438 Object Detection Jobs - Page 14

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

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

Lead data annotation and collection projects. Develop and implement data annotation guidelines and processes. Train and manage data annotation teams. Collaborate with data scientists and engineers to understand data requirements. HR - 63980 09438 Required Candidate profile Qualification - Graduate Salary :- CTC 25,000 / experience 20,000 / fresher Experience - Data Annotation only Transport:- Both Side 5 Day working / Rotation shift / 2 day Rotation week off

SALARY 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

- Job Profile : Data Annotation - Location : Gurugram Sector 18 - Rotational Shifts and Offs - Both side Cabs as per International Process - Virtual Interviews HR Rohit - 9870308784 Required Candidate profile Excellent English speaking candidates required - Both Freshers and Experienced candidates required - Assessment : Data Annotation Assessment Operations Round

CTC 25,000 / experience 20,000 / fresher Incentive - Null Assessment :- Data Annotation assessment Operations Round Graduate only 5 Day working / Rotation shift / 2 day Rotation week off Required Candidate profile Job Hiring all Updates Check YouTube YouTube Channel - Sonu Chaurasiya HR Sonu Chaurasiya 8448473507 Skill seekers consultancy

Who you are & how you can contribute? We are seeking a Biology expert with a PhD degree The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques This fully remote position allows for flexible work hours while contributing to AIs advancement What you will be doing? Annotate Biology-related data to improve AI comprehension Provide feedback on AI-generated responses to ensure scientific accuracy Assist in developing problem sets and solutions for AI training Collaborate with AI researchers to refine AI capabilities in the field of Biology Must Required Traits: Strong academic background in Biology Experience in Biology education, research, or content creation preferred Familiarity with AI, machine learning, or data annotation is a plus Excellent problem-solving and analytical skills Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

CTC 25,000 / experience 20,000 / fresher Incentive - Null Assessment :- Data Annotation assessment Operations Round Graduate only 5 Day working / Rotation shift / 2 day Rotation week off

We are looking for highly skilled Computer Science Engineer (freelancers) to contribute to AI training through data annotation and domain-specific expertise This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AI’s understanding and performance Key Responsibilities:Develop and validate AI-driven software models Annotate and evaluate code quality and software structures Provide insights into algorithms and data structures Must Required Traits:Strong academic background in Computer Science (PhD preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail

We are looking for highly skilled Mechanical Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AI’s understanding and performance Key Responsibilities:Analyze and annotate mechanical designs for AI training Provide feedback on AI-generated CAD and mechanical simulations Evaluate engineering calculations and problem-solving techniques Must Required Traits:Strong academic background in Mechanical Engineer (BSc preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail

We are looking for highly skilled Computer Science Engineer (freelancers) to contribute to AI training through data annotation and domain-specific expertise This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AI’s understanding and performance Key Responsibilities:Develop and validate AI-driven software models Annotate and evaluate code quality and software structures Provide insights into algorithms and data structures Must Required Traits:Strong academic background in Computer Science (PhD preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail