1127 Computer Vision Jobs - Page 19

Requirement Brief: Idolize is an AI Tech Startup with 6+ years deep experience in Implementing HyperAutomation Solutions. We take pride in calling ourselves as one of the best solution provider in the HyperAutomation space while amalgamating multiple technologies under one roof. In this sequence, we are currently having acute focus on GenAI, LLM and NLP under the umbrella of AI technologies to enhance our capabilities in HyperAutomation while integrating these tech components in more complex automation use cases. In above context, we are in the process of setting up a dedicated COE (center of excellence) for GenAI, LLM and related technologies and looking to onboard talented individuals as GenAI Interns who have completed their base academic degree in computer science i.e. B.Tech. (CS or IT), B.E. (CS or IT), M.Tech. (CS or IT), MCA and who are passionate to build AI driven automation solutions with the help of these new age technologies. Below are the detailed requirements for this opportunity and we are eager to on-board you as early as in a week time. What is expected from you: Educational Background: Degree: Bachelors or Masters degree in Computer Science, Computer Engineering, or a related field. Recent graduates or final-year students are encouraged to apply. We would like to have only and only 2023 and 2024 passing graduates. Please note that we are not currently interviewing candidates with B.Sc. or M.Sc. degrees hence you may choose not to apply. Technical Skills: Programming Languages: Proficiency in programming languages commonly used in AI and machine learning, such as Python. Familiarity with libraries like PyTorch or TensorFlow is highly desirable. Understanding of LLMs: Fundamental knowledge of how Large Language Models work, including transformers, attention mechanisms, and common architectures like GPT, BERT, or T5. Experience with NLP: Basic understanding of Natural Language Processing (NLP) concepts and techniques, such as tokenization, embedding, and text classification. Machine Learning Foundations: Solid understanding of machine learning principles, algorithms, and techniques. Coursework or projects in machine learning is a plus. Hands-On Experience: Projects and Internships: Experience in working on projects involving LLMs or NLP tasks. This could include internships, academic projects, hackathons, or personal projects that demonstrate practical experience with LLMs. Use of LLMs: Demonstrated experience in using pre-trained LLMs (such as GPT, BERT, etc.) for various applications. Experience in fine-tuning models for specific tasks or developing applications using LLMs is a plus. Git and Version Control: Familiarity with version control systems like Git for managing code. Soft Skills: Problem-Solving Ability: Strong analytical skills and the ability to solve complex problems independently. Communication Skills: Ability to clearly articulate ideas and collaborate effectively in a team environment. Learning Attitude: A proactive and enthusiastic approach to learning new technologies and methodologies, especially in the rapidly evolving field of GenAI. Preferred Qualifications: Research Experience: Any research experience or publications related to NLP, LLMs, or machine learning. Cloud Computing: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and experience deploying machine learning models on cloud infrastructure. Contributions to Open Source: Contributions to open-source projects, particularly those related to NLP, machine learning, or GenAI. - What is in it for you: Opportunity to work on Live use cases: From day-1 we will involve you in the production use cases across various business verticals like Banking, NBFC, Manufacturing and Insurance etc. Working in high performing environment: We encourage solution mindset colleagues who are having passion for their subject and this time it is your chance to be part of this culture Remuneration, Benefits and Rewards: We ensure that top talent in you is always recognized and you receive all your due credits be it tangible benefits or intangible one. We offer top salaries, time to time recognition and deliverables centric bonuses. More you deliver more you receive back from us Centrally located office with all amenities: Our office is in Thane Wagle Estate area which is fast growing business hub in Mumbai now. We take care of all your essential needs to ensure that you stay focussed on your main objective of solution building Pls send your resume first on talent@idolizesolutions.com . Once we review your profile and select the same, we will contact you for next round of discussion on a mutually convenient time. We generally conduct only 2 rounds of interview same day or few days apart and announce the final decision immediately thereafter. Office Address: Idolize Business Solutions AWFIS Office Space, 2nd Floor, Kalpataru Prime, Road Number 16, Wagle Industrial Estate, Thane West, 400604. Website: www.idolizesolutions.com | Phone: 7021483772 | Email: talent@idolizesolutions.com

2 yrs Experience with ML frameworks like PyTorch or Tensorflow developing and fine-tuning Large Language Models (LLMs). writing robust code in Python with best practices. REST API development and working with cloud ecosystems (AWS / Azure / GCP).

