn, and PyTorch Experience in building production-grade ML or GenAI deployments on AWS, Azure, or GCP. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience in communicating and teaching technical concepts to both non-technical and technical audiences Passion for collaboration, life-long learning, and driving business value through ML [Preferred] Experience working with Databricks and Apache Spark™ About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Show more Show less

Hiring for top Unicorns & Soonicorns of India! We’re looking for a Machine Learning Engineer who thrives at the intersection of data, technology, and impact. You’ll be part of a fast-paced team that leverages ML/AI to personalize learning journeys, optimize admissions, and drive better student outcomes. This role is ideal for someone who enjoys building scalable models and deploying them in production to solve real-world problems. What You’ll Do Build and deploy ML models to power intelligent features across the Masai platform — from admissions intelligence to student performance prediction. Collaborate with product, engineering, and data teams to identify opportunities for ML-driven improvements. Clean, process, and analyze large-scale datasets to derive insights and train models. Design A/B tests and evaluate model performance using robust statistical methods. Continuously iterate on models based on feedback, model drift, and changing business needs. Maintain and scale the ML infrastructure to ensure smooth production deployments and monitoring. What We’re Looking For 2–4 years of experience as a Machine Learning Engineer or Data Scientist. Strong grasp of supervised, unsupervised, and deep learning techniques. Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, etc.). Experience with data wrangling tools like Pandas, NumPy, and SQL. Familiarity with model deployment tools like Flask, FastAPI, or MLflow. Experience working with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes) is a plus. Ability to translate business problems into machine learning problems and communicate solutions clearly. Bonus If You Have Experience working in EdTech or with personalized learning systems. Prior exposure to NLP, recommendation systems, or predictive modeling in a consumer-facing product. Contributions to open-source ML projects or publications in the space. Skills: machine learning,flask,python,scikit-learn,tensorflow,pytorch,azure,sql,pandas,models,docker,mlflow,data analysis,aws,kubernetes,ml,artificial intelligence,fastapi,gcp,numpy Show more Show less

--------- UNPAID INTERNSHIP --------- Are you passionate about cutting-edge technologies and eager to gain hands-on experience in machine vision, desktop application development, and industrial automation? At Volcan Vision and Automation, we are looking for a skilled and driven PyQt5 Desktop App - Software Developer Intern to help us build robust, high-performance desktop applications for our next-generation machine vision systems. You’ll work with real-world hardware, deep learning models, and sophisticated networking protocols in a dynamic and fast-paced environment. Responsibilities: Develop a desktop application to interface with machine vision cameras and PLCs. Design and implement computer vision modules for seamless integration within the desktop application Integrate image acquisition from machine vision cameras into the application. Establish Ethernet communication between the application and PLC for data exchange. Display input images, inspection results, and real-time feedback on the application interface. Debug and optimize application performance for industrial deployment. Required Skills: Qualifications - 3rd/Final Year Student Programming Languages: Proficiency in Python, with knowledge of libraries like OpenCV, TensorFlow, or PyTorch. Desktop App Development: Familiarity with PyQt frameworks for building graphical user interfaces (GUIs). Machine Vision: Understanding of image processing concepts and working with industrial cameras. Networking: Knowledge of Ethernet communication protocols for interfacing with PLCs. Industrial Automation: Basic understanding of PLCs and industrial communication standards. Preferred Qualifications: Prior experience with developing desktop apps. Knowledge of Computer Vision Algorithms Knowledge of Network Engineering Perks and Benefits: Completion Certification: Recognizing your contribution to our innovative projects. Bonuses: Performance-based financial incentives. Networking: Collaborate with experienced professionals in a growing industry. Duration: The internship duration is 2-6 months, with the possibility of extending or converting into a full-time opportunity based on performance. Location: On-site/Remote/Hybrid (specifics based on mutual agreement). Ready to take on this exciting challenge and accelerate your career in machine vision and automation? Apply Show more Show less

