1079 Image Processing Jobs - Page 42

Roles & Responsibilities: Design, develop, and optimize computer vision models for tasks like object detection, image segmentation, and video analysis. Implement machine learning algorithms and techniques using Python frameworks (e.g., TensorFlow, PyTorch, OpenCV). Preprocess and augment image/video datasets for model training and testing. Perform exploratory data analysis to extract insights and refine data pipelines. Collaborate with DevOps and engineering teams to deploy machine learning models into production environments. Set up monitoring and performance evaluation for deployed models. Contribute to CI/CD pipelines for AI workflows. Work closely with cross-functional teams, including data scientists, engineers, and product managers, to align on project goals. Document processes, models, and experiments effectively. Requirements: Proficiency in Python and popular AI/ML libraries (TensorFlow, PyTorch, Scikit-learn, OpenCV). Strong understanding of computer vision concepts such as feature extraction, image classification, and object detection. Hands-on experience in developing and training deep learning models for image and video data. Basic knowledge of MLOps practices, including model deployment (e.g., Docker, Kubernetes) and monitoring. Familiarity with version control systems like Git. Experience with cloud platforms (e.g., AWS, GCP, Azure) for AI/ML workloads.

We re seeking a DevOps Engineer with hands-on experience managing GPU infrastructure, Kubernetes, and hybrid cloud environments (bare-metal, AWS, GCP). You ll work closely with AI researchers and full-stack developers to build and scale the infrastructure that powers our image-processing microservices. Responsibilities Manage and optimize Kubernetes clusters across bare-metal servers, AWS (EKS), and GCP (GKE) Deploy and maintain GPU-enabled workloads for AI inference and training (NVIDIA drivers, nvidia-docker, MIG configs) Create and maintain CI/CD pipelines (GitHub Actions, ArgoCD, etc.) to automate deployments and model rollouts Implement scalable, fault-tolerant infrastructure for AI microservices, using Celery, Redis, and FastAPI Monitor system performance, resource utilization (CPU/GPU), and model latency Set up and manage persistent storage (MinIO, S3), secrets, and config maps securely Develop monitoring and alerting systems for both infrastructure and AI pipelines Collaborate with AI engineers to support experimentation, benchmarking, and model updates Required Skills Solid experience with Kubernetes, particularly in GPU scheduling and resource management Experience deploying and tuning AI/ML workloads on GPUs (NVIDIA Docker, CUDA stack, drivers) Comfortable managing hybrid cloud infrastructure: bare-metal servers, AWS, and GCP Deep knowledge of Docker, Helm, Strong scripting skills (Bash, Python) for automation and tooling Experience with Redis, Celery, and handling message queues or background job systems Tech Stack Infra: Docker, Kubernetes, Helm, Terraform, GitHub Actions Cloud: AWS (EKS, EC2, S3), GCP (GKE, Compute), Bare-Metal Servers AI Ops: NVIDIA Docker, CUDA, Celery, Redis, FastAPI Storage: MinIO, AWS S3, Persistent Volumes

Job Description: We are seeking a skilled AI Testing Specialist to join our team. The ideal candidate will have experience in testing AI-based applications and systems, with a strong understanding of AI/ML concepts, testing methodologies, and project management skills. Responsibilities: Collaborate with the AI test team to plan and execute test plans, test cases, and test scenarios for AI systems. Implement quality assurance standards to ensure the accuracy, reliability, and performance of AI solutions. Design and implement benchmarking tests to evaluate AI system performance against industry standards and competitors. Develop, execute, maintain, and enhance automated test frameworks and scripts dedicated to AI component testing. Accurately report and track defects and issues related to AI testing, including writing detailed bug reports and verifying fixes in collaboration with the development team Analyze benchmarking results to identify strengths, weaknesses, and areas for improvement in AI algorithms and models Expand knowledge in testing deep learning algorithms and model families. Required Skills Proficiency in Python and related packages for image processing, data processing, and automation testing. Familiarity with machine/deep learning frameworks like TensorFlow, Keras, or PyTorch. Understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC), with a focus on AI-specific testing phases and activities. Experience in testing AI-driven applications across diverse platforms. Experience in API testing using tools like Postman. Knowledge of tools like Neptune, Weights and Biases, PyTorch Ignite, TensorFlow Model Analysis (TFMA), and DeepDetect. Qualification: Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or related fields. 1-3 years of experience in AI testing, deep learning, or quality assurance. ISTQB Certified Tester. ISTQB Certified AI Tester. Preferred Qualifications: Proficiency in machine learning pipelines and Continuous Integration/Continuous Deployment (CI/CD) pipelines tailored for AI development and testing workflows. Knowledge of advanced image processing algorithms. Experience with cloud computing platforms such as AWS or Azure, particularly in the context of testing AI solutions in cloud environments. Strong statistical analysis skills to evaluate model performance, validate results, and identify potential issues during AI testing.

