1681 Computer Vision Jobs - Page 48

XenonStack's Artificial Intelligence team is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. Your goal will be to shape and build efficient self-learning applications. Key Responsibilities: Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select relevant datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Requirements Technical Requirement: Knowledge in Machine Learning Engineer or similar role Understanding of data structures, data modelling, and software architecture Deep knowledge of maths, probability, statistics, and algorithms Ability to write robust code in Python, Java, and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Professional Attributes: Excellent communication skills & Attention to detail. Analytical mind and problem-solving Aptitude with Strong Organizational skills & Visual Thinking. Education: Technical Graduates (BCA, BSC, B. Tech), MCA, MSC, and M.Tech with strong data structure and algorithm Skills Benefits: Dynamic and purposeful work culture in a people-oriented organization contributing to multi-million-dollar projects with guaranteed job security. Open, authentic, and transparent communication fostering a warm work environment. Regular constructive feedback and exposure to diverse technologies. Recognition and rewards for exceptional performance achievements. Access to certification courses & Skill Sessions to develop continually and refine your skills. Additional allowances for team members assigned to specific projects. Special skill allowances to acknowledge and compensate for unique expertise. Comprehensive medical insurance policy for your health and well-being.

Develop algorithms that apply deep learning and innovative methods in NLP & computer vision, combined with traditional large sophisticated solutions/codebases! Developing innovative solutions using Generative AI, Python, Machine Learning and Data Science! Build experiments, algorithms and ship solution that not only yield high accuracy but are also crafted and engineered to scale. Collaborate across multiple research and engineering teams, making the tradeoffs required to rapidly deliver AI/ML software solutions. Driven, Energetic and a team player are must haves.

We are seeking a highly skilled GenAI Developer to join our dynamic, global team. The ideal candidate will have a strong background in applied generative AI. This role will involve developing and implementing AI solutions, working with various technologies, and collaborating with cross-functional teams to drive innovation. The GenAI Developer will play a crucial role in advancing our GenAI capabilities and contributing to the success of our Wealth Management division. Key Responsibilities: Work with stakeholders to understand requirements and deliver AI solutions across several domains in Wealth Management. Stay updated with the latest advancements in AI and machine learning technologies. Conduct research and experiments to improve AI capabilities within the division. Required Competencies: Retrieval-Augmented Generation (RAG): Experience in developing and implementing RAG models to enhance information retrieval and generation tasks. Vector Stores: Knowledge of Vector Stores for efficient data storage and retrieval. Prompt Engineering: Skills in designing and optimizing prompts for AI models to improve accuracy and relevance. Large Language Model APIs (LLM APIs): Understanding of different LLMs, both commercial and open source, and their capabilities (eg, OpenAI, Gemini, Llama, Claude). Programming Languages: Proficiency in Python, Java, or other relevant programming languages. Data Analysis: Strong analytical skills and experience with data analysis tools. Problem-Solving: Excellent problem-solving abilities and attention to detail. Communication: Strong verbal and written communication skills. Preferred Competencies: Graph RAG: Proficiency in using Graph RAG for complex data relationships and insights. Knowledge Graphs: Expertise in building and managing Knowledge Graphs to represent and query complex data structures. Machine Learning Frameworks: Experience with TensorFlow, PyTorch, or similar frameworks. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with natural language processing (NLP) and computer vision technologies. Previous experience in a similar role or industry. masters or Ph.D. in Computer Science, Data Science, or a related field.

signdesk is looking for Consultant- AI Developer to join our dynamic team and embark on a rewarding career journey Develops AI-powered applications and tools for business use cases Builds machine learning models and optimizes their deployment Works closely with clients to define AI strategy and solutions Contributes to research, documentation, and training modules

Associate GenAI Developer We are seeking a highly skilled GenAI Developer to join our dynamic, global team. The ideal candidate will have a strong background in applied generative AI. This role will involve developing and implementing AI solutions, working with various technologies, and collaborating with cross-functional teams to drive innovation. The GenAI Developer will play a crucial role in advancing our GenAI capabilities and contributing to the success of our Wealth Management division. Key Responsibilities: Work with stakeholders to understand requirements and deliver AI solutions across several domains in Wealth Management. Stay updated with the latest advancements in AI and machine learning technologies. Conduct research and experiments to improve AI capabilities within the division. Required Competencies: Retrieval-Augmented Generation (RAG): Experience in developing and implementing RAG models to enhance information retrieval and generation tasks. Vector Stores: Knowledge of Vector Stores for efficient data storage and retrieval. Prompt Engineering: Skills in designing and optimizing prompts for AI models to improve accuracy and relevance. Large Language Model APIs (LLM APIs): Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Claude). Programming Languages: Proficiency in Python, Java, or other relevant programming languages. Data Analysis: Strong analytical skills and experience with data analysis tools. Problem-Solving: Excellent problem-solving abilities and attention to detail. Communication: Strong verbal and written communication skills. Preferred Competencies: Graph RAG: Proficiency in using Graph RAG for complex data relationships and insights. Knowledge Graphs: Expertise in building and managing Knowledge Graphs to represent and query complex data structures. Machine Learning Frameworks: Experience with TensorFlow, PyTorch, or similar frameworks. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with natural language processing (NLP) and computer vision technologies. Previous experience in a similar role or industry. Master s or Ph.D. in Computer Science, Data Science, or a related field. Years of experience: 3-5

