We are looking for a passionate and skilled AI/ML Engineer with 1–3 years of hands-on experience in computer vision and conversational AI. The ideal candidate should have a strong foundation in machine learning, experience training custom object detection models (especially using YOLO), and working knowledge of OpenCV and AI/ML frameworks. Exposure to OpenAI's ChatGPT and chatbot development is essential. Any experience in AR/VR will be considered a plus. Key Responsibilities: Train and deploy custom object detection models using YOLO (v5/v7/v8 or YOLO-NAS) on custom datasets. Preprocess and annotate data for training using tools like Roboflow or CVAT. Implement and optimize object detection pipelines using OpenCV . Develop, fine-tune, and integrate AI chatbots using OpenAI's ChatGPT API or similar LLMs. Work with basic ML algorithms for classification, clustering, and regression tasks. Collaborate with cross-functional teams to design, test, and deploy AI solutions. Explore integration of AI solutions into AR/VR environments (basic knowledge sufficient). Maintain and improve model performance through continuous training and validation. Stay up-to-date with the latest trends and advancements in AI/ML. Required Skills: Strong understanding of YOLO object detection models and custom training pipelines. Proficiency in OpenCV for image processing and real-time applications. Experience with OpenAI's GPT models and chatbot development . Solid understanding of basic ML algorithms (e.g., decision trees, SVM, k-NN). Good programming skills in Python . Familiarity with AI/ML frameworks such as: TensorFlow PyTorch ONNX Runtime Scikit-learn Knowledge of tools like Roboflow, LabelImg, or FiftyOne. Git version control and experience working in agile environments. Preferred (Good to Have): Exposure to AR/VR technologies (Unity, Unreal, WebXR, etc.). Experience in deploying models to edge devices (e.g., Raspberry Pi , NVIDIA Jetson Show more Show less

Backend Development: Proficiency in PHP 7+ or 8+, with a strong command of modern PHP features and practices. Good knowledge and hands on experience in Slim Framework Exceptionally good in JavaScript Exceptionally good communication skills Good to have Angular, Python Server Knowledge, PowerBI Experience with Laravel framework - In-depth knowledge of Laravel’s ecosystem, including MVC architecture, Eloquent ORM, blade templates, routing, and artisan commands Good to have Slim knowledge - Familiarity with Slim for lightweight applications, emphasizing middleware and dependency injection principles. It is good to have AngularJS expertise in building dynamic single-page applications, an understanding of MVC patterns in the AngularJS framework, and experience with directives, services, and two-way data binding. Experience with modern HTML/CSS practices. Database Management - Proficient in MariaDB or MySQL, with skills in designing databases, writing complex SQL queries, and performance tuning. Additional Skills: Power BI: Ability to work with Power BI real-time APIs for data visualization and business intelligence role-based reporting. Stripe: Experience with Stripe API integration for payment processing, Subscription management, handling webhooks, and ensuring secure transactions. Image Processing: Basic understanding of image processing models and libraries (e.g., OpenCV) or experience interfacing with cloud-based services. GPT APIs: Familiarity with incorporating GPT APIs for natural language processing tasks, including API management and cost considerations. General Skills: Familiar with version control systems like Git. Understanding of RESTful services and APIs. Ability to work in an agile development environment. Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Show more Show less

