1044 Image Processing Jobs - Page 40

Euromonitor International is the worlds leading provider of global business intelligence and strategic market analysis. We have more than 40 years experience of publishing international market reports, business reference books and online databases as well as a large Consulting division. Our research offers insight into industries, countries and consumers. We deliver quality information solutions to support strategic business planning. Euromonitor International is headquartered in London, with regional offices in Chicago, Singapore, Vilnius, Bangalore, Dubai, Santiago, Tokyo, Hong Kong, Shanghai, Seoul, Sydney, Cape Town, and Sao Paulo. It has about 1,250 employees and a network of over 800 analysts worldwide. In Data Science we work with the data from fast changing consumer goods world. Data comes both from standardized databases and from online retail channels in various forms like semi-structured text in various languages, images or precise numeric values. We have already developed 400+ ML models which help us to identify consumer good attributes our clients are interested in. Currently we are looking for a new colleague to join the team and assist developing new and improving existing ML models according to our client feedback and suggest new ways looking at the data which would result in new product Key Responsibilities Formulating hypotheses and developing proof-of-concept ML models for NLP, Image Processing, Supervised/Unsupervised Learning tasks Translating Industry specific knowledge into proper models Monitoring and ensuring data quality Communicating insights effectively in both written and visual way Background in Mathematics/Physics/Natural Sciences or Engineering fields, relevant working experience of 2+ years; Advanced knowledge of Python/R/SQL, understanding of merge-request git flow, basic scripting including CI/CD, regular ex

Job Description Company Description: Master Works is a Saudi-based company operating in multiple countries, specializing in emerging technologies in data and digital transformation. They empower customers through innovation and expertise in areas such as data management, AI, and computer vision, strategy management, middleware, and software development. Experience: 8-12 years Role: Technical Lead (CV/AI) Location: Hyderabad (Work from office) Working Days: Sunday to Thursday Note: We are looking for a TL with minimum 8+ years of experience in CV/AI and 4+ years as a Technical Lead. Responsibilities: Lead Development Efforts: Oversee and guide the development of computer vision solutions, ensuring high-quality, robust, and scalable algorithms and models. Architect Solutions: Design and architect complex systems involving real-world computer vision problems, integrating various technologies and platforms. Team Coordination: Collaborate with other researchers, engineers, and stakeholders to coordinate project activities, manage timelines, and ensure project milestones are met. Technical Leadership: Provide technical guidance and mentorship to team members, fostering an environment of continuous learning and improvement. Algorithm Development: Lead the creation of industry-grade algorithms using OpenCV, Python, and deep learning frameworks. Model Training and Evaluation: Oversee the training, evaluation, and fine-tuning of state-of-the-art deep learning models for tasks such as segmentation, object detection, classification, object tracking, visual style transfer, and generative adversarial networks. Integration and Deployment: Supervise the integration of models with various in-house and external microservices, ensuring seamless operation and deployment using technologies like Kubernetes, Docker, and containerization. Research and Innovation: Drive research into emerging technologies, developing proof of concepts (POCs) and evaluating their potential impact on existing and future projects. Project Planning and Management: Define the scope of work for computer vision research projects, including setting clear research objectives and outcomes. Technical Documentation: Prepare and maintain comprehensive technical documentation for algorithms, models, and deployment processes. Collaboration and Communication: Engage with cross-functional teams, including product managers and business stakeholders, to align on project goals and deliverables. Leadership: Proven experience in leading technical teams, managing projects, and driving complex development efforts. C++ (Mandatory): Proficiency in C++ for implementing high-performance algor