Job Title:Artificial Intelligence Engineer Experience8-12 Years Location:Bangalore : Algorithm Development**Design and implement algorithms, neural networks, and other machine learning techniques to simulate human intelligence processes. Model Creation**Develop and validate algorithms, neural networks, and other machine learning models. Generative AI**Specialize in generative AI, which involves creating AI systems that autonomously generate content such as text, images, and music. Machine Learning**Leverage your expertise in machine learning to train models on large datasets and optimize them for creative content generation. Natural Language Processing (NLP)**Apply NLP techniques for text generation projects, including text parsing, sentiment analysis, and the use of transformer models like GPT. Data Management**Handle data pre-processing, augmentation, and synthetic data generation. Qualifications To excel in this role, you should possess the following skills: Hard Skills 1. **Advanced Programming**Proficiency in programming languages such as Python, along with AI-centric libraries like TensorFlow, PyTorch, and Keras. 2. **Generative Models**Expertise in generative models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). 3. **NLP**Familiarity with NLP techniques for text generation. 4. **Data Management**Knowledge of data pre-processing, augmentation, and synthetic data generation. Soft Skills 1. **Creativity**Ability to think creatively and solve complex, creative challenges using AI. 2. **Collaboration**Work effectively with researchers, engineers, and other team members. 3. **Continuous Learning**Stay updated with evolving AI technologies and applications. Qualifications - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related fields. - Proven experience in machine learning, generative AI,

Role Summary: The Technical Lead/Manager will be responsible for leading the AI CoE team, driving the implementation of AI-powered solutions for the organization. They will coordinate across multiple teams, work closely with stakeholders, and oversee the technical aspects of AI/ML projects, ensuring the effective application of generative AI technologies to the product suite. Key Responsibilities: Lead the AI CoE team, ensuring alignment with business objectives. Oversee the design, development, and deployment of AI/ML models for financial use cases. Work closely with product managers and business stakeholders to understand requirements and deliver actionable AI solutions. Provide guidance and mentorship to junior team members. Manage project timelines, resources, and risk assessments. Collaborate with Data Engineers, AI/ML Engineers, Full Stack Engineers, and QA Engineers to ensure smooth integration of AI solutions. Stay updated with advancements in AI/ML technologies and best practices. Required Experience: 8-12 years of experience in AI/ML technologies, with at least 3 years in a leadership role. Strong background in AI/ML model development and deployment, particularly in the financial services sector. Proficient in Python, R, and other AI-related programming languages. Experience managing cross-functional teams in an Agile environment. Strong understanding of data science, cloud computing, and AI/ML frameworks (e.g., TensorFlow, PyTorch, etc.). Tech Specifics: Programming Languages: Expert-level proficiency in Python (e.g., NumPy, Pandas) and R for AI/ML development; familiarity with Scala is a plus. AI/ML Frameworks: Hands-on experience with TensorFlow, PyTorch, and Scikit-learn for building and optimizing models; exposure to Hugging Face for NLP/Generative AI tasks. MLOps Tools: Strong command of Docker and Kubernetes for containerization, and Jenkins or GitHub Actions for CI/CD pipelines. Cloud Platforms: Deep expertise in AWS (e.g., SageMaker, Lambda), Azure (e.g., Machine Learning Studio), or GCP (e.g., AI Platform, BigQuery) for scalable model deployment. Big Data Technologies: Working knowledge of Apache Spark or Hadoop for processing large financial datasets. Database Skills: Proficiency in SQL and experience with NoSQL databases like MongoDB or Cassandra for data integration. Generative AI: Practical experience with models like GPT, LLaMA, or BERT for applications such as automated reporting or customer chatbots.

Visionify.ai is looking for Computer Vision / AI Engineer (Intern) to join our dynamic team and embark on a rewarding career journey Designing and developing AI algorithms and models to solve specific business problems Creating and maintaining databases for storing and processing large amounts of data Developing and deploying machine learning and deep learning models Implementing and integrating AI solutions with existing systems and software Analyzing and interpreting complex data sets to extract insights and drive decision-making Collaborating with cross-functional teams to develop and deploy AI applications Ensuring the security and privacy of data used in AI applications Communicating and presenting technical information to non-technical stakeholders Excellent communication skills & attention to detail Join our team to help develop and implement computer vision and AI algorithms for safety applications in industrial environments. Requirements: BS/MS in Computer Science, AI, or related field

Responsibilities: As a developer in the team located in Bangalore, you will develop and integrate algorithm components for CT applications by taking care of all aspects of software engineering, from design and implementation, through testing and documentation of API and design, to integration into the various medical devices. You will be responsible for optimizing the algorithms for current hardware. You will also need to help with software integration and the development of new feature prototypes for the applications focusing on the algorithm aspects. You will work with international colleagues across various development sites. Experience/Job Requirements: You have a professional degree in Computer Science or a related subject. You have 6 to 10 years of relevant software development experience. Through your previous professional career, you have acquired an extensive programming experience in C++ must and C++/CLI desirable. Optionally, you have a basic exposure to C#. You have gained advanced skills in performance analysis and optimization. Experience and exposer to image processing is must, experience in medical imaging is desirable and exposure to artificial intelligence will be a bonus. You have at least a decent experience in guiding and supporting external business partners. You have a high customer and result orientation. You have a creative and independent way of working as well as communication skill that can help you to successfully solve complex development tasks with multiple interfaces.

Bachelor's/Master's degree in computer science (or similar degrees) 2-4 years of experience as a Data Scienti st in a fast-paced organizati on, preferably B2C Familiarity with Neural Networks, Machine Learning, etc Familiarity with tools like SQL, R, Python, etc. Strong understanding of Stati sti cs and Linear Algebra Strong understanding of hypothesis/model testi ng and ability to identi fy common model testi ng errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analyti cal 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 personalizati on or other ML problems -Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshif if interested please contact at deblina.s@wengerwatson.com

Role –Senior Gen AI Engineer Location - Chennai - CKC Mode of Interview - In Person Data - 7th June 2025 (Saturday) Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

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

Responsibilities: As a developer in the team located in Bangalore, you will develop and integrate algorithm components for CT applications by taking care of all aspects of software engineering, from design and implementation, through testing and documentation of API and design, to integration into the various medical devices. You will be responsible for optimizing the algorithms for current hardware. You will also need to help with software integration and the development of new feature prototypes for the applications focusing on the algorithm aspects. You will work with international colleagues across various development sites. Experience/Job Requirements: You have a professional degree in Computer Science or a related subject. You have 6 to 10 years of relevant software development experience. Through your previous professional career, you have acquired an extensive programming experience in C++ must and C++/CLI desirable. Optionally, you have a basic exposure to C#. You have gained advanced skills in performance analysis and optimization. Experience and exposer to image processing is must, experience in medical imaging is desirable and exposure to artificial intelligence will be a bonus. You have at least a decent experience in guiding and supporting external business partners. You have a high customer and result orientation. You have a creative and independent way of working as well as communication skill that can help you to successfully solve complex development tasks with multiple interfaces.

Role & responsibilities Phd with 6 yrs industry exp or M.Tech + 8 yrs experience or B.tech + 10 yrs experience. -Minimum 3 yrs experience working as a Manager (only Lead experience will not qualify). -8 years experience in any of the programming languages such as Python/C++/CUDA. -8 years experience in Machine learning, Artificial intelligence, Deep learning & Computer vision. -5 years exp in Image processing -Product Company Experience is a MUST. Candidates from engineering product companies are higher chances of select. - Candidates from Tier 1 colleges like (IIT, IIIT, VIT, NIT)(Preferred) -No job hoppers(candidate must have good stability- min 2 years in an organisation) Preferred candidate profile Candidates from Semicon or manufacturing companies Candidates with more than 8 CPGA Relocation Expenses: Available. 3 day working from office. Can source from anywhere ( even international candidates )who are willing to relocate.