Greetings from AarnaHR!!! Aarna HR Solutions is a Human Resource Recruitment Company providing services to Various IT, ITES and Non- IT companies across India. Aarna HR Solutions strive towards hiring the best and the brightest talent in the industry. We hire individuals with a strong sense of pride in their performance, team spirit, and a desire to excel. www.aarnahr.com 10+ yrs of experience with BE / B.Tech Handson with Deep learning & Computer Vision 1.Total Exp 2.Relevant Exp 3.Reason for Change of job 4.Reason for Change of location 5 Current CTC 6 Expected CTC 7.Notice period HR TEAM, AarnaHR Solution Pvt Ltd, Vidyaranyapura,Bangalore-560097 Email ID surekha@aarnahr.com

AI Development: Design, develop, and deploy AI algorithms and machine learning models for safety systems, predictive analytics, and process optimization. Implement computer vision and NLP solutions for AR/VR applications and industrial safety scenarios. Data Analysis and Modelling: Collect, preprocess, and analyse large datasets from industrial systems and safety processes. Build predictive models, recommendation systems, and clustering algorithms to solve business challenges. Integration and Deployment: Integrate AI/ML models into existing software systems, AR/VR platforms, and training simulators. Develop APIs and tools to make AI capabilities accessible across platforms. Visualization and Reporting: Create intuitive dashboards and visualizations to present data insights to stakeholders. Generate detailed reports explaining analytical findings and model performance. Research and Innovation: Explore and experiment with new AI technologies and frameworks to improve safety and operational efficiency. Conduct feasibility studies for integrating emerging AI techniques into industrial solutions. Collaboration: Work closely with software developers, AR/VR teams, and business stakeholders to align AI solutions with company goals. Role & responsibilities Preferred candidate profile Experience: 5-7 years in AI, data science, or related fields with proven experience deploying machine learning models in production. Programming Skills: Proficiency in Python, R, or Java with experience using libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. Data Tools: Strong knowledge of SQL/NoSQL databases, Hadoop, Spark, or other big data platforms. AI/ML Expertise: Hands-on experience with supervised, unsupervised, and deep learning techniques, as well as reinforcement learning. Analytics and Visualization: Expertise in tools like Tableau, Power BI, or Matplotlib for data visualization.

Videonetics Technology Pvt Ltd. is looking for System Integration Expert Computer Vision to join our dynamic team and embark on a rewarding career journey Design and integrate computer vision systems into enterprise applications Develop algorithms and ensure real-time data processing Collaborate with software, hardware, and AI teams Conduct system validation and performance tuning

Videonetics Technology Pvt Ltd. is looking for Computer Vision System Engineer to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

Role & responsibilities Design, build, deploy and optimize computer vision algorithms/models for tasks such as image recognition, object detection, segmentation, and pattern recognition to solve real world problems Implement and test machine learning and deep learning models for visual data analysis Collaborate with data scientists, software engineers, and domain experts to integrate computer vision solutions into products and applications Collect, preprocess, and annotate datasets for training and validating models Evaluate and improve the performance, scalability, and reliability of deployed vision systems Collaborate with cross-functional teams Stay updated with the latest research and advancements in computer vision and AI, and experiment with new techniques Document algorithms, models, and workflows, and contribute to technical reports Preferred candidate profile Bachelors or Master’s degree in Computer Science, Electrical Engineering, or a related field 2-3 years of experience in computer vision, machine learning, or a related area Proficiency in Python and experience with libraries such as OpenCV, TensorFlow, or PyTorch Able to write clean, maintainable and scalable code which leads to robust, adaptable and maintainable code Solid understanding of image processing techniques and computer vision algorithms Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) Familiarity with version control systems (e.g., Git) Strong analytical and problem-solving skills Good communication and documentation abilities

