710 Opencv Jobs - Page 14

Coditas Solutions is seeking a highly skilled and motivated Data Scientist to join our dynamic team. As a Data Scientist, you will play a key role in designing, implementing, and optimizing machine learning models and algorithms to solve complex business challenges. If you have a passion for leveraging AI and ML technologies to drive innovation, this is an exciting opportunity to contribute to groundbreaking projects. Roles and Responsibilities Design, implement, and optimize machine learning algorithms using R and Python. Work on developing predictive models and decision-making systems. Conduct exploratory data analysis to understand data patterns and insights. Collaborate with data engineers to ensure the availability and quality of data for model training. Deploy machine learning models into production environments. Collaborate with cross-functional teams to integrate models into existing systems. Continuously optimize and improve the performance of machine learning models. Stay updated on the latest advancements in ML algorithms and technologies. Work closely with software engineers to ensure seamless integration of AI/ML solutions. Collaborate with clients to understand their business requirements and customize solutions accordingly. Technical Skills Excellent programming skills with the ability to implement complex algorithms in Python or R. Experience with cloud-based platforms (AWS, Azure, GCP) for deploying machine learning models. Strong experience of minimum 5 years in developing and implementing machine learning algorithms. Experience with model deployment and integration into production systems. Hands-on experience with use of standard classical machine learning libraries such as Scikit learn, NLTK, OpenCV as well as deep learning libraries Tensorflow, PyTorch, Keras. Understanding of machine learning algorithms, techniques, and concepts (linear regression, logistic regression, decision trees, random forests, neural networks, etc.). Experience with data preprocessing, feature engineering, and model evaluation techniques of structured and unstructured data. Proven experience with identifying, creating and selecting relevant features or variables to enhance model performance. Ability to collaborate effectively with cross-functional teams. Previous experience working on real-world AI/ML projects. Should be focused on linear algebra, machine learning, and statistics & probability are preferred. Ability to have a basic knowledge of the LLMs and optimal use of the GenAI models. Strong problem-solving and critical-thinking skills. Excellent communication and collaboration skills. Join our team and be part of a fast-paced and innovative work environment where your expertise will make a significant impact on our organization's growth and success. For more details please visit our social media handles: Show more Show less

Job Title: Sr. Data Scientist Location: Office-Based (Ahmedabad, India) About Hitech Hitech is a leading provider of Data, Engineering Services, and Business Process Solutions. With robust delivery centers in India and global sales offices in the USA, UK, and the Netherlands, we enable digital transformation for clients across industries including Manufacturing, Real Estate, and e-Commerce. Our Data Solutions practice integrates automation, digitalization, and outsourcing to deliver measurable business outcomes. As we continue expanding, we’re looking for a skilled Lead Data Scientist to guide innovation, lead teams, and solve complex problems using advanced analytics and machine learning. Position Summary As a Lead Data Scientist, you will lead a team of data scientists, machine learning engineers, and big data specialists to design, develop, and deploy data-driven solutions. You will be responsible for identifying business opportunities, translating them into data strategies, and driving measurable outcomes. This role demands strong leadership, deep technical expertise, and a passion for continuous innovation. Key Responsibilities Manage a team of data scientists, machine learning engineers, and big data specialists. Lead data mining, data collection, and cleansing procedures. Ensure high standards of data quality and integrity across all projects. Interpret complex data sets to identify patterns, trends, and actionable insights. Conceive, plan, and prioritize data science initiatives aligned with business goals. Develop and deploy scalable analytics systems and predictive models. Test and validate data-driven products for performance and reliability. Create compelling visualizations and comprehensive reports for stakeholders. Experiment with emerging models and machine learning techniques for innovation. Qualifications & Experience 6-8 years of working experience in Image Processing using deep learning frameworks such as OpenCV, PyTorch, TensorFlow, Theano, and Caffe. Experience in Text Analytics using NLP tools and techniques on unstructured data. Proven track record in building, deploying, and scaling statistical and deep learning models. Experience with large-scale data (structured and unstructured), data management, parallel computing, and distributed systems. Ability to thrive with minimal supervision in a dynamic, fast-paced environment. Capability to understand diverse business processes and quickly contextualize data requirements. Strong problem-solving skills to translate business problems into actionable data strategies. Excellent communication skills (verbal and written) with a learning and innovation mindset. Strong passion for leveraging AI/ML to solve business problems and a proactive approach to experimentation. Hands-on experience with exploratory data analysis, machine learning, and advanced analytics methods. What We Offer Competitive compensation based on skills and experience. Leadership role in building and scaling AI/ML initiatives. Opportunity to work on high-impact global projects with cutting-edge technologies. Continuous learning, innovation, and professional development support. A collaborative, inclusive, and tech-driven workplace environment. If you're passionate about driving innovation through data and leading a dynamic team to solve real-world problems, we’d love to hear from you. Anand Soni Hitech Digital Solutions Show more Show less