Description: We are looking for a Malayalam Transcription Specialist to join our growing team. This role involves converting spoken Malayalam audio into well-structured and grammatically accurate written text. If you have a strong command over the Malayalam language and an eye for detail, this is an excellent opportunity — especially for fresh graduates or postgraduates in Malayalam. Requirements: Graduate or Postgraduate in Malayalam (mandatory). Strong command over spoken and written Malayalam with grammatical accuracy. Excellent listening skills and attention to detail. Good typing speed and accuracy (training will be provided). Ability to work with different accents and varied audio content. Comfortable with rotational and night shifts. Job Responsibilities: Accurately transcribe Malayalam audio recordings into written text. Ensure proper grammar, punctuation, and formatting standards are followed. Review and edit transcripts to maintain clarity, accuracy, and completeness. Understand and capture tone, context, and cultural nuances in the transcription. Work with transcription tools to ensure efficient delivery. Provide quality assurance and feedback where necessary. Collaborate with peers to enhance processes and maintain consistency. What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

Title: Manager Ops - International Process (Content Moderations) Role Summary: We are seeking a Manager to manage a dynamic team of 50-100 members in an International Process. The ideal candidate will have experience handling BPO operations, including performance management, coaching, and improving overall team productivity and quality. This role requires excellent leadership skills to guide team members, manage performance, and ensure alignment with business goals. What You Would Be Doing: Team Management & Performance : Oversee and manage the teams productivity, quality, shrinkage, and attrition to ensure all targets are met. Coaching & Development : Provide coaching and mentorship to new team members to improve performance, skills, and customer satisfaction (CSAT). Process Review & Improvement : Analyze existing processes, make recommendations for improvements, and implement strategies to enhance overall team performance and CSAT. Training Needs Identification (TNI) : Identify gaps in knowledge or processes and address them through targeted training and development. Monitoring & Coaching : Conduct weekly performance reviews and one-on-one coaching to support team members in meeting their goals. Floor Support & Escalation Management : Offer floor support and address escalations in real-time to ensure smooth operations. Target Achievement : Manage and drive the team towards achieving individual and team performance targets (IC targets). AHT Management : Ensure that Average Handle Time (AHT) is maintained within the specified target levels across different tenure buckets. Process Adherence & Compliance : Ensure that all processes are followed, and performance metrics are adhered to consistently. Skills & Experience: Experience : Previous experience in handling an international process is a must. Team Management : Proven experience in managing a team of 50-100 members, with the ability to guide, motivate, and manage team performance. Supervisory Skills : Strong supervisory and leadership skills to effectively manage subordinates and drive results. Communication Skills : Excellent written and verbal communication skills in English, with the ability to present and report effectively. Technical Skills : Basic knowledge of computers and proficiency in MS Excel. Methodical & Organized : Ability to stay organized, methodical, and manage multiple tasks and priorities effectively. Flexible : Ability to work in a 24/7 environment, including flexibility for shifts. Work Environment : 5 days working, Work From Office (WFO). What's Expected: Strong leadership and ability to drive team performance in a fast-paced environment. Excellent coaching and mentorship abilities to improve team skills and performance. Effective in handling escalations and providing floor support. Ability to analyze and optimize processes to achieve higher CSAT and performance outcomes. Interested candidates can share their cv at 9953150816

About The Role Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. About The Role - Grade Specific Is fully competent in it's own area and has a deep understanding of related programming concepts software design and software development principles. Works autonomously with minimal supervision. Able to act as a key contributor in a complex environment, lead the activities of a team for software design and software development. Acts proactively to understand internal/external client needs and offers advice even when not asked. Able to assess and adapt to project issues, formulate innovative solutions, work under pressure and drive team to succeed against its technical and commercial goals. Aware of profitability needs and may manage costs for specific project/work area. Explains difficult concepts to a variety of audiences to ensure meaning is understood. Motivates other team members and creates informal networks with key contacts outside own area. Skills (competencies) Verbal Communication

