149 Object Detection Jobs - Page 2

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.

We aspire to be world-leader in innovative telecom and security solutions by offering cutting-edge, high-performance telecom and security solutions to business customers. Our Mission is simple. To prove that Indian engineers can design, develop, and manufacture world-class technology products for customers across the world, right from India. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! Why work at Matrix Matrix fully integrates software and hardware across its products. Engineers here collaborate more effectively to create solutions that solve real problems and make an impact. We are responsible for every nut, bolt, and line of code in our products! As an engineer, your involvement will be critical in the entire lifecycle of a product - right from ideation-development-production-deployment. Get to feel the sense of accomplishment that comes with creating something that solves a real and pressing problem and is used by scores of customers. Role Computer Vision Engineer/Sr. Engineer- (IVA/AI) Function Software Development - IVA / Computer Vision Work Location Vadodara, Gujarat Who are you You are a dynamic and solution driven Software Engineer specializing in Intelligent Video Analytics, with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. Experience 2+ Years Qualification B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE)or related field Technical Skills Required : Good experience of Deep Learning/Computer Vision projects. Working exposure with Neural networks, CNN i.e. Convolutional Neural Network (Design, Training, Inference). Experience building and optimizing libraries for fast computer vision Experience curating data, creating and optimizing models, and running experiments Expert knowledge of the principles, algorithms, and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc. Experience with one or more deep learning frameworks such as Tensorflow, PyTorch or Keras Experience porting and optimizing models and algorithms for different hardware platforms Superhuman thirst for learning including scouting for ideas and keeping up-to-date with advancements in the field Good to have skills : Good to have programming skills using Python and C++ Any exposure to projects like Object Detection/Motion Detection/Face Recognition is good to have. Experience working with multiple video streams for simultaneous integration into machine learning algorithms Experience optimizing deep learning models for embedded form factors. How your day might look like The Engineer- Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. This team partners with our hardware, software, and platforms teams to help bring our products and solutions to life. An ideal candidate for this role will lead in the creation of systems, algorithms, and optimizations for all things computer vision This includes leading and mentoring a team of engineers who help with different aspects of the task. Collaborate with the team to understand project requirements and objectives. Design and implement algorithms using C/C++, OpenCV, and TensorFlow. Integrate video analytics solutions with existing systems or platforms. Participate in design reviews and brainstorming sessions with cross-functional teams. Execute AI algorithms using various platform specific frameworks like TensorRT, TensorFlow Lite etc. Formulate program specifications and basic prototypes. Efficiently Develop PoC on Algorithms Performance Centric implementation practices. Implement low cost algorithm modules as per need. Troubleshoot issues and provide technical support during integration and deployment phases. Research new technologies and methodologies to enhance video analytics capabilities. Document your work, including writing code documentation or preparing technical reports. What we offer Opportunity to work for an Indian Tech Company creating incredible products for the world, right from India Be part of a challenging, encouraging, and rewarding environment to do the best work of your life Competitive salary and other benefits Generous leave schedule of 21 days in addition to 9 public holidays, including holiday adjustments to convert weekends into long weekends 5-day workweek with 8 flexi-days months, allowing you to take care of responsibilities at home and work Company-paid Medical Insurance for the whole family (Employee+Spouse+Kids+Parents). Company paid Accident Insurance for the Employee On-premise meals, subsidized by the company If you are an Innovative Tech-savvy individual, Look no further. Click on Apply and we will reach out to you soon!