Build the AI Reasoning Layer for Education We’re reimagining the core intelligence layer for education—tackling one of the most ambitious challenges in AI: subjective assessment automation and ultra-personalized learning at scale. This isn’t just another LLM application. We’re building a first-principles AI reasoning engine combining multi-modal learning, dynamic knowledge graphs, and real-time content generation. The goal? To eliminate billions of wasted hours in manual evaluation and create an AI that understands how humans learn. As a Founding AI Engineer, you’ll define and build this system from the ground up. You’ll work on problems few have attempted, at the bleeding edge of LLMs, computer vision, and generative reasoning. What You’ll Be Solving: Handwriting OCR at near-human accuracy: How can we push vision-language models to understand messy, real-world input from students? Real-time learner knowledge modeling: Can AI track and reason about what someone knows—and how they’re learning—moment to moment? Generative AI that teaches: How do we create dynamic video lessons that evolve in sync with a learner’s knowledge state? Scalable inference infrastructure: How do we optimize LLMs and multimodal models to support millions of learners in real time? What You’ll Be Building: Architect, deploy & optimize multi-modal AI systems—OCR, knowledge-state inference, adaptive content generation. Build reasoning engines that combine LLMs, retrieval, and learner data to dynamically guide learning. Fine-tune foundation models (LLMs, VLMs) and implement cutting-edge techniques (quantization, LoRA, RAG, etc.). Design production-grade AI systems: modular, scalable, and optimized for inference at global scale. Lead experiments at the frontier of AI research, publishing if desired. Tech Stack & Skills Must-Have: Deep expertise in AI/ML, with a focus on LLMs, multi-modal learning, and computer vision. Hands-on experience with OCR fine-tuning and handwritten text recognition Strong proficiency in AI frameworks: PyTorch, TensorFlow, Hugging Face, OpenCV. Experience in optimizing AI for production: LLM quantization, retrieval augmentation, and MLOps. Knowledge graphs and AI-driven reasoning systems experience Desirable: Experience with Diffusion Models, Transformers, and Graph Neural Networks (GNNs). Expertise in vector databases, real-time inference pipelines, and low-latency AI deployment. Prior experience in ed-tech, adaptive learning AI, or multi-modal content generation. Why This Role Is Rare Define the AI stack for a category-defining product at inception. Work with deep ownership across research, engineering, and infrastructure. Founding-level equity and influence in a high-growth company solving a $100B+ problem. Balance of cutting-edge research and real-world deployment. Solve problems that matter—not just academically, but in people’s lives. Who this role is for builders at the edge—engineers who want to architect, not just optimize or Researchers who want their ideas shipped. This is you, if you want to: Push LLMs, CV, and multimodal models to their performance limits. Build AI that learns, reasons, and adapts like a human tutor. Shape the foundational AI layer for education Show more Show less

Senior Technical Lead (AI-DLML) Job Role & responsibilities Understand operational needs by collaborating with client specialized teams Formalize needs into mathematical models and problems Explore databases (including very big databases, in tables or unstructured, including open ones) to mine patterns Choose relevant techniques and create data processing solutions for the identified needs Present and promote the solutions to the relevant stakeholders Implement and deliver solutions by contributing individually as well as leading teams Manage and transmit knowledge through appropriate documentation and events (training courses, seminar, blog posts, etc.) Mandatory Skills Minimum 7+ years of hands-on professional experience in machine learning (ML), deep learning (DL) and artificial intelligence (AI) Minimum 7+ years of coding skills in programming languages (required: Python; appreciated: R, Java/ Scala), SQL 5+ years of proficiency in popular ML frameworks (TensorFlow, PyTorch, Keras, MXNet, Theano, Sklearn, Pandas, NumPy, Matplotlib, etc.) Deliver end to end Data Science projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering & selection, building, validating, and deploying predictive models, explaining model results and insights to client/stakeholders Proficiency in AI, ML, DL techniques such as regression, classification, segmentation, anomaly and novelty detection, dimensionality reduction, tree-based algorithms, support vector machine, recommender system, attribution modelling to address business problems. Deep understanding of neural networks, deep learning, and generative models (e.g., RNNs, CNNs, LSTMs, GANs, VAEs, etc.). Experience with 2-3 ML/DL model deployment in Azure (AzureML, Databricks, etc) is preferable Ability to work independently and deal with ambiguity. Strong analytical and problem-solving skills. Excellent presentation and communication skills. Strong written and verbal communication skills. Highly motivated and collaborative team player with strong interpersonal skills

Required At least 2 years of hands-on experience Strong theoretical understanding of DataScience algorithms, deep learning frameworks, and statistical modeling techniques. Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects. Solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc. Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow. ",

Greetings!!! This is in regards to a Job opportunity for AI Engineer - Chatbot with Datamatics Global Services Ltd. Position: AI Engineer - Chatbot Website: https://www.datamatics.com/ Job Location: Mumbai/Bangalore Job Description: Seeking a skilled AI Engineer to design and deliver a scalable, secure, and intelligent chatbot solution built entirely on the Microsoft Azure ecosystem. The solution will leverage Azure OpenAI, Azure Foundry, and Azure Cognitive Search to power a guided buying assistant with enterprise-grade compliance and AI-driven intelligence. Key Responsibilities & Required Expertise: 1.Deep hands-on experience with Retrieval-Augmented Generation (RAG) using Azure Cognitive Search and Azure Cosmos DB, including embedding generation, chunking, indexing, and semantic retrieval. 2.Strong knowledge of agentic AI design using Semantic Kernel, including task planning, tool/function calling, memory management, and autonomous reasoning flows. 3.Proven experience implementing multi-turn conversational agents using Azure OpenAI Service (GPT-4/4o) in inference-only mode, with secure prompt and session management. 4.Skilled in designing and optimizing prompt engineering strategies including system messages, dynamic templating, and user intent extraction. 5.Familiarity with Azure AI Studio and Azure Machine Learning for managing model deployments, testing, and monitoring. 6.Strong understanding of embedding models within Azure (e.g., text-embedding-ada-002 or Foundry-specific embeddings) for knowledge base enrichment and document understanding. 7. Expertise in building secure, compliant AI systems aligned with SOC 2, GDPR, and enterprise RBAC standards, ensuring no client data is used for training or fine-tuning. 8. Proficiency in Python, particularly with Azure SDKs, Semantic Kernel, and REST APIs for integrating AI into enterprise workflows. 9. Experience embedding AI-driven workflows into Azure-hosted applications, including React JS frontends and OutSystems low-code environments. 10. Ability to collaborate closely with architects, product managers, and UX teams to translate procurement workflows into intelligent assistant behavior.

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 : Product Development Management Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Product Development Management.- Strong understanding of AI and ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Hands-on experience with chatbots and image processing. Additional Information:- The candidate should have a minimum of 12 years of experience in Product Development Management.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

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 : Data Science Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Proficient in programming languages such as Python or R. Additional Information:- The candidate should have minimum 12 years of experience in Data Science.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

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 : Value Architecture & Realization Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of AI/ML models.- Research and experiment with new AI technologies.- Contribute to the development of AI strategies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Value Architecture & Realization.- Strong understanding of AI and ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Hands-on experience with chatbots and image processing. Additional Information:- The candidate should have a minimum of 12 years of experience in Value Architecture & Realization.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

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 : Data Science Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Ability to design and implement data pipelines for AI applications. Additional Information:- The candidate should have minimum 12 years of experience in Data Science.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Were looking for a talented Python AI Developer with solid experience in Django and AI/ML development to join our Rajkot team. You'll be involved in building smart, scalable products using Python, AI models, and modern backend frameworks.

Quidich Innovation Labs is a global company headquartered in Mumbai, India that pioneers in customized technology solutions for Sports Broadcasts. From the outset, we have believed in the power of the story that sport tells as a tool to bring people together; and that this story best reaches fans, through the way it is broadcast. Building on this thinking, we have created various technology tools over the past five years and deployed them at tournaments such as the Indian Premier League, ICC Men’s T20 World Cup, ICC Women’s World Cup, and Men's FIH Hockey World Cup, to name a few. Role As a Software Developer, you will play a pivotal cross-functional role in our product team. Your main responsibility will be to optimize and maintain various components of our platform using C++. You’ll have the opportunity to work on diverse tasks such as: Optimizing back-end systems in C++. Implementing and optimizing computer vision algorithms. Modifying and extending functionalities within video card SDKs. Building and maintaining robust software development pipelines. Collaborating on general software development tasks like code review, testing, and debugging. Continuously learning and solving complex problems. This role is ideal for developers who are eager to grow, tackle complex technical challenges, and thrive in a collaborative environment. Responsibilities Designing, optimizing, and maintaining backend components and modules using C++ Building and optimizing development pipelines to ensure seamless integration and deployment Collaborating with cross-functional teams to implement solutions across various technical domains Working on integrating and optimizing third-party SDKs, including those related to video processing and computer vision Contributing to the full software development lifecycle, including requirement gathering, architecture, testing, and deployment Debugging, troubleshooting, and optimizing performance-critical applications Adhering to best practices in code quality, version control, and software engineering standards Proactively learn new technologies and frameworks to meet project needs Qualifications, Skills, and Competencies Strong proficiency in C++ with a minimum of 3-5 years of professional experience Experience working with backend development, SDKs, or system-level programming. Hands-on experience with building and maintaining software pipelines for CI/CD (Continuous Integration/Continuous Delivery). Familiarity with computer vision algorithms and video processing is a plus. Excellent problem-solving skills with the ability to learn and adapt to new technologies quickly. Solid understanding of general software development practices, including version control (e.g., Git), testing, and debugging. Ability to work both independently and as part of a team in a dynamic environment. Knowledge of other programming languages (e.g., Python, Java) is an advantage. Cuda experience is an advantage. Experience with video card SDKs or computer vision libraries like OpenCV. Familiarity with Agile/Scrum methodologies. Strong communication and collaboration skills. Location: Goa Reporting To : Product Head Joining Date : Immediate to 30 Days Interested candidates, please send your CV to careers@quidich.com Show more Show less

