784 Image Processing Jobs - Page 31

As a key member of our team, you ll collaborate with different engineering and operations teams leading development of ML solutions for a variety of vision and language-based tasks and projects You will be responsible for delivering ML technologies aligned with the fast pace new technology and short product lifecycle, while ensuring the highest standards of product quality and reliability In this role, you ll be embedded inside a vibrant team of machine learning engineers and data scientists You ll be expected to help conceive, code, and deploy machine learning models at scale using the latest industry tools Important skills include data wrangling, feature engineering, developing models, and testing metric You will have the opportunity to work both independently and collaboratively to help partner teams meet predefined objectives If you are passionate to influence the quality, speed and efficiency of our ML algorithms, come and help enable our vision to create the most refined products in the world Join our team as a key contributor, leading the development of machine learning solutions for diverse tasks and projects Collaborate with engineering and operations teams to deliver cutting-edge ML technologies, ensuring top-tier product quality and reliability in a fast-paced environment KEY RESPONSIBILITIES- Develop and deploy scalable Computer Vision and Machine Learning algorithms on local and cloud-based inferencing platforms- Perform rapid prototyping to design algorithms for challenging real world manufacturing problems in the domain of Intelligent Visual Inspection.- Leverage Large Language Models to automate document analysis, knowledge extraction, and process optimization within manufacturing workflow- Fine-tune LLMs for domain-specific applications such as improving operational documentation, production reports, and automating technical analysis.- Work with resources in cross-functional teams and the factory to integrate ML applications- Abilities to independently learn new technologies; prioritize tasks and take ownership; and meaningfully present results of analyses in a clear and impactful manner Experience developing deep learning models such as CNNs, Vision Transformers, or YOLO for image-based tasks in production systems. Proven research and practical experience in developing algorithms for image processing, content-based video/image analysis, object detection, segmentation and tracking Proven experience in fine-tuning LLMs for domain-specific use cases such as document analysis and operational efficiency. Master s in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science or related fields. iOS CoreImage/CoreML and native App development experience is a big plus. Experience deploying ML models in cloud environments (AWS, GCP, or Azure) for scalable production use. Preferred Qualifications Strong grasp of deep learning principles in both Computer Vision and Natural Language Processing (NLP). Familiarity with LLM architectures like BERT, GPT, and experience fine-tuning these models for improved performance in manufacturing settings. Knowledge of machine learning and Deep Learning libraries such as PyTorch, OpenCV, Hugging Face, is essential. Proven ability to implement, improve, debug, and maintain machine learning models Familiar with version control systems such as Git Strong optimization and debugging skills Self-motivated, responsible, excellent written and verbal interpersonal skills Experience with handling and visualizing very large data sets and creating performance reports

As a key member of our team, you ll collaborate with different engineering and operations teams leading development of ML solutions for a variety of vision and language-based tasks and projects You will be responsible for delivering ML technologies aligned with the fast pace new technology and short product lifecycle, while ensuring the highest standards of product quality and reliability In this role, you ll be embedded inside a vibrant team of machine learning engineers and data scientists You ll be expected to help conceive, code, and deploy machine learning models at scale using the latest industry tools Important skills include data wrangling, feature engineering, developing models, and testing metric You will have the opportunity to work both independently and collaboratively to help partner teams meet predefined objectives If you are passionate to influence the quality, speed and efficiency of our ML algorithms, come and help enable our vision to create the most refined products in the world Join our team as a key contributor, leading the development of machine learning solutions for diverse tasks and projects Collaborate with engineering and operations teams to deliver cutting-edge ML technologies, ensuring top-tier product quality and reliability in a fast-paced environment - Develop and deploy scalable Computer Vision and Machine Learning algorithms on local and cloud-based inferencing platforms - Perform rapid prototyping to design algorithms for challenging real world manufacturing problems in the domain of Intelligent Visual Inspection - Leverage Large Language Models to automate document analysis, knowledge extraction, and process optimization within manufacturing workflow - Fine-tune LLMs for domain-specific applications such as improving operational documentation, production reports, and automating technical analysis - Work with resources in cross-functional teams and the factory to integrate ML applications - Abilities to independently learn new technologies; prioritize tasks and take ownership; and meaningfully present results of analyses in a clear and impactful manner Experience developing deep learning models such as CNNs, Vision Transformers, or YOLO for image-based tasks in production systems. Proven research and practical experience in developing algorithms for image processing, content-based video/image analysis, object detection, segmentation and tracking Proven experience in fine-tuning LLMs for domain-specific use cases such as document analysis and operational efficiency. Master s in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science or related fields. iOS CoreImage/CoreML and native App development experience is a big plus. Experience deploying ML models in cloud environments (AWS, GCP, or Azure) for scalable production use. Preferred Qualifications Strong grasp of deep learning principles in both Computer Vision and Natural Language Processing (NLP). Familiarity with LLM architectures like BERT, GPT, and experience fine-tuning these models for improved performance in manufacturing settings. Knowledge of machine learning and Deep Learning libraries such as PyTorch, OpenCV, Hugging Face, is essential. Proven ability to implement, improve, debug, and maintain machine learning models. Familiar with version control systems such as Git. Strong optimization and debugging skills. Self-motivated, responsible, excellent written and verbal interpersonal skills. Experience with handling and visualizing very large data sets and creating performance reports.

