1889 Image Processing Jobs - Page 10

As the Lead algorithm engineer, you will be responsible for mentoring and guiding a team of algorithm engineers to ensure their professional growth and success. Your role will involve developing and maintaining infrastructure to deploy and execute algorithms at scale. Collaborating with data scientists, software engineers, and product managers, you will design and implement robust and scalable algorithmic solutions. It will be imperative to optimize algorithm performance and resource utilization to meet business objectives. You must stay updated with the latest advancements in algorithm engineering and infrastructure technologies to enhance our systems continuously. Additionally, driving improvements in development processes, tools, and methodologies will be a key aspect of your role. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Your experience should include developing computer vision and image processing algorithms and ML/DL algorithms. Proficiency in programming languages like Python, C++, and CUDA is essential. Strong leadership and team management skills are necessary, along with proven experience in leading engineering teams. Excellent problem-solving, analytical, communication, and collaboration skills are also required. Preferred qualifications include experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, and Scikit-learn. Familiarity with GPU architecture and algorithm development toolkits like Docker and Apptainer will be advantageous. Minimum qualifications for this role include a Bachelor's degree with at least 8 years of experience or a Master's degree with 8+ years of experience. A Ph.D. with 6 years of industry experience, an M.Tech with 8 years of experience, or a B.Tech with 10 years of experience will be considered. You should have a minimum of 3 years of experience working as a Manager, not just as a Lead. A minimum of 8 years of experience in programming languages such as Python, C++, or CUDA, as well as expertise in Machine Learning, Artificial Intelligence, Deep Learning, Computer Vision, and Image Processing, is required. It is mandatory to have experience working in a product company. Candidates from Tier 1 colleges like IIT, IIIT, VIT, NIT have a higher chance of selection. Good stability in previous organizations, with a minimum of 2 years in one organization, is necessary. Candidates should not be currently employed at HCL, and relocation to Chennai is mandatory. Additional guidelines include an interview process consisting of 3 Tech rounds, a Fitment round, and an HR round. Relocation expenses are available, and there is an option for 3 days of working from the office. Candidates from Semicon or manufacturing companies, those with more than 8 CPGA, and those with experience in product companies, Semicon, or electrical/HW manufacturing companies are preferred. Candidates who meet the requirements and are willing to relocate can apply from anywhere, including international candidates.,

You will be responsible for designing, developing, and deploying deep learning models for various applications in Computer Vision and Natural Language Processing. Your role will involve working extensively with Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Transformer models. Conducting research on state-of-the-art deep learning algorithms and applying them to solve complex problems will be a key aspect of your job. You will be required to implement and fine-tune machine learning models using TensorFlow/PyTorch and collaborate with data scientists, researchers, and software engineers to integrate AI solutions into production environments. Optimizing deep learning models for scalability and efficiency, ensuring robust deployment in cloud or edge computing environments, will be among your responsibilities. Moreover, you will work on real-time and offline inference pipelines to deploy deep learning models efficiently. Staying updated with the latest advancements in Deep Learning, AI, and Machine Learning research and applying relevant insights to projects will be crucial. Your tasks will include performing data preprocessing, augmentation, and feature engineering to improve model performance. Developing custom loss functions, optimization techniques, and model architectures to enhance the efficiency of deep learning models will also be part of your role. Writing clean, efficient, and well-documented Python code for implementing and training machine learning models will be essential. In addition, you will conduct experiments, analyze results, and document findings for future reference and improvements. Working on improving model interpretability and explainability for real-world applications and collaborating with teams across different domains to understand business problems and design AI-driven solutions will be expected from you. The ideal candidate for this position should have a strong understanding of Deep Learning concepts and architectures. Expertise in Computer Vision (CNN, GAN) and NLP (RNN, LSTM, Transformer), proven experience with TensorFlow/PyTorch for training and deploying deep learning models, proficiency in Python, and experience in writing efficient and scalable machine learning code are necessary qualifications. Hands-on experience with model optimization, tuning, and hyperparameter search, solid understanding of mathematical concepts like linear algebra, probability, and optimization techniques, experience with handling large-scale datasets and data preprocessing techniques, familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying deep learning models, strong problem-solving skills, and the ability to think critically in designing AI solutions are also required. Having a research background in Deep Learning is preferred but not mandatory. Experience with distributed computing and parallel processing frameworks is a plus, as well as familiarity with MLOps and Model Deployment Pipelines.,