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work. The Advanced Technology Group (ATG) is the research division of the company. ATG s mission is to look ahead, deliver insights, and innovate technological solutions that will fuel Dolby s continued growth. Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. We are seeking a talented Researcher to join our Advanced Technology Sight Research Lab. You will bring your experience in generative AI on computer vision tasks and deep learning technology to Dolby. As a prerequisite for your work, you have proven knowledge of the generative network (VAE, GAN, diffusion model), low-level/high-level computer visions, 2D/3D scene representation and reconstruction, and deep learning. Your solid understanding of trade-offs between computational complexity and achieved performance of different implementations will guide you in decisions. You will: Research and develop new neural network architectures, training methods, representation, and processing algorithms on the areas of modern computer vision. Have an in-depth understanding of the key processes in computer vision. You have extensive experience in developing architectures, VAE/GAN/diffusion-based network, multi-modal generative network, image/video generative restoration/enhancement, 3D novel view synthesis, and deep learning solution to improve performance of computer vision tasks. Join a highly skilled and motivated team to research and develop advanced computer vision and processing technologies to improve end user experience. What will you accomplish: Build cutting-edge technology in the areas of Computer Vision, AI and Deep Learning . Develop new neural network architectures, training methods, representation, and processing algorithms Creates early-stage conceptual models that demonstrate feasibility. Document and present the new architectures and algorithms in various forms, such as technical white papers and internal meeting Maintain the highest technical and moral integrity for Dolby in the workplace and marketplace. Skills, Education, and Experience Required Ph.D. degree in electrical engineering, computer engineering, or computer science. Minimum of 2 years of experience in developing algorithms for generative neural network, multi-modal tasks, generative 2D/3D computer vision tasks. You are familiar with computer graphics, video processing systems, as well as corresponding software in consumer and professional products. Solid background in the latest AI technologies and their applications to image research. Proficient in Matlab, C/C++, OpenCV, and Python (TensorFlow/PyTorch) programming applied to computer vision is required. Self-motivated, quick learner and business partner with ability to work with minimal supervision. Excellent written and verbal communication skills. It is highly desirable to have one or more of the following: Experience in filing patents of newly developed technologies. Hands-on experience in applying Generative Network, Computer Vision, and Machine Learning algorithms to real-world problems Proven track record of successful research accomplishments, published papers, and/or patent applications in the field of video encoding and processing. Note: All official communication regarding employment opportunities at Dolby will come from an official dolby.com email address. We will never request payment as part of the hiring process. If you receive a suspicious message, please verify its authenticity before responding.

Introduction: Automotive . Engineer audio systems and integrated technology platforms that augment the driving experience Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence Advance in-vehicle infotainment, safety, efficiency, and enjoyment About the Role- Were seeking a skilled MATLAB Developer to join our team. As a MATLAB Developer, you will be responsible for designing, developing, and testing MATLAB and Simulink models for various applications. You will work closely with cross-functional teams to ensure high-quality solutions. What you will do 1. Model-Based Development: Design, develop, and test MATLAB and Simulink models for various applications. 2. MATLAB Programming: Write efficient and well-documented MATLAB code for data analysis, visualization, and simulation. 3. Simulink Modeling: Create and simulate complex systems using Simulink. 4. Testing and Validation: Test and validate MATLAB and Simulink models to ensure accuracy and reliability. 5. Collaboration: Work closely with cross-functional teams, including engineers, researchers, and scientists. 6. Documentation: Maintain accurate and up-to-date documentation of MATLAB and Simulink models. What You Need to Be Successful 1. Education: Bachelors/Masters degree in Electrical Engineering, Computer Science, or related field. 2. Experience: 1-3 years of experience in MATLAB development. 3. Technical Skills: Strong knowledge of MATLAB, Simulink, and model-based development. 4. Programming Skills: Proficiency in MATLAB programming language. 5. Problem-Solving: Excellent problem-solving skills and attention to detail. 6. Communication: Strong communication and teamwork skills. Bonus Points if You Have 1. Experience with other programming languages: Familiarity with other programming languages, such as C++, Python, or Java. What Makes You Eligible 1. Knowledge of control systems: Understanding of control systems, signal processing, or image processing. 2. Experience with version control systems: Familiarity with version control systems, such as Git. What We Offer - Competitive salary and benefits package - Opportunities for professional growth and development - Collaborative and dynamic work environment - Access to cutting-edge technologies and tools - Recognition and rewards for outstanding performance through BeBrilliant - Chance to work with a renowned German OEM - You are expected to work all 5 days in a week You Belong Here . About HARMAN: Where Innovation Unleashes Next-Level Technology . . !