About the Role: We are based in Gurgaon and looking for a Senior Computer Vision Engineer to join our team and help our team to improve and create new technologies. You'll work on projects which makes online assessment more secure and cheating proof. If you're a seasoned computer vision expert with a passion for innovation and a track record of delivering impactful solutions, we would be happy to meet you. Role : Senior Computer Vision Engineer Functional Area : AI Educational Qualification: BTech/MS/MTech/PhD in Computer Science/Computer vision/Signal Processing/Deep Learning or equivalent. Should have worked in an academic or professional setting in the field of computer vision/signal processing. Experience: 2-5 years Location : Gurgaon Key Responsibilities: Develop and optimize advanced computer vision algorithms for image and video analysis tasks. Design, implement and train deep learning models for object detection, face processing, activity recognition and other related tasks. Test and refine models and systems based on real-world data and feedback. Evaluate project requirements, plan and manage the roadmap of a project. Present findings and insights in a clear and concise manner to stakeholders. Collaborate and help to integrate and deploy computer vision systems into broader product architecture. Conduct research to stay updated on emerging computer vision technologies and trends. Automate data preprocessing and annotation processes to streamline workflow efficiency. Maintain comprehensive documentation for algorithms, implementations, and evaluations. Mentor junior engineers and provide strategic guidance on project development. Requirements and skills: Proficiency in Python and knowledge of C++, Java and JS is plus. Solid understanding of neural networks, especially convolutional neural networks (CNNs). Knowledge of RCNNs and vision transformers. Proficient in understanding, designing and implementing deep learning models using frameworks such as TensorFlow, PyTorch and Keras. Understanding of fundamental image processing techniques like image filtering, edge detection, image segmentation and image augmentation. Experience in evaluating computer vision models using relevant metrics and performance indicators. Familiarity with GPU and related technologies which is utilized for improved computational efficiency such as CUDA, CUDNN, tensorRT etc. Familiarity with Python libraries such as OpenCV, NumPy, Pandas and scikit-learn etc. Basic knowledge of linear algebra, calculus, and statistics. Strong critical thinking, analytical, and problem-solving skills Self-motivated, quick learner and strong team player with ability to work with minimal supervision.

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

Experience Level: 3-6 Years Education Level: BE/B.Tech/ME/ M.Tech (CS or ECE) B.Tech/M.Tech in Electronics/Computer Science At least 4 years work experience (B.Tech/MTech) in Computer Vision/Image Processing/Signal Processing/Machine Learning Candidate need to work form SRIB Bangalore with 3 days working from office is mandatory We are seeking a highly motivated and talented Data Scientist to join our dynamic team. This role is ideal for individuals with 3-6 years of experience who are passionate about machine learning, data science, and artificial intelligence. The successful candidate will work closely with our experienced engineers and data scientists to develop, implement, and improve machine learning models and algorithms that drive our products and services. Job Requirements Strong fundamentals in Signal Processing/Computer Vision, Machine Learning, Deep Learning Strong proficiency in python , C++ , Linux Fluency in data structures, algorithms Knowledge of embedded realization of ML models is a plus Prior experience with Deep learning frameworks such as Tensorflow/Pytorch Assist in the design, development, and implementation of machine learning models and algorithms. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Preprocess and analyze large datasets to extract meaningful insights and patterns. Perform data cleaning, feature engineering, and data augmentation to improve model performance. Conduct experiments to test hypotheses and evaluate the performance of different machine learning approaches. Implement and optimize machine learning pipelines for efficiency and scalability. Deploy machine learning models into production environments and monitor their performance. Document methodologies, processes, and results to ensure reproducibility and knowledge sharing. Stay up to date with the latest advancements in machine learning and related technologies. Job Description Use innovative ideas to continuously improve the solution to take them to the end-user Extensive quality evaluation and regression testing of the developed solution to meet strict quality guidelines Actively participate in design discussions to enhance end-to-end development of the solution Follow strict agile practices with regular code reviews, etc Excellent problem-solving skills and ability to think critically and creatively. Strong communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Internship or project experience related to machine learning or data science. A project portfolio with multiple real life projects (pet projects are welcome)