Job Summary: We are seeking a passionate and skilled AI Engineer to design, develop, and deploy cutting-edge AI solutions across domains such as large language models (LLMs), computer vision, and autonomous agent workflows. You will collaborate with data scientists, researchers, and engineering teams to build intelligent systems that solve real-world problems using deep learning, transformer-based architectures, and multi-modal AI models. Key Responsibilities: Design and implement AI/ML models, especially transformer-based LLMs (e.g., BERT, GPT, LLaMA) and vision models (e.g., ViT, YOLO, Detectron2). Develop and deploy computer vision pipelines for object detection, segmentation, OCR, and image classification tasks. Build and orchestrate intelligent agent workflows using prompt engineering, memory systems, retrieval-augmented generation (RAG), and multi-agent coordination. Fine-tune and optimize pre-trained models on domain-specific datasets using frameworks like PyTorch or TensorFlow. Collaborate with cross-functional teams to understand problem requirements and translate them into scalable AI solutions. Implement inference pipelines and APIs to serve AI models efficiently using tools such as FastAPI, ONNX, or Triton Inference Server. Conduct model evaluation, benchmarking, A/B testing, and performance tuning. Stay updated with state-of-the-art research in deep learning, generative AI, and multi-modal learning. Ensure reproducibility, versioning, and documentation of all experiments and production models. Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 35 years of hands-on experience in designing and deploying deep learning models. Strong knowledge of LLMs (e.g., GPT, BERT, T5), Vision Models (e.g., CNNs, Vision Transformers), and Computer Vision techniques. Experience building intelligent agents or using frameworks like LangChain, Haystack, AutoGPT, or similar. Proficiency in Python, with expertise in libraries such as PyTorch, TensorFlow, Hugging Face Transformers, OpenCV, and Scikit-learn. Familiarity with MLOps concepts and deployment tools (Docker, Kubernetes, MLflow). Strong understanding of NLP, image processing, model fine-tuning, and optimization. Experience with cloud platforms (AWS, GCP, Azure) and GPU environments. Excellent problem-solving, communication, and teamwork skills. Preferred Qualifications: Experience in building multi-modal AI systems (e.g., combining vision + language models). Exposure to real-time inference systems and low-latency model deployment. Contributions to open-source AI projects or research publications. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and RAG pipelines. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India

Position : Edge AI developer Skill Set Experience of at least 2.5 years in development of Video based analytics at Camera level such as perimeter based alert, person detection, movement detection etc Experience on Linux, C and Python Preferred if worked on Tiny Model Work experience on Realtek or Raspberry pi boards for above activities

