1258 Opencv Jobs - Page 2

As a Lead AI ML Developer at Reverence Technologies, you will be leading a team of machine learning and computer vision engineers to deliver high-quality AI/ML solutions for video analytics projects. In this full-time onsite role, located in Noida & Kochi, you will be responsible for collaborating with cross-functional teams to understand business requirements, develop project plans, and ensure the scalability and maintainability of AI/ML solutions. With over 10 years of experience, you will leverage your expertise in developing and deploying machine learning models to guide the team towards successful project outcomes. Your role will involve staying updated with the latest AI/ML research and technologies to evaluate their impact on business operations, in addition to managing team performance, providing mentorship, and fostering a positive team culture. To qualify for this position, you should have a minimum of 6 years of experience in developing and deploying machine learning models, along with at least 3 years of experience in leading machine learning teams. Strong programming skills in C++ and other relevant languages are essential, as well as familiarity with machine learning libraries such as OpenCV, OpenVino, TensorFlow, PyTorch, etc. Experience with cloud platforms like AWS, GCP, or Azure will be advantageous, along with excellent communication and interpersonal skills to collaborate effectively with cross-functional teams.,

Job Summary The Associate Data Scientist will be responsible for developing and implementing machine learning models using computer vision and PyTorch. This individual will work closely with a team of data scientists and engineers to support the development of innovative solutions in a fast-paced, collaborative environment. Key Responsibilities Develop and implement machine learning models using computer vision and PyTorch Collaborate with a team of data scientists and engineers to support the development of innovative solutions Conduct data analysis and feature engineering to support the development of machine learning models Use computer vision techniques to extract and analyze data from images and videos Support the deployment and maintenance of machine learning models in a production environment Contribute to the continuous improvement of machine learning processes and practices Key Skills Strong proficiency in Python programming. Hands-on experience with PyTorch, Pandas, NumPy, and OpenCV (cv2). Prior experience working on computer vision projects is required. Knowledge of cloud platforms and services is a plus (ref:hirist.tech)

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Backend Developer (Python/Django): - Strong working experience in Python-based Django, Flask framework. - Experience in developing microservices based design and architecture. - Strong programming knowledge in JavaScript, HTML5, Python, Restful API, gRPC API. - Programming experience & object-oriented concepts in Python. - Knowledge of Python libraries like Numpy, Pandas, Ppen3D, OpenCV, Matplotlib. - Knowledge of MySQL/Postgres/MSSQL database. - Knowledge of 3D geometry. - Knowledge of SSO/OpenID Connect/OAuth authentication protocols. - Working experience with version control systems like GitHub/BitBucket/GitLab. - Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. As a Backend Developer, you will work in the area of Software Engineering, encompassing the development, maintenance, and optimization of software solutions/applications. You will apply scientific methods to analyze and solve software engineering problems, develop and apply software engineering practice and knowledge, exercise original thought and judgement, supervise the technical and administrative work of other software engineers, and build skills and expertise in your discipline to meet standard expectations for the role. Collaboration and teamwork with other software engineers and stakeholders are essential aspects of the role. Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world. With a responsible and diverse team of 340,000 members across more than 50 countries, Capgemini leverages its over 55-year heritage to unlock technology's value for clients and address their business needs comprehensively. The Group's services and solutions span strategy, design, engineering, AI, cloud, and data, supported by deep industry expertise and a strong partner ecosystem. In 2023, the Group reported global revenues of 22.5 billion.,

As an AI / ML Engineer, you will be responsible for utilizing your expertise in the field of Artificial Intelligence and Machine Learning to develop innovative solutions. You should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or a related field. With a minimum of 6 years of experience in AI/ML, you are expected to demonstrate proficiency in Python and various ML libraries such as scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn. In this role, you will need a strong understanding of machine learning algorithms and deep learning architectures including CNNs, RNNs, and Transformers. Hands-on experience with TensorFlow, PyTorch, or Keras is essential. You should also have expertise in data preprocessing, feature selection, exploratory data analysis (EDA), and model interpretability. Additionally, familiarity with API development and deploying models using frameworks like Flask, FastAPI, or similar tools is required. Experience with MLOps tools such as MLflow, Kubeflow, DVC, and Airflow will be beneficial. Knowledge of cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML is preferred. Proficiency in version control using Git, CI/CD processes, and containerization with Docker is essential for this role. Bonus skills that would be advantageous include familiarity with NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers), Computer Vision experience using OpenCV or YOLO/Detectron, and knowledge of Reinforcement Learning or Generative AI (GANs, LLMs). Experience with vector databases such as Pinecone or Weaviate, as well as LangChain for AI agent building, is a plus. Familiarity with data labeling platforms and annotation workflows will also be beneficial. In addition to technical skills, you should possess soft skills such as an analytical mindset, strong problem-solving abilities, effective communication, and collaboration skills. The ability to work independently in a fast-paced, agile environment is crucial. A passion for AI/ML and a proactive approach to staying updated with the latest developments in the field are highly desirable for this role.,

Position: AI & Robotics Intern About The Company Novus Hi-Tech is a cutting-edge research and development firm working at the intersection of artificial intelligence, robotics, and advanced control systems. Our mission is to drive innovation in intelligent systems by combining deep theoretical knowledge with practical application across various industries. Location: Gurgaon Duration: 6 months Availability: Full-time (On-site) Stipend: Paid Internship Key Responsibilities Participate in the development and optimization of intelligent algorithms for perception and control. Engage in experimental validation, simulation studies, and performance evaluation using real or synthetic datasets. Contribute to the design and implementation of computer vision and image processing techniques such as object detection, segmentation, tracking, and feature extraction. Support ongoing research initiatives with technical documentation and results reporting. Collaborate closely with experienced engineers to deliver research-grade or deployable solutions. What We’re Looking For Final-year students or recent graduates from Electrical, Computer Science, Mechanical, or related engineering disciplines. Candidates with hands-on exposure to technologies like ROS/ROS2, OpenCV, Computer vision ,Image Processing, MATLAB/Simulink, or a deep learning framework is a must. Individuals with a strong theoretical foundation and practical exposure in relevant domains such as autonomous systems, robotics, or dynamic system modeling.