Job Title: Machine Learning Engineer (Computer Vision + GenAI) Location: Bangalore, India (Hybrid) Company: Factspan Analytics Client Industry: Retail / E-commerce About the Role We are looking for a highly skilled Machine Learning Engineer with a strong foundation in Computer Vision , NLP , and GenAI to join our team at Factspan. You'll work closely with a leading retail client to address a critical business challenge: identifying and resolving duplicate product listings across Marketplace and traditional sellers using AI-driven solutions. This role is central to helping the client clean up and scale their product catalog across 30+ categories, each with 10,000+ images. You'll be expected to build and productionize models that can intelligently compare product images and text descriptions to detect duplicates and inconsistencies, leveraging both traditional ML and the latest GenAI techniques. Key Responsibilities Build and deploy scalable Computer Vision pipelines to identify near-duplicate product images across millions of listings. Use Natural Language Processing to match product descriptions and titles with associated images. Leverage LLMs and multimodal GenAI models (e.g., BLIP, CLIP, LLaVA, Gemini, GPT-4V) to solve alignment problems between images and text. Design and implement MLOps and LLMOps pipelines for deploying both traditional ML models and GenAI solutions in production. Perform large-scale image embedding generation , storage, and similarity search using tools like FAISS , Milvus , or pgvector . Use BigQuery and write optimized SQL queries for data preprocessing and analytics. Collaborate with product managers, data engineers, and cloud architects to scale the solution across new product categories. Required Skills 6+ years of hands-on experience in Machine Learning or Data Science roles. Deep expertise in Computer Vision (image deduplication, embedding models, similarity search). Strong understanding of NLP with experience aligning image and text modalities. Exposure to Generative AI/LLMs and how they can be used in multimodal tasks. Experience deploying ML/GenAI models using MLOps/LLMOps best practices (CI/CD, monitoring, versioning). Proficient in Python , TensorFlow/PyTorch , OpenCV , and transformers libraries (e.g., Hugging Face). Familiarity with GCP ecosystem especially BigQuery , Cloud Storage , Vertex AI , Cloud Functions . Strong SQL skills and understanding of data pipelines. Previous experience growing from a Data Scientist role is highly desirable. Good to Have Hands-on with Vector Databases like Milvus, Pinecone, or pgvector. Knowledge of retrieval-augmented generation (RAG) pipelines for GenAI solutions. Familiarity with tools like LangChain , Unstructured.io , or Haystack . Understanding of image compression, image hashing, and perceptual similarity techniques. Why Join Us Work on a high-impact retail AI problem at enterprise scale. Collaborate with a forward-thinking client open to innovation. Join a team where your work directly translates to business value. Flexible hybrid working model in Bangalore with a passionate AI team. Ready to create innovative solutions with computer vision, NLP, and GenAI in retail? Apply now by sending your resume and cover letter to sathishkumar.arumugam@factspan.com.

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. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Lead the implementation of AI and ML solutions. Stay updated on the latest AI and ML technologies. Mentor junior team members. Professional & Technical Skills: Must To Have Skills:Proficiency in Google Cloud Platform Architecture. Strong understanding of AI and ML concepts. Experience with deploying AI models in production environments. Hands-on experience with deep learning and neural networks. Knowledge of chatbots and image processing. Additional Information: The candidate should have a minimum of 5 years of experience in Google Cloud Platform Architecture. This position is based at our Coimbatore office. A 15 years full-time education is required. Qualifications 15 years full time education