About the Company Zetheta Algorithms Private Limited (www.zetheta.com) is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official/ About the Role We are seeking a talented and motivated student intern to develop AI models from scratch within a 2 month timeframe. This is an extraordinary opportunity for a self-driven, technically skilled student to build a complete enterprise-grade system that incorporates cutting-edge AI technologies including deep learning. Responsibilities Design and implement the complete AI Models following provided specifications Develop both frontend and backend components of the platform Create and integrate AI modules Design and optimize database schema and queries Ensure system security, especially for sensitive identity verification data Deploy the solution using zero-cost cloud services Document code, APIs, and system architecture Complete the entire project within the 2 month timeline Qualifications A student who is currently pursuing or recently completed a degree in Computer Science, AI/ML, or related field. Required Skills Strong programming skills in Python and JavaScript Experience with React.js for frontend development Knowledge of FastAPI or similar Python web frameworks Familiarity with database design and SQL (particularly PostgreSQL) Understanding of basic machine learning concepts Self-motivated with ability to work independently Preferred Skills Sound knowledge of AI/ML libraries (TensorFlow, Keras, HuggingFace Transformers) Familiarity with computer vision techniques using OpenCV Knowledge of natural language processing concepts Sound knowledge of facial recognition or emotion detection systems Understanding of identity verification methodologies Docker containerization experience Prior work with cloud deployment (AWS) Who Should Apply? Student or fresh graduate from any academic discipline. Strong analytical and problem-solving skills. Basic knowledge of Microsoft Office. Willingness to self-learn and work in a fast-paced environment. Internship Details Duration: Self paced, options for 1,2,3,4 or 6 months. Type: Unpaid Show more Show less

Key Responsibilities: Design, develop, and deploy AI models and algorithms to solve business problems. Work with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Train, test, and validate models using large datasets. Integrate AI solutions into existing products and applications. Collaborate with data scientists, software engineers, and product teams to build scalable AI solutions. Monitor model performance and continuously improve accuracy and efficiency. Stay updated with the latest AI trends, tools, and best practices. Ensure AI models are ethical, unbiased, and secure. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 4 to 5 Years of Proven experience in developing and deploying AI/ML solutions. Proficiency in Python and libraries like NumPy, Pandas, OpenCV, etc. Solid understanding of machine learning, deep learning, and NLP techniques. Experience with cloud platforms (AWS, Azure, or Google Cloud) is a plus. Strong problem-solving skills and ability to translate business needs into technical solutions. Excellent communication and collaboration skills. Preferred Qualifications: Experience with data preprocessing, feature engineering, and model tuning. Familiarity with reinforcement learning or generative AI models. Knowledge of MLOps tools and pipelines (e.g., MLflow, Kubeflow). Hands-on experience in deploying AI applications to production environments. Job Types: Full-time, Permanent Pay: ₹1,200,000.00 - ₹2,000,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Provident Fund Location Type: In-person Schedule: Day shift Fixed shift Monday to Friday Ability to commute/relocate: Gandhinagar, Gujarat: Reliably commute or planning to relocate before starting work (Required) Experience: Android Development: 3 years (Required) Work Location: In person

We are seeking highly motivated and technically skilled interns to join our R&D team. This internship will focus on the design and development of real-time object follow-up & detection systems integrated with many platforms/applications, drones, leveraging AI, machine learning, and embedded hardware technologies Selected Intern’s Day‑to‑day Responsibilities Include Assisting in the development of object‑detection algorithms using Python, OpenCV, and TensorFlow or PyTorch, including implementation with techniques like YOLO and Haar cascades. Integrating object‑tracking modules such as KCF, CSRT, or DeepSort into drone control systems for real‑time applications and testing detection pipelines. Designing, programming, and testing embedded systems using platforms like Arduino, Raspberry Pi, ESP8266, LoRa, and ATmega microcontrollers, working with peripherals such as stepper/servo motors, LCDs, keypads, USB, and Wi‑Fi modules. Developing and debugging code in C, C++, Embedded C++, and Python to ensure real-time hardware interaction and system responsiveness. Collaborating on PCB design and hardware prototyping to integrate custom interfaces and sensors into the system, conducting component layout and assembly. Participating in system-level integration and testing of AI-enabled surveillance or drone-based solutions, evaluating performance in real-world conditions. Documenting design processes, coding workflows, test results, and contributing to technical reports and user manuals to support transparency and reproducibility. About Company: RST Ecoenergy Private Limited is an innovative startup specializing in the manufacturing of high-quality LED Lights and solar products, Defence-Tech, along with electronics PCB designing and development. RST focuses on providing innovative and efficient Lighting Solutions for various sectors. RST specially manufactures some special lights for defence, Inflatable Tower Light, Remote Area Portable Lights, IR Illuminator, Pneumatic Tower Light,and Motorised Revolving Search Light for Watch Tower and Marine. We're proud to be an ISO 9001:2015 certified, MSME ZED unit, and recognized as a startup by the Government of India and UP. Our products are sold across India. Our commitment to excellence is reflected in our partnerships with leading companies. The entire range of products is made in India with high quality and ensures compliance with international quality standards Show more Show less