About VOIS VO IS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VO IS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. About VOIS India In 2009, VO IS started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VO IS India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Role specific Below are day-today activities: Develop automation scripts and also modify/fix existing scripts Contribute to developing automation framework Execute automation scripts and also analyze results Do accurate status and execution reports on daily basis Work on fixing automation setups and debug issues Raise defects and also manage them Develop small tools and utilities to assist in day to day tasks Mandatory Skills Hands on in automation script development Expertise in script/programming in any language – eg. Python, Lua, Java, C# etc Experience of software testing techniques, Methodologies, testing tools, defect tracking systems Experience in Jason, XML Good to have - working knowledge of STB/Video automation (Storm test, Testwizard, Witbe), OpenCV, groovy scripting, Jenkins, Bitbucket VOIS Equal Opportunity Employer Commitment VO IS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 10 Best Workplaces for Millennials, Equity, and Inclusion , Top 50 Best Workplaces for Women , Top 25 Best Workplaces in IT & IT-BPM and 10th Overall Best Workplaces in India by the Great Place to Work Institute in 2024. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch!

Hi Immediate Hiring for Machine learning Engineer Location - Navi Mumbai Ghansoli Bachelor's or Master's degree in Computer Science, Electrical Engineering, Geomatics, or a related field, with a strong emphasis on Computer Vision or Machine Learning is added advantage. experience in point cloud, object segmentation, classification, detection, in point cloud, Halcon, registration, people who have worked as developers for lidar data management or lidar products in Hexagon geosystems, Lieca, Trimble Proficiency in programming with Python, C++, or other relevant languages, with a focus on image processing and computer vision. In-depth knowledge of computer vision libraries and frameworks such as OpenCV, TensorFlow, PyTorch, Keras, specifically for geospatial and orthographic image analysis. Experience with satellite image processing and the ability to handle large-scale geospatial datasets. Knowledge of aerial imaging systems and unmanned aerial vehicle (UAV) technology for capturing orthographic images. Experience in applying machine learning models to extract features and make predictions based on orthographic images. Should have 5+ years of experience in end to end computer vision / machine vision, image processing, object detection, object classification. Regards Kshama +91 9833964181 Job Types: Full-time, Permanent Work Location: In person

Sony Research India is driving cutting-edge research and development in various locations around the globe, including laboratories in Japan, the United States, Europe, and Asia. We endeavor to create new technology, products, and services while sustaining Sony Group’s diverse businesses in electronics, entertainment, and financial fields. For our research Centre to blaze a trail in the latest technologies, we seek to foster the growth of a diverse pool of research and engineering talent and create a technology talent bank to drive research excellence worldwide. Sony Research India is offering outstanding career opportunities around frontline technologies such as AI and data analytics. Job Purpose: Internships at Sony Research India (SRI) are aimed at offering students with an opportunity to industry exposure and a production level project experience. The primary responsibility in this role will be to positively contribute to the growth and development of innovative technologies at SRI. During the internship, you will work closely with research scientists and other members in the team on various development and optimization tasks in speech, audio, textual, linguistic, and visual signal analysis. In addition, you’ll be expected to actively work on AI development activities daily, be it training, testing, fixing bugs or other routines for building a robust model. For this internship program, we are seeking a talented and motivated candidate who is pursuing or has completed MS/MSc/MTech/PhD level degree, to join us as soon as possible , for a duration of at least 6 months. For this internship program, we’re only going to consider candidates who have demonstrable skills and knowledge in Multimodal AI using speech, textual and vision modalities, with strong software development skills in PyTorch and Python. . Work Location: Remote. Duration of the internship: The paid internship will be for 6 months starting June second week of 2025. The working hours are from 9:00 to 18:00 (Monday to Friday) fulltime. Essential Education: Candidates pursuing or has completed MS/MSc/MTech/PhD level degree in Computer Science, Electronics Engineering, Data Science, Information Science, Artificial Intelligence, Computer Applications or other closely related technical discipline, will be considered for the internship program. Skills required: Strong knowledge and relevant programming experience with Python, PyTorch, and Scikit-Learn and other ML and DL libraries, mainly for Multimodal AI tasks. Demonstratable skills of successfully applying state-of-the-art machine learning and deep neural networks-based models to multimodal problems, employing combination of audio, textual and visual data. Detailed understanding of all main network architectures, deployment modes, data augmentation and preparation, and theoretical performance analysis of model architectures. Strong analytical and problem-solving skills with knowledge of algorithms, signal processing, mathematics for machine learning, probability, statistics and linear algebra. Excellent interpersonal skills with effective communication and presentation skills Good to have Skills: Demonstrate research capabilities through relevant publication record in leading journals and conferences. Impact driven mindset and ability to work and learn in a collaborative and diverse environment. Programming knowledge of using data structure and OOP concepts proficiently in Python, C and C++. Programming experience with Scikit-Image, OpenCV with Python and MATLAB would be desirable. Familiarity with Linux operating system. Participation in Kaggle and other open-source grand challenge competitions. Our Values: Dreams & Curiosity : Pioneer the future with dreams and curiosity. Diversity : Pursue the creation of the very best by harnessing diversity and varying viewpoints. Integrity & Sincerity : Earn the trust for Sony brand through ethical and responsible conduct. Sustainability : Fulfil our stakeholder responsibilities through disciplined business practices. Sony Research India is committed to equal opportunity in all its employment practices, policies and procedures and to ensuring that no worker or potential worker will receive less favourable treatment due to any characteristic protected under applicable local laws. Show more Show less