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. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : Total 15 years of full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. Design, develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline using python. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Ensure proper cloud application pipeline with production-ready quality. Professional & Technical Skills: Must To Have Skills:CCAI hands on experience and generative AI understanding. Good To Have Skills:Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms and techniques. Experience with chatbot , generative AI models, prompt Engineering. Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 4 -7.5 years of experience in Google Cloud Machine Learning Services and overall experience 7.5 - 9 years The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualifications Total 15 years of full time education

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. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BE Summary :As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models, developing deep learning and neural network models, and working on chatbots and image processing using machine learning techniques. Roles & Responsibilities: Develop and deploy AI models using machine learning techniques such as deep learning, neural networks, and chatbots. Collaborate with cross-functional teams to develop and implement AI solutions that meet business requirements. Apply GenAI models as part of the solution and ensure proper cloud or on-prem application pipeline with production-ready quality. Stay updated with the latest advancements in AI and machine learning, integrating innovative approaches for sustained competitive advantage. Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. Professional & Technical Skills: Must To Have Skills:Strong experience in Machine Learning. Good To Have Skills:Experience with deep learning, neural networks, chatbots, and image processing. Experience with Cloud AI services and tools. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools. Experience in developing and deploying AI models in a production environment. Additional Information: The candidate should have a minimum of 5 years of experience in Machine Learning. The ideal candidate will possess a strong educational background in AI/ML Computational Science, Data & AI, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Mumbai office. Qualification BE

About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do are: -Work closely with the business stakeholders -Transform scattered pieces of information into valuable data -Share and present your valuable insights with peers What You Will Do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What You Will Need Bachelor's/Master's degree in computer science (or similar degrees) 2-4 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning, etc Familiarity with tools like SQL, R, Python, etc. Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: -Experience in working on personalization or other ML problems -Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

EDUCATE TO ELEVATE TRUST JOIN OUR TEAM AS A ROBOTICS TRAINER Company Description Robotex India is a non-profit organization that provides STEAM, Robotics, Artificial Intelligence, Machine Learning, and IoT education to urban, tribal, and rural students in private and government schools across India. We believe that every child in India deserves the opportunity to learn digital skills and become part of an innovative and intellectual India. Robotex India organizes the annual Robotex Championships in India and on an international level. These events inspire engineers, students of all ages, and executives to innovate, explore new startups, build robots, and learn new skills with new technologies. Role Description Robotex India is seeking a full-time Technical Trainer. As a Technical Trainer, you will: Leverage Modern Technology in Education: Utilize contemporary technological tools and methods to enhance educational experiences. Work Independently: Demonstrate self-discipline and a proven track record of meeting tight deadlines without supervision. Communicate Effectively: Possess excellent verbal and written communication skills, capable of explaining technical concepts to diverse learners. Manage Training Schedules: Efficiently handle training schedules and juggle multiple projects simultaneously. Key Responsibilities Develop and deliver comprehensive training programs in STEAM, Robotics, AI, ML, and IoT. Adapt training methods to cater to different learning styles and proficiency levels. Evaluate training outcomes and implement improvements to enhance effectiveness. Troubleshoot technical issues during training sessions and provide clear explanations. Technical Skills 1.Programming Languages: Proficiency in C, C++, and Python. 2.Microcontrollers: Deep understanding of Arduino, ESP32, and Raspberry Pi applications. 3.Logic and Implementation: Strong knowledge of coding logic and implementation strategies. 4.PID Control Systems: Experience in designing and implementing PID control systems. 5.Training Design: Ability to create engaging and effective training programs. 6.Troubleshooting: Strong problem-solving skills during training sessions. 7.Complex Concept Communication: Clear and concise communication of complex technical concepts. 8.Adaptability: Flexibility in adjusting training methods and content based on feedback. 9.Evaluation and Improvement: Continual assessment and refinement of training programs to ensure high-quality outcomes. Education Bachelor's degree in Engineering (BTech, Mechanical Engineering, Electrical Engineering) or related fields. Relevant certifications in Robotics, AI, ML, or IoT are a plus. Educate to Elevate, Khopkar Heights, Opposite YMCA, Quarter Gate, Rasta Peth, Pune Camp 411011