job requisition idR010567 AVEVA is creating software trusted by over 90% of leading industrial companies. Job Title R&D Senior Member of Technical Staff-Test Location Hyderabad India Employment Type Full Time The job As part of our global AI development group, youll collaborate with a team of skilled software engineers in designing and implementing AI capabilities and solutions into our product suite. The work will primarily involve testing of our AI capabilities that we introduce in our products ensuring that they are of top-notch quality. You will have the opportunity to work with the latest technologies to ensure that we build and bring meaningful AI capabilities to the market through our product suite. Key responsibilities Participate in Scrum meetings with other team members including sprint planning and estimating; backlog refinement; daily Scrum meetings; sprint retrospectives and sprint reviews. Work collaboratively with scrum colleagues to identify, implement and execute functional and non-functional test scenarios to validate the functionality of the software. Be responsible for defining stories, test strategy, test ideas and translating those into automated and manual tests as part of a cross-functional development team. Use tools including test automation frameworks and data to make testing efficient and easily repeatable for regression purposes. You may be required to update existing frameworks or modify them or build new ones depending on the need. Design, implement, and execute test strategies for AI-powered applications, including LLM-based assistants, computer vision models, and predictive analytics systems. You may be required to mentor junior team members. Handle large amounts of data, as is normally the case with AI models. Essential requirements Minimum 10+ years of functional/domain testing experience within the engineering or a related industry. Expertise in non-functional requirement gathering and identifying critical business scenarios. Strong knowledge and hands-on experience in API testing via automation . Experience in application/functional testing . Should have working knowledge in designing and implementing and executing test strategies for AI-powered applications like LLM-based assistants, computer vision models, and predictive analytics systems . Proficiency with CI/CD tools such as GIT, TFS, MS Test, and Azure DevOps. Familiarity with Agile methodologies and processes. Experience in test automation using Selenium with C#/JavaScript or similar scripting languages. Understanding of Microservices and Service-Oriented Architectures . Good grasp of Machine Learning life cycle . Ability to design and implement unit and integration tests for machine learning models using varied datasets. Should have working knowledge in designing and implementing and executing test strategies for AI-powered applications like LLM-based assistants, computer vision models, and predictive analytics systems Exceptional communication skills to collaborate with Product Owners, System Testers, and Product Support teams . Experience mentoring and coaching less experienced colleagues. Strong problem-solving skills with a proactive and positive approach. Desired skills and competencies Organization: The pace at AVEVA can be exciting and fast, so whilst you will need excellent time management and effective prioritization, we will do all we can to support a balanced portfolio of work, and your wellbeing. Quality Software: You are passionate about delivering software that is reliable, performant and scales well. Problem-solving: Youll need to enjoy figuring how to get out of sticky problems, as troubleshooting and solving challenging problems is a big part of this role. R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke its the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us. Find out moreaveva.com/en/about/careers/r-and-d-careers/ India Benefits include: Gratuity, Medical and accidental insurance, very attractive leave entitlement, emergency leave days, childcare support, maternity, paternity and adoption leaves, education assistance program, home office set up support (for hybrid roles), well-being support Its possible were hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out moreaveva.com/en/about/careers/benefits/ Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process InterestedGreat! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process. Find out moreaveva.com/en/about/careers/hiring-process

Interested in building something new? Join the Amazon Autos team on an exhilarating journey to redefine the vehicle shopping experience. This is an opportunity to be part of the Amazons new business ventures. Our goal is to create innovative automotive discovery and shopping experiences on Amazon, providing customers with greater convenience and a wider selection. Youll work in a creative, fast-paced, and entrepreneurial environment at the center of Amazons innovation. As a key member, youll play a pivotal role in helping us achieve our mission. We are looking for a highly accomplished Applied Science professional drive our science strategy, foster a culture of data-driven decision-making, and drive impactful business outcomes through advanced state-of-the-art science methodologies. If youre enthusiastic about innovating and delivering exceptional shopping experiences to customers, thrive on new challenges, and excel at solving complex problems using top-notch ML models, LLM and GenAI techniques, then youre the perfect candidate for this role. Strong business acumen and interpersonal skills are a must, as youll work closely with business owners to understand customer needs and design scalable solutions. Join us on this exhilarating journey and be part of redefining the vehicle shopping experience. As an Applied Scientist in Amazon Autos, you will: Shape the roadmap and strategy for applying science to solve customer problems in the Amazon AutoStore domain. Drive big picture innovations with clear roadmaps for intermediate delivery. Apply your skills in areas such as deep learning and reinforcement learning while building scalable solutions for business problems. Produce and deliver models that help build best-in-class customer experiences and build systems that allow us to deploy these models to production with low latency and high throughput. Utilize your Generative AI, time series and predictive modeling skills, and creative problem-solving skills to drive new projects from ideation to implementation. Interface with business customers, gathering requirements and delivering science solutions. Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions. Effectively communicate complicated machine learning concepts to multiple partners. Research new and innovative machine learning approaches. A day in the life In this role, you will be part of a multidisciplinary team working on one of Amazons newest business ventures. As a key member, you will collaborate closely with engineering, product, design, operations, and business development to bring innovative solutions to our customers. Your science expertise will be leveraged to research and deliver novel solutions to existing problems, explore emerging problem spaces, and create new knowledge. You will invent and apply state-of-the-art technologies, such as large language models, machine learning, natural language processing, and computer vision, to build next-generation solutions for Amazon. Youll publish papers, file patents, and work closely with engineers to bring your ideas to production. About the team This is a critical role for Amazon Autos team with a vision to create innovative automotive discovery and shopping experiences on Amazon, providing customers better convenience and more selection. We re collaborating with other experienced teams at Amazon to define the future of how customers research and shop for cars online. 3+ years of building models for business application experience PhD, or Masters degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience using Unix/Linux Experience in professional software development Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

