48 Image Recognition Jobs

Job description Company Description Doozy Robotics designs flexible and intelligent autonomous mobile robots for the industry. The company offers Humanoid and Autonomous Robots that assist in both commercial and industrial applications. Doozy Robotics is at the forefront of innovation, developing advanced robotics solutions tailored to enhance efficiency and productivity. As a fast-growing leader in the robotics field, Doozy Robotics provides cutting-edge technologies and solutions to meet the evolving needs of various industries. Role Description Key Responsibilities Perception System Development: Design and implement perception algorithms for object detection, tracking, and scene understanding using data from cameras, LiDAR, radar, and other sensors. Sensor Fusion: Develop sensor fusion techniques to integrate data from multiple sources, enhancing the accuracy and reliability of environmental perception. Computer Vision: Apply computer vision methodologies for real-time image processing, feature extraction, and pattern recognition in dynamic environments. AI/ML Model Development: Build and train machine learning models for tasks such as semantic segmentation, depth estimation, and anomaly detection. Robotics Integration: Collaborate with robotics engineers to integrate perception systems into autonomous platforms, ensuring seamless operation in real-world scenarios. Collaboration: Work closely with cross-functional teams to develop AI-powered vision systems, contributing to the advancement of autonomous technologies. Qualifications Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field. Experience: 3+ years of hands-on experience in AI/ML development, computer vision, and sensor fusion. Technical Skills: Proficiency in programming languages such as Python, C++, and ROS. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with sensor technologies (e.g., LiDAR, radar, cameras) and their integration. Knowledge of SLAM, 3D reconstruction, and path planning algorithms. Soft Skills: Strong problem-solving abilities, effective communication, and a collaborative mindset.

Backend/Annotator International Process Salary-: - 25 K CTC / Experience - 20 K CTC/ Fresher Perks and Benifits-: -Both side Cabs -5 Day working -Salary Increament after every 6 Months -Incentive Required Candidate profile -Immediate Joiners -Knowledge of Data Annotation preffered -Graduate can only apply(no result awaied) -Confortable working Rotational shifts -Team Player -Confortable in Reloaction -BCA/MCA Preffered

Annotator International Process Salary-: - 25 K CTC / Experience - 20 K CTC/ Fresher Assessment:- Data Annotation assessment Operations Round Perks and Benifits-: -Both side Cabs -5 Day working -Salary Increament after every 6 Months -Incentive Required Candidate profile -Immediate Joiners -Good Knowledge of Data Annotation -Graduate can only apply(no result awaied) -Confortable working Rotational shifts -Team Player -Confortable in Reloaction -BCA/MCA Preffered

International Process Salary - 22-23,000 In-Hand / Experience - 17,000 Fresher Assessment :- Data Annotation assessment Operations Round Graduate only Both side Cabs 5 Day working / Rotational shift / 2 day Rotational week off

Salary - 22,000 / Experience 17,000 / Fresher Assessment :- Data Annotation assessment Operations Round Graduate only 5 Day working / Rotational shift / 2 day Rotational week off

International Process Salary - 22,000 In-Hand / Experience - 17,000 In-Hand/ Fresher Assessment :- Data Annotation assessment Operations Round Graduate only Both side Cabs 5 Day working / Rotational shift / 2 day Rotational week off

- Job profile : Data Annotator - 5 Days working and 2 week offs - Rotational shifts and offs - Both side cabs as per international process - Salary : Freshers - 21k ctc, Experienced - 25k ctc - Rounds : Ops, Assessment Required Candidate profile - Decent english speaking candidates required - Graduation is mandatory to apply

- Job profile : Data Annotator - 5 Days working and 2 week offs - Rotational shifts and offs - Both side cabs as per international process - Salary : Freshers - 21k ctc, Experienced - 25k ctc - Rounds : Ops, Assessment Required Candidate profile - Decent english speaking candidates required - Graduation is mandatory to apply

- Job profile : Data Annotator - 5 Days working and 2 week offs - Rotational shifts and offs - Both side cabs as per international process - Salary : Freshers - 21k ctc, Experienced - 25k ctc - Rounds : Ops, Assessment Required Candidate profile - Decent english speaking candidates required - Graduation is mandatory to apply