Hiring for top Unicorns & Soonicorns of India! We’re looking for a Machine Learning Engineer who thrives at the intersection of data, technology, and impact. You’ll be part of a fast-paced team that leverages ML/AI to personalize learning journeys, optimize admissions, and drive better student outcomes. This role is ideal for someone who enjoys building scalable models and deploying them in production to solve real-world problems. What You’ll Do Build and deploy ML models to power intelligent features across the Masai platform — from admissions intelligence to student performance prediction. Collaborate with product, engineering, and data teams to identify opportunities for ML-driven improvements. Clean, process, and analyze large-scale datasets to derive insights and train models. Design A/B tests and evaluate model performance using robust statistical methods. Continuously iterate on models based on feedback, model drift, and changing business needs. Maintain and scale the ML infrastructure to ensure smooth production deployments and monitoring. What We’re Looking For 2–4 years of experience as a Machine Learning Engineer or Data Scientist. Strong grasp of supervised, unsupervised, and deep learning techniques. Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, etc.). Experience with data wrangling tools like Pandas, NumPy, and SQL. Familiarity with model deployment tools like Flask, FastAPI, or MLflow. Experience working with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes) is a plus. Ability to translate business problems into machine learning problems and communicate solutions clearly. Bonus If You Have Experience working in EdTech or with personalized learning systems. Prior exposure to NLP, recommendation systems, or predictive modeling in a consumer-facing product. Contributions to open-source ML projects or publications in the space. Skills: machine learning,flask,python,scikit-learn,tensorflow,pytorch,azure,sql,pandas,models,docker,mlflow,data analysis,aws,kubernetes,ml,artificial intelligence,fastapi,gcp,numpy Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Show more Show less

About Company Our client is a trusted global innovator of IT and business services. We help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe Job Title: Senior Data Scientist - AI Location: Bangalore Experience: 8 to 12 yrs Job Type : Contract to hire Notice Period:- Immediate joiner Description: POSITION OVERVIEW : ITSS-Data Scientist Good candidates would have 2-4 Years of experience in AI related skills (and 7+ overall exp.) • Developing and Implementing AI Models: This includes designing and building machine learning models, selecting appropriate algorithms, and training them on large datasets. • Data Analysis and Preparation: AI engineers need to analyze data, identify patterns, and prepare it for use in AI models. • Collaborating with Cross-Functional Teams: Working with data scientists, software engineers, product managers, and stakeholders to ensure AI solutions meet business needs. • Productionizing AI Models: Deploying AI models into production environments, ensuring they are scalable and reliable. • Monitoring and Maintaining AI Systems: Continuously monitoring the performance of AI models, making adjustments as needed, and ensuring they remain up-to-date. • Building and Maintaining AI Infrastructure:This includes creating and managing the infrastructure needed to support AI development and deployment. Skills: • Strong Programming Skills: Proficiency in languages like Python, Java, or R. • Machine Learning Expertise: Knowledge of various machine learning algorithms and frameworks, such as TensorFlow or PyTorch. • Data Analysis Skills: Proficiency in analyzing and interpreting data to identify patterns and insights. • Software Engineering Principles: Understanding of software development best practices, including design patterns and coding standards. • Communication and Collaboration Skills: Ability to effectively communicate technical concepts to both technical and non-technical audiences. • Problem-Solving Skills: Ability to identify and solve complex technical problems. Qualifications Bachelor's degree in Computer Science (or related field) Show more Show less

The future of open source AI starts with you. At Red Hat, we’re looking for engineers who want to become an integral part of democratizing Al technology, making open source AI available and accessible to all. Al Engineering is a newly formed team where you'll have the scope and impact to make your mark and get your ideas into people's hands. Red Hat's open culture fosters collaboration and allows the best ideas to grow. You will have the opportunity to actively participate in communities like KServe, Kubeflow, and VLLM, and be part of a team that values and expects contributions from all levels. Here, you'll have freedom to innovate, and to focus on challenging, high-impact work that makes a difference. We’re looking for Machine Learning Engineers across two teams: InstructLab and OpenShift AI. In this role, you will build, optimize, and scale machine learning models while contributing to innovative AI-driven solutions, and assisting users in understanding ML predictions. During the hiring process, we'll work with you to determine the best team placement based on your background and interests. While the core job requirements remain consistent, your day-to-day responsibilities will align with your chosen team's objectives. Successful applicants must reside in a country where Red Hat is registered to do business. What You Will Do Specific responsibilities will vary based on team placement, but may include: Design and implement machine learning systems Develop and optimize ML models for production use Create and maintain ML infrastructure and pipelines Ensure ML systems are scalable and maintainable Collaborate with data scientists to productionize models Collaborate closely with researchers, software developers, and upstream AI/ML communities What You Will Bring Experience in AI development, deep learning, machine learning libraries (e.g. pytorch, scikit-learn), prompt engineering, and/or fundamental mathematics Experience in feature engineering Experience in Go or Python development Experience in Kubernetes, OpenShift, Docker, or other cloud-native technologies Experience in agile development, Jira, and Git Ability to quickly learn and use new tools and technologies Excellent written and verbal communication skills #AI-HIRING About Red Hat Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply. Show more Show less