Hiring for Data AnnotationVacancies - 50 openings Position - Analyst I Roles and Responsibilities: We are looking for skilled professionals with a background in Data Annotation , especially those experienced with LiDAR and ADAS technologies. This role involves close collaboration with cross-functional teams to deliver high-quality annotation for 2D and 3D datasets. Required Skills: 2 to 3 years of hands-on experience in data annotation Strong understanding of 2D & 3D annotation techniques Preferred experience with LiDAR data and ADAS systems Excellent analytical thinking and problem-solving skills Ability to collaborate effectively with cross-functional teams Eligibility Qualification: Open to any graduates Shift: Rotational shifts (flexibility required) Mode of Work: On-site (Coimbatore) Joining: Immediate joiners preferred *Date:17th June to 30th June 2025 (Monday to Friday)*Time: 10.00 A.M. to 2.30 P.M. Interested candidates directly come to the below mentioned address. Apexon India Private Limited2nd Floor, Perur Tex P Ltd Building, 122, Appusamy Layout Rd, Red Fields, Race Course, Coimbatore, Tamil Nadu 641045

- 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

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Your role will involve applying GenAI models as part of the solution, and may also include deep learning, neural networks, chatbots, and image processing. Join our team and contribute to cutting-edge AI technology. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with the team to understand application requirements. - Design and develop applications based on business process requirements. - Configure applications to ensure optimal performance and functionality. - Test and debug code to identify and resolve any issues. - Collaborate with cross-functional teams to integrate applications with other systems. - Provide technical support and troubleshooting for applications. - Stay updated with the latest industry trends and technologies. - Assist in documenting application design, development, and maintenance processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of statistical analysis and machine learning algorithms. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleansing, transformation, and normalization to ensure data quality and integrity - Creation and validation of test data,and predictive modelling like ANN, Gradient Boosting, and K-NN - Knowledge of Predictive analytics and algorithims Additional Information: - A 15 years full-time education is required.

- 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

Dear Candidate, We are seeking an AI Software Developer to design and implement intelligent applications using machine learning, deep learning, and natural language processing. Key Responsibilities: Build, train, and deploy AI/ML models for real-world applications. Collaborate with data scientists to convert models into production-ready APIs. Optimize models for performance, scalability, and latency. Integrate AI capabilities into enterprise systems or consumer products. Monitor model performance and update based on new data. Required Skills & Qualifications: Proficiency in Python and frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with AI/ML deployment (e.g., Docker, FastAPI, AWS SageMaker). Knowledge of computer vision, NLP, or recommendation systems. Familiarity with MLOps practices and version control for models. Strong problem-solving and data structure knowledge. 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. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

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

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

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

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

AI/ML Architect Experience 10+ years in total, 8+ years in AI/ML development 3+ years in AI/ML architecture Education Bachelors/Masters in CS, AI/ML, Engineering, or similar Title: AI/ML Architect Location: Onsite Bangalore Experience: 10+ years Position Summary: We are seeking an experienced AI/ML Architect to lead the design and deployment of scalable AI solutions. This role requires a strong blend of technical depth, systems thinking, and leadership in machine learning , computer vision , and real-time analytics . You will drive the architecture for edge, on-prem, and cloud-based AI systems, integrating 3rd party data sources, sensor and vision data to enable predictive, prescriptive, and autonomous operations across industrial environments. Key Responsibilities: Architecture & Strategy Define the end-to-end architecture for AI/ML systems including time series forecasting , computer vision , and real-time classification . Design scalable ML pipelines (training, validation, deployment, retraining) using MLOps best practices. Architect hybrid deployment models supporting both cloud and edge inference for low-latency processing. Model Integration Guide the integration of ML models into the IIoT platform for real-time insights, alerting, and decision support. Support model fusion strategies combining disparate data sources, sensor streams with visual data (e.g., object detection + telemetry + 3rd party data ingestion). MLOps & Engineering Define and implement ML lifecycle tooling, including version control, CI/CD, experiment tracking, and drift detection. Ensure compliance, security, and auditability of deployed ML models. Collaboration & Leadership Collaborate with Data Scientists, ML Engineers, DevOps, Platform, and Product teams to align AI efforts with business goals. Mentor engineering and data teams in AI system design, optimization, and deployment strategies. Stay ahead of AI research and industrial best practices; evaluate and recommend emerging technologies (e.g., LLMs, vision transformers, foundation models). Must-Have Qualifications: Bachelors or Master’s degree in Computer Science, AI/ML, Engineering, or a related technical field. 8+ years of experience in AI/ML development, with 3+ years in architecting AI solutions at scale. Deep understanding of ML frameworks (TensorFlow, PyTorch), time series modeling, and computer vision. Proven experience with object detection, facial recognition, intrusion detection , and anomaly detection in video or sensor environments. Experience in MLOps (MLflow, TFX, Kubeflow, SageMaker, etc.) and model deployment on Kubernetes/Docker . Proficiency in edge AI (Jetson, Coral TPU, OpenVINO) and cloud platforms (AWS, Azure, GCP). Nice-to-Have Skills: Knowledge of stream processing (Kafka, Spark Streaming, Flink). Familiarity with OT systems and IIoT protocols (MQTT, OPC-UA). Understanding of regulatory and safety compliance in AI/vision for industrial settings. Experience with charts, dashboards, and integrating AI with front-end systems (e.g., alerts, maps, command center UIs). Role Impact: As AI/ML Architect, you will shape the intelligence layer of our IIoT platform — enabling smarter, safer, and more efficient industrial operations through AI. You will bridge research and real-world impact , ensuring our AI stack is scalable, explainable, and production-grade from day one.