Job TitleData Scientist (OpenCV) Experience0"“1 Year LocationBangalore Notice PeriodImmediate Joiner Job Summary We are seeking a highly motivated and enthusiastic Data Scientist with a passion for computer vision and hands-on experience in OpenCV This is an excellent opportunity for recent graduates or early-career professionals to contribute to real-world projects involving image processing, computer vision, and machine learning. Key Responsibilities Work on image and video processing projects using OpenCV and Python. Assist in developing computer vision models for object detection, recognition, and tracking. Preprocess and analyze image datasets to extract meaningful insights. Collaborate with senior data scientists and engineers to integrate models into production environments. Conduct experiments and contribute to research-oriented tasks in the field of computer vision. Document processes, models, and results for internal review and external presentation. Required Skills Strong knowledge of OpenCV and image processing techniques. Proficiency in Python and related libraries (e.g., NumPy, Pandas, Matplotlib). Understanding of basic machine learning and deep learning concepts. Familiarity with tools like Jupyter Notebooks, TensorFlow, or PyTorch is a plus. Good problem-solving skills and attention to detail. Excellent communication and teamwork skills. Preferred Qualifications Bachelor's degree in Computer Science, Data Science, Electrical Engineering, or a related field. Internship or academic project experience in computer vision or image processing. Exposure to cloud platforms (AWS, GCP, Azure) is a plus. What We Offer A collaborative and learning-driven environment. Mentorship from experienced professionals. Opportunity to work on innovative projects with real-world impact. Competitive salary and benefits. Show more Show less

Optum AI is UnitedHealth Group’s enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI Team Members Have impact at scaleWe have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone. Do ground-breaking workMany of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development. Partner with world-class experts on innovative solutionsOur team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world’s top universities. OptumAI is looking for a Senior Machine Learning Engineer with deep subject matter expertise in text processing, NLU and SLU (Natural language understanding and Spoken Language Understanding) who will be part of a team leading the technical development and inventions that allow Optum machine learning products drive positive impact in the healthcare business. Your expertise will bring business and industry context to science and technology decisions. As part of the OptumAI AI/ML engineering group, you set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your code, designs and documents are exemplary and are used as references across the organization. A successful candidate is a hands-on AI/ML engineering expert that will tackle intrinsically hard problems, acquiring expertise as needed. The candidate will help decompose complex problems into straightforward solutions. Primary Responsibilities Help design and develop the next generation of NLP, ML & AI products, and services for healthcare Develop machine learning and deep learning models and systems in domains including, but not limited toNLP, NLU, NLG, SLU and multidimensional time series forecasting among others Exposure in RAG, LangChain, VectorDBs Ability to Quantize, Optimize GenAI models Manage NLP & ML models lifecycle for a suite of products Run large complex proof-of-concepts for the healthcare business Manage prioritization and technology work for building NLP, ML & AI solutions Lead the full end-to-end machine learning development process including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation Establish best practices for end-to-end deep learning and machine learning development cycle to ensure rigor in process and quality in outcome Work with a great deal of autonomy to find solutions to complex problems Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Graduate degree in applicable area of expertise or equivalent experience Experience in deploying scalable solutions to complex problems, from defining the problem, implementing the solution, and launching the new product successfully Skill Set; NLP, NLU, NLI ArchitectureTransformers, Attention ModelsGPT, Llama, Mistral Model Quantization Model Optimization Retrieval & Ranking, RAG, RAGAS Statistics, Machine Learning Models, Model Deployment Proven excellent communication, writing and presentation skills Experience in the health care industry Preferred Qualification Experience in the health care industry At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. #Nic

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Assesses and interprets customer needs and requirements Identifies solutions to non-standard requests and problems Solves moderately complex problems and/or conducts moderately complex analyses Works with minimal guidance; seeks guidance on only the most complex tasks Translates concepts into practice Provides explanations and information to others on difficult issues Coaches, provides feedback, and guides others Acts as a resource for others with less experience Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualification Undergraduate degree or equivalent experience