Amazon s Geospatial team is looking for a Program Manager to join our team. Our team s our vision is to provide the best mapping solution for logistics with focus on a safe, efficient and frictionless delivery experience. We build and operate software and hardware solutions that support drivers globally. We use innovative technology, such as machine learning, computer vision and large language learning models to enrich our maps. In order to so, we work with a portfolio of map vendors to enrich our maps with attributes important to transporters, as well as hardware vendors for strategic projects. In this role, you manage complex initiatives, delivering critical solutions, significant improvements, new mechanisms, or deprecating processes that are no longer needed. These efforts require you to work with multiple teams in and/or across organizations. The ideal candidate has extensive Program Management experience. This role also requires demonstrated experience managing cross functional relationships, performing financial analysis, creating and implementing processes and great communication skills to influence a variety of internal and external audiences. You are a self-starter and have the business acumen to unpack complex business needs. You thrive in a fast-paced environment and are comfortable with ambiguity. Own program level goals and initiatives Work closely with Vendor Managers, Technology teams, Product teams, Legal and Finance teams to identify opportunities for standardizing processes Manage procurement asks for strategic initiatives including creating POs and tracking against budgets Develop internal and external governance mechanisms 3+ years of program or project management experience 3+ years of working cross functionally with tech and non-tech teams experience 3+ years of defining and implementing process improvement initiatives using data and metrics experience Bachelors degree Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL Experience defining program requirements and using data and metrics to determine improvements 3+ years of driving end to end delivery, and communicating results to senior leadership experience 3+ years of driving process improvements experience Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization Experience building processes, project management, and schedules

RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability & fulfilment, buying experience and post-buying experience (product quality and customer returns). As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and visual), supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, product similarity, using GenAI, LLMs, NLP and Computer Vision. As an Applied Science Manager, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will Lead scientists on the team and oversee research and development projects at various stages ranging from initial exploration to deployment into production systems. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You will help the team leverage your expertise, by coaching and mentoring. You will contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices. You will create the environment in the team to file for patents and/or publish research work where opportunities arise. You will impact the large product strategy, identifies new business opportunities and provides strategic direction to the team. Masters degree in Computer Science, Statistics, Electrical Engineering, or Mathematics with specialization in specialization in Machine Learning, statistical modeling, or Deep learning. 5+ years of working experience in solving machine learning problems and deploying science solutions for large-scale applications 2+ years of experience leading a team of scientists and engineers Knowledge of programming languages such as C/C++, Python, Java Excellent written and verbal communication skills Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

About Us - Attentive.ai is a fast-growing vertical SaaS start-up, funded by Peak XV (Surge), InfoEdge, Vertex Ventures, and Tenacity Ventures that provides innovative software solutions for the landscape, paving & construction industries in the United States. Our mission is to help businesses in this space improve their operations and grow their revenue through our simple & easy-to-use software platforms. Position Description: We are looking for a DevOps Engineer to join our engineering team and help us develop and expand various our internal pipelines and infrastructure As a DevOps Engineer at Attentive, you will be working closely with different engineering, computer vision, testing, and product teams to improve and expand their workflows and cloud resources. We offer an inspiring environment full of young people with a lot of ambition. You get the freedom to implement your own designs, solutions, and creativity Roles & Responsibilities: Knowledge of building and setting up new development tools and infrastructure Setup uptime checks, resource health monitoring, and other monitoring tools (Gcp stack-driver, ELK) Managing and scaling cloud-based infrastructure Troubleshooting and resolving infrastructure issues Develop and integrate solutions for the automation of SDL processes such as automated code checks, tests, deployments, rollbacks, etc Automating the build, test, and release process Creating and maintaining documentation for infrastructure and processes Follows the established processes and best practices to ensure code quality and security. Requirements 2-3 years of work experience as a Cloud & DevOps engineer Excellent understanding of Python, Groovy , and bash scripting Experience working on Linux-based infrastructure Experience working on cloud services like GCP,AWS Hands-on experience with CICD Tools Experienced in deploying a containerized application, static websites deployment, etc Working knowledge of deploying and maintaining tools like Github, JIRA, Jenkins Experience in IaC tools Terraform, Ansible Good To Haves: Experience working with serverless application deployments. Experience working with source code scanning and dependency management. Familiarity with data management and ML Ops (Machine Learning) process and tools.

Position: Data Scientist Location: Trivandrum Job Description : We are urgently looking for a motivated Data Scientist with a focus on Computer Vision and Machine Learning. The candidate will have a passion for solving complex problems using deep learning, image processing, and AI-driven techniques. He shall work closely with a team of data scientists, engineers, etc and to build, optimize, and deploy machine learning models for real-world applications Key Responsibilities : Develop, train, and optimize deep learning models for image classification, object detection, segmentation, and other computer vision tasks. Implement and fine-tune machine learning algorithms for structured and unstructured data analysis. Preprocess and augment image/video datasets to improve model accuracy and robustness. Work with frameworks such as YOLO, TensorFlow, PyTorch, and OpenCV to build scalable models. Assist in deploying models to production environments, including cloud and edge computing platforms. Collaborate with cross-functional teams to integrate AI solutions into existing workflows and products. Stay up-to-date with the latest research and trends in AI, computer vision, and machine learning. Qualifications : Bachelors or masters degree in computer science, Data Science, AI/ML, or a related field. Minimum of 3 year of professional experience in Python programming and AI/ML integrations Solid understanding of machine learning concepts, neural networks, and deep learning architectures. Hands-on experience in training and optimizing computer vision models. Familiarity with data preprocessing techniques, image annotation tools, and model evaluation metrics. Strong problem-solving skills and the ability to work in a fast-paced environment. Joining: Immediate to less than 30 days Budget: 13 - 14 LPA ",

