33 Image Recognition Jobs

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

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

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

Customize Llama or leverage OpenAI 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.

Must-Have Skills: Scripting using Java/Selenium API Automation Knowledge of Telephony Testing (Genesys platform would be a plus) Selenium Grid Implementation Quick Learner Good-to-Have Skills: Docker Knowledge Kotlin Language Knowledge Automation Experience in Desktop Applications Automation with Image Recognition Tools Experience Range: Hands-on experience with Selenium + Java Experience in Test Planning, Test & Automation Strategy, and Writing Test Cases Design and Develop Test Automation Framework Development Experience in Delivering Test Plans and Strategies CI/CD Knowledge Experience in Providing Test Automation Solutions and Presenting Them to Clients Good Knowledge of Source Code Management (e.g., GitHub) Other Skills: Analyst in Test Business Analyst Good Testing Concepts (Manual & Automation) Good Analytical and Communication Skills Attention to Details Patient and Persistent Assertive Fast-paced Learner Good in Client Interaction and Articulation A Good Team Player Project Activities: Key Technical Consultant: Provides recommendations on overall test automation approach and strategy, design and architecture of test framework; contributes to architecture; implements enhancements; automates tests; maintains daily communication, reports, and status. Day-to-Day Implementation: Writing test cases; executing tests; maintaining tests; verification of functional requirements to the application. Overall Quality Measures: Ensures all non-functional and user experience testing. Test Automation: Automating tests; test data creation and preparation; executing tests; maintaining tests. Required Skills Java,Selenium,Selenium Grid,Api Testing

Develop and implement AI scripts using Python to automate processes and tasks. Apply knowledge of the OpenAI API to create complex AI workflows and enhance automation solutions. Lead the deployment of AI solutions in Azure Apply Langchain Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science, Machine learning along with hands on experience with GenAI and LLMs

Job Overview: We are seeking a talented and driven Machine Learning Engineer to design and optimize machine learning models that will enhance a variety of credit and operational processes. This role will involve building cutting-edge solutions in areas like underwriting, loan processing, fraud detection, and risk mitigation, while continuously driving improvements through innovation and advanced techniques. Key Responsibilities: - Model Development & OptimizationDesign, deploy, and refine machine learning models to support key functions such as underwriting, account management, fraud detection, and loss prevention. - Advanced Techniques ImplementationIdentify opportunities to implement advanced machine learning approaches-such as Natural Language Processing (NLP), Image Recognition, and Graph Mining-to address complex business challenges. - Collaboration & Knowledge SharingWork with internal and external resources, as well as open-source algorithms, to find the best solutions and improve model performance. - Risk Management CompliancePartner with the Model Risk Management team to ensure models are developed with appropriate rigor and align with risk management and governance standards. - Cross-Functional CollaborationCollaborate closely with Product and Engineering teams to ensure seamless model deployment and integration. - Performance MonitoringTrack the effectiveness of models through dashboards and key performance indicators (KPIs), ensuring continuous improvement. - Stakeholder CommunicationPresent model insights and performance reports to key stakeholders in Credit, Risk, and Business Units, making complex findings accessible and actionable. Qualifications: - Educational BackgroundBachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. A Master's degree is highly preferred. - Experience6-12 years of hands-on experience developing and implementing machine learning models in a professional environment. - Technical ProficiencyStrong expertise in SQL and Python, with the ability to write efficient code for working with large datasets and creating advanced features. - Analytical ThinkingExceptional attention to detail and an ability to uncover hidden data patterns through thorough investigation. - Machine Learning ExpertiseSolid foundation in machine learning and statistical modeling, including supervised and unsupervised learning techniques like regression, decision trees, support vector machines, boosting, deep learning, and more. Must stay current with industry advancements to apply the best techniques. - Database KnowledgeProficient in working with SQL, NoSQL, Hive, and other relevant database technologies. - Effective CommunicationStrong ability to translate complex technical concepts into clear, understandable terms for non-technical stakeholders. Apply Save Save Pro Insights