Job Title Data Scientist (AI for Computer Vision) Job Description We are seeking an experienced Data Scientist specializing in AI for Computer Vision to join our dynamic team. Your primary responsibilities will include developing, fine-tuning, and optimizing AI models for computer vision applications, driving innovation in various healthcare applications. You will work closely with cross-functional teams, including machine learning engineers, software developers, and product managers, to deliver state-of-the-art AI solutions. Your role: Explore and develop innovative Artificial Intelligence (AI) algorithms for healthcare applications Create and refine AI algorithms for pre- and post-processing of images and videos, focusing on data from various imaging modalities Develop and implement machine learning and deep learning techniques for segmentation, classification, and statistical modeling. Demonstrate expertise in image processing, object detection, segmentation, and classification. Proficient in Python programming Possess a strong understanding of algorithms and frameworks such as TensorFlow, PyTorch, and Keras Experienced with version control systems (e.g., Git) and software development practices Develop and Optimize Computer Vision Models: Design, train, and fine-tune DL models for real-world applications Data Preparation & Engineering: Gather, clean, and preprocess large-scale image and video datasets for training and evaluation of computer vision models Experimentation & Model Evaluation: Conduct A/B testing and assess model performance using quantitative metrics (e.g., IoU, mAP, precision, recall) Research & Innovation: Stay updated with the latest advancements in computer vision, deep learning, and related technologies Deployment & Scaling: Work with ML engineers to deploy models into production environments using cloud platforms (AWS, Azure) and frameworks like TensorFlow, PyTorch, and OpenCV Collaboration & Communication: Work closely with cross-functional teams to integrate computer vision solutions into business processes and applications. You're the right fit if: Bachelor’s or master’s Degree: In computer science, AI, Data Science, Machine Learning, or a related field Experience: 3+ years in machine learning, deep learning, or AI research, with at least 1 year of hands-on experience in developing computer vision-based AI applications Programming Proficiency: Strong proficiency in Python and ML frameworks like TensorFlow and PyTorch Domain Knowledge: Knowledge of computer vision, natural language processing (NLP), or multimodal AI applications Technical Skills: Familiarity with computer vision techniques and fine-tuning of models Problem-Solving Skills: Strong problem-solving skills and the ability to work in a fast-paced, research-driven environment MLOps Tools: Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes) Ethical AI: Understanding of ethical AI and bias mitigation in computer vision models. Publications and Contributions: Strong publication record or contributions to open-source AI projects. How We Work Together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. this role is an office role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. Learn more about our business. Discover our rich and exciting history. Learn more about our purpose. If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here. Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 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.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and implement new technologies to improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Good To Have Skills: Experience with machine learning frameworks such as TensorFlow or PyTorch.- Strong understanding of data analysis and statistical modeling techniques.- Experience in deploying AI models in cloud environments like AWS, Azure, or Google Cloud.- Familiarity with data preprocessing and feature engineering techniques. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Management Level: Ind & Func AI Decision Science Analyst Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 1-3 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 1-3 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 1-3 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

Job Title - S&C Global Network - AI - CMT AI Architecture - Sr Manager Management Level:6-Senior Manager Location:Open Must-have skills: AI Architecture/ Gen AI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. AI Architecture strategy and Assessment: Lead the development and assessment of AI architectures, ensuring they align with business goals and objectives. Evaluate existing AI solutions, identifying areas for improvement, optimization, and innovation. Operating Model Design: Design robust operating models for Generative AI implementations, considering scalability, efficiency, and business impact. Collaborate with cross-functional teams to integrate AI capabilities seamlessly into existing operational workflows. Develop comprehensive blueprints for Generative AI solutions, outlining technical specifications, data requirements, and integration points. Ensure blueprints adhere to industry best practices and standards. Roadmap Building: Create strategic roadmaps for the implementation and evolution of Generative AI solutions. Define milestones, key performance indicators (KPIs), and success criteria to measure the progress of AI initiatives. Incubating GenAI Solutions: Identify emerging trends and technologies in Generative AI and incubate innovative solutions. Work closely with research and development teams to experiment and prototype new Generative AI concepts. Oversee the end-to-end implementation of Generative AI solutions, collaborating with engineering teams to ensure successful deployment. Provide technical leadership and guidance throughout the implementation lifecycle. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven track record of designing and implementing successful AI solutions in real-world business environments. In-depth knowledge of AI architectures, frameworks, and tools. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities, with experience working cross-functionally. Demonstrated leadership in driving AI initiatives from conception to deployment. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques Proficiency in Python programming language and key libraries like Pandas, TensorFlow, PyTorch, and Keras. Understanding and implemention knowledge of deep learning architectures such as CNNs, RNNs, and GANs. Good software engineering practices, including code modularization, documentation, and testing Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure can be beneficial for deploying and scaling GenAI models. If you are a visionary AI architect with a passion for innovation and a proven track record of delivering impactful Generative AI solutions, we invite you to apply and contribute to our dynamic and forward-thinking organization. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 12+ years Educational Qualification: Btech/ BE