Career Area: Engineering Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Role Definition Caterpillar is seeking an experienced Vision / Image Processing Embedded Engineer who is passionate about delivering autonomous / remote control vehicle solutions to production. This person is responsible for developing and demonstrating automation technologies, which are often used in conjunction with information systems, remote control, semi-autonomous, and fully autonomous machine control systems. This is an ideal opportunity for someone with experience in developing Vision / image processing software using IP cameras and stereo cameras and implementing production quality software in C++. Responsibilities Develop a strategy to support multiple camera related applications in various command projects. Establish technical capabilities in vision areas and create models/algorithms which can scale & easier to maintain across programs. Documenting architecture specifications, software design description, verification plans, test cases, operating procedures, and safety procedures. Utilizing appropriate tools to debug, test and maintain software and hardware systems of robotic tools; assisting in the verification and validation process. Participating in design and development of application software and algorithms for robotic platforms. Degree Requirement Requires a degree in BE/ME/PhD in Computer Engineering, Robotics Engineering, Computer Science, Electrical Engineering, or a related field. Skill Descriptors Industry Knowledge: Knowledge of the organization's industry group, trends, directions, major issues, regulatory considerations, and trendsetters; ability to apply industry knowledge appropriately to diverse situations. Level Working Knowledge: Discusses industry-specific flagship products and services. Demonstrates current knowledge of the regulatory environment for industry segment. Describes the contribution of own function as it relates to the industry segment. Participates in major industry professional associations; subscribes to industry-specific publications. Currently works with a major industry segment and associated functions and features. Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply knowledge of problem solving appropriately to diverse situations. Level Working Knowledge: Identifies and documents specific problems and resolution alternatives. Examines a specific problem and understands the perspective of each involved stakeholder. Develops alternative techniques for assessing accuracy and relevance of information. Helps to analyze risks and benefits of alternative approaches and obtain decision on resolution. Uses fact-finding techniques and diagnostic tools to identify problems. Software Development Life Cycle: Knowledge of software development life cycle; ability to use a structured methodology for delivering and managing new or enhanced software products to the marketplace. Level Working Knowledge: Describes similarities and differences of life cycle for new product development vs. new release. Identifies common issues, problems, and considerations for each phase of the life cycle. Works with a formal life cycle methodology. Explains phases, activities, dependencies, deliverables, and key decision points. Interprets product development plans and functional documentation. Software Product Testing: Knowledge of software product testing; ability to design, plan, and execute testing strategies and tactics to ensure software product quality and adherence to stated requirements. Level Working Knowledge: Participates in test readiness reviews, functional, volume, and load testing. Describes key features and aspects of a specific testing discipline or methodology. Tests software components for compliance with functional requirements and design specifications. Explains procedures for documenting test activities and results (e.g. errors, non-conformance, etc.) Conducts functional and performance testing on aspects of assigned products. Application Development Tools: Knowledge of application and system development; ability to utilize a variety of specific tools and toolkits for developing applications. Level Working Knowledge: Follows standards and guidelines for using locally available toolkits. Documents the uses of a specific application development toolkit. Differentiates among tools used for diverse strategic development platforms. Works with most toolkit components, features and facilities. Discusses the capabilities, features and uses of all tools for a specific platform. Artificial Intelligence: Knowledge of the concepts, technologies and methodologies of artificial intelligence (AI); ability to develop, implement and/or apply artificial intelligence products and services in specific industry domain to achieve business goals. Level Basic Understanding: Explains the methodology and technologies of artificial intelligence. Describes the concepts, functions and features of artificial intelligence (AI). Locates relevant resources to obtain the latest information on artificial intelligence. Cites examples of successful implementation of AI technologies and systems. Programming: Knowledge of relevant programming languages and tools; ability to test, write, design, debug, troubleshoot and maintain source codes and computer programs. Level Working Knowledge: Prior experience with C++ 14/17 in Linux environment and computer vision frameworks/libraries (OpenCV) is desired. Strong programming skills in C++ with Linux and Qt. Developing Gstreamer pipelines to connect to and stream real-time video. Experience working with cameras (stereo, mono), Lidars, Radars Understanding video codecs such as H.264 and H.265 as well as audio codecs such as G711. Familiar with development tools: GIT Hub, DevOps, Linux Experience with UDP/TCP IP protocols Experience in developing embedded computational platforms including hardware accelerated platforms such as FPGAs, GPUs, and real-time CPU Technical Troubleshooting: Knowledge of technical troubleshooting approaches, tools and techniques; ability to anticipate, recognize, and resolve technical issues on hardware, software, application or operation. Level Working Knowledge: Discovers, analyzes, and resolves hardware, software or application problems. Works with vendor-specific diagnostic guides, tools and utilities. Handles calls related to product features, applications, and compatibility standards. Analyzes code, logs, and current systems as part of advanced troubleshooting. Records and reports specific technical problems, solving processes and tools that have been used. Posting Dates: July 30, 2025 - August 12, 2025 Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply Not ready to apply? Join our Talent Community.