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 Show more Show less

About the company RENXO Technologies is a fast-growing startup building cutting-edge technology solutions across industries — from AI-powered systems to intelligent automation and immersive apps. We're passionate about innovation and creating solutions that make a real difference. As we scale up, we’re inviting motivated Software Development Interns to join our dynamic teams. This is a hands-on opportunity to contribute to live projects and core product development. You’ll work closely with experienced engineers and architects in a fast-paced, learning-rich environment. If you’re passionate about technology — whether it's writing AI models, programming microcontrollers, building mobile apps, designing intuitive web interfaces, or creating scalable, cloud-native backends — we want you on our team! Internship Tracks Please indicate your preferred area(s) of interest when applying: 1. AI/ML & Generative AI Develop ML and DL models for real-world applications. Work with large language models (LLMs), embeddings, vector databases, NLP, and GenAI tools. Build computer vision pipelines using OpenCV, YOLO, OCR, or pose estimation. Work on data analytics, prediction, prioritization, and optimization solutions. Exposure to HuggingFace, LangChain, PyTorch, or TensorFlow is a plus. 2. Embedded & Edge Development Work on low-level embedded systems using C, MicroPython, or CircuitPython. Develop firmware for sensors, controllers, and custom hardware on ESP32, Arduino, Raspberry Pi, or STM32. Interface with peripherals, and optimize power, memory, and timing. Exposure to real-time systems and protocols like I2C, SPI, UART, or CAN is a bonus. 3. Backend Development (Golang/Python) Design and develop scalable backend services and REST APIs. Work with databases (NoSQL and SQL) and cloud platforms. Implement CI/CD pipelines, logging, monitoring, and authentication systems. Collaborate closely with frontend and AI teams to deliver end-to-end features. 4. Mobile App Development (Android/iOS) Build mobile applications using Kotlin, SwiftUI, or Flutter. Translate Figma designs into high-performance mobile experiences. Integrate REST APIs, handle local storage, and optimize responsiveness. Learn best practices in app lifecycle management, performance tuning, and security. 5. Frontend & Web Development (SvelteKit) Build modern, responsive UIs using SvelteKit and TailwindCSS. Connect frontend with backend and AI services via APIs and WebSockets. Implement clean UX flows, animations, and state management. Work on admin panels, dashboards, and client-facing applications. Build Progressive Web Apps (PWAs) for mobile. 6. Game & 3D Development (Unity) Build interactive 3D views for business and consumer apps. Contribute to multiplayer game development: implement gameplay mechanics, animations, audio, and AI behaviors. Explore Unity’s physics, networking, and UI systems. Develop rapid prototypes or simulation tools for internal or client use. Responsibilities Contribute code to live customer projects and core product features. Work with and learn from senior developers and architects. Collaborate with cross-functional teams using hybrid-agile workflows. Learn and implement development best practices, tools, and patterns. Continuously explore new technologies and contribute ideas. Basic Qualifications Currently pursuing or recently completed a Bachelor’s degree in CS, IT, ECE, or a related field. Good problem-solving ability and a genuine curiosity for learning. Basic knowledge of programming languages such as Python, Go, C/C++/C#, Kotlin, Dart, Swift, or JavaScript. Understanding of software design fundamentals and version control (Git). Preferred Qualifications Personal, academic, or open-source projects in relevant fields. Familiarity with GitHub, Figma, Linux, or cloud platforms such as AWS or GCP. Prior internship, freelance, or hackathon experience. Strong communication and teamwork skills. 🚀 Why Join RENXO Technologies? Hands-on experience with real-world, cutting-edge products. Work on live customer projects and product development. Friendly, collaborative startup culture that encourages learning and ownership. Direct mentorship from senior engineers and architects. Pre-Placement Offers (PPOs) for deserving candidates. Paid internship. How to Apply Please fill out the internship application form https://forms.gle/U4C15wdUYaocZzh68 and submit it along with your resume (including links to your GitHub, portfolio, or project repositories). You may also include a short note or cover letter mentioning your areas of interest and what excites you about tech. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status. Show more Show less