Job Title - S&C Global Network - AI - CMT ML Ops Ass Manager Management Level:8- Associate Manager Location:Open Must-have skills: AI Architecture/ Gen AI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. AI Architecture strategy and Assessment: Lead the development and assessment of AI architectures, ensuring they align with business goals and objectives. Evaluate existing AI solutions, identifying areas for improvement, optimization, and innovation. Operating Model Design: Design robust operating models for Generative AI implementations, considering scalability, efficiency, and business impact. Collaborate with cross-functional teams to integrate AI capabilities seamlessly into existing operational workflows. Develop comprehensive blueprints for Generative AI solutions, outlining technical specifications, data requirements, and integration points. Ensure blueprints adhere to industry best practices and standards. Roadmap Building: Create strategic roadmaps for the implementation and evolution of Generative AI solutions. Define milestones, key performance indicators (KPIs), and success criteria to measure the progress of AI initiatives. Incubating GenAI Solutions: Identify emerging trends and technologies in Generative AI and incubate innovative solutions. Work closely with research and development teams to experiment and prototype new Generative AI concepts. Oversee the end-to-end implementation of Generative AI solutions, collaborating with engineering teams to ensure successful deployment. Provide technical leadership and guidance throughout the implementation lifecycle. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven track record of designing and implementing successful AI solutions in real-world business environments. In-depth knowledge of AI architectures, frameworks, and tools. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities, with experience working cross-functionally. Demonstrated leadership in driving AI initiatives from conception to deployment. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques Proficiency in Python programming language and key libraries like Pandas, TensorFlow, PyTorch, and Keras. Understanding and implemention knowledge of deep learning architectures such as CNNs, RNNs, and GANs. Good software engineering practices, including code modularization, documentation, and testing Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure can be beneficial for deploying and scaling GenAI models. If you are a visionary AI architect with a passion for innovation and a proven track record of delivering impactful Generative AI solutions, we invite you to apply and contribute to our dynamic and forward-thinking organization. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 6+ years Educational Qualification: Btech/ BE

Collaborate with cross-functional teams to achieve strategic outcomes Apply subject expertise to support operations, planning, and decision-making Utilize tools, analytics, or platforms relevant to the job domain Ensure compliance with policies while improving efficiency and outcomes

We are a Sports Tech company innovating in real-time decision-making using AI-powered solutions. Our work spans both software and hardware, with a focus on precision, durability, and performance in high-speed sports environments. Our proprietary technology is patented and officially approved by the Badminton World Federation BWF. Key Responsibilities Design and develop Android applications using Java/Kotlin. Integrate and deploy AI models within Android apps. Implement real-time image/video processing using OpenCV on Android. Collaborate with cross-functional teams to deliver robust, efficient software. Maintain code in GitHub, follow best practices in version control and CI/CD . Optimize performance for low-latency and edge device use cases. Must-Have Skills Strong experience with Android OS and the Android ecosystem. Proficient in Java and/or Kotlin for Android development. Solid knowledge of OpenCV in Android for image/video processing. Experience with version control, preferably GitHub Nice to Have Experience in deploying AI/ML models in Android apps (TensorFlow Lite, ONNX, etc.) Experience with C++ application development for Android (NDK). Integration of FFmpeg in Android for media processing. Knowledge of Android app performance tuning and low-level optimization. Qualifications Bachelors or Masters degree in Computer Science, Engineering, or a related field. 2+ years of experience in Android application development.

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 : Large Language Models Good to have skills : NAMinimum 15 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 generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- 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 sessions to enhance team capabilities.- Mentor junior professionals to foster their growth and development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud computing platforms and services.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 15 years of experience in Large Language Models.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