AI Python Data Science Engineer Hot Openings As a data science and analytics engineer, you will be involved in developing computer visions and data algorithms. Artificial intelligence development and deep machine learning implementations will be part of your development and deployment to the cloud. Experience for senior positions: 4 - 5+ years Experience for junior positions: 2 - 3 years Required Tech Skills Experience in Python (must have) and/or R language. Experience with computer vision algorithms and data science. Experience in deep machine learning models. Well-versed in data visualization techniques. Troubleshoot and resolve code issues. Collaborate with data engineers to design and integrate the data sources. Experience in handling multiple priorities with Agile development. Experience with Git and working in a collaborative and distributive team environment. Required Soft Skills Excellent listening, verbal, and written communication skills. Strong interpersonal & customer relationship skills. Strong analytical, problem solving, and decision-making skills. Documentation skills. Apply now Hot Openings PHP + Node.js Developers Full Time Tech Development Experience 4 - 6+ years

Data Science Architect (Full Stack) Location: Gurugram, India (On-site/Hybrid) Type: Full-Time | 4+ Years Experience | AI, Architecture & Product Engineering Hubnex Labs is seeking a visionary and hands-on Full Stack Data Science Architect to lead the development of scalable AI products and reusable intellectual property (IP) that power data-driven solutions across global enterprise clients. This role requires deep technical expertise in AI/ML, data architecture, backend/frontend systems, and cloud-native technologies. Key Responsibilities AI & Data Science Leadership Lead design and development of end-to-end AI/ML solutions across enterprise applications Architect data pipelines, model training, validation, and deployment workflows Apply cutting-edge techniques in NLP, Computer Vision, Speech Recognition, Reinforcement Learning , etc. Evaluate and rank algorithms based on business impact, accuracy, and scalability Design and optimize data augmentation, preprocessing, and feature engineering pipelines Train, validate, and fine-tune models using state-of-the-art tools and strategies Monitor and improve model performance post-deployment Full Stack & Cloud Architecture Design and implement cloud-native systems using microservices , serverless , and event-driven architectures Build robust APIs and UIs for intelligent applications (using Python, Node.js, React, etc.) Use Docker , Kubernetes , and CI/CD pipelines for scalable deployment Leverage technologies like Kafka, TensorFlow, Elixir, Golang , and NoSQL/Graph DBs for high-performance ML products Define infrastructure to meet latency and throughput goals for ML systems in production Innovation & Productization Build reusable IP that can be adapted across industries and clients Rapidly prototype AI features and user-facing applications for demos and validation Collaborate closely with product managers and business stakeholders to translate use cases into scalable tech Explore and adopt new technologies and frameworks to maintain a forward-looking tech stack Required Skills & Experience 4+ years of experience building and deploying AI/ML models and scalable software systems Strong understanding of ML frameworks (TensorFlow, Keras, PyTorch), data libraries (pandas, NumPy), and model tuning Proven track record of working with large-scale data , data cleaning, and visualization Expertise in Python , and experience with at least one other language (Go, Java, Scala, etc.) Experience with front-end frameworks (React, Vue, or Angular) is a plus Proficient in DevOps practices , CI/CD, and cloud platforms (AWS/GCP/Azure) Familiarity with event-driven systems , real-time protocols (WebSockets, MQTT), and container orchestration Hands-on experience with NoSQL databases , data lakes , or distributed data platforms Preferred Traits Experience leading agile engineering teams and mentoring junior developers Strong architectural thinking, with an eye on scalability, maintainability, and performance Entrepreneurial mindset with a focus on building reusable components and IP Excellent communication skills, capable of bridging business and technical conversations Why Join Hubnex Labs? Own and architect impactful AI products used across industries Shape the data science foundation of a fast-scaling software consulting powerhouse Enjoy a creative, high-performance environment in Gurugram , with flexibility and long-term growth opportunities Contribute to next-gen solutions in AI, cloud, and digital transformation