About Us:. Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market.. Job Summary:. We are seeking an innovative and highly skilled AI Engineer to join our customer’s team. In this dynamic role, you will design and deploy advanced Generative AI and LLM solutions, driving impactful real-world applications. Your expertise will directly shape our customer’s AI products, working in a collaborative, forward-thinking environment.. Key Responsibilities:. Develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI applications for production environments.. Engineer robust RAG (Retrieval Augmented Generation) pipelines utilizing vector stores such as FAISS, Pinecone, or Weaviate.. Implement and optimize prompt engineering strategies for enhanced performance of commercial and open-source LLMs (OpenAI, Anthropic, Hugging Face, etc.).. Integrate NLP techniques and transformer architectures to boost customer’s product capabilities.. Collaborate cross-functionally to define AI-driven product features and recommend technical enhancements.. Write clean, efficient Python code while adhering to best practices in code quality and documentation.. Communicate technical concepts effectively in both written and verbal forms with stakeholders and team members.. Required Skills and Qualifications:. Strong programming proficiency in Python for AI/ML projects.. Hands-on experience with LLM frameworks such as LangChain or Haystack.. Proficient in designing and deploying RAG pipelines, including leveraging vector database technologies (e.g., Redis, FAISS, Pinecone, Weaviate).. Deep understanding of NLP fundamentals and transformer models.. Demonstrated experience with both commercial and open-source LLMs.. Expertise in prompt engineering and embeddings.. Exceptional written and verbal communication abilities, with an emphasis on clarity and collaboration.. Preferred Qualifications:. Experience deploying GenAI applications at scale in production environments.. Background in designing customer-facing AI solutions.. Prior experience collaborating in hybrid or distributed teams.. Show more Show less

BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you're not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise.. Your Opportunit. yJoin our network as a Computer Vision Engineer and help startups build AI systems that understand, analyze, and act on visual data. From object detection and facial recognition to medical imaging and video analytics, you'll work on real-world use cases that require state-of-the-art computer vision solutions. . Role Overvi. ewAs a Computer Vision Engineer, you wil. l:Design, train, and deploy computer vision models for specific business applicatio. nsWork with image, video, or 3D data to extract insights and automate workflo. wsCollaborate with teams to integrate CV models into scalable produc. ts. What You’ll. DoBuild and fine-tune models for classification, detection, segmentation, tracking, or. OCRUse libraries like OpenCV, PyTorch, TensorFlow, Detectron2, or Y. OLOPreprocess and augment datasets to improve model robustn. essDeploy models using APIs, edge devices, or cloud-based inference to. olsMonitor performance and continuously optimize for accuracy and sp. eed. Technical Requirem. ents3+ years of experience in computer vision or deep lear. ningProficient in Python and frameworks like PyTorch, TensorFlow, or K. erasExperience with OpenCV, scikit-image, and image/video processing pipel. inesFamiliarity with model deployment using ONNX, TensorRT, or cloud serv. icesBonus: experience with real-time CV, synthetic data, or 3D vi. sion. What We’re Lookin. g ForA hands-on developer who can take vision-based problems from idea to produ. ctionA freelancer who enjoys working with data-rich products and diverse use. casesSomeone who can collaborate with both technical and product teams to deliver real i. mpact. Why J. oin UsWork on challenging computer vision projects across indu. striesFully remote and flexible freelance opportu. nitiesGet matched with future roles in CV, AI, and edge depl. oymentJoin a growing network solving real-world problems with intelligent vision s. ystems. Ready to bring vision to life? Apply now to become a Computer Vision Engineer with. BeGig.. Show more Show less