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Design and implement scalable ML solutions using state-of-the-art generative models Fine-tune and optimize large language models (LLMs) for domain-specific applications Collaborate with cross-functional teams to integrate AI capabilities into products and services Conduct research and stay up-to-date with the latest advancements in generative AI and deep learning Develop pipelines for data preprocessing, model training, evaluation, and deployment Ensure model performance, fairness, and interpretability through rigorous testing and validation Mentor junior engineers and contribute to knowledge sharing within the team Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field 7+ years of experience in AI/ML engineering, with at least 2 years focused on Generative AI Hands-on experience with LLMs, prompt engineering, and fine-tuning techniques Experience with ML Ops tools and cloud platforms (AWS, GCP, Azure) Familiarity with model evaluation techniques and bias/ethical AI metrics Proficiency in Python and ML frameworks such as TensorFlow, Py Torch, Hugging Face Transformers Proven excellent problem-solving skills and ability to work in a fast-paced environment At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Leverage AI/ML technologies to transform and improve current Optum system. This involves working with large-scale computing frameworks and data analysis systems Produce innovative solutions driven by exploratory data analysis from unstructured, diverse datasets. They apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement Collaborate closely with business and product teams to grasp the requirements and translate vague concepts into tangible AI solutions. Possess solid problem solving and implementation skills to bring these solutions to life and work with engineering teams to build scalable, flexible product pipelines Adapt to an agile, fast-paced environment, and maintain a passion for exploring and integrating cutting-edge AI technologies to support future projects Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s / master’s degree in computer science, Math/Statistics, Electrical Engineering, Industrial Engineering, Bioinformatics, or another technical field that provides mathematical training 5+ years of Python development 3+ years of experience with AI/ML technologies and working with predictive analytics, image processing, Generative AI, or related technologies 3+ years of experience with AI Cloud services like Azure ML, Databricks, Azure OpenAI, or similar services in GCP / AWS 1+ years of experience in LLMs (Large Language Models) in cloud (Azure, GCP, AWS) and RAG (Retrieval-Augmented Generation) Experience in building enterprise grade AI-driven solutions Experience in designing and implementing effective prompts for LLMs to ensure optimal performance and accuracy Experience in data ingestion, transformation, and management processes Familiarity with frameworks/libraries such as TensorFlow, PyMuPDF, Tesseract Demonstrated skills in data analytics and the ability to work with large datasets to extract meaningful insights Preferred Qualification Proven ability to find AI solutions for undefined problems Soft Skills Ability to be a fast learner and self-driven Ability to work independently on complex AI projects

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

Work with the brightest minds, including ex-ISRO scientists and global space industry experts, at one of the select few companies in the country pioneering cutting edge EO payloads. Seeking an Image Processing Scientist to contribute to the development of high-performance image processing pipelines for satellite optical sensors, utilizing advanced algorithms to drive real-time analysis. About KaleidEO KaleidEO, a subsidiary of SatSure, is an upstream leader in Earth Observation, building a full-stack company from India. As an analytics-first payload innovator, we specialize in building next-gen, high-resolution, multispectral payloads with edge computing and wide coverage capabilities. Rooted in SatSure s legacy of building applications across sectors like Utilities, Agriculture, Aviation, BFSI, and Climate Action, we also provide end-to-end EO solutions, from payload development and launch to mission operations and data analytics. At KaleidEO, we are shaping the future of Earth Observation and putting Indian space tech on the global map. If you thrive on challenges and are passionate about pushing the boundaries of image processing, this is your calling! Roles and Responsibilities To assist in developing and optimizing algorithms for key image processing stages, including radiometric and geometric correction, atmospheric correction, image enhancement, mosaicking, and orthorectification. To assist in designing and implementing efficient image processing pipelines for satellite optical sensor data. To apply cutting-edge techniques such as deep learning, object detection, and spectral analysis to extract meaningful insights from optical imagery (e.g., DEM/DSM, change detection). To assist in developing solutions for cloud-based processing to handle large-scale satellite data efficiently.. To ensure the pipeline is automated, efficient, and scalable to handle high-volume satellite data processing tasks. To work closely with data scientists, software engineers, and GIS specialists to integrate image processing pipelines into broader systems. To participate in quality assurance practices to ensure high-quality image products. To maintain thorough documentation of the pipeline architecture, algorithms, processes, and development timelines, and report progress to key stakeholders. Qualifications: Bachelors or Master s degree in Remote Sensing, Geospatial Science, Physics, Electrical Engineering, Computer Science, or a related field. Preferably 2-3 years of industrial experience in satellite/drone image processing focusing on optical sensor data. Must-Have: Proficiency in image processing and computer vision algorithms. Strong programming skills in Python, with experience using libraries like OpenCV, GDAL. Understanding of satellite optical sensors and their processing challenges. Good to Have: Experience with machine learning techniques for image analysis. Familiarity with geospatial data formats and tools (e.g., GeoTIFF, QGIS, ArcGIS). Benefits Medical Health Cover for you and your family including unlimited online doctor consultations. We believe family comes first. That s why we offer Maternity, Paternity, Marriage and Bereavement Leave, so you can be there when it matters most. We ensure every member of the team gets an opportunity to participate at international events and conferences. Access to mental health experts for you and your family. Dedicated allowances for learning and skill development. Twice a year appraisal. Interview Process: Coding Round Introductory call Panel Interview rounds ( 2 rounds) Culture Round / HR round No of positions: 2 Expected Month of Joining: May 2025