We are looking for a highly motivated and dedicated individual to join our team as an Assistant in Imaging Services at Vijaya Diagnostic Centre Limited. The ideal candidate should have 0-1 years of experience. Roles and Responsibility Assist in the operation and maintenance of imaging equipment. Prepare patient samples and materials for imaging procedures. Monitor patient vital signs and reactions during imaging procedures. Maintain accurate records of imaging results and patient information. Collaborate with healthcare professionals to provide high-quality patient care. Participate in quality control and quality assurance activities to ensure excellence in imaging services. Job Requirements Fresher candidates with a strong foundation in biotechnology, pharmaceuticals, or clinical research are encouraged to apply. Ability to work effectively in a fast-paced environment and prioritize tasks. Excellent communication and interpersonal skills are required for interacting with patients, families, and healthcare teams. Strong attention to detail is necessary to maintain accurate records and reports. Ability to adapt to new technologies and procedures in the field of imaging services. Commitment to delivering high-quality patient care and exceeding customer expectations.

Nielsen Sports is looking for AI / ML Engineer II to join our dynamic team and embark on a rewarding career journey We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into machine learning objectives Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training Address data quality issues and ensure data readiness for machine learning tasks Model Development:Develop and implement machine learning models using state-of-the-art algorithms Experiment with different models and approaches to achieve optimal performance Training and Evaluation:Train machine learning models on diverse datasets and fine-tune hyperparameters Evaluate model performance using appropriate metrics and iterate on improvements Deployment:Deploy machine learning models into production environments Collaborate with DevOps and IT teams to ensure smooth integration Monitoring and Maintenance:Implement monitoring systems to track model performance in real-time Regularly update and retrain models to adapt to evolving data patterns Documentation:Document the entire machine learning development pipeline, from data preprocessing to model deployment Create user guides and documentation for end-users and stakeholders Collaboration:Collaborate with data scientists, software engineers, and domain experts to achieve project goals Participate in cross-functional team meetings and knowledge-sharing sessions

Experience in ITMS, VMS, VIDS and Video analytics testing Experience in product demonstration Candidate having knowledge on Linux and database will be preferred. Interested to handle Product R&D, testing etc Should have some knowledge of relational database.

We are looking for a skilled Senior AI Developer to join our team at ThoughtWorks Technologies (India) Pvt Ltd. The ideal candidate will have a strong background in artificial intelligence and machine learning, with excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment. Roles and Responsibility Design, develop, and deploy AI and ML models using various frameworks and technologies. Collaborate with cross-functional teams to identify business problems and develop solutions. Develop and maintain large-scale data pipelines and architectures. Conduct research and stay updated on the latest trends and advancements in AI and ML. Work closely with stakeholders to understand requirements and deliver high-quality results. Participate in code reviews and contribute to improving overall code quality. Job Requirements Strong proficiency in programming languages such as Python, Java, or C++. Experience with deep learning frameworks like TensorFlow or PyTorch. Knowledge of cloud platforms such as AWS or Google Cloud. Excellent understanding of software development principles and patterns. Strong analytical and problem-solving skills. Ability to work effectively in a team environment and communicate complex ideas clearly.

Position : Robotics Intern Prototype Development Location : Ahmedabad (Fx31Labs Office) Address : 205, Amrakunj Avis, Near Tapovan Circle, Above Gwalbhog Restaurant, Chandkheda, Ahmedabad, Gujarat 382424 Job Description : Fx31Labs is seeking a passionate and hands-on Robotics Intern – Prototype Development to join our cutting-edge robotics initiative. This voluntary internship offers a fast-paced, full-cycle prototyping experience—from electronics and mechanics to control software and advanced SLAM (Simultaneous Localization and Mapping) integration using ROS 2. Ideal for students and early professionals seeking hands-on learning and mentorship. Key Responsibilities : Design & Build Assemble and wire robotics components like motors, drivers, sensors, and microcontrollers. Design simple circuits and prototype boards for rapid experimentation. Code & Control Develop Python scripts for motor control, sensor integration, and safety protocols. Interface with hardware using GPIO, serial, IC/SPI, etc. System Integration & Debugging Integrate microcontrollers, drivers, and sensors into a functional robotics system. Diagnose hardware-software issues and resolve integration challenges. SLAM & Localization Implement and tune SLAM algorithms using ROS 2 (e.g., Cartographer, GMapping, RTAB-Map). Enable autonomous mapping, navigation, and localization. Rapid Iteration & Experimentation Continuously prototype, test, and refine hardware and software systems based on feedback and failures. Team Collaboration Work closely with multidisciplinary engineers in mechanical, electrical, and software domains. Participate in design discussions, sprint planning, and prototype reviews. Qualifications : Pursuing or recently completed Bachelor’s in Robotics, Mechatronics, Electronics, Computer Science, or related field. Demonstrated hands-on project in robotics or embedded systems (Arduino, Raspberry Pi, etc.). Proficient in Python, especially for hardware interfacing and scripting. Solid understanding of control systems, sensors, and microcontroller communication protocols. Comfortable working with physical tools, circuit assembly, and soldering. Nice-to-Haves : Experience with ROS 2 and SLAM algorithms (Cartographer, RTAB-Map, GMapping). Exposure to OpenCV, TensorFlow, or similar computer vision frameworks. Familiarity with CAD tools like Fusion 360 or SolidWorks. Basic mechanical design and prototyping skills. Soft Skills : Proactive self-starter with high ownership. Strong analytical and debugging skills. Curiosity-driven mindset with a love for solving tough engineering challenges. Good communication and collaboration abilities. Why Join Us? End-to-End Prototyping : Build a robot from scratch and watch it come alive with advanced autonomy. Multidisciplinary Exposure : Collaborate with experienced teams across electronics, software, and hardware. Learning Focus : Gain hands-on experience and personalized mentorship in a real-world R&D environment. Tech-Driven Culture : Innovation, ownership, and rapid experimentation are at our core. Internship Details : Duration : 3 months Type : Voluntary Internship (unpaid, with mentorship, certification, and learning opportunities) Location : On-site at Fx31Labs, Ahmedabad About Fx31Labs : Fx31Labs is an innovation-driven tech company delivering solutions at the intersection of robotics, AI, and software development. We specialize in building intelligent, scalable, and automation-first systems for startups and enterprises alike. Website: www.fx31labs.com

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable, more inclusive world. Your Role Develop and implement Generative AI / AI solutions on Google Cloud Platform Work with cross-functional teams to design and deliver AI-powered products and services Work on developing, versioning and executing Python code Deploy models as endpoints in Dev Environment Solid understanding of python Deep learning frameworks such as TensorFlow, PyTorch, or JAX Natural language processing (NLP) and machine learning (ML) Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI etc Generative AI support in Vertex, specifically handson experience with Generative AI models like Gemini, vertex Search etc Your Profile Experience in Generative AI development with Google Cloud Platform Experience in delivering an AI solution on VertexAI platform Experience in developing and deploying AI Solutions with ML What youll love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learnon one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications Location - Hyderabad,Pune,Bengaluru,Chennai,Mumbai