Build the AI Reasoning Layer for Education We’re reimagining the core intelligence layer for education —tackling one of the most ambitious challenges in AI: subjective assessment automation and ultra-personalized learning at scale. This isn’t just another LLM application. We’re building a first-principles AI reasoning engine combining multi-modal learning, dynamic knowledge graphs, and real-time content generation . The goal? To eliminate billions of wasted hours in manual evaluation and create an AI that understands how humans learn . As a Founding AI Engineer , you’ll define and build this system from the ground up. You’ll work on problems few have attempted, at the bleeding edge of LLMs, computer vision, and generative reasoning. What You’ll Be Solving: Handwriting OCR at near-human accuracy: How can we push vision-language models to understand messy, real-world input from students? Real-time learner knowledge modeling: Can AI track and reason about what someone knows—and how they’re learning—moment to moment? Generative AI that teaches: How do we create dynamic video lessons that evolve in sync with a learner’s knowledge state? Scalable inference infrastructure: How do we optimize LLMs and multimodal models to support millions of learners in real time? What You’ll Be Building: Architect, deploy & optimize multi-modal AI systems—OCR, knowledge-state inference, adaptive content generation. Build reasoning engines that combine LLMs, retrieval, and learner data to dynamically guide learning. Fine-tune foundation models (LLMs, VLMs) and implement cutting-edge techniques (quantization, LoRA, RAG, etc.). Design production-grade AI systems: modular, scalable, and optimized for inference at global scale. Lead experiments at the frontier of AI research, publishing if desired. Tech Stack & Skills Must-Have: Deep expertise in AI/ML, with a focus on LLMs, multi-modal learning, and computer vision. Hands-on experience with OCR fine-tuning and handwritten text recognition Strong proficiency in AI frameworks: PyTorch, TensorFlow, Hugging Face, OpenCV. Experience in optimizing AI for production: LLM quantization, retrieval augmentation, and MLOps. Knowledge graphs and AI-driven reasoning systems experience Nice-to-Have: Experience with Diffusion Models, Transformers, and Graph Neural Networks (GNNs). Expertise in vector databases, real-time inference pipelines, and low-latency AI deployment. Prior experience in ed-tech, adaptive learning AI, or multi-modal content generation. Why This Role Is Rare Define the AI stack for a category-defining product at inception. Work with deep ownership across research, engineering, and infrastructure. Founding-level equity and influence in a high-growth company solving a $100B+ problem. Balance of cutting-edge research and real-world deployment. Solve problems that matter —not just academically, but in people’s lives. Who this role is for This is for builders at the edge—engineers who want to architect, not just optimize. Researchers who want their ideas shipped.If you want to: Push LLMs, CV, and multimodal models to their performance limits. Build AI that learns, reasons, and adapts like a human tutor. Shape the foundational AI layer for education Show more Show less

Job Title: AI/ML Engineer Experience Required: 3–4 Years Location: Indore-Onsite Department: Artificial Intelligence / Machine Learning Reports To: CTO / Head of AI About the role: We are seeking a highly skilled and innovative AI/ML Engineer with 3–4 years of hands-on experience in building and deploying AI-powered solutions. The ideal candidate should have a strong foundation in industrial automation , computer vision , LLM-based applications , and be proficient in modern AI tools such as LangChain , LangGraph , Vision Transformers , and AWS SageMaker MLOps . Experience in multi-agent chat systems and RAG architectures is a plus. Key Responsibilities: Design, train, and deploy ML models for industrial automation using OpenCV and deep learning. Develop multi-agent chat applications with LLMs, React-based agents, and contextual memory. Implement Vision Transformers (ViTs) for advanced computer vision tasks. Build intelligent conversational systems using LangChain , LangGraph , RAG , and vector databases. Fine-tune pre-trained LLMs for specific enterprise applications. Collaborate with frontend teams to integrate React-based UIs with AI backends. Deploy and manage AI solutions on AWS (SageMaker, Lambda, S3, EC2) . Maintain performance, scalability, and reliability in production-grade AI systems. Required Skills: 3–4 years of AI/ML engineering experience with a focus on real-world applications. Strong command of Python , and libraries like PyTorch , TensorFlow , Scikit-learn . In-depth knowledge of LLMs (e.g., GPT, Claude, LLaMA), prompt engineering , and fine-tuning . Proficiency in LangChain , LangGraph , and RAG-based architectures . Experience with Vision Transformers , YOLO , Detectron2 , and related CV tools. Ability to build and connect intelligent UIs using React + backend AI systems . Hands-on experience with AWS services (SageMaker, Lambda, EC2, S3). Familiarity with CI/CD workflows for ML models and production deployments. Preferred Qualifications: Exposure to edge AI , NVIDIA Jetson , or industrial IoT integrations . Experience building AI-powered chatbots with memory and tool integrations . Working knowledge of Docker , MLflow , or DVC for model versioning and containerization. Contributions to open-source AI/ML projects or research publications. Send your applications to vishal.bhat@moreyeahs.com or Contact - + 91-9644334475 Show more Show less