About: Newton School has formed a powerful partnership to drive transformation in the world of technology and education. Newton School, dedicated to bridging the employability gap, has partnered with Rishihood University, Sonipat, Indias first impact university, and Ajeenkya DY Patil University, Pune. Together, we will be revolutionizing education, empowering students, and shaping the future of technology. With a team of experienced professionals and renowned investors, we are united in our mission to solve the employability challenge and make a lasting impact on society. Key Responsibilities: Teach Applied AI/ML: Design and deliver practical, project-based courses in AI/ML (e.g., Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, GenAI). Develop Industry-Relevant Curriculum: Help design and update the AI/ML curriculum to reflect current industry tools, techniques, and best practices, incorporating your own professional experience and case studies. Mentor Student Projects: Guide students through hands-on AI/ML projects, providing technical direction, code reviews, and feedback based on industry standards. Guide & Mentor Students: Advise students on developing practical skills, understanding career paths in AI/ML, and preparing for internships and job placements. Stay Current: Keep your expertise sharp on the latest AI/ML trends and technologies, bringing that knowledge into the classroom. Collaborate: Work closely with other industry-expert faculty and staff to create a unified and effective learning experience. Assess Practical Skills: Create and evaluate assignments, projects, and assessments focused on measuring practical application and understanding. Required Qualifications & Experience: Bachelors or Masters degree in Computer Science, Engineering, Data Science, AI/ML, or a similar field. (A PhD is valued but not required.) Minimum 2-5 years of direct, hands-on professional experience in the tech industry as an AI/ML Engineer, Data Scientist, Research Scientist, or similar role involving significant AI/ML development and deployment. Proven Industry Track Record: Demonstrable experience building, training, and deploying machine learning models (including deep learning) to solve real-world problems. Deep AI/ML Understanding: Strong grasp of core ML algorithms (classical & deep learning - CNNs, RNNs, Transformers), underlying theory, model evaluation, statistics, and current research/industry trends. Passion for Teaching/Mentoring: Clear ability and enthusiasm for explaining complex technical topics and guiding others. Experience in corporate training, mentoring junior team members, leading workshops, creating technical content, or supervising projects is highly relevant. (Formal academic teaching experience is not a prerequisite.) Required Skills: Technical : Expert-level Python programming. Proficiency with data science libraries (Pandas, NumPy, Scikit-learn). Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch). Strong SQL and data handling skills. Understanding of ML Ops practices and tools (Git, Docker, Cloud platforms - AWS/GCP/Azure). Knowledge of key AI areas (NLP, Computer Vision, Generative AI/LLMs). Communication: Excellent ability to explain technical concepts clearly to students. Strong mentoring skills. Collaboration: Team-oriented approach. Passion: Genuine interest in education and student success within an innovative, practical learning environment. Good-to-Have: Prior teaching experience at the undergraduate or graduate level. Familiarity with modern teaching methodologies and academic tools. Perks & Benefits Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities. Contribution to cutting-edge academic work in collaboration with the Newton School of Technology and Rishihood University. About: Newton School has formed a powerful partnership to drive transformation in the world of technology and education. Newt ...

About Us:. We are an innovative company revolutionising retail checkout experiences by replacing traditional barcodes with cutting-edge Computer Vision technology. Our platform enables seamless, faster, and smarter checkout processes, enhancing the shopping experience for both retailers and consumers. We're growing rapidly and are looking for an experienced Android/Cross-Platform App Developer to join our team and help us build the future of retail technology.. Key Responsibilities:. Lead the research, design, and development of advanced computer vision models for tasks like object detection, tracking, segmentation, OCR, scene understanding, and 3D vision.. Translate business needs into scalable scientific solutions using state-of-the-art deep learning and classical computer vision techniques.. Design and implement experiments to evaluate performance, robustness, and accuracy of CV models in real-world production scenarios.. Collaborate with cross-functional teams including software engineering, product, and data teams to integrate vision models into applications. Drive innovation through internal IP generation (patents, publications) and contribute to the long-term AI/ML roadmap.. Provide scientific and technical leadership, mentoring junior scientists and reviewing designs and architectures.. Stay up to date with latest developments in AI, deep learning, and computer vision through academic and industrial research.e with industry best practices and emerging technologies to drive continuous improvement.. Qualifications:. S. 5+ years of hands-on experience in building and deploying production-grade computer vision models.. Strong theoretical background and applied experience in deep learning frameworks (e.g., PyTorch) and model architectures (e.g., CNNs, Vision Transformers, Diffusion Models).. Experience in working with large-scale datasets, training pipelines, and performance evaluation metrics.. Proficiency in Python and scientific computing libraries (e.g., NumPy, OpenCV, scikit-learn).. Experience with model optimization for edge deployment (ONNX, TensorRT, pruning/quantization) is a strong plus.. Strong written and verbal communication skills, with a track record of mentoring and collaboration.. Preferred Qualifications:. Experience with computer vision in real-time systems (e.g., AR/VR, robotics, automotive, surveillance).. Published research papers in top-tier conferences (CVPR, ICCV, NeurIPS, etc.).. Exposure to MLOps or ML model lifecycle in production environments.. Familiarity with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes) and basic bash scripting.. Show more Show less