Were building a next-gen AI-powered self-service image editing platform for eCommerce brands and product photographers. The platform allows users to upload product images and generate or edit lifestyle visuals using advanced AI tools all within a clean and intuitive web interface. We have an R&D engineer handling AI pipelines (Stable Diffusion, BLIP, background removal, etc.). We re now looking for a full-stack engineer to build the core product: frontend, backend integration, and orchestration across microservices. 5+ years of relevant experience would be a preference. Responsibilities Develop a responsive frontend with professional-grade image editing tools (resize, relight, erase, replace, etc.) Build a Python-based backend (FastAPI or Django) with modular microservices Orchestrate image processing workflows using internal AI APIs provided by our R&D team Implement user authentication, file storage, batch tools, and subscription flows Use Kubernetes for container orchestration on our in-house infrastructure Handle image job processing with Celery + Redis Required Skills Frontend: React.js / Next.js, Tailwind CSS, image manipulation libraries (Fabric.js, Konva.js, or Canvas API) Backend: FastAPI / Django, PostgreSQL or MongoDB, Redis, Celery DevOps: Docker, Kubernetes (on bare metal or custom infra), GitHub Actions Architecture: Experience with scalable microservice systems Experience building SaaS products with user flows, media handling, and billing

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. Must have skills : Large Language Models Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems 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. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Lead the implementation of large language models in AI applications. Research and apply cutting-edge AI techniques to enhance system performance. Contribute to the development and deployment of AI solutions across various domains. Professional & Technical Skills: Must To Have Skills: Proficiency in Large Language Models. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 12 years of experience in Large Language Models. This position is based at our Hyderabad office. A 15 years full-time education is required. Qualification 15 years full time education

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. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya Integrate with IVR systems and Proficiency in webhook setup and API integration. Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline using python. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. Document technical designs, processes, and setup for various integrations. Experience with programming languages such as Python/Node.js Professional & Technical Skills: Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms and techniques. Experience with chatbot, generative AI models, prompt Engineering Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 7 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. A 15-year full time education is required Qualification 15 years full time education

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. Must have skills : Natural Language Processing (NLP) Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems 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. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Lead the implementation of NLP algorithms for text analysis. Design and develop NLP models for sentiment analysis. Optimize NLP models for performance and scalability. Professional & Technical Skills: Must To Have Skills: Proficiency in Natural Language Processing (NLP). Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 12 years of experience in Natural Language Processing (NLP). This position is based at our Bengaluru office. A 15 years full-time education is required. Qualification 15 years full time education

We are seeking an experienced Data Science Engineer with 5-7 years of experience to design and implement advanced AI/ML solutions. The role focuses on developing AI applications and developing cloud-native solutions. You will work on: We are looking for self-driven Data Professional to be a key member of our Data & AI Practice. We help many of our clients make sense of their large investments in data be it building analytics solutions or machine learning applications or Generative AI based solution. You will work on cutting edge cloud-native technologies to build meaningful insights. Job Location: Pune What you will do (Responsibilities): Perform high-level work both independently and collaboratively as a project member or leader on multiple projects. Collaborate with Product Management team, elicit AI/ML use case specific requirements, explore and evaluate approaches Own the end-end process, from recognizing the problem to implementing the solution Develop Computer Vision, NLP, Machine learning, Deep Learning, Gen AI based applications & demos according to the requirements and needs. Select appropriate datasets and data representation methods. Explore new tools, technologies, frameworks in ML, DL, Gen AI technologies and experiments. Keep abreast of developments in the field. Mentor, guide junior team members What you bring (Skills): 5-7 years of end to end project lifecycle experience (Analysis, Design, Development, Testing, Deployment & Monitoring) in building enterprise grade AI applications Sound knowledge in Linear Algebra, Statistics, Probability Strong Knowledge & Experience in Python and Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK etc. Experience in various ML Algorithms (like KNN, SVM, Regression, Decision Trees, K-Means, Naive Bayes, GBM and Decision Forests etc) Familiarity with deep learning, machine learning and NLP/NLG frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, CoreNLP etc.) Proficiency in designing, training, and deploying deep learning models for computer vision tasks. Experience with image processing, filtering, object detection frameworks (e.g., YOLO, Faster R-CNN, Mask R-CNN), image segmentation techniques (semantic, instance, panoptic), and image classification. Experience in Generative AI /LLM s frameworks, tools & technologies Experience in Prompt Engineering & Langchain / LlamaIndex, Vector search, RAG frameworks, Function Calling, Agentic Frameworks, Document Processing Experience in Cloud-based services such as AWS (Primary), Azure or GCP Understanding of how to operationalize these models to run in an automated context Strong development experience using Python and SQL (including DB Design & Complex query optimizations). Experience with async programming and RESTful APIs (FastAPI) Sound understanding of CI-CD, Containerization & Orchestration Excellent analytical, problem solving and communication skills Great if you know (Skills): Experience with Scrum and/or other Agile development processes Exposure to MlOps, LLMOps model and experiment versioning, hyper parameter tuning, model deployment and monitoring aspects Sound understanding of data visualization aspects Ability to lead R&D and POC efforts . Experience in pre-sales is desirable. A track record of delivery within a number of large-scale projects, demonstrating ownership of architecture solutions and managing change Experience in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources Advantage Cognologix: A higher degree of autonomy, startup culture & small teams Opportunities to become an expert in emerging technologies Remote working options for the right maturity level Competitive salary & family benefits Performance based career advancement About Cognologix: Cognologix helps companies disrupt by reimagining their business models and innovate like a Startup. We are at the forefront of digital disruption and take a business-first approach to help meet our client s strategic goals. We are a Data focused organization helping our clients to deliver their next generation of products in the most efficient, modern, and cloud-native way. Minimum Experience: 5-7 Years Top Skill: Data, AI, Python, Generative AI/LLM s frameworks, ML Algorithms You have successfully applied You have errors in applying Social Network and Web Links Provide us with links to see some of your work (Git/ Dribble/ Behance/ Pinterest/ Blog/ Medium)