Company Description Bytezera is a data services provider that specialise in AI and data solutions to help businesses maximise their data potential. With expertise in data-driven solution design, machine learning, AI, data engineering, and analytics, we empower organizations to make informed decisions and drive innovation. Our focus is on using data to achieve competitive advantage and transformation. About the Role We are seeking a highly skilled and hands-on AI Engineer to drive the development of cutting-edge AI applications using the latest in Computer vision, STT, Large Language Models (LLMs) , agentic frameworks , and Generative AI technologies . This role covers the full AI development lifecycle—from data preparation and model training to deployment and optimization—with a strong focus on NLP and open-source foundation models . You will be directly involved in building and deploying goal-driven, autonomous AI agents and scalable AI systems for real-world use cases. Key Responsibilities Computer Vision Development Design and implement advanced computer vision models for object detection, image segmentation, tracking, facial recognition, OCR, and video analysis. Fine-tune and deploy vision models using frameworks like PyTorch, TensorFlow, OpenCV, Detectron2, YOLO, MMDetection , etc. Optimize inference pipelines for real-time vision processing across edge devices, GPUs, or cloud-based systems. Speech-to-Text (STT) System Development Build and fine-tune ASR (Automatic Speech Recognition) models using toolkits such as Whisper, NVIDIA NeMo, DeepSpeech, Kaldi, or wav2vec 2.0 . Develop multilingual and domain-specific STT pipelines optimized for real-time transcription and high accuracy. Integrate STT into downstream NLP pipelines or agentic systems for transcription, summarization, or intent recognition. LLM and Agentic AI Design & Development Build and deploy advanced LLM-based AI agents using frameworks such as LangGraph , CrewAI , AutoGen , and OpenAgents . Fine-tune and optimize open-source LLMs (e.g., GPT-4 , LLaMA 3 , Mistral , T5 ) for domain-specific applications. Design and implement retrieval-augmented generation (RAG) pipelines with vector databases like FAISS , Weaviate , or Pinecone . Develop NLP pipelines using Hugging Face Transformers , spaCy , and LangChain for various text understanding and generation tasks. Leverage Python with PyTorch and TensorFlow for training, fine-tuning, and evaluating models. Prepare and manage high-quality datasets for model training and evaluation. Experience & Qualifications 2+ years of hands-on experience in AI engineering , machine learning , or data science roles. Proven track record in building and deploying computer vision and STT AI application . Experience with agentic workflows or autonomous AI agents is highly desirable. Technical Skills Languages & Libraries:Python, PyTorch, TensorFlow, Hugging Face Transformers, LangChain, spaCy LLMs & Generative AI:GPT, LLaMA 3, Mistral, T5, Claude, and other open-source or commercial models Agentic Tooling:LangGraph, CrewAI, AutoGen, OpenAgents Vector databases (Pinecone or ChromaDB) DevOps & Deployment: Docker, Kubernetes, AWS (SageMaker, Lambda, Bedrock, S3) Core ML Skills: Data preprocessing, feature engineering, model evaluation, and optimization Qualifications:Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field. Show more Show less