2 Years of experience mandatory Machine Learning (ML): Supervised & unsupervised learning Regression, classification, clustering Model evaluation and tuning Deep Learning: Neural networks (CNNs, RNNs, LSTMs, Transformers) Frameworks: TensorFlow, PyTorch, Keras Data Science & Analytics: Data cleaning and pre-processing Feature engineering EDA (Exploratory Data Analysis) Programming: Proficient in Python (NumPy, pandas, scikit-learn, matplotlib, etc.) Optional: R, Julia, or C++ NLP & LLMs: Text preprocessing, embeddings (word2vec, BERT, etc.) Fine-tuning and using LLMs (e.g., GPT, BERT, T5) Computer Vision: Image classification, object detection OpenCV, YOLO, or similar libraries Math & Stats: Linear algebra, probability, calculus Statistical modeling Infrastructure & DevOps Cloud platforms: AWS, GCP, Azure MLOps: ML pipelines, model versioning (e.g., MLflow, DVC) Docker, Kubernetes for deployment Git and version control Understanding business problems and translating them into AI solutions Job Type: Full-time Pay: ₹50,499.45 - ₹75,027.94 per month Schedule: Day shift Experience: AL/ML: 2 years (Required) Work Location: In person

Location: Remote (India-based preferred) Type: Full-time | Founding Team | High Equity Company: Flickd (www.flickd.in) About the Role We’re building India’s most advanced virtual try-on engine — think Doji meets TryOnDiffusion, but optimized for real-world speed, fashion, and body diversity. As our ML Engineer (Computer Vision + Try-On) , you’ll own the end-to-end pipeline : from preprocessing user/product images to generating hyper-realistic try-on results with preserved pose, skin, texture, and identity. You’ll have full autonomy to build, experiment, and ship — working directly with React, Spring Boot, DevOps, and design folks already in place. This is not a junior researcher role. This is one person building the brain of the system - and setting the foundation for India's biggest visual shopping innovation. What You’ll Build Stage 1: User Image Preprocessing Human parsing (face, body, hair), pose detection, face/limb alignment Auto orientation, canvas resizing, brightness/contrast normalization Stage 2: Product Image Processing Background removal, garment segmentation (SAM/U^2-Net/YOLOv8) Handle occlusions, transparent clothes, long sleeves, etc. Stage 3: Try-On Engine Implement and iterate on CP-VTON / TryOnDiffusion / FlowNet Fine-tune on custom data for realism, garment drape, identity retention Inference Optimisation TorchScript / ONNX, batching, inference latency minimization Collaborate with DevOps for Lambda/EC2 + GPU deployment Postprocessing Alpha blending, edge smoothing, fake shadows, cloth-body warps You’re a Fit If You: Have 2–5 years in ML/CV with real shipped work (not just notebooks) Have worked on: human parsing, pose estimation, cloth warping, GANs Are hands-on with PyTorch , OpenCV, Segmentation Models, Flow or ViT Can replicate models from arXiv fast, and care about output quality Want to own a system seen by millions , not just improve metrics Stack You’ll Use PyTorch, ONNX, TorchScript, Hugging Face DensePose, OpenPose, Segment Anything, Diffusion Models Docker, Redis, AWS Lambda, S3 (infra is already set up) MLflow or DVC (can be implemented from scratch) For exceptional talent, we’re flexible on cash vs equity split. Why This Is a Rare Opportunity Build the core AI product that powers a breakout consumer app Work in a zero BS, full-speed team (React, SpringBoot, DevOps, Design all in place) Be the founding ML brain and shape all future hires Ship in weeks, not quarters — and see your output in front of users instantly Apply now, or DM Dheekshith (Founder) on LinkedIn with your GitHub or project links. Let’s build something India’s never seen before.

Bizoforce is actively hiring an experienced AI/ML Engineer to join our innovative team and work on cutting-edge solutions in Generative AI, LLMs, and multi-agent architectures. This is a fully remote role based in India, ideal for professionals passionate about AI innovation and real-world deployment. You’ll be contributing to advanced applications such as LLM-based tutoring systems, OCR-powered tools, AI content generators, and data-driven assistants in EdTech, enterprise, and healthcare domains. A clinical background is a plus but not required. Key Responsibilities: * Design, develop, and deploy scalable LLM-based systems, RAG pipelines, and Generative AI applications * Engineer structured prompts for reliable outputs using zero-shot, CoT, few-shot, and meta-prompting methods * Build and integrate multi-modal AI models (text, vision, OCR, etc.) using frameworks like Crew AI, LangGraph * Develop and manage backend systems using Python (FastAPI/Flask), with Redis, PostgreSQL, MongoDB * Collaborate with cross-functional teams for full ML lifecycle (data, model, API, deployment, optimization) * Use tools like Docker, GitHub Actions (CI/CD), and deploy on AWS, Azure, or GCP environments * Participate in code reviews, testing, and MLops workflows to ensure high-quality, scalable output Required Skills * 5+ years of experience in AI/ML engineering with strong backend development skills * Expert-level Python programming and experience with FastAPI or Flask * Hands-on experience with LLMs (GPT-4, LLaMA, Claude, Phi3), Generative AI, and Prompt Engineering * Familiarity with frameworks such as LangChain, LangGraph, Crew AI, Smol Agents * Strong understanding of RAG (Retrieval-Augmented Generation), multi-agent AI systems * Experience in Computer Vision (OpenCV, YOLOv8), OCR (DocTR, TrOCR, Mistral OCR) * Vector DBs: Milvus, FAISS, RedisVector; Databases: MongoDB, PostgreSQL * Cloud: AWS (S3, EC2, SageMaker), Azure, GCP; Tools: Docker, Git, GitHub Actions * Bonus: Experience in EdTech or clinical AI solutions (not mandatory)