Job_Description":" At Ennoventure, we are redefining the fight against counterfeit goods with our groundbreaking technology. Backed by key investors like Fenice Investment Group and Tanglin Venture Partners, we are ready to embark on the next phase of our journey. Our aim? To build a world where authenticity reigns, ensuring every product and experience is genuine. Here, innovation moves fast, collaboration fuels success, and your growth isn\u2019t just encouraged\u2014it\u2019s inevitable. As a Lead Product Manager, you will drive exponential business growth by shaping product strategy, delivering exceptional user experiences, and leading cross-functional collaboration. You will work closely with data science, engineering, design, and commercial teams to build scalable, cutting-edge products that deliver significant value to a global customer base. Product Strategy & Vision - Define and evolve product strategy aligned with company goals and AI capabilities. - Translate AI advancements into differentiated product features with clear value for end-users. - Work with senior leadership to articulate product vision, business value, and a scalable roadmap. Customer Discovery & Market Analysis - Conduct in-depth customer research to understand user pain points, workflows, and unmet needs. - Analyze competitive landscape, market trends, and regulatory considerations in AI SaaS. Roadmap Ownership - Define product requirements and maintain a clear, prioritized roadmap. - Lead the product lifecycle from ideation to delivery and post-launch iterations. Cross-functional Leadership - Collaborate with engineering, design, and data science teams to build scalable, ethical, and user-centric AI products. - Partner with GTM teams (Sales, Marketing, Customer Success) to ensure successful product launches and feedback loops. Execution Excellence - Write detailed product specs, define OKRs, and drive sprint planning with agile teams. - Ensure timely delivery without compromising on quality or customer impact. AI-Product Interface - Work closely with machine learning engineers and data scientists to understand model capabilities and constraints. - Translate AI research and experiments into real-world applications and intuitive user experiences. Be the P&L Owner - Demonstrate strong business judgment and data obsession. - Own long-term growth strategies and drive measurable impact on the product P&L. Be the Product Evangelist - Engage in customer discovery to unlock more value and read market evolution that ensure the product evolves to meet new customer needs and market trends. - Be fearless and drive Product thought process across the organization. Requirements - 5+ years of product management experience, with at least 2 years in B2B SaaS. - Proven experience in delivering AI/ML-powered products (preferably in Computer Vision, predictive analytics, or intelligent automation). - Strong technical foundation \u2013 able to collaborate effectively with engineering and data science teams. - Demonstrated ability to drive product vision, strategy, and roadmap in a fast-growing environment. - Has owned and delivered successful product outcomes from opportunity identification to launch - Strong product sense \u2013 highly analytical, with the ability to identify the right problems, think big and long term, and make data-informed decisions. - Well-rounded solutioning skills \u2013 human-centered, business-focused, and technology-driven. - Builds lasting peer relationships and has the ability to motivate and inspire teams to perform at their best. - Excellent written and verbal communication skills, with the ability to influence stakeholders at all levels. - Strong user empathy and a passion for creating delightful user experiences with complex technology. - Familiarity with tools like JIRA, Figma, Product board, or similar. Nice to Have - Experience with AI model lifecycle (training, evaluation, deployment, retraining). - Understanding of data privacy, security, and ethical AI frameworks. - Prior startup experience or having scaled AI products in early-stage environments. Benefits We believe that our people are the driving force behind our success, fueling big ambitions with bigger impact. We\u2019re building more than just a workplace, we\u2019re crafting a space where everyone feels seen, heard, and unstoppable. Here, you don\u2019t just thrive, you grow, innovate, and leave a mark that matters. That\u2019s why we\u2019re committed to equipping you with the best: a Total Rewards Policy that integrates- - Pay: A Competitive Salary that reflects your talent and drive! - Financial Reward: Performance-based Rewards that recognize your impact. - Well-being: Comprehensive Health Insurance & Mental Health Programs to keep you at your best! - Learning: An ongoing investment in you and your skills. - Personalized Development: Self-growth plans crafted to match your performance and career aspirations. - Compensation Reviews: Regular reviews to ensure your value aligns with market trends. ","

We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and deployment of advanced AI systems. You will work on cutting-edge machine learning models, natural language processing, computer vision, and AI infrastructure to solve real-world problems and drive innovation across our products and services. Key Responsibilities: Design, develop, and deploy scalable AI/ML models for production environments. Lead end-to-end AI project lifecycles from data collection and preprocessing to model training, evaluation, and deployment. Collaborate with cross-functional teams including data scientists, software engineers, and product managers. Optimize model performance and ensure robustness, fairness, and explainability. Stay current with the latest research and advancements in AI and machine learning. Mentor junior engineers and contribute to building a strong AI engineering culture. Required Qualifications: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred). 5+ years of experience in AI/ML engineering with a strong portfolio of deployed models. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Experience with cloud platforms (AWS, Azure) and MLOps tools. Strong understanding of data structures, algorithms, and software engineering principles. Excellent problem-solving and communication skills. Preferred Qualifications: Experience with LLMs, RAG, or agentic AI (Crew AI) systems. Familiarity with vector databases, prompt engineering, and AI safety practices. Contributions to open-source AI projects or published research papers. Experience with real-time inference systems and edge AI.