Commitment: 10-20 hours/week for 1–2 months (with potential extension).. Compensation: Among the highest in the industry, aligned with experience and expertise.. Who should apply. We are not looking for general translators, freelancers, or content writers. We are looking for the top 1% of academic and cultural experts who meet all the following:. Native fluency in one or more of the following (reading and writing):. Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Tamil, Telugu, or Punjabi. Strong command of English (for prompt interpretation and evaluation). Deep academic or research expertise in History or Literature & Linguistics. PhD, MPhil, or Master’s degree is preferred, but credible, extensive experience in the field is also valued.. Passion for precision, language, and cultural nuance. Based in the respective state/region where the language is natively spoken. Comfortable using AI tools like ChatGPT, Claude, Gemini, etc.. Your Role? Challenge and Teach AI Models to Understand the Depth of Indian History and Literature in Your Language. Design advanced, historically and culturally rooted prompts in your regional language that challenge state-of-the-art AI models. Evaluate model outputs for factual accuracy, literary nuance, historical context, tone, and regional relevance. Identify blind spots and weaknesses in current AI understanding within your domain. Collaborate with an international team shaping how AI understands Indian languages, history, literature, and knowledge systems. This is not a translation or content-writing gig. We're seeking true experts to shape the next generation of language models.. Show more Show less

Job Title: Machine Learning Engineer. Job Type: Full-time, Contractor. Job Summary:. We are seeking an innovative and highly skilled Machine Learning Engineer to join our customer’s team. In this dynamic role, you will design and deploy advanced Generative AI and LLM solutions, driving impactful real-world applications. Your expertise will directly shape our customer’s AI products, working in a collaborative, forward-thinking environment.. Key Responsibilities:. Develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI applications for production environments.. Engineer robust RAG (Retrieval Augmented Generation) pipelines utilizing vector stores such as FAISS, Pinecone, or Weaviate.. Implement and optimize prompt engineering strategies for enhanced performance of commercial and open-source LLMs (OpenAI, Anthropic, Hugging Face, etc.).. Integrate NLP techniques and transformer architectures to boost customer’s product capabilities.. Collaborate cross-functionally to define AI-driven product features and recommend technical enhancements.. Write clean, efficient Python code while adhering to best practices in code quality and documentation.. Communicate technical concepts effectively in both written and verbal forms with stakeholders and team members.. Required Skills and Qualifications:. Strong programming proficiency in Python for AI/ML projects.. Hands-on experience with LLM frameworks such as LangChain or Haystack.. Proficient in designing and deploying RAG pipelines, including leveraging vector database technologies (e.g., Redis, FAISS, Pinecone, Weaviate).. Deep understanding of NLP fundamentals and transformer models.. Demonstrated experience with both commercial and open-source LLMs.. Expertise in prompt engineering and embeddings.. Exceptional written and verbal communication abilities, with an emphasis on clarity and collaboration.. Preferred Qualifications:. Experience deploying GenAI applications at scale in production environments.. Background in designing customer-facing AI solutions.. Prior experience collaborating in hybrid or distributed teams.. Show more Show less

Job Title: Data Scientist. Job Type: Full-time, Contractor. Job Summary:. We are seeking an innovative and highly skilled Data Scientist to join our customer’s team. In this dynamic role, you will design and deploy advanced Generative AI and LLM solutions, driving impactful real-world applications. Your expertise will directly shape our customer’s AI products, working in a collaborative, forward-thinking environment.. Key Responsibilities:. Develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI applications for production environments.. Engineer robust RAG (Retrieval Augmented Generation) pipelines utilizing vector stores such as FAISS, Pinecone, or Weaviate.. Implement and optimize prompt engineering strategies for enhanced performance of commercial and open-source LLMs (OpenAI, Anthropic, Hugging Face, etc.).. Integrate NLP techniques and transformer architectures to boost customer’s product capabilities.. Collaborate cross-functionally to define AI-driven product features and recommend technical enhancements.. Write clean, efficient Python code while adhering to best practices in code quality and documentation.. Communicate technical concepts effectively in both written and verbal forms with stakeholders and team members.. Required Skills and Qualifications:. Strong programming proficiency in Python for AI/ML projects.. Hands-on experience with LLM frameworks such as LangChain or Haystack.. Proficient in designing and deploying RAG pipelines, including leveraging vector database technologies (e.g., Redis, FAISS, Pinecone, Weaviate).. Deep understanding of NLP fundamentals and transformer models.. Demonstrated experience with both commercial and open-source LLMs.. Expertise in prompt engineering and embeddings.. Exceptional written and verbal communication abilities, with an emphasis on clarity and collaboration.. Preferred Qualifications:. Experience deploying GenAI applications at scale in production environments.. Background in designing customer-facing AI solutions.. Prior experience collaborating in hybrid or distributed teams.. Show more Show less