The 2-month online internship program is offered by leading scientists of Gilbert Research Center . Gilbert Research Center is one of the most reputed and notable research centres in India. What you'll learn from this Online-Internship Basics of Mathematics - Linear Algebra, Probability, Differential Equations Fundamentals of Python Programming Language Fundamentals of Statistics, Statistical Power Analysis & Optimization. Machine Learning Algorithms - Linear, Multiple, Non-Linear Regression, Correlation, Gradient Descent & PCA Fundamental of Neural Networks, Convolution & Deep Learning ( CNN - Convolutional Neural Network). Image Processing, Medical Image Processing - X-ray modality. Industry-relevant projects discussion and implementation, fundamental programming assignments, and attending mentorship sessions of our Scientists. You'll get basic and complete Industry-related knowledge for your recruitment process at Gilbert Research Center , career shift , and other job opportunities . You'll get core knowledge of machine learning & data science from a leading scientist. This program definitely boosts your professional career and promotion. Every candidate will get a Verified Certificate & Letter of Recommendation from a Scientist at Gilbert Research Center. Stipends will be provided to all students based on their assignment performance. Our internship provide to grab a job at Gilbert Research Center, a software industry, fin-tech company based on data science and machine learning. Every candidate will get a Verified Certificate & Letter of Recommendation from a Scientist at Gilbert Research Center. Stipends will be provided to all students based on their performance. Our internship provides a bridge to grab a job opportunity in a software or fin-tech company based on data science and machine learning. Job Role Assigned with Mentorship with Scientist: One of the most reputed research centres in India, Gilbert Research Center invites high-level top leading Internship positions in organizations. It's an Online-Internship Programme. The working location is completely Online . You don't need to switch your locations. It's an Internship Programme working 2 -Months Programme. Our high-level Internship Programme will be mentored and guided by the leading Scientists of Gilbert Research Center. Your role would be to lead a high-level Internship Programme by allocating Industry relevant projects, fundamental programming assignments, and attending mentorship classes of our Scientists. Youll have experience collaborating with our leading Scientists to make your career as Industry-Academic. You'll get top experience in Industry Readiness & Trending topics . Selection is based on a pure merit basis. The interview will be conducted for Shortlisting applicants.

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! About The Role 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!

Title: Manager Ops - International Process (Content Moderations) Role Summary: We are seeking a Manager to manage a dynamic team of 50-100 members in an International Process. The ideal candidate will have experience handling BPO operations, including performance management, coaching, and improving overall team productivity and quality. This role requires excellent leadership skills to guide team members, manage performance, and ensure alignment with business goals. What You Would Be Doing: Team Management & Performance : Oversee and manage the teams productivity, quality, shrinkage, and attrition to ensure all targets are met. Coaching & Development : Provide coaching and mentorship to new team members to improve performance, skills, and customer satisfaction (CSAT). Process Review & Improvement : Analyze existing processes, make recommendations for improvements, and implement strategies to enhance overall team performance and CSAT. Training Needs Identification (TNI) : Identify gaps in knowledge or processes and address them through targeted training and development. Monitoring & Coaching : Conduct weekly performance reviews and one-on-one coaching to support team members in meeting their goals. Floor Support & Escalation Management : Offer floor support and address escalations in real-time to ensure smooth operations. Target Achievement : Manage and drive the team towards achieving individual and team performance targets (IC targets). AHT Management : Ensure that Average Handle Time (AHT) is maintained within the specified target levels across different tenure buckets. Process Adherence & Compliance : Ensure that all processes are followed, and performance metrics are adhered to consistently. Skills & Experience: Experience : Previous experience in handling an international process is a must. Team Management : Proven experience in managing a team of 50-100 members, with the ability to guide, motivate, and manage team performance. Supervisory Skills : Strong supervisory and leadership skills to effectively manage subordinates and drive results. Communication Skills : Excellent written and verbal communication skills in English, with the ability to present and report effectively. Technical Skills : Basic knowledge of computers and proficiency in MS Excel. Methodical & Organized : Ability to stay organized, methodical, and manage multiple tasks and priorities effectively. Flexible : Ability to work in a 24/7 environment, including flexibility for shifts. Work Environment : 5 days working, Work From Office (WFO). What's Expected: Strong leadership and ability to drive team performance in a fast-paced environment. Excellent coaching and mentorship abilities to improve team skills and performance. Effective in handling escalations and providing floor support. Ability to analyze and optimize processes to achieve higher CSAT and performance outcomes. Interested candidates can share their cv at 7042379178