About Us: i2v systems is a technology company in video surveillance and video analytics software. i2V stands for intelligent integrated video. i2V is a technology R&D company focusing on the design, development, and production of intelligent surveillance products. The product offerings include IP video management software, intelligent video analytics/analysis using image processing, computer vision, machine, and deep learning, automatic number plate detection system, red light violation detection system, automatic traffic counting & classification (ATCC), central monitoring system, command, and control system, smart city dashboard, PSIM (physical security information management), incident management system, cloud surveillance, and mobile surveillance. The Opportunity: We are looking to hire a Computer Vision Engineer for our Tech team where you will be responsible for development and optimization of various computer vision algorithms/pipelines for video surveillance. Role type: Fulltime, Onsite Location: Gurugram, Haryana Required Experience : Minimum 1 years of experience in a similar role Job responsibilities: 1. Development of object detection, classification, tracking, and counting algorithms 2. Porting of already existing algorithms/pipelines to GPU 3. Optimization of already existing CPU/GPU algorithms/pipelines Required Skills: 1. Proficiency in any programming language, preferably C++ or Python.. 2. Strong understanding of image processing, computer vision algorithms and machine learning. 3. High competency with image processing, computer vision and machine learning libraries such as OpenCV, Keras, OpenVino, Deepstream, Pytorch, Tensorflow. 4. Experience with rapid prototyping with e.g. Python, OpenCV 5. Previous work in video surveillance is a big plus 6. Should work independently as well as with team Show more Show less

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Skills/experience: Recent and relevant experience required in one or more of the following areas: 3-6 years of experiences in image processing/computer vision/video domain. Good understanding of image processing and computer vision fundamentals.. Hands on knowledge\experience on camera/computer vision pipeline, development, porting and optimization Experience in optimizing the image processing kernels on x86/ARM-Neon/DSP or Any VLIW based architecture. Solid C\assembly programming skills, multithreading and OS concepts\fundamentals. Collaborate with cross-functional teams to design, implement and debug CV\multimedia features for mobiles. Good analytical and problem solving skills. Exposure to OpenCV APIs is a plus. Responsibilities: The successful candidate(s) will be responsible for: Development and productize various CV solutions on Qualcomm processors. Optimize CV algorithms on CPU, DSP & GPUs. Enhance CV, imaging Firmware solutions and help with video, imaging hardware subsystem enhancements in future Qualcomm Mobile Processors Design of CV, imaging features and work with a wide set of teams across the company (systems, software, hardware, etc.) in the productization Customer interaction to commercialize Qualcomm CV solutions. Education requirements: Required: Bachelor's/Master’s Computer Engineering and/or Electrical / Electronics Engineering Preferred : Masters Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Title: Python Developer Location: Hyderabad / Pune Job Type: Contractual – Full Time Start Date: June 17, 2025 Duration: 3 months Experience Required: 5–8 years Salary Range: ₹65,000 – ₹75,000 per month Mandatory Skills: Python (5–8 years) Microservices architecture Flask and FastAPI PostgreSQL and SQLAlchemy Role Overview: We’re seeking an experienced Python Developer to join a high-impact project focused on scalable microservices and robust API development. If you’re passionate about backend systems, performance optimization, and writing clean, testable code—this role is for you. Key Responsibilities: Develop, deploy, and maintain APIs using Flask and FastAPI Work with microservices architecture and integrate databases (PostgreSQL, MongoDB) Write efficient and scalable code with multithreading/multiprocessing capabilities Build API automation scripts and reusable backend modules Use tools like Pandas, NumPy, and OpenCV for data manipulation and visualization Create RESTful services and consume third-party APIs Work within Agile methodologies and CI/CD pipelines Debug, test, and optimize applications using Python testing frameworks Implement performance tuning and automation for backend processes Collaborate with cross-functional teams on high-performance solutions Preferred Exposure: Data visualization (matplotlib, reportLab) Experience in digital tools for online traffic monitoring Strong scripting and backend automation background Note: Candidates must be ready to start by June 17, 2025. Apply now if you’re ready to bring your Python expertise to a challenging and rewarding project. Job Types: Full-time, Permanent Pay: ₹65,000.00 - ₹75,000.00 per month Benefits: Health insurance Internet reimbursement Paid time off Provident Fund Location Type: In-person Schedule: Day shift Monday to Friday Work Location: In person Speak with the employer +91 8595325853

Job Overview: We are seeking a motivated and skilled AI Developer with 1–3 years of experience to join our growing tech team. The ideal candidate will have a strong understanding of machine learning algorithms, natural language processing (NLP), and hands-on experience in building and deploying AI models. You will work on innovative projects that leverage AI to solve real-world problems. Key Responsibilities: Develop, train, and optimize machine learning and deep learning models. Work with large datasets, preprocess and clean data for analysis and modeling. Implement NLP pipelines, recommendation systems, or computer vision models as required. Collaborate with data engineers, product managers, and developers to integrate AI solutions into production. Continuously evaluate and improve model performance. Stay updated with the latest advancements in AI and ML technologies. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. 1–3 years of hands-on experience in AI/ML development. Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV, or Hugging Face. Strong understanding of machine learning concepts and statistical modeling. Familiarity with NLP, computer vision, or generative AI tools (e.g., LangChain, OpenAI API) is a plus. Experience with cloud platforms like AWS, GCP, or Azure is preferred. Good problem-solving skills and ability to work in a collaborative team environment. Nice to Have: Experience in deploying models using Flask, FastAPI, or Streamlit. Exposure to MLOps tools and practices. Knowledge of data visualization tools and techniques. Show more Show less