job requisition idJR1027508 Overall Responsibilities: Experience with Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI. Knowledge of algorithms, object-oriented and functional design principles, and best-practice patterns Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Experience working with large data sets and writing efficient code capable of processing large data streams at speed. Skills: Machine Learning, Deep Learning, Computer Vision, NLP Strong hands-on experience in AI/ML/Data Science, including machine learning algorithms, deep learning, NLP, computer vision, etc. Knowledge of programming languages such as Python, R, SQL, etc. Experience with AI/ML/Data Science tools and frameworks such as TensorFlow, PyTorch, etc. Excellent problem-solving skills and ability to find creative solutions to complex data science problems. Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and clients Experience: Minimum 8-12 years of experience in AI/ML/Data Science, with at least 8+ years in a leadership role Proven track record of successfully delivering AI/ML/Data Science projects Experience in mentoring and leading a team of AI/ML/Data Science professionals Day-to-Day Activities: Lead AI/ML/Data Science projects, ensuring successful delivery Mentor and guide junior team members Collaborate with cross-functional teams to provide subject matter expertise in AI/ML/Data Science Stay updated with latest AI/ML/Data Science trends and technologies Identify and evaluate new business opportunities in AI/ML/Data Science Qualification: Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field Soft Skills: Excellent leadership and team management skills Strong interpersonal and communication skills Ability to work in a fast-paced and dynamic environment Good negotiation and stakeholder management skills Passionate about AI/ML/Data Science and staying updated with latest trends and technologies.

Overview We are looking for a talented Generative AI Developer to join our dynamic team and contribute to our projects in transforming data into actionable insights. Responsibilities Design, develop, and implement generative AI models using Python and relevant libraries. Collaborate with data scientists to analyze data and improve model performance. Develop and maintain Flask APIs to serve AI models and facilitate integration with frontend applications. Utilize SQL for data manipulation and retrieval to support AI model training and evaluation. Engage in code reviews and contribute to best practices for software development. Stay updated with the latest trends and advancements in AI and machine learning technologies. Primary Skills: Proficient in Python (including libraries such as TensorFlow, PyTorch, or similar frameworks). Strong experience with SQL for database management and data querying. Familiarity with Generative AI tools and platforms (e.g., Gemini Pro). Experience in developing RESTful APIs using Flask. Secondary Skills: Understanding of machine learning concepts and algorithms. Familiarity with cloud computing services (e.g., AWS, Google Cloud) is a plus. Knowledge of data preprocessing and feature engineering techniques. Excellent problem-solving skills and ability to work in a collaborative team environment.

o Minimum of 4-6 years' experience in developing, testing, and deploying Python based applications on Azure/AWS platforms o Must have basic knowledge on concepts of Generative AI / LLMs / GPT o Deep understanding of architecture and work experience on Web Technologies o Python, SQL hands-on experience o Expertise in any popular python web frameworks e.g. flask, Django etc. o Familiarity with frontend technologies like HTML, JavaScript, REACT