Greetings From Pranathi Software Services Pvt Ltd!!! We have vacancies for Data Scientist position in our organization. 📌 Experience: 3+ years 📌 Location: Hyderabad(Onsite) 📌 Timings: 12PM to 9PM Required Skills & Qualifications: Programming: Proficiency in Python. Machine Learning & Deep Learning: Strong experience in developing and deploying ML/DL models. NLP: Expertise in working with NLP frameworks such as Hugging Face Transformers, SpaCy, NLTK, etc. Computer Vision: Experience with OpenCV, TensorFlow, PyTorch, or other relevant frameworks. Generative AI: Hands-on experience with LLMs, diffusion models, GANs, VAEs, and other generative techniques. Transformers & RAG: Strong understanding of transformer architectures (BERT, GPT, LLAMA, etc.) and retrieval-augmented generation methods. Prompt Engineering: Ability to design, optimize, and implement effective prompts for AI applications. Django: Experience in building and maintaining backend services and APIs. Database Management: Proficiency in MySQL and NoSQL databases for efficient data handling. REST API Development: Experience in developing and integrating APIs for AI-powered applications. Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and deployment tools like Docker & Kubernetes. Looking for Immediate Joiners. If interested please share your updated resume at harish@pranathiss.com Show more Show less

About VOIS VO IS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VO IS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. About VOIS India In 2009, VO IS started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VO IS India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Role specific Below Are Day-today Activities Develop automation scripts and also modify/fix existing scripts Contribute to developing automation framework Execute automation scripts and also analyze results Do accurate status and execution reports on daily basis Work on fixing automation setups and debug issues Raise defects and also manage them Develop small tools and utilities to assist in day to day tasks Mandatory Skills Hands on in automation script development Expertise in script/programming in any language – eg. Python, Lua, Java, C# etc Experience of software testing techniques, Methodologies, testing tools, defect tracking systems Experience in Jason, XML Good to have - working knowledge of STB/Video automation (Storm test, Testwizard, Witbe), OpenCV, groovy scripting, Jenkins, Bitbucket VOIS Equal Opportunity Employer Commitment VO IS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 10 Best Workplaces for Millennials, Equity, and Inclusion , Top 50 Best Workplaces for Women , Top 25 Best Workplaces in IT & IT-BPM and 10th Overall Best Workplaces in India by the Great Place to Work Institute in 2024. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch! Show more Show less

Job Title: Unity Game Developer – Kids Learning Games (1+ Year Experience) Location: Pune, India (On-site) Experience: 1+ year in Unity game development Type: Full-time Joining: Immediate joiners preferred About the Role: We are looking for a creative and enthusiastic Unity Game Developer with at least 1 year of experience to build interactive learning games for children . You will work closely with designers, artists, and educators to turn educational concepts into fun, engaging, and meaningful gameplay experiences for young learners (Kindergarten to Grade 5). Key Responsibilities: Design and develop 2D/3D gameplay for kids’ educational games using Unity and C# Implement intuitive UI, drag-and-drop mechanics, audio interactions, and visual feedback Collaborate with the design team to create age-appropriate learning experiences Optimize games for Android, iOS, and WebGL platforms Handle animations, transitions, and child-friendly interactions Debug and test across devices to ensure smooth performance Write clean, reusable, and maintainable code Requirements: Minimum 1 year of hands-on experience in Unity (C#) Strong understanding of 2D game mechanics and mobile optimization Ability to implement child-friendly UI, audio, and feedback systems Experience with Android/iOS build processes Familiarity with version control (e.g., Git) Creative thinking and attention to detail Good communication and teamwork skills Bonus Skills (Good to Have): Experience in building kids’ educational or phonics/shape learning games Familiarity with AR Foundation , voice recognition , or OpenCV in Unity Knowledge of Firebase, audio-based interactivity, or storytelling What We Offer: Work on meaningful games that make learning fun for children Creative freedom and collaborative team culture Career growth and mentoring opportunities Competitive salary and performance incentives Job Type: Full-time Pay: ₹200,000.00 - ₹400,000.00 per year Work Location: In person

Machine Learning (ML) Developer JD Principal responsibilities Developers to build prod-ready models that will help with content extraction and classification from images and text based sources. Should have worked on projects related to Intelligent document processing using open source models. Work with business and transformation teams to understand & formulate application specific design. Collaborative with product managers, technical teams. Create, test and iterate new and existing products and features. Design and Build Python/ML/OCR-based components. Completes applications development by coordinating requirements, schedules, and activities; contributing to team meetings; troubleshooting development and production problems across multiple environments and operating platforms. Should be able to troubleshoot development and production problems across multiple environments and operating platforms. Must Have Experience is preferred in Agile/DevOps areas. Strong in python , Machine learning , Deep learning , Natural language processing , Gen AI , Image processing , Document AI , OCR technology , Frame Works : TensorFlow , Pytorch , Hugging face , Spacy , OpenCV , Regex API : Fast API , Tornado Database : Postgres , Mongo OS RHEL , Ubuntu Jenkins Pipeline, Docker, Kubernetes, Ansible Automation platform, Git, GitHub, shell/python scripts and Linux Fundamentals. Nice To Have Understanding of cloud computing fundamentals, proficiency with Azure's core services like Azure Virtual Machines, through hands-on experience with the Azure portal and Azure CLI , Azure Kubernetes Service (AKS), Azure DevOps basic knowledge of networking and security best practices. Show more Show less