Strong AI/ML OR Software Developer Profile Mandatory (Experience 1) - Must have 3+ YOE in Core Software Developement (SDLC) Mandatory (Experience 2) - Must have 2+ years of experience in AI/ML, preferably in conversational AI domain (spped to text, text to speech, speech emotional recognition) or agentic AI systems. Mandatory (Experience 3) - Must have hands-on experience in fine-tuning LLMs/SLM, model optimization (quantization, distillation) and RAG Mandatory (Experience 4) - Hands-on Programming experience in Python, TensorFlow, PyTorch and model APIs (Hugging Face, LangChain, OpenAI, etc.) Preferred Preferred (Education) - BTech/MTech in Computer Science, AI/ML, or related fields Preferred (Experience 1) - Exposure to agent-based simulation, reinforcement learning, or behavioral modeling Preferred (Experience 2) - Publications, patents, or open-source contributions in conversational AI or GenAI systems Show more Show less

Job Title: Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 15th 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. Show more Show less

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. About Digital Technology We’re not yesterday’s IT department, we're Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centre on transformation, experience, AI-driven automation, innovation, and growth. We’re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it. Ultimately, we strive to make the world work better for our employees and customers when you work in ServiceNow Digital Technology, you work for them Job Description What you get to do in this role: Hiring and onboarding a new scrum team with the focus on Gen Ai and Agentic AI deliverables Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.) Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users. Implement software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs Contribute to the design and implementation of new products and features while also enhancing the existing product suite Be a mentor for colleagues and help promote knowledge-sharing Qualifications To be successful in this role you have: 9 - 11+ overall exp. and 3+years of experience working directly on the design, development and rollout of AI/ML/GenAi Solutions Proven experience in developing highly scalable enterprise applications Proven experience in developing AI-driven enterprise features Strong working experience with JavaScript (server side) is required Working experience developing applications with Relational Databases (MySQL, MariaDB etc) Working experience with LLMs and prompt engineering is a big plus Experience with AI and machine learning frameworks like TensorFlow, PyTorch, or similar is a plus Demonstrate strong problem-solving skills, the ability to collaborate in multidisciplinary teams, and a passion for learning and staying updated with the latest advancements in AI and machine learning. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Show more Show less

Job Title: 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: 15th 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! 🚀 Show more Show less

Greetings from Colan Infotech!! Role - Data Scientist Experience - 3+ Years Job Location - Chennai/Bangalore Notice Period - Immediate to 30 Days Primary Skills Needed : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM Secondary Skills Needed : Keras, OpenCV, Azure or AWS Job Description:- Practical knowledge and working experience on Statistics and Operation Research methods. Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j. Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc. Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models. Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database. Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS Comprehend business issues and propose valuable business solutions. Design Factual or AI/profound learning models to address business issues. Design Statistical Models/ML/DL models and deploy them for production. Formulate what information is accessible from where and how to augment it. Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j Show more Show less

About Illumina Technology Solutions, LLC At Illumina Technology Solutions, we are experiencing rapid growth across the U.S.A., Canada, India, and Pakistan and are proud to be a Microsoft Gold Partner. We are committed to providing technology solutions that help organizations thrive in a fast-changing digital landscape. Our vision is to become a leader in digital transformation for our clients, leveraging the power of the Microsoft digital ecosystem to drive innovation and growth. Visit us at www.illuminatechnology.com About The Role We are seeking a highly skilled AI Lead Engineer—technical Consultant with expertise in designing and developing scalable, high-performance AI solutions. The ideal candidate will have extensive experience in artificial intelligence, machine learning, and generative AI and strong leadership skills to drive innovation and technical excellence. Essential Functions Collaborate with stakeholders, including project managers and technical leads, to define and understand business and technical requirements Design, develop, and optimize AI-powered applications, ensuring scalability, performance, and security Lead discussions on AI architecture, development best practices, and solution design Implement and fine-tune large language models (LLMs) and generative AI applications Apply prompt engineering techniques to enhance AI model interactions and outputs Develop and maintain clean, extensible, and maintainable code using modern programming languages Integrate Azure OpenAI, Copilot Studio, Azure AI Search, and other AI/ML platforms into enterprise solutions Apply debugging tools and analyze system logs to ensure high-quality code and system performance Drive continuous improvements through Agile development, CI/CD, and DevOps best practices Collaborate with cross-functional teams across different geographies to deliver AI-driven solutions that align with business objectives Must Have Skills Hands-on experience with Gen AI development, Prompt engineering, RAG design patterns, and multi-agent workflow automation and integration, preferably via Microsoft AI products like Copilot Exposure and experience working on large-scale data-intensive platforms Hands-on experience with Python and deep learning programming skills using PyTorch, TensorFlow, or similar Exposure to AI performance, consistency, and efficiency improvements Microsoft Specific Certification and Industry Certifications are a must-have Required Qualifications Bachelor’s degree in computer science, Engineering, or a related technical field 10+ years of technical engineering experience with expertise in at least one of the following programming languages: Python, C, C++, C#, Java, JavaScript Experience in Prompt Engineering and LLM fine-tuning Understanding of Azure OpenAI, Copilot Studio, Azure AI Search, and M365 Declarative Agent (Preferred) Experience in large language models (LLM) fine-tuning and prompt engineering Expertise in machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn Experience with AI-driven applications, generative AI, and NLP models Hands-on experience with Agile methodologies and CI/CD pipelines for AI solutions Strong problem-solving skills, with the ability to handle complex and large-scale AI projects Effective communication and collaboration skills to work with remote and diverse teams Preferred Qualifications Experience with Machine Learning Platforms and Systems Prior experience working with Microsoft Cloud-based AI solutions Prior experience leading AI/ML teams and mentoring junior engineers We are an equal opportunity employer. All applicants will be considered for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Show more Show less