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable, more inclusive world. Your Role Design and develop Agentic AI architectures that can autonomously plan, reason, and execute tasks. Implement multi-agent communication protocols for agent-to-agent collaboration and coordination. Work with Large Language Models (LLMs) such as LLaMA, GPT, etc., for language understanding, generation, and task planning. Develop and integrate Retrieval-Augmented Generation (RAG) pipelines to enhance the reasoning capability of agents with external knowledge. Perform fine-tuning of foundational models for specific domains, tasks, or use cases. Design and experiment with lightweight models (e.g., Phi, Tiny LLMs) for efficiency in real-time or on-device scenarios. Collaborate cross-functionally with Data Scientists, ML Engineers, and Product Teams to deliver end-to-end AI solutions. Your Profile Proven experience in developing and deploying Agentic AI systems. Strong experience with LLMs, particularly Metas LLaMA family or similar open-source models. Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and related tools like LangChain, Haystack, etc. Knowledge and experience with model fine-tuning using frameworks like HuggingFace Transformers, PEFT, or LoRA. Experience in implementing agent-to-agent communication frameworks and multi-agent task handling systems. Proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Transformers, etc. Familiarity with prompt engineering and chaining logic for LLMs. What youll love about working here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work . Location - Pune,Bengaluru,Chennai,Hyderabad

Role & responsibilities 1. Data Management & Pre-processing - Collect, clean, and pre-process large datasets from diverse sources, ensuring high data quality. - Analyse unstructured and structured data to derive actionable insights. 2. Predictive Modelling & Machine Learning - Develop and implement predictive models tailored to business objectives. - Integrate machine-learning techniques with LLMs to enhance model performance. 3. Specialization in Large Language Models (LLMs) - Fine-tune and customize LLMs (e.g., GPT, Google Gemini) for specific business needs. - Develop prompt engineering strategies to improve model responses and outcomes. - Collaborate with engineering teams to integrate LLMs into existing systems and workflows. - Explore opportunities to enhance hospitality-specific use cases through advanced natural language processing (NLP) techniques. 4. Data Analysis & Insights - Perform deep analysis to uncover trends, patterns, and key insights. - Create forecasting tools to predict customer behaviour, operational metrics, and future trends. 5. Collaboration & Communication - Work closely with cross-functional teams to understand business challenges and provide AI-driven solutions. - Communicate findings through clear, impactful reports, dashboards, and presentations. 6. Innovation & Continuous Learning - Stay updated with the latest advancements in LLMs, AI, and machine learning. - Pilot and recommend new tools, algorithms, and frameworks to improve data science initiatives Preferred candidate profile Expertise in Large Language Models: - Hands-on experience with GPT-4, ChatGPT, Google Gemini, and similar LLMs. - Strong understanding of LLM fine-tuning, deployment, and performance optimization. Prompt Engineering: - Proficiency in crafting effective prompts to enhance model outputs. Programming & Tools: - Strong coding skills in Python, R, or similar languages. - Familiarity with frameworks such as Tensor Flow, PyTorch, Hugging Face, or OpenAI API. Data Management: - Experience in handling large datasets and working with tools like SQL, Pandas, and Spark. Machine Learning & NLP: - Proficiency in supervised and unsupervised learning techniques. - Advanced knowledge of natural language processing and generation.