Description EGNYTE YOUR CAREER. SPARK YOUR PASSION. Role Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 22,000 customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters who doers, thinkers, and collaborators are who embrace and live by our values: Invested Relationships Fiscal Prudence Candid Conversations About Egnyte Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com . About The Role Egnyte is seeking a Principal Machine Learning Engineer to drive innovation and leadership across machine learning initiatives, with a special emphasis on NLP solutions. As a Principal Engineer, you will play a pivotal role in shaping the future of AI/ML at Egnyte by defining technical strategy, overseeing complex machine learning architectures, and ensuring seamless integration of ML solutions into our platform at scale. You will mentor and guide engineering teams while providing expertise in state-of-the-art ML practices, ensuring a robust production pipeline and the professional management of ML models. What You’ll Do Leading the technical strategy and execution for machine learning projects across the organization. Driving innovation in NLP and other ML solutions, ensuring alignment with Egnyte’s business goals. Architecting and overseeing scalable, production-ready machine learning systems. Providing technical leadership and mentorship to the ML engineering team, fostering growth and collaboration. Conducting in-depth research and staying abreast of advancements in machine learning and deep learning technologies. Collaborating with cross-functional teams, including Product, to evaluate business requirements and determine optimal ML solutions. Designing, deploying, and managing the lifecycle of machine learning models, including retraining and monitoring for continuous improvement. Reviewing code, offering best practices, and ensuring the delivery of high-quality solutions. Representing Egnyte’s technical excellence through publications, presentations, and participation in industry events. Your Qualifications Proven expertise in leading machine learning initiatives, particularly in NLP. Extensive experience in creating and deploying machine learning & deep learning models at scale in a SaaS or Cloud environment. Demonstrated ability to define and execute technical strategy for ML projects. Advanced knowledge of ML frameworks, such as PyTorch and TensorFlow/ Keras . Proficiency in tools like HuggingFace libraries (transformers and tokenizers) or Fairseq . Expertise in Python, Docker, Kubernetes, and Helm. Excellent communication skills, particularly in mentoring, knowledge sharing, and cross-team collaboration. Strong experience in managing large-scale datasets and distributed computing environments, with a preference for Google Cloud Platform expertise What We Offer Opportunity to work on cutting-edge machine learning projects at scale. Leadership role in a growing, innovative AI/ML team. Support for continued learning, certifications, and professional growth Bonus Points Proficiency in additional programming languages such as Java, Scala, or Go. Familiarity with tools and frameworks like Kubeflow and OpenCV. Deep understanding of advanced analytical modeling and statistical forecasting techniques. Demonstrated expertise with transformer-based architectures (e.g., BERT, GPT). Experience publishing and presenting complex technical work to a broader audience. Commitment To Diversity, Equity, And Inclusion At Egnyte, we celebrate our differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be. Show more Show less

We’re Hiring! Instructor – Autonomous Drones & AI/ML Location: Bangalore (On-site) Type: Full-Time Company: Aerophile Academy Are you passionate about drones, artificial intelligence and shaping the future of autonomous systems? Join Aerophile Academy, India’s premier aviation and drone training institute, as we launch our advanced course on Autonomous Drones with AI & ML. We’re looking for an experienced instructor to lead this exciting program and mentor aspiring drone tech professionals. What You’ll Do: • Teach and design modules on drone autonomy, AI/ML, and real-time applications • Train students in technologies like ROS, PX4, OpenCV, TensorFlow and drone-based CV systems • Support hands-on learning with simulations, practical projects and real-world case studies • Continuously update the course with the latest industry advancements • Guide students through capstone projects and evaluations What We’re Looking For: • Degree in Aerospace, Robotics, Computer Science, or AI/ML domains • 1- 3 years of experience with autonomous drones and machine learning tools • Proficiency in ROS, PX4, AI frameworks (e.g., TensorFlow/PyTorch), and drone control systems • Strong communication skills and passion for teaching • Prior experience as a trainer or educator is a plus Why Join Us? • Shape the next generation of drone innovators • Access to cutting-edge drone labs and AI tools • Flexible work model and competitive pay • Be part of a fast-growing aviation-tech ecosystem. Show more Show less

Required At least 2 years of hands-on experience Strong theoretical understanding of DataScience algorithms, deep learning frameworks, and statistical modeling techniques. Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects. Solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc. Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow. Show more Show less