About Illumina Technology Solutions, LLC At Illumina Technology Solutions, we are experiencing rapid growth across the U.S.A., Canada, India, and Pakistan and are proud to be a Microsoft Gold Partner. We are committed to providing technology solutions that help organizations thrive in a fast-changing digital landscape. Our vision is to become a leader in digital transformation for our clients, leveraging the power of the Microsoft digital ecosystem to drive innovation and growth. Visit us at www.illuminatechnology.com About The Role We are seeking a highly skilled AI Lead Engineer—technical Consultant with expertise in designing and developing scalable, high-performance AI solutions. The ideal candidate will have extensive experience in artificial intelligence, machine learning, and generative AI and strong leadership skills to drive innovation and technical excellence. Essential Functions Collaborate with stakeholders, including project managers and technical leads, to define and understand business and technical requirements Design, develop, and optimize AI-powered applications, ensuring scalability, performance, and security Lead discussions on AI architecture, development best practices, and solution design Implement and fine-tune large language models (LLMs) and generative AI applications Apply prompt engineering techniques to enhance AI model interactions and outputs Develop and maintain clean, extensible, and maintainable code using modern programming languages Integrate Azure OpenAI, Copilot Studio, Azure AI Search, and other AI/ML platforms into enterprise solutions Apply debugging tools and analyze system logs to ensure high-quality code and system performance Drive continuous improvements through Agile development, CI/CD, and DevOps best practices Collaborate with cross-functional teams across different geographies to deliver AI-driven solutions that align with business objectives Must Have Skills Hands-on experience with Gen AI development, Prompt engineering, RAG design patterns, and multi-agent workflow automation and integration, preferably via Microsoft AI products like Copilot Exposure and experience working on large-scale data-intensive platforms Hands-on experience with Python and deep learning programming skills using PyTorch, TensorFlow, or similar Exposure to AI performance, consistency, and efficiency improvements Microsoft Specific Certification and Industry Certifications are a must-have Required Qualifications Bachelor’s degree in computer science, Engineering, or a related technical field 10+ years of technical engineering experience with expertise in at least one of the following programming languages: Python, C, C++, C#, Java, JavaScript Experience in Prompt Engineering and LLM fine-tuning Understanding of Azure OpenAI, Copilot Studio, Azure AI Search, and M365 Declarative Agent (Preferred) Experience in large language models (LLM) fine-tuning and prompt engineering Expertise in machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn Experience with AI-driven applications, generative AI, and NLP models Hands-on experience with Agile methodologies and CI/CD pipelines for AI solutions Strong problem-solving skills, with the ability to handle complex and large-scale AI projects Effective communication and collaboration skills to work with remote and diverse teams Preferred Qualifications Experience with Machine Learning Platforms and Systems Prior experience working with Microsoft Cloud-based AI solutions Prior experience leading AI/ML teams and mentoring junior engineers We are an equal opportunity employer. All applicants will be considered for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 13th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer 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) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 13th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 13th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer 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) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 13th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Job Title: 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: 15th 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! 🚀 Show more Show less

Job Title: Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 15th 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. Show more Show less