The Product Owner is responsible for the definition and delivery of a part of a product from a customer and market requirement point of view - regarding content, prioritization, quality and customer excitement for a given cost and time frame. Responsible for a part of the product through the product life cycle from the definition to the phase-out. Provides the associated development teams with priorities and expertise regarding the product and ensures completeness and consistency of the derived requirements within the part of the product. Responsible for definition and delivery of a part of a product from a customer and market requirement point of view, working with one or several development teams. Internal Interactions: Product Line Manager, Product Manager, Project Manager, Quality Manager, Development Team (e.g. Scrum Master, System Analyst, Architect, Developers, Testers), Usability Engineer, other stakeholders (e.g. Business Units), SCM (Enabling) & Customer Service teams, Technical Writers, etc. External Interactions: Customers - Radiologists, Radiology Technicians, Hospital Administrators, IT Administrators etc. What are my tasks? Elicit and collect stakeholder requests Define and prioritize Market Requirements Analyze Market Requirements (e.g. initiate and manage concepts for complex Market Requirements) Derive, prioritize and communicate Software Requirements Create Software Requirement Specifications (i.e. problem part) Coach/support development teams questions and resolve conflict regarding features and requirements Analyze and decide complaints and defects/bugs Achieve commitments with and motivate development teams, assist development teams in attaining maximum effective sustainable pace for development Ensure quality by evaluating results of iterations and either approve/ accept or reject results based on DONEness criteria Support effort estimations of development teams Analyze change request entries and prioritize with other product backlog items Coordinate cross-feature-area development with peers to facilitate prioritized product development Deliver input for project management Support roll-out of the system, presentation, workshops, training for sales and engineering What do I need to know to qualify for this job? Qualification: A Bachelors / master s degree in engineering and / or MCA or equivalent. Work Experience: 12 to 15 years. Desired Knowledge & Experience: Healthcare market. Product knowhow and customer understanding Sound knowledge of Clinical Workflows and Healthcare IT, especially in the area of Radiology. Healthcare Industry standards like DICOM and IHE Knowledge in Medical Imaging domain Good understanding of software systems categorized as Medical Device Basic understanding of Legal regulations and standards applicable for medical devices, affecting safety aspects(i.e. FDA 21CFR820QSR, MDR, ISO 13485) Exposure to agile methodology Good programming skills & should have worked for most of the time in software programming roles. Thorough experience in Requirements Engineering, Usability Engineering, and feature definition activities. Product Lifecycle Management & Software development cycle experience Experience in CT & MR modalities & medical imaging tool development is an added advantage. What experience do I need to have? Professional: Several years of experience in the medical device/ healthcare industry (e.g. as a Product Owner, System Analyst, Technology Lead, Lead Architect etc.), expertise in clinical and radiological workflows, experience in image processing. Several years of experience in IT product or solution business. Project / Process: Several years of experience in requirements engineering and SW development. Experience in agile development projects, preferably in Product Owner role. Leadership: Experience with managing internationally staffed teams, management and balancing of different stakeholder expectations, management of product definitions. Ideally several years experience in technical leadership role and communicating direction and coaching others. Intercultural: Experience with international/ intercultural teams, conduction of workshops with international development partners and customers. What else do I need to be strong at? Self driven and takes Initiatives Decision making skills Result orientation Self motivated and provides motivation and inspiration to the team Strong Analytical and Problem-Solving Skills. Strong team player and networking skills Strong written and oral communication skills. Strong interpersonal skills Strong customer focus

Summary We are seeking a highly skilled and motivated Computer Vision Engineer with strong expertise in Python, image processing, and algorithm design. The ideal candidate should be adept at developing fault-tolerant systems and optimizing data pipelines. This role requires an innovative thinker who thrives in a startup environment and is passionate about building scalable and efficient solutions. Skills Required Strong experience in Python and writing fault-tolerant code Extensive expertise in Image Processing, OpenCV, SciPy, and NumPy Good understanding of optimizing data processing pipelines Command over geometry, statistics, and designing complex algorithms Ability to work and thrive in a startup environment, learn rapidly, and master diverse web technologies and techniques Roles and Responsibilities Leverage open-source code and libraries to quickly experiment and build novel solutions Independently think of solutions to complex requirements; possess exceptional logical skills Analyze current products in development, including performance, diagnosis, and troubleshooting Work with the existing framework and help evolve it by building reusable code and libraries Search for and introduce new software-related technologies, processes, and tools to the team Brownie Points Knowledge of Keras, TensorFlow, PyTorch, Ludwig, TensorRT Experience with Nvidia DeepStream Knowledge of NLP and NLU (NLTK, SpaCy, Flair, etc.) Understanding of Docker, Kubernetes, and Git Familiarity with JavaScript What We Have to Offer Work with a performance-oriented team driven by ownership and open to experimenting with cutting-edge technologies Learn to design systems for high accuracy, efficiency, and scalability Meritocracy-driven, candid startup culture

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)