At Capgemini Engineering, the world leader in engineering services, a global team of engineers, scientists, and architects collaborate to assist innovative companies in reaching their full potential. Whether working on autonomous cars or life-saving robots, the digital and software technology experts at Capgemini Engineering provide unique R&D and engineering services across various industries. Join a career full of opportunities where you can truly make a difference, with each day presenting new challenges and experiences. Strong experience in Python-based Django and Flask framework is required for this role. The ideal candidate should have expertise in developing microservices-based design and architecture, with a solid programming background in JavaScript, HTML5, Python, Restful API, and gRPC API. Proficiency in object-oriented concepts in Python is essential, along with knowledge of Python libraries such as Numpy, Pandas, Ppen3D, OpenCV, and Matplotlib. Additionally, familiarity with MySQL, Postgres, or MSSQL databases, as well as 3D geometry, SSO/OpenID Connect/OAuth authentication protocols, and version control systems like GitHub/BitBucket/GitLab is preferred. As a Software Engineer at Capgemini Engineering, your responsibilities include applying scientific methods to analyze and solve software engineering problems, developing and applying software engineering practices and knowledge, supervising technical and administrative work, and continuously improving skills and expertise in software engineering. Collaborating with team members and stakeholders, you will contribute to project performance and make decisions based on your understanding of the situation. For this specific grade, the candidate should have more than a year of relevant work experience, a solid understanding of programming concepts, software design, and software development principles. The individual should be able to work independently, follow directions with minimal supervision, and deliver accurate and reliable results. Organizational skills are crucial for managing tasks and problems efficiently, working cooperatively with team members, and positively impacting project performance. The ability to make decisions based on situational understanding is valued over just following rules. Capgemini is a global business and technology transformation partner, enabling organizations to accelerate their transition to a digital and sustainable world while creating meaningful impact for enterprises and society. With a diverse team of over 340,000 members in more than 50 countries, Capgemini leverages its 55-year heritage to unlock the value of technology across various business needs. From strategy and design to engineering, Capgemini provides end-to-end services and solutions utilizing AI, generative AI, cloud and data capabilities, industry expertise, and a strong partner ecosystem.,

You will be responsible for designing and developing robust, efficient, and real-time algorithms for the analysis and classification of Medical Images using cutting-edge techniques from Image Processing, Pattern Recognition, Computer Vision, and Machine Learning. Your focus will be on creating innovative solutions for problems related to Segmentation, Detection, classification, and quantification of high-resolution colored images, particularly for applications in Digital Pathology. Additionally, you will be designing efficient models in Machine Learning / Deep Learning to ensure accurate analysis and classification of High-resolution Images. It will be crucial for you to stay updated on the emerging trends in technology and apply them in your projects to achieve better results that may lead to publications and patents. Furthermore, you will have the opportunity to explore new areas such as Expert Systems, Cognitive Computing, Artificial Intelligence, and Computational Photography. As for the candidate profile, we are looking for individuals with a strong academic background such as a PhD, M. Tech., M.E., or M.C.A. preferably from CSE, IT, ECE, or EE background. Alternatively, candidates with a B. Tech. / B.E. degree with exceptional academic/professional knowledge in Image Processing, Pattern Recognition, Computer Vision, Machine Learning, and Deep Learning are encouraged to apply. Experience with Medical Image Processing would be considered an added advantage. In terms of technical skills, you should have hands-on experience in developing and implementing Image Processing and Machine Learning algorithms. Proficiency in programming languages like C, C++, Python, JAVA, etc., is essential. Moreover, experience in using Deep Learning frameworks and libraries is required, and understanding concepts of parallel architecture on GPU would be beneficial. Key skills that are important for this role include Image Processing, Segmentation, Pattern recognition, Computer Vision, Machine Learning, and Neural Network. If you are passionate about working on challenging projects that involve cutting-edge technologies and have a strong background in the aforementioned areas, we encourage you to apply for this position.,