Job Requirements We are seeking a highly skilled and experienced Product HW Validation Engineer to join our team. The successful candidate will be responsible for validating camera modules in smart wearables, ensuring they meet the required specifications and quality standards. The ideal candidate will have experience with Ima Test, camera precision and alignment testing using hexapod, and other relevant tools and techniques. Work Experience Key Responsibilities: Validate camera modules in smart wearables to ensure they meet the required specifications and quality standards Design and develop test plans, test cases, and test scripts to validate camera module performance Conduct Ima Test and other relevant tests to evaluate camera module image quality and performance Use hexapod and other specialized equipment to perform camera precision and alignment testing Analyze test results, identify defects, and provide feedback to the design and development teams Collaborate with cross-functional teams, including hardware design, software development, and manufacturing, to resolve issues and improve product quality Develop and maintain technical documentation, including test reports, test procedures, and technical notes Stay up-to-date with industry trends and emerging technologies in camera module validation and testing Requirements: Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field 5+ years of experience in product HW validation, preferably in the consumer electronics industry Strong knowledge of camera module technology, including image sensors, lenses, and optical systems Experience with Ima Test and other relevant testing tools and techniques Familiarity with hexapod and other specialized equipment used in camera precision and alignment testing Excellent analytical and problem-solving skills, with the ability to interpret complex data and draw meaningful conclusions Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams Ability to travel occasionally, as needed Nice to Have: Experience with smart wearable devices and their camera modules Knowledge of computer vision algorithms and machine learning techniques Familiarity with scripting languages, such as Python or MATLAB Experience with automation frameworks and tools, such as Selenium or Appium Certification in a relevant field, such as ISTQB or CSTE What We Offer: Competitive salary and benefits package Opportunity to work on cutting-edge products and technologies Collaborative and dynamic work environment Professional development and growth opportunities Flexible working hours. If you are passionate about camera module validation and testing, and have the skills and experience we are looking for, please submit your application, including your resume and a cover letter, to [insert contact information].

Career Opportunity in Academia Assistant Professor (CSE), Dehradun Position: Assistant Professor – Computer Science Location: Dehradun Department: Computer Science & Engineering Are you a passionate educator , an innovative researcher , and a technology enthusiast ready to inspire the next generation of tech leaders? Here’s your chance to become part of a reputed engineering institute offering a thriving academic environment nestled in the scenic foothills . What You’ll Do Inspire Minds: Deliver engaging lectures, interactive tutorials, and hands-on learning for B.Tech and M.Tech programs in Computer Science & Engineering (CSE). Mentor Innovators: Guide student research projects, capstones, and dissertations with a focus on emerging technologies . Lead Research Excellence: Conduct impactful research in trending domains like AI/ML, Data Science, Cybersecurity, IoT, Cloud Computing , etc., and publish in SCI/Scopus-indexed journals . Collaborate & Contribute: Partner with fellow faculty on interdisciplinary research , tech symposiums , hackathons , and departmental initiatives. Innovate in Education: Adopt modern teaching tools , contribute to curriculum design , and support Outcome-Based Education (OBE) practices. What We’re Looking For Qualifications: B.Tech, M.Tech, and Ph.D. in Computer Science, Information Technology, or a related discipline. Experience: 0–3 years of academic or industry-research experience . Fresh Ph.D. holders with strong research credentials are encouraged to apply. Research Profile: Minimum 2 publications in peer-reviewed journals (preferably SCI/Scopus/UGC CARE listed ). Exposure to funded projects , patents , or conference presentations is a plus. Who You Are A dedicated academic professional with a strong grounding in Computer Science fundamentals. A mentor who thrives on student engagement , innovation , and collaborative learning . An effective communicator passionate about teaching pedagogy and simplifying complex concepts. A team player with a growth mindset and interest in contributing to a vibrant campus culture . Why Join Us? Be a part of a NAAC-accredited, AICTE-approved institution that values teaching excellence , research innovation , and faculty development . Access to state-of-the-art labs , smart classrooms , and an evolving tech ecosystem . Work with diverse, like-minded faculty in a collaborative, intellectually stimulating environment .