Dear Candidate, We are hiring a Data Science Engineer to build production-ready data science pipelines and models. Ideal for professionals who blend software engineering with applied ML skills. Key Responsibilities: Design and develop ML pipelines for training, evaluation, and deployment Engineer data preprocessing and feature extraction systems Integrate models into applications and monitor post-deployment performance Collaborate with data scientists, engineers, and product teams Required Skills & Qualifications: Proficiency in Python, pandas, scikit-learn, and MLflow Experience with Spark, Airflow, or cloud ML pipelines Strong grasp of statistics, data structures, and ML model optimization Bonus: Exposure to MLOps tools and model versioning frameworks Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Salary - 25,000 / Experienced 20,000 / Freshers Graduation mandatory 5 Day working / Rotation shift / 2 day Rotation week off Assessment :- Data Annotation assessment Operations Round

Salary - 25,000 / Experience 20,000 / Fresher Assessment :- Data Annotation assessment Operations Round Graduate only 5 Day working / Rotation shift / 2 day Rotation week off

Job description Position: Computer Vision Engineer Experience Level : 5-12 yrs Location : Madurai/Coimbatore Type : Full-time Vacancy :03 Note: Immediate Joiners preferred Job Overview : We are looking for an experienced Computer Vision Engineer with expertise in image processing, machine learning, and deep learning. The ideal candidate should have hands-on experience developing and deploying computer vision algorithms and deep learning models using Python, OpenCV, and YOLO, along with proficiency in CUDA and NumPy. This role involves research, model optimization, and real-world deployment of cutting-edge computer vision solutions. Key Responsibilities : Develop and deploy computer vision algorithms and deep learning models for diverse applications. Design and implement computer vision models using state-of-the-art techniques and frameworks. Explore and analyze unstructured data like images through image processing techniques Analyze, evaluate, and optimize existing computer vision systems for improved performance and accuracy. Test and validate computer vision code and models, ensuring robustness and reliability Research and implement new computer vision technologies to stay at the forefront of the field. Collaborate with cross-functional teams to develop innovative solutions meeting project requirements Monitor the performance and accuracy of deployed computer vision models, making necessary adjustments. Maintain and update computer vision systems to ensure their continued functionality and relevance. Provide technical support and guidance to team members and customers using computer vision systems. Requirements : Bachelor's degree in Computer Science or a related field and above. Proven experience in developing and deploying computer vision systems. Strong knowledge of computer vision algorithms, libraries, and tools such as: OpenCV, TensorFlow, PyTorch, Keras, NumPy, scikit-image, Matplotlib, Seaborn, YOLO, etc. Familiarity with GPU acceleration and optimization tools like CUDA, OpenCL, OpenGL. Expertise in computer vision applications, including : Object detection, image classification, text detection & OCR, face detection, generative models, video analytics, object tracking, and model compression/optimization. Experience with runtime AI frameworks such as ONNX, TensorRT, OpenVINO. Hands-on experience with cloud platforms (AWS, Azure), Docker, Kubernetes, and GitHub Experience in training models using GPU computing or cloud-based environments. Familiarity with machine learning and deep learning concepts and frameworks. Strong problem-solving and analytical skills. Ability to work independently in a fast-paced environment and collaborate effectively in a team. Preferred Qualifications : Experience in real-time video processing and streaming analytics. Knowledge of Edge AI and deployment on embedded systems. Exposure to 3D vision, SLAM, and depth estimation. Contributions to open-source computer vision projects. Interested candidates may email their resumes to mail to: info@sumanastech.com Or contact via Call or WhatsApp at 9952870443 8870444768 You can take a look at our Company Profile here: https://www.sumanastech.com/

- Job Profile : Data Annotation - Location : Gurugram Sector 18 - Rotational Shifts and Offs - Both side Cabs as per International Process - Virtual Interviews HR BAMBI[9870305937] Required Candidate profile Excellent English speaking candidates required - Both Freshers and Experienced candidates required - Assessment : Data Annotation Assessment Operations Round