Job Title: Machine Learning (ML) Engineer Location: Mumbai Experience : 3+ years Education : BE/BTech in Computer Science, Electronics, or related field Job Summary : We are looking for an experienced ML Engineer to join our team in Mumbai. The ideal candidate will have a solid foundation in machine learning, computer vision, and deep learning, along with strong programming and communication skills. You will be involved in Applied ML, designing, building, and optimizing ML models for real-world applications. Primary Skills : Strong proficiency in Ubuntu/Linux, SQL, Python Expertise in Machine Learning, Deep learning , Computer Vision Hands-on experience with end-to-end ML workflows Good communication skills both verbal and written Experience working with YOLO (You Only Look Once) object detection framework Good to Have : Familiarity with model quantisation techniques Experience working with Qualcomm hardware or SDKs Experience with CUDA programming

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Summary: As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Location: Pan India

Develop and implement AI scripts using Python to automate processes and tasks. Apply knowledge of the OpenAI API to create complex AI workflows and enhance automation solutions. Lead the deployment of AI solutions in Azure Apply Langchain Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science, Machine learning along with hands on experience with GenAI and LLMs

Selected intern's day-to-day responsibilities include: 1. Collaborate with researchers to determine and understand input data and annotate by drawing boxes to highlight areas of interest in images 2. Support researchers in training deep learning models through accurately categorizing content, labeling images, and annotating data 3. Report and document issues faced from data annotation to research team and discuss solutions to improve data 4. Provide feedback for improvement to existing tools that can improve the accuracy and quality of deep learning models 5. Contribute to workflow process improvements Requirements: 1. Preferably with basic computer literacy and information technology experience 2. Comfortable handling of large data sets regularly 3. Ability to work on repetitive tasks efficiently and effectively with minimal errors 4. Excellent communication, analytical, and reasoning skills 5. Possess high motivation with the desire to learn 6. Proactive attitude 7. Strong interest in artificial intelligence and machine learning, especially in deep learning

Looking for performance-oriented individuals Annotators • Daily annotation of records, including all steps involved within the process, from annotation to timeline review. • Ensure production & accuracy targets are met as per client expectation Required Candidate profile • Exp: 06 to 7 • Science (UG/PG) • Utilize the AI tools effectively, so that the process is efficient and effective • Freshers / exp in nursing/ hospital/ annotation environment is an added advantage