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Interested in accelerating machine learning and artificial intelligence on mobile devices for millions of usersCome join our team. We are building software platforms that enable users of Qualcomms silicon to construct optimized neural networks and machine learning algorithms. We are looking for software engineers with a machine learning or compiler background who will help us build these software platforms. In this role, you will construct and tune machine learning frameworks, build compilers and tools, and collaborate with Qualcomm hardware and software engineers to enable efficient usage of Qualcomms silicon for machine learning applications. Minimum qualifications: Bachelors degree in Engineering, Information Systems, Computer Science, or related field. Programming in C/C++ 0 to 10 years of software engineering or related work experience Preferred qualifications: Experience in machine learning frameworks such as MxNet/NNVM/TVM, Pytorch, Tensorflow, Caffe OR experience in compilers with an interest in machine learning Deep knowledge of software engineering Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Interested in accelerating machine learning and artificial intelligence on mobile devices for millions of usersCome join our team. We are building software platforms that enable users of Qualcomms silicon to construct optimized neural networks and machine learning algorithms. We are looking for software engineers with a machine learning or compiler background who will help us build these software platforms. In this role, you will construct and tune machine learning frameworks, build compilers and tools, and collaborate with Qualcomm hardware and software engineers to enable efficient usage of Qualcomms silicon for machine learning applications. Minimum qualifications: Bachelors degree in Engineering, Information Systems, Computer Science, or related field. Programming in C/C++ 2 to 4 years of software engineering or related work experience Preferred qualifications: Experience in machine learning frameworks such as MxNet/NNVM/TVM, Pytorch, Tensorflow, Caffe OR experience in compilers with an interest in machine learning Deep knowledge of software engineering Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: 2-4 years of experiences in image processing/computer vision/camera domain. Working experience with machine learning framework/packages (e.g, PyTorch, TensorFlow, Keras etc.) Strong hands on experience on developing object detection, tracking or face detection algorithms. Strong background in image and signal processing, statistics, and data analysis. Developing machine learning algorithms for advanced imaging features Strong programming skills and working experience in C/C++\ assembly programming skills, multithreading and RTOS/OS concepts\fundamentals and Python. Strong debugging skills to debug complex system level issues. Collaborate with cross-functional teams to design, implement and debug camera\multimedia features for mobiles. Good analytical and problem-solving skills. Responsibilities: Development and productize camera essential features on Qualcomm chipsets for mobile Influence camera HW architecture in Qualcomm chipsets Collaborate with systems, software, hardware teams at various stages of chipset life in design/validation/commercialization. Customer interaction to commercialize Qualcomm camera solutions. Individual contributions and working with cross functional teams on camera essential features design/planning/execution/commercialization for future Snapdragon chipsets Education requirements: RequiredBachelor's/Masters/PHd Computer Engineering and/or Electrical / Electronic Engineering Preferred Masters Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Qualcomm XR Research India is rapidly expanding to offer state of the art XR solutions. To scale and strengthen our offering in this domain, we are seeking Systems Lead Engineer who will drive the next-generation technologies and architectures, shaping the future of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) use cases. Job Summary: The XR Research team builds and tests prototype devices for different perception technologies. We are looking for an embedded engineer with proven track record in embedded product development including experience in low-level device driver development, HW/SW interfaces, bringing up camera/IMU sensors drivers, I2C/SPI, and basics of electronics. Team member will be responsible for coordinating with different stake holders in consolidating and defining the reference/prototype device requirements for perception features, bring up of new camera sensors, IMU sensors and work with various stakeholders like ID design, electronics team in building the reference/prototype devices. Candidates should be flexible in their work assignments as priorities can change quickly in this fast-paced environment. Minimum Qualifications: Education: Bachelor's degree in Computer Science, Electrical Engineering, Information Systems, or related field. Work Experiences: 3+ years experience with C++ Programming Language and embedded device development. Skills: Design and develop highly optimized embedded software/firmware using C, C++ language on Windows/Android/Linux. Strong understanding of embedded hardware & driver concepts Strong verbal and written communication skills Team player who can function well with minimum supervision Preferred Qualifications: Education: Master's degree in Computer Science, Electrical Engineering, Information Systems, or related field. Work Experiences: 3+ years experience with C++ Programming Language and embedded device development. Skills: Experience with Augmented/Virtual Reality, general computer vision enabling technologies Experience in designing prototype devices using microcontroller, sensors, FPGA, cameras and IMUs. Experience with cameras, flash/LEDs and/or IMUs sensor drivers development

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Qualcomm XR Research India is rapidly expanding to offer state of the art XR solutions. To scale and strengthen our offering in this domain, we are seeking a systems architect who will drive the next-generation technologies and architecture, shaping the future of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) use cases. Responsibilities: Your responsibilities will span across technical leadership, system architecture, software architecture, implementation and compute analysis. Here are the key aspects of your role: Drive technical workstreams related to perception, reprojection, split-processing and other XR technologies. Identify and deeply understand the use cases for AR/VR/MR applications. Collaborate with cross-functional teams to translate use case requirements into detailed implementation specifications. Define system and software architecture, considering hardware/software tradeoffs, compute and memory constraints. Optimize compute workload distribution across different subsystems on the SoC for efficient performance and power. Validate and optimize architecture definitions through system-level use case modeling. Prototype new use cases to understand the compute and memory requirements, and influence future software/hardware features and reference device specification. Minimum Qualifications: 9+ years of experience in systems engineering with a bachelors degree in electrical engineering, information systems, computer science, or related field. Hands-on experience in defining systems architecture and software design for multi-core architectures (CPUs, GPUs, DSPs, etc.), including performance analysis on heterogeneous architectures (core, multi-level cache, memory, etc.). Proficiency in documenting call flows and data flows for both software and hardware components. Strong communication skills and ability to work effectively in a team. Preferred Qualifications: 8+ years of experience in systems engineering with masters and/or PhD degree in electrical engineering, information systems, computer science. Proven expertise in AR/VR, computer vision, machine learning, perception, camera technology, graphics pipeline, hardware design, SoC architecture, HW/SW partitioning, and system modeling (power, performance). Proficiency in C++, and Object-Oriented SW design Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.