Sony is looking for a Deep Learning engineer who has strong knowledge and experience in design and development of Deep learning models according to business objectives. In this role, the candidate must analyse the requirements, prepare design and implement Deep Learning solutions. This requires a sound understanding of ML and Deep Learning fundamentals, libraries and frameworks, end-to-end ML development pipeline. Literature survey of SOTA models as per business requirements and AS-Is reproduction of Deep Learning models. Design and development of CNN models according to the business objective, along with metrics to track their progress. Optimize the CNN models in terms of trainable parameters and MAC operations to meet the target platform. Debug the intermediate as well as final layer output of trained model using various explainable AI methods. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world and Evaluation approaches for model development Training models and tuning their hyperparameters Analysing the errors of the model and designing strategies to overcome them Skills set required: Advanced Python Programming Image processing using OpenCV. Keras, TensorFlow Good to have skills: Deep knowledge of math, probability, statistics and algorithms CNN Development Advanced OOPS concepts Roles and Responsibilities 1. Analyse customer requirements Design and Implement features requested by customer Verify, finetune solution and model and artefacts Validation of quality as per requirements 2. Customer communication 3. Also mentor junior members and ensure quality of deliverables in the project

Immediate opening for "Computer Vision AI Architect" Location :- Remote Experience :- 15 to 23 yrs Quantaleap INC. is seeking a seasoned Computer Vision AI Architect to lead solutioning and proposal efforts for utility and grid inspection projects. The ideal candidate will have a strong background in image analysis, machine learning, and aerial or facility inspection use cases. This role involves working closely with presales teams and contributing to RFP responses through technical leadership and innovative vision solutions. Key Responsibilities: Architect and design AI-based computer vision solutions for utility and infrastructure inspections. Analyze aerial and static imagery for inspection, anomaly detection, and image comparison tasks. Collaborate with presales and proposal teams to provide technical solutioning for RFPs. Generate visual inspection reports and present actionable insights. Ensure solution feasibility and scalability for deployment across client environments. Work Indian business hours with some required overlap with PST time zone. Must-Have Skills: Expertise in Computer Vision, Image Processing, and Image Comparison Proficiency in Machine Learning frameworks and model development Experience in Aerial and Facility Inspection use cases Strong background in RFP solutioning and presales technical support Excellent communication and reporting skills Interested can share their updated resume to anitha.mudaliyar@quantaleap.com

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Excellent Design verification domain expertise of min 3 years upto 6 years. Develop test strategy, TB architecture and test plan for new IP"™s/new features Develop strategies for re-useable, scalable and enhance Sub system level verification environment Excellent C/System Verilog/Verilog skills to handle C based TB environment Strong skills in debug, post silicon debug-failure re-creation and root cause analysis Scripting proficiency - PERL, Python, for developing applicable automation AMBA, AXI bus protocols Power intent verification, GLS etc. Capable of communicating effectively with all stakeholders across the globe Capable of seeding a new team for new IPs, able to hire and expand the team in expertise and efficiency Capable of mentoring the team members for their career growth, maintaining diversity in the team, collaborating with other leads and managing multiple parallel projects Take initiatives to enable various ideas for improving efficiencies. Good to have Image Processing, DSI/DP/HDMI Protocols Good knowledge of new methodologies, flows and tools to be incorporated. Formal Verification