Job Title: AI / ML Engineer Company: Mukesh Buildtech (Stealth Startup) Work Location: Salem, Tamil Nadu About Us: Mukesh Buildtech is an innovative stealth startup focused on a new marketplace. We are building a cutting-edge platform that leverages advanced technologies to provide unparalleled user experiences. Join our dynamic team and be a part of our exciting journey from the ground up. If you're interested, please send your updated CV to sumathi@mukeshassociates.com. Role Overview: We are seeking a talented and passionate AI/ML Engineer to join our founding team. In this role, you will be responsible for developing and deploying state-of-the-art computer vision models that will be integral to our marketplace platform. You will work closely with our engineering and product teams to create innovative solutions that enhance user interactions and streamline operations. Key Responsibilities: Develop and deploy advanced computer vision models to enhance platform capabilities. Developing and deploying ML models in production. Experience with generative models, video models, or multimodal models is a plus. Research, prototype, and implement new AI features using cutting-edge computer vision techniques. Optimize model performance for speed, accuracy, and scalability. Collaborate with cross-functional teams to translate customer requirements into AI features. Contribute to the technical vision and architecture of our AI systems. Stay up-to-date with the latest advancements in computer vision research and apply them to our products. Qualifications & Experience: Min 3 yrs experience in Image Recognition, Yolo11, OpenCV, Pytorch, Tensorflow, Python, Dataset At least one Product identification web project experience BE CS, IT, ECE, EEE, MCA Experience in Machine Learning (ML), with a particular emphasis on Computer Vision (CV) Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models Experience with TensorFlow, PyTorch or Keras Proficiency in Python is essential, especially with libraries such as NumPy, OpenCV, and scikit-image Experience with databases (SQL and NoSQL) for managing datasets. Understanding of APIs (REST, GraphQL) for connecting computer vision models with frontend or other backend services Knowledge of cloud services (AWS, Azure, Google Cloud) for deploying and managing models Experience with Docker and Kubernetes for containerization and deployment Understanding of software development best practices, version control (Git), and CI/CD pipelines. Why Join Us: Be a part of a pioneering team at the forefront of marketplace innovation. Work in a collaborative and dynamic environment with opportunities for growth. Contribute to a product that will have a significant impact on the industry.

Job Title: AI / ML Engineer Company: Mukesh Buildtech (Stealth Startup) Work Location: Salem, Tamil Nadu About Us: Mukesh Buildtech is an innovative stealth startup focused on a new marketplace. We are building a cutting-edge platform that leverages advanced technologies to provide unparalleled user experiences. Join our dynamic team and be a part of our exciting journey from the ground up. If you're interested, please send your updated CV to sumathi@mukeshassociates.com. Role Overview: We are seeking a highly skilled Computer Vision & Machine Learning Engineer with expertise in AI-driven image recognition, object detection, and model deployment . The ideal candidate will have experience working with Stable Diffusion, SDXL, ControlNet, and LoRA models for advanced image generation, along with a solid background in TensorFlow, PyTorch, and OpenCV . You will be responsible for fine-tuning models, integrating AI-driven image-processing workflows, and deploying them at scale. Key Responsibilities: Develop and fine-tune Stable Diffusion, SDXL, ControlNet, LoRA models for computer vision applications. Implement inpainting, outpainting, and style transfer techniques to enhance image processing capabilities. Dynamically load LoRA adapters to optimize AI-generated content workflows. Deploy and maintain Inference APIs that trigger backend processes and return image blobs efficiently. Utilize Real-ESRGAN, SwinIR, and other upscaling models to improve image resolution and output quality. Integrate safety checkers to filter out NSFW/violent content within AI-generated images. Optimize GPU scheduling to ensure efficient routing of requests to available GPU workers. Implement model caching strategies to reduce unnecessary reloads and improve inference speed. Work with SQL and NoSQL databases to handle large-scale datasets for training and inference. Collaborate with cross-functional teams to develop and integrate AI models into production environments. Deploy models using cloud services (AWS, Azure, Google Cloud) and containerization tools such as Docker and Kubernetes . Maintain and improve CI/CD pipelines , version control ( Git ), and best practices for model deployment. Adapt pre-trained LLMs for image and product identification applications . Required Skills & Qualifications: 2+ years of experience in Computer Vision, Image Recognition, and Machine Learning . Proficiency in Python , including libraries such as NumPy, OpenCV, and scikit-image . Strong expertise with TensorFlow, PyTorch, or Keras for deep learning model development. Experience working on product identification projects or similar AI-driven applications. Hands-on experience with fine-tuning deep learning models for optimized performance. Understanding of REST and GraphQL APIs for backend AI model integration. Knowledge of database management (SQL & NoSQL) for dataset processing. Familiarity with cloud platforms (AWS, Azure, Google Cloud) for model deployment. Expertise in Docker & Kubernetes for scalable AI systems. Strong grasp of Git, CI/CD pipelines , and software development best practices . Why Join Us: Be a part of a pioneering team at the forefront of marketplace innovation. Work in a collaborative and dynamic environment with opportunities for growth. Contribute to a product that will have a significant impact on the industry.

- Job Profile : Data Annotator - Location : Gurgaon Sector 18 - Rotational shifts and offs - Both side cab facility as per international process - Experience : Any experience - Salary : Upto 25k ctc for experienced & 20k ctc for freshers Required Candidate profile - Decent English speaking candidates required - Any graduate can apply - Both freshers and Experienced can apply

- Job Profile : Data Annotation - Location : Gurugram Sector 18 - Rotational Shifts and Offs - Both side Cabs as per International Process - Virtual Interviews HR KASHISH 8130202908 Required Candidate profile Excellent English speaking candidates required - Both Freshers and Experienced candidates required - Assessment : Data Annotation Assessment Operations Round

Dear Candidate, We are seeking a Data Scientist Manager to lead a team in building advanced analytics solutions and machine learning models to support business decisions and innovation. Key Responsibilities: Guide the development of predictive models, data mining, and statistical analysis. Manage data science projects from concept to production deployment. Collaborate with stakeholders to define data-driven objectives and KPIs. Mentor junior data scientists and promote best practices in ML and AI. Ensure data governance, quality, and model explainability standards. Required Skills & Qualifications: Strong background in machine learning, statistics, and data science methodologies. Proficient in Python, R, SQL, and ML libraries (scikit-learn, TensorFlow, PyTorch). Experience with cloud-based analytics platforms (e.g., SageMaker, Azure ML). Leadership and project management experience. Advanced degree in Data Science, Computer Science, or a related field. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

- Job Profile : Data Annotation - Location : Gurugram Sector 18 - Rotational Shifts and Offs - Both side Cabs as per International Process - Virtual Interviews HR SADHVI 8447910644 Required Candidate profile Excellent English speaking candidates required - Both Freshers and Experienced candidates required - Assessment : Data Annotation Assessment Operations Round

- Job Profile : Data Annotation - Location : Gurugram Sector 18 - Rotational Shifts and Offs - Both side Cabs as per International Process - Virtual Interviews HR AKRITI - 8800061856 Required Candidate profile Excellent English speaking candidates required - Both Freshers and Experienced candidates required - Assessment : Data Annotation Assessment Operations Round

- Job Profile : Data Annotation - Location : Gurugram Sector 18 - Rotational Shifts and Offs - Both side Cabs as per International Process - Virtual Interviews HR bambi [9870305937] Required Candidate profile Excellent English speaking candidates required - Both Freshers and Experienced candidates required - Assessment : Data Annotation Assessment Operations Round

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Job Summary: We are looking for a passionate and skilled AI/ML Engineer to join our team, focusing on cutting edge solutions in vector search, embeddings, and semantic similarity. In this role, you will design, develop, and optimize intelligent search systems that leverage state-of-the-art machine learning and deep learning techniques. You will collaborate with cross-functional teams to build scalable and efficient solutions that transform how we retrieve and process information. Key Responsibilities: Develop and Optimize Vector Search Systems: Implement advanced vector-based search algorithms using frameworks like FAISS, Milvus, Weaviate, or Pinecone to enable high-performance retrieval systems. Design Semantic Search Solutions: Apply semantic similarity techniques to enable precise and context-aware search experiences. Research and Experimentation: Stay updated on advancements in NLP, ANN (Approximate Nearest Neighbor) search, and embedding models; experiment with new tools and techniques to improve system performance. Collaboration and Documentation: Collaborate with data scientists, backend engineers, and product teams, and document methodologies and findings effectively. Required Skills Machine Learning Expertise: Hands-on experience with ML frameworks NLP Knowledge: Strong understanding of natural language processing, embeddings, and transformer-based models (e.g., BERT, RoBERTa, GPT). Vector Search Tools: Proficiency in tools like FAISS, Milvus, Pinecone, or other ANN libraries. Search Algorithms: In-depth knowledge of similarity search techniques, including cosine similarity, dot-product scoring, and clustering methods. Programming Skills: Strong coding abilities in Python (experience with libraries like NumPy, Pandas, Scikit-learn, Hugging Face Transformers, etc.). Cloud/DevOps Knowledge: Familiarity with cloud platforms (Azure) and containerization/orchestration tools like Docker and Kubernetes. Preferred Skills Experience with hybrid search techniques combining traditional search (e.g., Elasticsearch, Solr) and vector search. Knowledge of vector quantization techniques for optimized storage and retrieval. Background in information retrieval, knowledge graphs, or recommendation systems. Key Traits: Should have excellent communication skills. Should be self motivated and willing to work as part of a team. Should be able to collaborate and coordinate with offshore and onshore teams. Be a problem solver and be proactive to solve the challenges that come his/her way.