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.

We are hiring for data annotation (E-commerce)(Back office) Profile. 6 Months experience required Graduation mandatory Salary between: 20k ctc to 25k ctc Working days: 5 Shift timings: Rotational Call or whatsApp HR Riya: 9220492616 Perks and benefits Both side cabs

We are hiring for data annotation (E-commerce)(Back office) Profile. 6 Months experience required Graduation mandatory Salary between: 20k ctc to 25k ctc Working days: 5 Shift timings: Rotational Call or whatsApp HR Nainy: 9354475254 Perks and benefits Both side cabs

4+yrs Data science,ML frameworks,MLOps, Python, Data engineering,Cloud platforms,Edge computing,Data manipulation libraries,Model development,Object,Experiment, design,Ab testing. Reach me at mailcv108@gmail.com or WhatsApp me at +91 9611702105

CTC 25,000 / experience (21k in hand) 20,000 / fresher(16k in hand) Incentive - Null Assessment :- Data Annotation assessment Operations Round Graduate only 5 Day working / Rotation shift / 2 day Rotation week off Required Candidate profile HR Sadhvi share me your resume on this number 8447910644

CTC 25,000 / experience (21k in hand) 20,000 / fresher(16k in hand) Incentive - Null Assessment :- Data Annotation assessment Operations Round Graduate only 5 Day working / Rotation shift / 2 day Rotation week off Required Candidate profile HR Sadhvi share me your resume on this number 8447910644

CTC 25,000 / experience (21k in hand) 20,000 / fresher(16k in hand) Incentive - Null Assessment :- Data Annotation assessment Operations Round Graduate only 5 Day working / Rotation shift / 2 day Rotation week off Required Candidate profile YouTube Channel - Sonu Chaurasiya Interview Location Video --- https://youtu.be/1AmXOLMEPEw Gaurav Tower near Bank of Baroda pvr, , Vikaspuri, New Delhi, Delhi, 110018 4th Floor- Waiting area

CTC 25,000 / experience (21k in hand) 20,000 / fresher(16k in hand) Incentive - Null Assessment :- Data Annotation assessment Operations Round Graduate only 5 Day working / Rotation shift / 2 day Rotation week off Required Candidate profile YouTube Channel - Sonu Chaurasiya Interview Location Video --- https://youtu.be/1AmXOLMEPEw Gaurav Tower near Bank of Baroda pvr, , Vikaspuri, New Delhi, Delhi, 110018 4th Floor- Waiting area

Valid Data Annotation exp. only CTC 25,000 / Experience (21K in hand) 20,000 / Fresher (16K in hand) Incentive - Null Assessment :- 1. Data Annotation assessment 2. Operations Round Graduation Mandatory 5 Day working / Rotational shift & offs