NewCold is a service provider in cold chain logistics with a focus on the development and operation of large, highly automated cold stores. We strive to play a crucial role in the cold chain of leading food companies by offering advanced logistic services worldwide. As one of the fastest-growing companies in the cold chain logistics industry, with over 2,000 employees, we are expanding our teams to support this growth. We utilize the latest technology to empower individuals to handle food responsibly and ensure food safety in a sustainable manner. Challenging the industry norms, we believe in forming long-term partnerships and delivering solid investment opportunities that pave the way for next-generation logistic solutions. With in-house expertise in designing, engineering, developing, and operating state-of-the-art automated cold stores, we have successfully executed projects across three continents. As we anticipate numerous new construction projects globally in the near future, this vacancy presents an exciting opportunity to be part of an internationally growing and ambitious organization. **Job Title:** AI Associate-Computer Vision **Location:** Bengaluru **Experience:** 1-2 Years **Compensation:** Up to 15 Lakhs PA **Position:** AI Associate - Computer Vision We are seeking a passionate and hands-on AI Associate (Computer Vision) to join our AI team. In this role, you will work on real-world applications using live video feeds and image data to develop intelligent visual systems that address significant challenges across logistics, operations, and automation. **Your Role:** This position offers an excellent opportunity for individuals looking to enhance their expertise in computer vision while contributing to the development of production-grade systems with tangible business impacts. **What You'll Do:** - Develop and train computer vision models for tasks such as object detection, tracking, OCR, and image classification. - Utilize tools like YOLO, OpenCV, and Detectron2 to address visual automation challenges. - Integrate vision models with real-time video streams (RTSP) or batch-based pipelines. - Prepare and annotate image/video datasets using modern data labeling tools. - Collaborate closely with data engineers and software developers to deploy models at scale using APIs or edge systems. - Monitor and fine-tune model performance based on live deployment feedback. - Document training approaches, data pipeline steps, and model behavior to facilitate continuous improvement. **What We're Looking For:** - B.Tech / M.Tech in Computer Science, Electrical Engineering, or a related field. - 1-2 years of experience in building computer vision solutions. - Strong Python skills and experience with at least one deep learning framework (e.g., PyTorch, TensorFlow). - Familiarity with image/video preprocessing, model evaluation, and optimization techniques. - Experience working with live video feeds or edge inference pipelines is advantageous. - Knowledge of version control (Git) and exposure to deploying models on cloud platforms (Azure preferred). **Nice to Have:** - Experience with ONNX, model quantization, or edge deployment tools. - Exposure to CV data labeling platforms like CVAT, Label Studio, or SuperAnnotate. - Understanding of MLOps practices for model packaging, versioning, and monitoring.,

As a Machine Learning Engineer at Apple, you will have the opportunity to impact the future of Manufacturing through cutting-edge ML techniques. You will be working on groundbreaking applications of machine learning, research, and implementation that have the potential to change lives for the better. Your work will directly contribute to the optimization of processes, automation of quality control, and improvement of operational efficiency within Apple's supply chain for globally recognized products. In this role, you will collaborate with various engineering and operations teams to develop ML solutions for vision and language-based tasks. Your responsibilities will include crafting, designing, and implementing machine learning strategies for Apple's iPhone, Mac, and iPad supply chains. You will play a key role in fine-tuning Large Language Models (LLMs) and applying them in combination with Computer Vision (CV) techniques to address challenges in manufacturing environments. You will work alongside a vibrant team of machine learning engineers and data scientists to conceive, code, and deploy machine learning models at scale using industry-leading tools. Your role will involve developing scalable Computer Vision and Machine Learning algorithms, rapid prototyping for real-world manufacturing problems, and leveraging LLMs to automate document analysis and process optimization. Key Responsibilities: - Develop and deploy scalable Computer Vision and Machine Learning algorithms on local and cloud-based inferencing platforms - Design algorithms for real-world manufacturing problems in Intelligent Visual Inspection - Automate document analysis, knowledge extraction, and process optimization using Large Language Models - Collaborate with cross-functional teams to integrate ML applications and improve operational efficiency Minimum Qualifications: - Experience with 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, object detection, segmentation, and tracking - Masters in computer science, Machine Learning, or related field with 3+ years of industry experience - Experience deploying ML models in cloud environments for scalable production use Preferred Qualifications: - Strong grasp of deep learning principles in Computer Vision and Natural Language Processing - Familiarity with LLM architectures like BERT, GPT, and experience fine-tuning these models - Knowledge of machine learning and Deep Learning libraries such as PyTorch, OpenCV, Hugging Face - Experience with version control systems like Git and handling large datasets If you are passionate about influencing the quality, speed, and efficiency of ML algorithms and want to contribute to creating refined products, join us at Apple as a key contributor in developing machine learning solutions for diverse tasks and projects. Your expertise will help drive innovation and excellence in a fast-paced environment.,