We are seeking a skilled Python TechLead with a strong interest in artificial intelligence and machine learning. Position Python/ML developer Tech Lead ( IMMEDIATE JOINERS PREFERRED) Experience 5 + years No of positions 1 Location Chennai, India Key Skills & Responsibilities Key Skills: Python, Python Flask, NLP (Content extraction), Pandas, OCR, Deep Learning, OpenCV, Tesseract, Computer Vision (Image Processing), TensorFlow, PyTorch, Keras, Scikit- learn, Paddle, ML, ML Algorithms, Neural Networks (CNN), Git, CI/CD, Cloud Experience (Any) Must Have Skills: Proficiency in Python programming language. Minimum 4+ years of hands-on experience in python and ML Strong background in machine learning algorithms and frameworks. Understand the requirements and objectives of the assigned projects Recommend appropriate approaches and technologies to deploy to achieve the objectives Iterate the development process to improve effectiveness of the models Implement parallel processing and other techniques to enhance processing speed Deep understanding of data extraction with Computer Vision and Deep learning libraries Excellent problem solving and analytical skills Ability to understand project requirements and objectives, and translate them into actionable development tasks Effective communication with stakeholders to provide technical insights and project updates Ability to lead and mentor a team of developers, ensuring adherence to best practices and coding standards Strong project management skills, including task prioritization, resource planning, and risk management Nice To Have Skills: Experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with natural language processing (NLP) techniques. Previous work on computer vision projects Demonstrated experience and success in computer vision and text extraction projects

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

Job Summary: We're seeking an experienced AI Engineer to develop and integrate cutting-edge AI solutions into our product. The ideal candidate will have expertise in machine learning, deep learning, and software development. Collaborating with our Product Manager, you'll design, implement, and optimize AI-driven solutions to enhance our application. Key Responsibilities: Develop and integrate AI models and algorithms Collaborate with cross-functional teams (Product, Engineering, Design) Optimize AI models for performance, scalability, and efficiency Ensure seamless integration with existing infrastructure Troubleshoot and resolve AI-related issues Stay updated on AI trends, technologies, and best practices Requirements: Bachelor's/master's degree in computer science, AI, or related fields 5+ years of experience in AI/ML development Proficiency in Python, Deep Learning, TensorFlow, PyTorch, or similar frameworks Experience with machine learning libraries and expertise in Natural Language Processing (NLP) and Computer Vision tools. Familiarity with cloud platforms (AWS, GCP, Azure) Knowledge of containerization (Docker) and orchestration (Kubernetes) Nice to Have: Experience with AI-specific tools and frameworks Familiarity with agile development methodologies Knowledge of DevOps practices Certification in AI/ML (e.g., TensorFlow Certified Developer) Role & responsibilities

Zycus is looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning, Pattern Recognition, Natural Language Processing, Computational Linguistics, Statistical Modelling, Inferencing, Information Retrieval, Large Scale Distributed Systems, Cloud Computing, Econometrics, Quantitative Marketing, Applied Game Theory, Mechanism Design, Operations Research, Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply. We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you. All successful candidates are expected to dive deep into problem areas of Zycus interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization. Role & responsibilities Act as a technical thought leader in collaboration with the analytics leadership team, helping to set the strategy and standards for Machine Learning and advanced analytics Work with senior leaders from all functions to explore opportunities for using advance analytics Provide technical leadership, coaching, and mentoring to talented data scientists and analytics professionals Guide data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies Guide the work of other Machine learning team members to provide support and assistance, while also ensuring quality Preferred candidate profile Experience in predictive modelling and predictive software development Skilled at Java, C++, Perl/Python (or similar scripting languages) Experience in using R, Matlab, or any other statistical software Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications Strong communication and data presentation skills Classification (svm, decision tree, random forest, neural network) Regression (linear, polynomial, logistic, etc) Classical Optimization(gradient descent, newton raphson, etc) Graph theory (network analytics) Heuristic Optimization (genetic algorithm, swarm theory) Deep learning (lstm, convolutional nn, recurrent nn) Perks and benefits Five Reasons Why You Should Join Zycus Cloud Product Company : We are a Cloud SaaS Company and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS and we are developing our mobile apps using React. A Market Leader : Zycus is recognized by Gartner (world's leading market research analyst) as a Leader in Procurement Software Suites. Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization Get a Global Exposure: You get to work and deal with our global customers. Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features.