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Design and develop deep learning models for computer vision tasks such as: Object detection (e.g., YOLO, Faster R-CNN) Image classification (e.g., ResNet, EfficientNet) Semantic/instance segmentation (e.g., U-Net, Mask R-CNN) Video frame analysis, tracking, or scene understanding Use OpenCV for image/video preprocessing and classical vision tasks: Filtering, contour detection, edge detection, motion tracking, image transformations Prepare and manage large-scale image/video datasets — frame extraction, annotation support, augmentation Evaluate models using appropriate metrics (IoU, mAP, F1, precision-recall curves) Fine-tune or build from scratch using frameworks like PyTorch or TensorFlow Collaborate with cross-functional teams to translate requirements into deployable models Write clean, modular, and well-documented Python code for training and experimentation Must-Have Skills 4–6 years of experience in applied deep learning roles with focus on computer vision Proficiency in Python with strong skills in data structures, vectorization, and modular coding Hands-on experience with OpenCV for traditional image/video processing tasks Strong understanding of CNN architectures and common vision model types Deep learning experience with PyTorch or TensorFlow Practical experience with vision datasets (e.g., COCO, Pascal VOC, custom video/image data) Familiarity with model training, loss functions, optimization techniques, and performance tuning Nice-to-Have Skills Experience with video analytics or multi-object tracking Familiarity with Albumentations, imgaug, or other augmentation libraries Exposure to transformer-based vision models (e.g., ViT, Swin) Basic understanding of explainability techniques for vision models (e.g., Grad-CAM) Experience working with edge devices, embedded systems, or real-time CV (optional) Mandatory Skill Sets Python, Open CV, Deep learning, GenAI ,machine learning, data science Preferred Skill Sets Data analysis, SQL, MLOPS Years of experience Required 5+ Education Qualification BE/B.Tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Structured Query Language (SQL) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Job Description - We are seeking a Machine Learning Engineer to assist in developing and implementing object detection and AI-based predictions. You will have the opportunity to work on real-world applications and contribute to the development of novel algorithms. As a ML engineer, you’ll collaborate with our team and works various applied AI/ML tasks. Key Responsibilities - Assist in training and fine-tuning ML models for real-time AI-based tasks. Work with large datasets to prepare, annotate, preprocess, and augment data for training purposes. Implement and test model architectures to improve accuracy, speed, and performance. Help analyze and optimize model performance based on results and metrics. Document research and findings, contributing to team knowledge and project reports. Participate in code reviews and contribute to software development best practices. Stay updated with the latest trends and research in computer vision and applied ML. Qualifications - Bachelor's or master's degree program in Computer Science, Electrical Engineering, or a related field. Solid understanding of AI/ML concepts, data cleaning, synthetic data generation and other relevant concepts. Hands-on experience with MLOps. Hands-on experience with YOLO or similar deep learning object detection frameworks (e.g., Faster R-CNN, SSD). Proficiency in programming languages such as Python Experience with OpenCV and Pytorch is a must. Experience with Statistical Analysis and modeling is a plus. Experience with CUDA and GPU acceleration is a plus. Experience with ROS and C++ is also a huge plus. Strong problem-solving skills, attention to detail, and a collaborative mindset. Preferred Skills - Knowledge of data cleaning techniques and data preprocessing methods. Familiarity with version control systems like Git . Experience in deploying models into production environments (optional). Exposure to ROS and OpenCV in C++.

About Us: At Anvayam Therapeutics , we are on a mission to revolutionize therapy for children and specially-abled individuals using technology, AI, and data science . We build tools that improve lives, empower caregivers, and personalize therapy at scale. Join us as an intern and gain hands-on experience building meaningful tech in healthcare Internship Responsibilities: Assist in developing Python-based backend services using FastAPI or Flask. Support integration of AI models and video processing workflows. Participate in building and testing REST APIs. Help document features, write basic unit tests, and debug small issues. Work with senior developers in a real-world agile team. Eligibility: Pursuing or recently completed a degree in Computer Science, IT, or related field. Solid foundation in Python programming and problem-solving. Familiarity with REST APIs and JSON format. Eagerness to learn and contribute to mission-driven software. What You’ll Learn During This Internship: Building RESTful APIs with FastAPI. Working with real-world datasets and data stores (MySQL, MongoDB). Basics of AI integration (Computer Vision, Emotion Analysis). Git, CI/CD, Agile workflows, and collaborative development. Preferred Skills (Not Mandatory): Basic knowledge of HTML, JS, or React JS. Familiarity with OpenCV, MediaPipe, or AI tools. Internship Benefits: Certificate of Completion & Letter of Recommendation. Real-world impact: your work will support therapy delivery for children. Flexible timing, remote-friendly structure. Opportunity for pre-placement offer (PPO) based on performance. To apply , send your resume and a short note about why you’d like to intern with Anvayam contact@splendenslab.com Whatsapp-9630183070 Job Type: Internship Contract length: 3-6 months Language: English (Required) Location: Salem, Tamil Nadu (Required) Work Location: In person Expected Start Date: 01/08/2025