Summary. The Machine Learning Engineer position focuses on developing machine learning models to solve real-world business challenges in a global industrial context. The primary goal is to support the AI team's efforts in creating innovative solutions for various applications across multiple industries.. Main Responsibilities. As a Machine Learning Engineer, your core duties will include:. Develop, train, test, and deploy machine learning models in areas such as computer vision, LLMs, and time series data.. Experiment with deep learning technologies, including self-supervised learning and generative AI.. Set up MLOps infrastructure for AI products.. Work with customer data to establish data pipelines for collection and transformation.. Collaborate with cross-functional teams to extend and build new AI products.. Analyze and interpret large datasets using advanced AI techniques.. Key Requirements. Bachelor or Master’s Degree in Data Science, Computational Statistics/Mathematics, Computer Science, or related field.. Basic understanding of neural networks and practical experience with deep learning frameworks like PyTorch and TensorFlow.. Experience in backend and API development using Python (e.g., FastAPI, Flask).. Knowledge of Object Oriented Programming, design patterns, algorithms, and version control systems (e.g., Git).. Nice to Have. Basic experience with cloud platforms (e.g., Azure), Docker, and Kubernetes.. Fluency in English.. Other Details. Location: Bengaluru, India. Team: Artificial Intelligence team, part of a global division.. Show more Show less

About Soul AI:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact.. Who you are & how you can contribute?. We are seeking a Chemistry 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 AI’s advancement.. What you will be doing?. Annotate Chemistry-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 Chemistry.. Must Required Traits:. Strong academic background in Chemistry.. Experience in Chemistry education, research, or content creation preferred.. Familiarity with AI, machine learning, or data annotation is a plus.. Excellent problem-solving and analytical skills.. Why join us?. Competitive salary. Fully remote and flexible work schedule.. Opportunity to work on cutting-edge AI technology.. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions!. Show more Show less

We are conducting a Mega Walk-in Drive for experienced Quality Analysts in Data Annotation . Join a fast-growing team working on cutting-edge ADAS and LIDAR technologies. What Were Looking For: - 2 - 3 years of hands-on experience in data annotation - Strong knowledge of 2D and 3D annotation techniques - Preferred experience with LiDAR and ADAS - Excellent attention to detail and organizational skills - Flexibility to work in rotational shifts Eligibility: - Any graduate - Must be based in Coimbatore - Relevant annotation experience highly preferred - Immediate joiners strongly preferred Interview Mode:Direct Walk-in Monday to Friday (10.00 AM to 3.00 PM) Interested candidates directly come to the below mentioned office address. 2nd Floor, Perur Tex P Ltd Building, 122, Appusamy Layout Rd, Red Fields, Race Course, Coimbatore, Tamil Nadu 641045

Minimum qualifications:. Bachelor’s degree or equivalent practical experience.. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.. 2 years of experience with data structures or algorithms.. 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).. Preferred qualifications:. Master's degree or PhD in Computer Science or related technical fields.. Experience developing accessible technologies.. About The Job. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Write product or system development code.. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.. Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

About Soul AI:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact.. Who you are & how you can contribute?. We are seeking a Physics 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 AI’s advancement.. What you will be doing?. Annotate Physics-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 Physics.. Must Required Traits:. Strong academic background in Physics.. Experience in Physics education, research, or content creation preferred.. Familiarity with AI, machine learning, or data annotation is a plus.. Excellent problem-solving and analytical skills.. Why join us?. Fully remote and flexible work schedule.. Opportunity to work on cutting-edge AI technology.. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions!. Show more Show less

About Soul AI:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact.. Who you are & how you can contribute?. We are seeking a Biology Expert. 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 AI’s 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.. Why join us?. Fully remote and flexible work schedule.. Opportunity to work on cutting-edge AI technology.. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions!. Show more Show less