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. We are seeking an experienced Salesforce AI Architect with over 10 years of expertise in implementing and designing solutions around AI and machine learning. The ideal candidate will be responsible for architecting and leading AI-driven initiatives within the Salesforce platform. You will play a critical role in engaging with clients, providing technical leadership, and delivering scalable AI solutions. This role involves leading pre-sales discussions, designing advanced AI solutions, and overseeing successful project execution. Key Responsibilities: 1. Pre-Sales and RFPs: Engage with clients to identify their AI and Salesforce needs and align business objectives with Salesforce Einstein AI capabilities. Lead technical discussions during pre-sales engagements, showcasing Salesforce Einstein AI expertise, its benefits, and strategic value. Develop and deliver presentations, demos, and proofs of concept on Einstein AI capabilities that resonate with client-specific challenges. Contribute to the creation of RFP responses, providing in-depth technical solutions, architecture design, and implementation strategies to win new projects. 2. Estimations and Proposals: Analyze project requirements and client needs to provide accurate effort estimations and timelines for AI-driven Salesforce implementations. Develop comprehensive technical proposals and solution blueprints, aligning with client expectations, budget constraints, and business requirements. Collaborate with the sales team to deliver competitive proposals that ensure technical feasibility while meeting business goals and maximizing Salesforces AI potential. 3. Training and Knowledge Sharing: Lead the development and delivery of training programs on Salesforce Einstein AI features for internal teams, clients, and stakeholders to enhance AI adoption. Create and maintain a comprehensive knowledge base of best practices, AI implementation methodologies, and technical documentation for ongoing reference and learning. Mentor and guide technical teams, providing them with the necessary tools and insights to effectively utilize Salesforce Einstein in client projects. 4. Discovery and Design: Lead discovery sessions with clients to gather business requirements and design AI-driven Salesforce solutions that align with organizational goals. Architect scalable, robust AI solutions using Salesforce Einstein AI features such as Einstein Prediction Builder, Einstein Vision, and Einstein Discovery. Ensure that technical solutions are not only effective but also meet the clients business objectives and are scalable for future needs. 5 . Project Ownership and Execution: Take ownership of the end-to-end technical delivery of AI projects, ensuring that Salesforce Einstein AI features are successfully implemented. Oversee the technical team, guiding them throughout the project lifecycle, ensuring the delivery of high-quality AI solutions on time and within budget. Monitor project progress, proactively address technical challenges, and ensure timely resolution of any issues to deliver optimal outcomes for clients. 6. Collaboration with Other Business Units: Collaborate with other business units, including project management, development, and support teams, to ensure seamless execution of AI projects. Foster strong relationships with cross-functional teams to streamline project workflows, encourage teamwork, and drive success across the organization. 7 . Continuous Improvement: Stay updated with the latest advancements in Salesforce Einstein AI, machine learning, and relevant technologies to ensure solutions remain cutting-edge. Contribute to the development of best practices and AI solution methodologies within the organization to maintain a competitive edge in AI implementations. Identify opportunities for process improvements and AI innovation, driving advancements in how AI is integrated into Salesforce environments. Key Qualifications: Bachelors/ Masters degree in Computer Science, AI/ML, Data Science, or a related field. 10+ years of experience in the IT Industry with at least 6 plus years relevant experience in Data Science or AI related technologies. Strong pre-sales experience, including technical presentations, RFP responses, and solution design, with a focus on AI-driven Salesforce project Ability to lead the design and architecture of scalable AI solutions tailored to business needs and future growth. Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions. Experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Demonstrated experience in crafting prompts for generative AI, with a portfolio of examples ranging from simple to complex scenarios Ability to translate technical AI concepts into practical applications for non-technical teams. Knowledge of and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI) Strong foundation in AI/ML algorithms, with experience in generative AI techniques such as Large Language Models (LLMs) Good understanding of data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads. Extensive experience providing accurate estimations, creating detailed technical proposals, and aligning project outcomes with business objectives. Strong communication skills with the ability to effectively communicate AI/ML solutions to both technical and non-technical stakeholders. Proven experience in managing the technical delivery of AI projects, with a focus on Salesforce Einstein, ensuring projects are delivered on time and meet high-quality standards. Experience leading cross-functional teams, providing training, and sharing knowledge on best practices and AI methodologies Architect certifications from recognized university Experience in a Generative AI environment, focusing on application development in Gen AI. Experience in data preprocessing and feature engineering for AI model training. Understanding of neural network architectures and optimization techniques for generative models. Familiarity with deploying AI models into production, with a readiness to learn and adapt. Commitment to staying updated with the latest generative AI research and techniques. Prior experience in industries like financial services, retail, or healthcare with a focus on AI-driven customer insights and optimization. Preferred Skills : Proven expertise in Salesforce Einstein AI (Einstein Prediction Builder, Einstein Discovery, Einstein Vision, and CRM - A , Einstein Chatbot, Einstein Copilot , Einstein Studio , Sales and Service Einstein Features ) and its applications within Salesforce. Hands-on experience with Apex,LWC for building custom AI solutions within Salesforce. Experience in Python , TensorFlow, or PyTorch for developing ML models Experience in Data Cloud or Snowflake or any other DataLake Solutions which can be integrated with Salesforce. Experience with integration tools for connecting AI models to Salesforce. NLP, image recognition, and predictive analytics experience within Salesforce ecosystems. Experience with database technologies like Oracle, SQL, PostgreSQL, or BigQuery is a plus. Exposure to front-end design or UI development for integrating AI features is a plus. Working knowledge of cloud platforms (AWS, Azure, GCP) with an interest in cloud-based AI solutions is a plus. Salesforce Certifications - AI Associate and Architect Certifications .