This role is for one of the Weekday's clients. We are an innovative company at the forefront of AI-driven solutions, specializing in cutting-edge technologies to solve real-world problems. We are seeking a talented and passionate Computer Vision Engineer with expertise in both Computer Vision and Natural Language Processing (NLP) to join our dynamic team. Key Responsibilities: Develop and implement state-of-the-art computer vision algorithms for image and video processing tasks such as object detection, image segmentation, feature extraction, and recognition. Design, build, and deploy NLP models for tasks such as text recognition from images (OCR), sentiment analysis, and text classification. Collaborate with data scientists and machine learning engineers to integrate computer vision and NLP models into production systems. Work with large datasets to train and fine-tune models, ensuring high accuracy and performance. Conduct research to stay updated on the latest advancements in computer vision and NLP, and apply them to ongoing projects. Optimize model performance for real-time applications on various platforms (e.g., cloud, mobile, edge devices). Analyze and preprocess datasets including images, videos, and text for training and validation. Collaborate with cross-functional teams to ensure seamless integration of computer vision and NLP components within larger applications. Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience (3+ years) in developing computer vision solutions and NLP models. Strong proficiency in Python and relevant libraries such as OpenCV, TensorFlow, PyTorch, Keras, and scikit-learn. Hands-on experience with deep learning frameworks (e.g., CNNs, RNNs, Transformers) for both computer vision and NLP tasks. Expertise in Natural Language Processing tasks such as tokenization, text embedding, and sequence-to-sequence models. Familiarity with Optical Character Recognition (OCR) tools and techniques. Experience working with datasets for object detection, semantic segmentation, and text recognition from visual data. Proficiency in deploying and scaling machine learning models in production environments (AWS, GCP, Azure). Strong problem-solving skills and the ability to work independently and collaboratively in a team environment. Preferred Skills: Knowledge of Reinforcement Learning (RL) and how it can be applied to vision tasks. Familiarity with multimodal machine learning, integrating vision and language models. Experience in edge computing for deploying models in real-time environments. Strong understanding of cloud-based AI/ML pipelines.,

LooprIQ Inspect is an AI application designed to automate quality and production processes on the factory floor. With LooprIQ Inspect, customers can easily automate the detection of defects in products, verify assembly of parts, and perform various other tasks. We have developed a state-of-the-art micro-service architecture that utilizes the latest computer vision AI models in the backend to analyze real-time video data. The inference results are stored in a scalable middleware and presented through a user-friendly front-end interface optimized for operators using the app in a factory setting. The data from the app can be seamlessly integrated with the customer's ERP system for deriving valuable analytics. We are currently looking for an experienced and motivated ML Engineer to join our team in a technical lead capacity. In this role, you will be responsible for leading the development and training of computer vision models that power LooprIQ Inspect, effectively addressing complex issues faced by customers in the manufacturing and aerospace industries. Additionally, you will serve as a technical lead, providing guidance and support to other members of the ML team. As a part of our team, you will have the opportunity to: - Design, train, debug, fine-tune, and deploy deep learning models for object detection, image segmentation, and image classification tasks. - Champion dataset management and exploration using cutting-edge data platforms like Encord. - Provide technical guidance and take ownership of deliverables within a close-knit team of ML scientists. - Collaborate with cross-functional teams to understand project requirements and offer technical expertise in computer vision. - Orchestrate complex computer vision pipelines and workflows using our internal Azure & ML Flow services, ensuring reproducibility and scalability of experiments and models. - Integrate computer vision models into production applications using Python libraries and other relevant technologies. - Optimize computer vision models for performance, efficiency, and accuracy across different hardware platforms. - Stay informed about the latest advancements in computer vision and machine learning research to enhance the company's capabilities. Minimum Requirements: - Bachelor's, Master's, or PhD in Computer Science, Informatics, Physics, or related fields. - 7+ years of proven experience in computer vision, deep learning, and image processing, with a strong project portfolio. Experience in manufacturing industries is a plus. - 2+ years of proven technical leadership experience. - Proficiency in Python, familiarity with computer vision libraries (e.g., OpenCV, TensorFlow, PyTorch), and Linux/bash proficiency. - Experience in building, deploying, and maintaining production ML systems. - Familiarity with cloud platforms, especially Azure, for deploying and scaling computer vision models. - Knowledge of containerization technologies (e.g., Docker, Kubernetes) for deploying computer vision models. - Strong problem-solving skills, independence, innovation, and effective communication skills. Joining Loopr AI presents an exciting opportunity to work alongside a dynamic team at the forefront of computer vision technology. You will be involved in cutting-edge projects, collaborate with industry experts, and contribute significantly to solving real-world challenges using computer vision techniques.,

You will be responsible for leading the development and implementation of ML models and algorithms for Computer Vision. This includes optimizing deep learning models for tasks such as object detection and image segmentation. Your role will involve preprocessing data and creating efficient data pipelines for high-quality datasets. Additionally, you will integrate and enhance computer vision techniques and architectures to improve model performance. Collaboration with cross-functional teams will be key to integrating solutions into applications. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science or a related field. You should possess at least 2 years of experience in Machine Learning with a focus on Computer Vision. Proficiency in Python, TensorFlow, PyTorch, and OpenCV is required. A strong understanding of computer vision algorithms and deep learning is essential. Any experience with image processing and cloud platforms would be considered a plus. This is a full-time position based in Indore, MP. As part of the benefits, you will receive internet reimbursement. The work schedule is during the day shift. As part of the application process, you will be asked the following questions: 1. What is your current CTC 2. What is your expected CTC 3. Are you comfortable relocating to Indore, MP 4. How many years of experience do you have using computer vision technology ,