Commitment: 10-20 hours/week for 1–2 months (with potential extension).. Compensation: Among the highest in the industry, aligned with experience and expertise.. Who should apply. We are not looking for general translators, freelancers, or content writers. We are looking for the top 1% of academic and cultural experts who meet all the following:. Native fluency in one or more of the following (reading and writing):. Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Tamil, Telugu, or Punjabi. Strong command of English (for prompt interpretation and evaluation). Deep academic or research expertise in History or Literature & Linguistics. PhD, MPhil, or Master’s degree is preferred, but credible, extensive experience in the field is also valued.. Passion for precision, language, and cultural nuance. Based in the respective state/region where the language is natively spoken. Comfortable using AI tools like ChatGPT, Claude, Gemini, etc.. Your Role? Challenge and Teach AI Models to Understand the Depth of Indian History and Literature in Your Language. Design advanced, historically and culturally rooted prompts in your regional language that challenge state-of-the-art AI models. Evaluate model outputs for factual accuracy, literary nuance, historical context, tone, and regional relevance. Identify blind spots and weaknesses in current AI understanding within your domain. Collaborate with an international team shaping how AI understands Indian languages, history, literature, and knowledge systems. This is not a translation or content-writing gig. We're seeking true experts to shape the next generation of language models.. Show more Show less

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. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! Role SME- IVA 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 You will remain rooted as an engineer, a designer, and a technologist while leading a team.You take complete ownership of timely product delivery with impeccable software quality. You have the ability to navigate the teams through fast changing market needs. You possess strong people leadership skills in mentoring the young engineers Experience 4+ Years Qualification B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE)or related field Technical Skills Required : Hands on with C++, OOPS, Computer Vision, OpenCV, TensorFlow, Web Orientation, Web Development, OpenCV, Image Processing. Hands-on 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 Strong programming skills using Python and C++ Superhuman thirst for learning including scouting for ideas and keeping up-to-date with advancements in the field Good to have skills : 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 What your day might look like (Role) The SME - 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 do 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!

Assist in the design, development, and deployment of AI solutionsutilizing machine learning, natural language processing (NLP), and computervision techniques. - Collaborate with cross-functional teams, including data scientists andsoftware engineers, to seamlessly integrate AI solutions into existing productsand services. - Support data collection, processing, and automation tasks to enhance andrefine AI models. - Contribute to the testing, debugging, and optimization of AI solutions toensure high-quality, reliable outcomes. - Stay abreast of the latest trends in AI and machine learning, continuouslyintegrating new advancements to improve solutions. . Requirements What Does It Take? (SkillsRequired): - Educational Background: A degree in Computer Science, AI, Machine Learning,or a related technical field. Fresh graduates are encouraged to apply. - Programming Knowledge: Basic proficiency in Python, with familiarity in AI/MLframeworks. - API Integration Skills: Knowledge of Fast API and an understanding of how tointegrate APIs with other platforms (or a willingness to learn). - API & Automation: Familiarity with Fast API architecture, databasemanagement (MySQL, Chrome DB/Pinecone), and automation tools. - Machine Learning Proficiency: Experience with data preprocessing, featureengineering, and model evaluation techniques essential for AI/ML projects. - Problem-Solving: A creative mindset focused on solving technical challenges. - Team Player: Strong communication skills with the ability to collaborateeffectively within a team. - AI & NLP Familiarity: Exposure to working with LLMs, VLMs, or relatedtechniques (such as transformers and deep learning models). - Transformers Knowledge: Basic understanding of transformer models and howthey are applied in LLMs and VLMs (e.g., BERT, GPT, CLIP). Preferred Qualifications: - Internship experience in AI, machine learning, NLP, or computer vision. - Hands-on experience with AI projects (personal or academic), especially thoseinvolving LLMs, VLMs, or transformers. - Contribution to open-source AI projects or participation in AI competitionsis a plus

Bachelor's or masters degree in computer science, AI/ML, Data Science, or related field. 5+ years of experience in AI/ML solution design and development. Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong programming skills in Python, R, or Java. Hands-on experience with cloud platforms (AWS, Azure, GCP). Solid understanding of data engineering concepts and tools (Spark, Hadoop, Kafka, etc.). Experience with MLOps practices, including CI/CD for AI models. Strong problem-solving, communication, and leadership skills. Preferred Qualifications AI/ML certifications (AWS Certified Machine Learning, Google Professional ML Engineer, etc.) Experience in natural language processing (NLP) or computer vision. Knowledge of AI governance and ethical AI practices. Familiarity with AI model explainability and bias detection.

Videonetics Technology Pvt Ltd. is looking for Computer Vision Research Engineer to join our dynamic team and embark on a rewarding career journey Conduct research and development activities in the assigned field. Design and execute experiments and analyze data. Develop prototypes and test new technologies. Prepare technical reports and documentation. Collaborate with other researchers and stakeholders on projects.