Key Responsibilities Model Development: Design and implement computer vision algorithms for object detection, tracking, segmentation, and localization. Framework Expertise: Utilize YOLO (v4/v5/v8) for real-time object detection tasks, leveraging its efficiency and accuracy. Image Processing: Employ OpenCV for image preprocessing, feature extraction, and enhancement to support downstream tasks. Perception Systems: Develop perception pipelines integrating camera, LiDAR, and radar data for autonomous systems. Optimization: Optimize models for performance on edge devices, ensuring real-time processing capabilities. Collaboration: Work closely with cross-functional teams to integrate computer vision solutions into products and services.zettlor.com+1karkidi.com+1arxiv.org+1arxiv.org+1 Required Skills & Qualifications Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field. Experience: 3+ years of experience in computer vision and perception system development. Technical Skills: Proficiency in Python and C++ programming languages. Hands-on experience with YOLO architectures (v4/v5/v8). Strong command of OpenCV for image processing tasks. Familiarity with deep learning frameworks such as TensorFlow and PyTorch. Experience with sensor fusion techniques and multi-sensor data integration. Tools & Platforms: Experience with simulation environments like ROS (Robot Operating System). Familiarity with GPU programming and optimization using CUDA. Knowledge of version control systems like Git. Soft Skills: Strong problem-solving abilities and analytical thinking. Excellent communication and teamwork skills. Ability to work in a fast-paced, dynamic environment.karkidi.com Desired Skills Experience with autonomous vehicle perception systems. Knowledge of advanced object detection techniques beyond YOLO. Familiarity with edge computing platforms (e.g., NVIDIA Jetson). Publications or contributions to open-source computer vision projects. Job Types: Full-time, Permanent Schedule: Day shift Experience: Computer vision: 1 year (Required) Work Location: In person

Technical Expertise : (minimum 2 year relevant experience) ● Solid understanding of Generative AI models and Natural Language Processing (NLP) techniques, including Retrieval-Augmented Generation (RAG) systems, text generation, and embedding models. ● Exposure to Agentic AI concepts, multi-agent systems, and agent development using open-source frameworks like LangGraph and LangChain. ● Hands-on experience with modality-specific encoder models (text, image, audio) for multi-modal AI applications. ● Proficient in model fine-tuning, prompt engineering, using both open-source and proprietary LLMs. ● Experience with model quantization, optimization, and conversion techniques (FP32 to INT8, ONNX, TorchScript) for efficient deployment, including edge devices. ● Deep understanding of inference pipelines, batch processing, and real-time AI deployment on both CPU and GPU. ● Strong MLOps knowledge with experience in version control, reproducible pipelines, continuous training, and model monitoring using tools like MLflow, DVC, and Kubeflow. ● Practical experience with scikit-learn, TensorFlow, and PyTorch for experimentation and production-ready AI solutions. ● Familiarity with data preprocessing, standardization, and knowledge graphs (nice to have). ● Strong analytical mindset with a passion for building robust, scalable AI solutions. ● Skilled in Python, writing clean, modular, and efficient code. ● Proficient in RESTful API development using Flask, FastAPI, etc., with integrated AI/ML inference logic. ● Experience with MySQL, MongoDB, and vector databases like FAISS, Pinecone, or Weaviate for semantic search. ● Exposure to Neo4j and graph databases for relationship-driven insights. ● Hands-on with Docker and containerization to build scalable, reproducible, and portable AI services. ● Up-to-date with the latest in GenAI, LLMs, Agentic AI, and deployment strategies. ● Strong communication and collaboration skills, able to contribute in cross-functional and fast-paced environments. Bonus Skills ● Experience with cloud deployments on AWS, GCP, or Azure, including model deployment and model inferencing. ● Working knowledge of Computer Vision and real-time analytics using OpenCV, YOLO, and similar Job Type: Full-time Pay: From ₹300,000.00 per year Schedule: Day shift Experience: AI Engineer: 1 year (Required) Work Location: In person Expected Start Date: 23/06/2025

Join MSBC as an AI ML Engineer – Build AI-Powered Solutions At MSBC, we develop cutting-edge AI solutions that drive real-world impact. As a Junior AI Engineer, you will work on Computer Vision and Natural Language Processing (NLP) projects, supporting our AI team in developing and fine-tuning models. This role is perfect for those who have worked on AI projects—whether through college, hackathons, or personal research—and are eager to expand their expertise in a collaborative environment. Key Tools and Frameworks Deep Learning Frameworks: PyTorch, TensorFlow NLP & CV Libraries: Hugging Face, OpenCV, Transformers Languages: Python (FastAPI/Flask) Version Control: Git Key Responsibilities Assist in building and improving AI models for Computer Vision and NLP applications . Work with deep learning frameworks (PyTorch, TensorFlow) to implement, train, and evaluate models. Explore pre-trained models and fine-tuning techniques to enhance AI performance (bonus if you have prior experience). Collaborate with the AI team to process datasets and optimize model efficiency. Write clean, well-documented code and contribute to AI research discussions. Stay updated with the latest AI advancements and experiment with new techniques. Required Skills and Qualifications 1 year of experience in AI/ML (college projects, hackathons, or research count). Familiarity with Computer Vision or NLP techniques and relevant libraries ( Hugging Face, OpenCV, etc. ). Experience with deep learning frameworks (PyTorch, TensorFlow) . Strong programming skills in Python . Enthusiasm for AI and a willingness to learn and experiment . Good problem-solving and analytical skills. Nice to Have but not Mandatory: Experience with fine-tuning models Experience with Frontend Development frameworks like React and Next JS. Experience in authoring and implementing academic papers. MSBC Group has been a trusted technology partner for over 20 years, delivering innovative AI solutions across various industries. As a Junior AI Engineer, you will work on real AI applications, collaborate with experienced professionals, and gain hands-on experience in AI model development. Join us and start your journey towards building the future of AI with MSBC! Show more Show less

Job Title: Lead Data Scientist – NLP & Computer Vision Location: India (Remote, with monthly travel to Indore and occasional travel to the UK) Employment Type: Permanent, Full-time Required Skills & Experience: 6+ years of hands-on experience in data science, with at least 4 years focused on NLP and computer vision. About the Role: We’re seeking an ambitious and highly capable Lead Data Scientist with deep expertise in Natural Language Processing (NLP) and Computer Vision (OpenCV) to take a leading role in our AI journey. This is a hands-on technical role with strategic scope — ideal for someone who thrives in building robust solutions, mentoring others, and wants to grow into a Head of Data Science position. You’ll be responsible for delivering high-impact AI projects across diverse data domains (text, image, and structured data), while also setting technical direction, guiding junior colleagues, and helping shape our data science capability across the organisation. Excellent communication — both written and spoken — will be critical, as you’ll work closely with technical and non-technical stakeholders in India and internationally. Key Responsibilities: Design, build, and deploy production-ready NLP and computer vision models to solve real-world problems. Lead by example with hands-on development, research, and experimentation using cutting-edge ML/DL techniques. Guide and mentor a small team of junior/mid-level data scientists and actively contribute to their growth. Collaborate with cross-functional teams (Engineering, Product, Business) across geographies. Apply advanced NLP techniques (e.g. classification, summarisation, entity extraction, semantic search) using tools like spaCy, HuggingFace Transformers, BERT, GPT, etc. Solve computer vision challenges (e.g. object detection, image classification, feature extraction) using OpenCV, PyTorch, TensorFlow, etc. Drive quality and performance tuning, experimentation frameworks, and model lifecycle practices. Contribute to defining a strategic roadmap for data science and AI within the business. Work with cloud platforms (Azure, AWS) for model training, deployment, and monitoring. Occasionally travel to Indore (monthly) and to the UK (as needed) for collaborative sessions and leadership meetings. Required Skills & Experience: 6+ years of hands-on experience in data science, with at least 4 years focused on NLP and computer vision. Strong Python skills, including use of Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. Experience deploying ML models in cloud environments (Azure, AWS, or similar). Solid grounding in machine learning fundamentals and deep learning architectures. Proven ability to solve end-to-end ML problems — from exploration to deployment and monitoring. Experience mentoring junior team members or leading technical efforts. Excellent spoken and written English communication skills – able to clearly convey complex ideas to both technical and business audiences. Collaborative mindset, with the ability to engage confidently across distributed teams and international stakeholders. Show more Show less

Responsibilities: * Develop machine learning models using TensorFlow, NumPy & OpenCV. * Implement computer vision solutions with CNNs & object detection techniques. Provident fund

Job Title AI/ML Trainer (Contractual – 4 to 5 Months) Location: Hyderabad (Onsite Preferred) Experience Required: 2 to 4 years Contract Duration 4 to 5 Months (Extendable based on performance and requirement) Job Type Contractual / Freelance Trainer About The Role We are seeking an experienced and passionate AI/ML Trainer to deliver hands-on training for a structured Artificial Intelligence & Machine Learning program. This is a contract-based opportunity ideal for professionals with strong technical expertise and a flair for teaching. Key Responsibilities Deliver in-depth classroom and lab-based training sessions on core AI/ML topics. Design, develop, and maintain training material, assignments, and project modules. Conduct doubt-clearing sessions, assessments, and live coding exercises. Guide students through capstone projects and real-world datasets. Evaluate learner performance and provide constructive feedback. Stay updated with the latest industry trends, tools, and techniques in AI/ML. Topics To Cover Python for Data Science Statistics and Linear Algebra Basics Machine Learning (Supervised, Unsupervised, Ensemble Techniques) Deep Learning (ANN, CNN, RNN, etc.) Natural Language Processing (NLP) Model Deployment (Flask, Streamlit, etc.) Hands-on with libraries: NumPy, Pandas, Scikit-learn, TensorFlow/Keras, OpenCV Tools: Jupyter, Git, Google Colab, VS Code Eligibility Criteria Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 2–4 years of relevant industry/training experience in AI/ML. Strong communication and presentation skills. Ability to mentor and engage learners of varying skill levels. Prior training or teaching experience (academic or corporate) preferred. Skills: ml,scikit-learn,tensorflow,jupyter,natural language processing,opencv,learning,teaching,python for data science,google colab,deep learning,model deployment,numpy,training,keras,linear algebra,statistics,pandas,git,vs code,contractual,artificial intelligence,machine learning Show more Show less