As a Lead Data Scientist at DeepQuanty Artificial Intelligence Labs, you will be a key member of a dynamic team in the cutting-edge space of Artificial Intelligence and Machine Learning. With 3-8 years of experience as a lead in the Computer Vision area, your expertise will be pivotal in driving innovation and solving complex problems using Deep Learning techniques. Your role will involve collaborating closely with the Product Manager to translate product requirements into actionable plans. You will play a crucial part in product blueprint discussions and create detailed Product Technical specifications. Additionally, you will lead a team of Deep Learning Engineers, guiding them towards effective research and development outcomes. The ideal candidate for this position will have a proven track record in leveraging Deep Learning techniques to tackle challenges in Images and Text domains. You should possess the ability to identify and evaluate the most suitable algorithms for specific problems, as well as translate mathematical concepts into practical technical specifications. Proficiency in TensorFlow, PyTorch, and optimization of Deep Learning models for production deployment is essential. A solid understanding of GPUs/TPUs, along with hands-on coding expertise in Python and C++, is required. While a B.Tech / M.Tech from a reputed university is mandatory, it would be advantageous to have experience in solving Optical Character Recognition problems and familiarity with Computer Vision packages like OpenCV. This position offers a unique opportunity to work in a startup environment, where your expertise in computer vision, machine learning, robotics, and control systems will be put to the test in solving challenging product development tasks. Your role will be highly visible within our rapidly growing company, with opportunities for assuming greater responsibilities as you excel in your performance. If you are a detail-oriented individual with a passion for innovation, we invite you to join our team at DeepQuanty AI Labs.,

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters We are seeking a highly experienced Computer Vision Architect with deep expertise in Python to design and lead the development of cutting-edge vision-based systems. The ideal candidate will architect scalable solutions that leverage advanced image and video processing, deep learning, and real-time inference. You will collaborate with cross-functional teams to deliver high-performance, production-grade computer vision platforms. Key Responsibilities: Architect and design end-to-end computer vision solutions for real-world applications (e.g., object detection, tracking, OCR, facial recognition, scene understanding, etc.) Lead R&D initiatives and prototype development using modern CV frameworks(OpenCV, PyTorch, TensorFlow, etc.) Optimize computer vision models for performance, scalability, and deployment on cloud, edge, or embedded systems Define architecture standards and best practices for Python-based CV pipelines Collaborate with product teams, data scientists, and ML engineers to translate business requirements into technical solutions Stay updated with the latest advancements in computer vision, deep learning, and AI Mentor junior developers and contribute to code reviews, design discussions, and technical documentation Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field (PhD is a plus) 8+ years of software development experience, with 5+ years in computer vision and deep learning Proficient in Python and libraries such as OpenCV, NumPy, scikit-image, Pillow Experience with deep learning frameworks like PyTorch, TensorFlow, or Keras Strong understanding of CNNs, object detection (YOLO, SSD, Faster R-CNN), semantic segmentation, and image classification Knowledge of MLOps, model deployment strategies (e.g., ONNX, TensorRT), and containerization (Docker/Kubernetes) Experience working with video analytics, image annotation tools, and large-scale dataset pipelines Familiarity with edge deployment (Jetson, Raspberry Pi, etc.) or cloud AI services(AWS SageMaker, Azure ML, GCP AI) Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

Job Description: We are looking for Senior AI/ML Engineer with expertise in computer vision to develop a privacy- compliant facial recognition module for our drive-through ordering software. You will build models to generate temporary facial vectors for customer identification, ensuring seamless personalization. Responsibilities: Develop facial recognition models using frameworks like FaceNet or ArcFace. Generate temporary facial vectors for session-based customer identification. Ensure compliance with privacy standards by avoiding permanent biometric storage. Optimize models for robustness in varied lighting conditions. Integrate with CRM modules to retrieve customer profiles based on recognition results. Collaborate with backend engineers to process camera feeds via cloud APIs. Qualifications: Master s or PhD in Computer Science, AI, or related field (or equivalent experience). 3+ years of experience in computer vision or facial recognition. Proficiency in Python, OpenCV, and ML frameworks (TensorFlow, PyTorch). Experience with facial embedding techniques and similarity matching. Strong understanding of privacy-compliant biometric processing. Ability to work with cross-functional teams on software integration. Preferred Skills: Experience with cloud-based computer vision APIs (e.g., AWS Rekognition). Skills and Knowledge: AI/ML, Python, Computer Vision, Facial recognition models, Python, OpenCV, and ML frameworks (TensorFlow, PyTorch), Experience with cloud-based computer vision APIs. Apply We Are Looking For Ambitious, Experienced Developers! Glassdoor Have a referral? X

About Biz-Tech Analytics At Biz-Tech Analytics, we build production-grade computer vision and AI-driven automation solutions. From visual quality control systems to workforce productivity intelligence, we focus on turning complex data into actionable insights through scalable AI infrastructure. We are looking for a Senior Machine Learning Engineer who can take ownership of designing, developing, and deploying Computer Vision solutions in production environments. Responsibilities As a Senior ML Engineer, you will lead the design, development, and deployment of advanced computer vision systems that power AI automation across diverse operational workflows. You will take ownership of the entire solution lifecycle, from problem scoping, model development, to deployment and performance monitoring, with a team of ML engineers. Lead design and deployment of computer vision models for applications like object detection, tracking, human activity analysis, and visual quality control Build and optimise image and video data pipelines, ensuring robust data flow from sensors, cameras, and other sources. Architect real-time vision systems, focusing on latency, accuracy, and scalability for edge and cloud environments. Mentor and guide junior ML engineers, fostering a culture of high technical standards and collaborative problem-solving. Stay updated with cutting-edge computer vision research, evaluating and integrating new models (e.g., ViTs, SAM, Grounding DINO) into existing workflows. Work directly with clients and internal stakeholders on AI solutioning, PoCs, and consulting projects. Qualifications At least 5+ years of experience in Machine Learning in Computer Vision projects deployed in production, and optimising models for runtime. Proficiency in Python and proven expertise in computer vision applications like object detection, facial recognition, defect detection and tracking using libraries like PyTorch, TensorFlow, OpenCV, etc. Solid understanding of MLOps workflows, data pipelines, and scalable deployment strategies. Previous experience in leading ML teams, mentoring engineers, and managing project deliverables. Comfortable working in an agile, startup-like environment where problem-solving and ownership are key. Excellent communication skills to translate complex technical concepts into actionable project plans. Good to Have Experience with vision-based automation in the manufacturing industry Exposure to Generative AI workflows. Experience with Large Language Models (LLMs) and building multi-modal AI pipelines. Understanding of AI governance, data compliance, and security protocols. Why Biz-Tech Analytics Work on challenging AI problems that demand innovation, not routine solutions. Lead end-to-end AI projects with full ownership. Collaborate with a small, high-performing team where your contributions are visible and impactful. Flexible, entrepreneurial work culture with opportunities for leadership and growth.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and innovative AI/ML Engineer to join our team. This role focuses on designing, developing, and deploying cutting-edge solutions using Generative AI (GenAI), Large Language Models (LLMs), Machine Learning Models and Azure OpenAI Services. Primary Responsibilities: Design and implement AI/ML models with a focus on GenAI, LLMs, ML models, RAG architectures Develop and fine-tune Bots (Chat/Voice) Integrate AI solutions into enterprise applications using Azure AI and App Services Collaborate with cross-functional teams to define use cases and deliver AI-powered features Develop and maintain Solid relationships with stakeholders, customers, and partners internally and externally Ensure responsible AI practices, including bias mitigation, explainability, and compliance Monitor model performance and retrain as needed to maintain accuracy and relevance Stay up to date with the latest AI and machine learning technologies and trends Conduct evaluations and assessments of new tools and technologies to ensure that the team stays at the frontier of Artificial Intelligence & Machine Contribute to internal AI/ML knowledge sharing and mentoring initiatives Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree in computer science/IT/Math/Statistics/Engineering, or equivalent work experience 7+ years of overall experience with 5+ years of experience in AI/ML Healthcare Industry experience Experience leading and implementing AI/ML projects with demonstrable value to the organization, from ideation to delivery and evaluation Hands-on experience with GenAI tools, LLMs (eg, GPT, LLaMA), and RAG pipelines Knowledge of ethical AI principles and responsible AI deployment strategies Solid programming skills in Python and experience with ML frameworks (eg, PyTorch, TensorFlow) Proficiency in Azure OpenAI Services, Azure Machine Learning Familiarity with prompt engineering, semantic search, and vector databases Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven good conflict management and prioritization skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone – of every race, gender, sexuality, age, location and income – deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission. #NIC External Candidate Application Internal Employee Application

Seeking a highly skilled and analytical Data Scientist / Machine Learning Engineer to join our team. The ideal candidate will have a strong foundation in data science , machine learning , and statistical analysis , with hands-on experience in building scalable models and working with large datasets in cloud-based environments. Key Responsibilities: Design, develop, and deploy machine learning models for real-world applications using Python , scikit-learn , TensorFlow , or PyTorch . Perform data cleaning , wrangling , transformation , and exploratory data analysis (EDA) using pandas and other Python libraries. Apply statistical techniques such as hypothesis testing , regression analysis , ANOVA , and probability theory to derive insights. Implement supervised and unsupervised learning algorithms , conduct feature engineering , model evaluation , and hyperparameter tuning . Develop data visualizations using Matplotlib , Seaborn , or ggplot to communicate findings effectively. Work with big data technologies such as Apache Hadoop , Apache Spark , or distributed databases for large-scale data processing. Write optimized SQL queries and manage relational databases for data extraction and transformation. Contribute to data engineering pipelines , including data integration , warehousing , and architecture design . Utilize cloud platforms like Microsoft Azure , including Azure Machine Learning , for scalable model deployment. Collaborate using version control systems like Git for code management and team coordination. (Optional/Desirable) Experience with YOLO or other deep learning models for object detection. Qualifications: Bachelors or Masters degree in Computer Science , Data Science , Statistics , Engineering , or a related field. 48 years of experience in data science , machine learning , or AI development . Strong programming skills in Python and experience with data science libraries . Solid understanding of statistical methods , machine learning algorithms , and data modeling . Experience with cloud computing , big data tools , and database management . Preferred Skills: Experience with YOLO , OpenCV , or computer vision frameworks. Familiarity with CI/CD pipelines for ML model deployment. Knowledge of MLOps practices and tools. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