We are looking for a talented and highly motivated engineer to help advance our effort on creating the most efficient Multi-Model LLM models, with a specific focus on creating value for Enterprises. The candidate will be responsible for training/finetuning of MLLM models, developing prototype solutions to IBM z17 AIU hardware, working closely with IBM AIU teams, and IBM scientists in a flexible and fun environment. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise * 5+ years programming and hands on experience in python * Experience with Finetuning Multi-Model LLM models and internals of training stacks * Experience with Pytorch and FSDP * Exposure to lare scale distributed training tuning * Exposure to working with both text and image datasets Preferred technical and professional experience Exposure to Hugging Face Ecosystem, Trasnformer Models, Vision Models, and Diffusion Models Exposure to distributed foundation model training BTech/Masters/PhD in Computer Science or allied fields

Gen AI Engineer 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

Were on the lookout for Computer Vision Engineers with strong Kotlin development experience and a passion for innovation in the retail domain. Join our dynamic team to build intelligent vision-based systems that transform customer experience, streamline operations, and deliver real-time insights at scale. We're Hiring: Computer Vision Engineer (Kotlin) Retail Domain Location: [Specify your current Location or Remote] Experience: 3–7 Years/ 3 to 10 Years Open Positions: 2–4 Employment Type: Full-time Budget & Client: Will be discussed during the interview process Joining: Immediate to short notice preferred Responsibilities -Design and implement advanced computer vision algorithms for object -detection, tracking, and recognition in real-world retail settings. -Develop and maintain Kotlin-based applications for mobile and edge devices. -Collaborate with product managers, data scientists, and engineering teams to deliver end-to-end solutions. -Optimize models for real-time inference on edge platforms (e.g., Jetson Nano, Raspberry Pi, Android). -Analyze large-scale video/image datasets to extract meaningful insights. -Contribute across the full software development lifecycle: architecture, development, testing, and deployment. Required Skills & Qualifications -Bachelor’s/Master’s in Computer Science, Electrical Engineering, or related field -3+ years of experience in computer vision and image processing -Strong programming skills in Kotlin (Android or cross-platform apps) -Hands-on with OpenCV, TensorFlow, or PyTorch -Experience in deploying models on mobile/edge devices -Must have experience in retail use cases (e.g., shelf monitoring, customer analytics, smart checkout) -Excellent communication, analytical, and teamwork skills Preferred (Good to Have): -Experience with cloud platforms (AWS, GCP, Azure) -Familiarity with MLOps & CI/CD pipelines -Exposure to AR/VR or 3D vision technologies -Contributions to open-source CV projects Interested? Drop your updated CV at anzia.sabreen@bct-consulting.com or DM us directly. Let’s build the future of retail with computer vision!

Job Title Junior Research Fellow (JRF) at Amrita School of Computing Location Amritapuri, Kollam Required Number 1 Qualification Preferred: m-tech /M E /M S /BS-MS in Computer Science, Data Science, Artificial Intelligence, or Computer Science and Engineering with a minimum CPI of 6 5, awarded within the last five years, OR Tech Desirable Qualifications: Prior research or project experience in image processing, image compression, machine learning, or deep learning will be given preference, Job Description Project Title: LHFIC-Earth: Towards Learned High-Fidelity Image Compression of Earth Observation Data for Onboard Processing Funding Agency: Anusandhan National Research Foundation (NRF), Government of India Scheme: SERB Prime Minister's Early Research Grant Duration Initial appointment for 1 year, extendable up to a maximum of 3 years or until project completion, based on performance and availability of funds, Fellowship 37,000 + HRA per month for the first two years 42,000 + HRA per month for the third year Age Limit Upper age limit is 35 years at the time of application Relaxation in age for SC/ST/OBC/PD candidates will be provided as per Government of India norms, Candidates will be shortlisted for interview based on their CV, qualifications and experience Interested candidates are requested to send their application along with a detailed CV, including a list of academic marksheets, publications, awards, research internships, GATE/NET Score Card Only shortlisted candidates will be called for interview and the candidates are required to attend at their own expenses, no TA/DA will be provided During interview, the knowledge of candidates will be assessed in the areas of physics, numerical/ computational methods and programming, Job Category Research Advertisement Budget Null Last Date to Apply May 31, 2025

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