------------------- UNPAID INTERNSHIP ------------------- Are you passionate about industrial networking, automation systems, and software integration? Volcan Vision and Automation Pvt. Ltd. is looking for a Networking & Integration Intern to support the development of cutting-edge machine vision applications deployed across industrial environments. This internship offers a unique opportunity to work alongside a multidisciplinary team and contribute to real-world systems involving vision inspection , PLC communication , and secure software deployment . Department: Software Development Duration: 2-6 months Key Responsibilities: Implement and manage communication protocols such as Modbus TCP/IP , Ethernet/IP , and custom network interfaces. Integrate the application with PLCs , industrial cameras , and external devices for data exchange. Assist in developing and debugging the core desktop application used for machine vision inspection. Implement cybersecurity features such as token/key-based licensing , data encryption , and user authentication . Contribute to application packaging and deployment for industrial use cases. Support desktop application development by contributing to computer vision tool integration, user interface enhancements, and feature expansion. Required Skills: Currently in your 3rd/Final Year of your studies ( Graduating in 2026 or 2027 ) Strong understanding of networking fundamentals and industrial communication protocols . Proficiency in Python with experience in socket programming or networking libraries. Familiarity with desktop application frameworks such as PyQt or Tkinter . Knowledge of cybersecurity best practices for desktop software. Experience with Git and version control workflows. Preferred Qualifications: Exposure to PLCs or similar industrial hardware. Familiarity with machine vision tools like OpenCV. Understanding of licensing mechanisms , packaging tools, and deployment strategies. Experience working with REST APIs , Supabase , or secure data communication tools . What We Offer: Internship certificate and recommendation upon successful completion. Performance-based bonuses and learning stipends. Opportunity to work on live industrial automation projects. Exposure to AI , vision systems , cybersecurity , and automation standards . Potential full-time opportunity based on performance. Internship Duration 2-6 months Show more Show less

Location - Pune and Gurgaon (hybrid) Industry - Robotics Position - Sr Engineer What We Need We’re seeking a SLAM expert with several years of experience to join the Perception team at the team senior engineer level. As a SLAM Expert, you will play a technical development role in developing and implementing state-of-the-art SLAM algorithms and systems to advance our cutting-edge fulfillment technology. We are looking for people who thrive in a creative, collaborative, and agile development environment. Job Description Lead the design and development of SLAM-based navigation systems for robotic platforms. Utilize SLAM algorithms and techniques to enable accurate localization and mapping in various environments. Develop, optimize, and implement SLAM algorithms and systems for real-time applications. Conduct research and stay up to date with the latest advancements in SLAM and related fields. Design and execute experiments to evaluate the performance and robustness of SLAM algorithms and systems. Collaborate with cross-functional teams, including software engineers, computer vision experts, and robotics engineers, to integrate SLAM solutions into various projects. Provide technical guidance and support to team members working on SLAM-related projects. Identify and analyze challenges in SLAM implementation and propose innovative solutions. Contribute to the development of tools and frameworks to streamline the SLAM development process. Document and communicate research findings, algorithms, and technical specifications effectively. Skill Sets Required A Bachelors /master's or Ph.D. degree in Computer Science, Robotics or a related field. 1-6 years of demonstrated experience in SLAM research and development, with a strong publication record in relevant conferences and journals. Expertise in various SLAM techniques, such as visual SLAM, LiDAR SLAM, visual-inertial SLAM, graph-based SLAM, Kalman filtering, bundle adjustment, structure from motion, etc. Proficiency in programming languages commonly used in SLAM, such as C++ and Python. Solid understanding of computer vision, sensor fusion, probabilistic robotics, and optimization algorithms. Experience with popular SLAM libraries and frameworks, such as ROS, OpenCV, PCL, GTSAM, and g2o. Strong mathematical and analytical skills, with the ability to apply advanced mathematical concepts to solve SLAM challenges. Strong communication and teamwork skills to collaborate effectively with interdisciplinary teams. Prior experience working with autonomous systems and robotics. Benefits Competitive salary with performance-based bonuses. Comprehensive health and wellness benefits. Opportunities for professional development and continued education. Collaborative and innovative work environment. Show more Show less