Your Role Develop and implement Generative AI / AI solutions on Google Cloud Platform Work with cross-functional teams to design and deliver AI-powered products and services Work on developing, versioning and executing Python code Deploy models as endpoints in Dev Environment Solid understanding of python Deep learning frameworks such as TensorFlow, PyTorch, or JAX Natural language processing (NLP) and machine learning (ML) Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI etc Generative AI support in Vertex, specifically handson experience with Generative AI models like Gemini, vertex Search etc Your Profile Experience in Generative AI development with Google Cloud Platform Experience in delivering an AI solution on VertexAI platform Experience in developing and deploying AI Solutions with ML What youll love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learnon one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications About Capgemini Location - Hyderabad,Pune,Bengaluru,Chennai,Mumbai

Your Role Design and develop Agentic AI architectures that can autonomously plan, reason, and execute tasks. Implement multi-agent communication protocols for agent-to-agent collaboration and coordination. Work with Large Language Models (LLMs) such as LLaMA, GPT, etc., for language understanding, generation, and task planning. Develop and integrate Retrieval-Augmented Generation (RAG) pipelines to enhance the reasoning capability of agents with external knowledge. Perform fine-tuning of foundational models for specific domains, tasks, or use cases. Design and experiment with lightweight models (e.g., Phi, Tiny LLMs) for efficiency in real-time or on-device scenarios. Collaborate cross-functionally with Data Scientists, ML Engineers, and Product Teams to deliver end-to-end AI solutions. Your Profile Proven experience in developing and deploying Agentic AI systems. Strong experience with LLMs, particularly Metas LLaMA family or similar open-source models. Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and related tools like LangChain, Haystack, etc. Knowledge and experience with model fine-tuning using frameworks like HuggingFace Transformers, PEFT, or LoRA. Experience in implementing agent-to-agent communication frameworks and multi-agent task handling systems. Proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Transformers, etc. Familiarity with prompt engineering and chaining logic for LLMs. What youll love about working here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learn on one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications.Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work . About Capgemini Location - Pune,Bengaluru,Chennai,Hyderabad

About Flam : We are a fast-growing startup on a mission to revolutionize the MR (Mixed Reality) space through innovative AI. Our projects range from immersive mixed-reality applications to advanced generative AI solutions (e.g., GANs, diffusion models, transformers, large language models, and more). We value creativity, problem-solving, and out-of-the-box thinking above all else—your formal qualifications matter less to us than your ability to push the boundaries of AI technology. Why MR? Mixed Reality (MR): Merges the best of both Augmented Reality and Virtual Reality, integrating physical and virtual environments for real-time interaction. We leverage these technologies to create next-generation user experiences that transform how people interact with digital content. Our AI-driven approach ensures these immersive environments are intelligent, adaptive, and personalized. Role Overview : We are rapidly expanding our AI team and are hiring across multiple experience levels—from fresh graduates and self-taught enthusiasts to seasoned AI experts. As an AI Engineer/Researcher/Scientist, you will work on cutting-edge AI projects that blend creative design principles with emerging technologies like GANs, diffusion models, transformers, large language models, and MR applications. You’ll be given the freedom to experiment, innovate, and propose unconventional solutions. We’re looking for fast learners who can dig into research papers and GitHub repositories to test and refine multiple solutions rapidly—ultimately selecting and implementing the best one. If you thrive on minimal instruction, adapt quickly, and love solving complex problems, this role is for you. Key Responsibilities : Investigate, prototype, and implement state-of-the-art AI methods across a wide range of applications—generative models (GANs, diffusion models), transformers, large language models, reinforcement learning, and more. Explore and adapt novel approaches to AI-driven interactions and experiences in mixed reality environments. Build, train, and optimize deep learning models for various tasks, including computer vision, natural language processing, 3D content generation, and more. Quickly learn and implement cutting-edge techniques from research papers, GitHub repositories, and community-driven projects. Work closely with designers, product managers, and AR/VR/MR developers to integrate AI solutions seamlessly into mixed-reality applications. Participate in brainstorming sessions that bridge AI, design principles, and user experience. Stay updated on the latest AI research and emerging technologies, especially in generative AI, transformers, and spatial computing. Propose and lead experimental projects that push the boundaries of what is possible with AI in extended reality experiences. Identify project challenges independently and develop creative, robust solutions with minimal supervision. Continually evaluate technical trade-offs and refine solutions to meet product and design requirements. Qualifications : Passion for AI and a drive to explore cutting-edge research. Ability to rapidly learn new tools, frameworks, and concepts, often self-taught or independently researched. Creative and unconventional approaches to complex challenges. Proficiency in at least one programming language commonly used in AI (e.g., Python) and familiarity with AI frameworks (e.g., TensorFlow, PyTorch). Exposure to a variety of AI techniques, including but not limited to generative models, large language models, computer vision, reinforcement learning, or other specialized domains. Understanding of Design Principles: How they can be applied to AI solutions, ensuring that user experience remains front and center. Experience with AR/VR/MR (Unity, Unreal Engine, OpenCV, etc.) is a bonus, but not mandatory. Self-motivated with excellent communication skills and a collaborative mindset.

Skill Required • Python, PyTorch, TensorFlow, OpenCV • Multimodal models: CLIP, BLIP-2, LLaVA, GPT-4V, Stable Diffusion • Hugging Face Transformers, vision transformers (ViTs) • Cloud platforms (AWS/GCP/Azure) • Transfer learning and model fine-tuning