We're looking for an individual with Prior experience building RESTful APIs. Experience with at least one of the backend API frameworks (preferably FastAPI) Hands-on experience with at least one modern ML/AI framework (PyTorch, TensorFlow) Experience integrating LLMs into applications (OpenAI, Anthropic, or open-source) Strong foundation in deep learning concepts and model training workflows Database expertise: schema design, query optimization, both SQL and NoSQL Experience with vector databases (Pinecone, Weaviate, Chroma) for RAG applications Mathematical aptitude: comfortable with statistics, linear algebra, and algorithmic thinking Your daily work would include Working on product features end-to-end (write backend logic, write API, connect APIs in the front end, and build a basic functional UI) Working with RESTful APIs, SQL, and NoSQL databases Training, fine-tuning, and deploying deep learning models for production use Building robust LLM integration pipelines with proper error handling and fallback mechanisms Implementing MLOps practices: model versioning, A/B testing, monitoring, and automated retraining Working on multiple projects during the tenure across multiple domains Note: The working hours are flexible. We are a small team. Most of the work will happen asynchronously. Culture-wise, we are looking for people who are excited to learn new things, think creatively, are capable of figuring things out on their own (most of the time), and have a "getting things done" kind of attitude. Show more Show less

About Us: At Articul8 AI, we relentlessly pursue excellence and create exceptional GenAI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same Job Description: Articul8 AI is seeking a Data Scientist to design, develop, and deploy AI-driven solutions that solve real-world problems at scale. You will work on machine learning models, large language models (LLMs), and AI applications while optimizing performance for production environments. This role requires expertise in AI/ML frameworks, cloud platforms, and software engineering best practices. You will be developing and deploying advanced deep learning and generative AI models and algorithms to enhance existing products or to create new products that fulfill critical business needs. In this role, you will be working closely with Product Management and Engineering teams to build GenAI products at scale. You will be responsible for transforming business needs to technical requirements and for leveraging state of the art research to develop and deliver products. You will also support Engineering with testing and validation of the product. Design, develop, and deploy AI-driven solution in production that solve real-world problems at scale. Train, fine-tune, and optimize deep learning and LLM-based solutions to enhance existing products or to create new products. Evaluate and implement state-of-the-art AI/ML algorithms to improve model accuracy and efficiency to enhance and deliver product. Optimize models ensuring low latency and high availability for cloud and on-prem environments. Collaborate closely with engineering teams and product management to build GenAI products at scale. Work with large-scale datasets, ensuring data quality, preprocessing, and feature engineering. Develop APIs and microservices to serve AI models in production at scale. Handle large-scale datasets, preprocessing, and feature engineering to ensuring data quality. Responsible for transforming business needs to technical requirements to develop and deliver products. Stay up to date with the latest AI trends, research, and best practices. Ensure ethical AI practices, data privacy, and security compliance Required Qualifications Master’s Degree in Science, Technology, Engineering and Mathematics (STEM) or Statistics with 10 to 15 years of experience In-depth knowledge and experience with algorithms for time series analysis including data pre-processing, pattern recognition, clustering, modeling and anomaly detection. Strong expertise in Deep Learning, Machine Learning and Generative AI models (including Language, Vision, Audio and Multi-modal models) Exposure to one or more of the following domains - Optimization, Stochastic Processes, Estimation theory Experience in deploying deep learning models on multiple GPUs Experience in developing models and algorithms using ML frameworks like PyTorch, TensorFlow Strong programming skills in one or more of the following languages - Python, Golang Experience in building Docker images in creating scalable, efficient, and portable applications Experience in Kubernetes for container orchestration and writing YAML manifests to define how applications and services should be deployed Knowledge of cloud platforms at least one of AWS, Azure, GCP and its services for deployment of applications Strong verbal and written communications skills. Preferred Qualifications Ph.D, in Science, Technology, Engineering and Mathematics (STEM) or Statistics with 6 to 8 years of experience. Deep expertise and experience in training/fine-tuning large language models on large GPU clusters. Experience in parallel programming including data, model and tensor parallelisms with PyTorch and TensorFlow Deep experience in building and scaling machine learning / deep learning or GenAI applications with Docker and Kubernetes. Strong working experience with at least two cloud service providers (AWS, Azure GCP). Knowledge of CI/CD pipelines, MLOps like MLflow, Kubeflow, or TensorBoard. Deep expertise and experience in one or more of the following areas like finance, healthcare, engineering. Ability to transform business needs to technical requirements, define tasks, metrics and milestones. Ability to communicate technological challenges and achievements to various stakeholders. What We Offer: By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise. Show more Show less