You are invited to apply for the position of Assistant Professors/Associate Professors/Professors in the Department of Electronics and Communication Engineering at Amrita School of Engineering, Bengaluru Campus, as part of Amrita Vishwa Vidyapeetham. In this role, you will be focusing on the following required areas: - VLSI (Analog and RF) - Advanced Communication and Networks - Signal and Image Processing - Cloud Computing/IIoT - Cyber Physical Systems - Advanced Embedded Systems Your responsibilities will include conducting research in your field of specialization and the related areas mentioned above. You will also be involved in teaching and mentoring students in undergraduate and graduate programs, including PhD programs. Collaboration with academia and industry both within and outside the country on research projects is an essential part of this role. Additionally, publishing research findings in reputable conferences and journals is expected. To qualify for this position, you must possess: - Strong fundamentals in ECE and related areas - Demonstrated research experience in the relevant areas - A proven track record of taking initiatives and driving projects - Good communication and interpersonal skills - Ability to work effectively in a team and collaborate with colleagues This position falls under the teaching job category, and the deadline for applications is June 30, 2025.,

The Department of Electronics and Communication Engineering at Amrita Vishwa Vidyapeetham, Bengaluru Campus is seeking applications from qualified candidates for the positions of Assistant Professors/Associate Professors/Professors. Amrita Vishwa Vidyapeetham is looking for dynamic individuals to join as Assistant Professors/Associate Professors/Professors in the Department of Electronics and Communication Engineering at Amrita School of Engineering, Bengaluru Campus. The ideal candidates should hold a PhD qualification in the field. We are specifically interested in candidates with expertise in the following areas: - VLSI (Analog and RF) - Advanced Communication and Networks - Signal and Image Processing - Cloud Computing/IIoT - Cyber Physical Systems - Advanced Embedded Systems Key Responsibilities include conducting research in the specified areas, teaching and guiding students in undergraduate and graduate programs (including PhD), collaborating with academia and industry both locally and internationally on research projects, and publishing research outcomes in renowned conferences and journals. The successful candidates should possess strong fundamentals in Electronics and Communication Engineering and the related areas, have demonstrated research experience in the relevant fields, a proven history of initiating and leading projects, excellent communication and interpersonal skills, and the ability to work collaboratively in a team. This position falls under the teaching category with a requirement of 8 positions to be filled. The application deadline for this position is June 30, 2025. For further details, please contact tk_ramesh@blr.amrita.edu.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Identify opportunities where AI and machine learning can be applied to streamline processes, automate tasks, and enhance decision-making. Design end-to-end AI architectures that align with business objectives, considering data integration, model selection, and system scalability. Lead discussions on AI solution design, providing technical leadership and insights to drive decision-making. Lead the evaluation and selection of AI technologies, frameworks, and tools to support solution development. Experience with business process analysis, process automation, and operational efficiency improvement is an advantage. Excellent communication skills and the ability to work collaboratively with cross-functional teams. Stay at the forefront of AI advancements, researching and evaluating emerging technologies to ensure our solutions remain cutting-edge and competitive. Document architectural decisions, technical documentation that aids in solution understanding. Primary Skills: Overall 10+ years of experience in leveraging artificial intelligence and machine learning technologies to optimize and transform various aspects of our business operations. Minimum of 5 years of experience in designing and architecting AI solutions, with a strong focus on end-to-end automation. Secondary Skills: Proven expertise in machine learning techniques, deep learning frameworks, image processing, and AI-related technologies including Generative AI. Experience with one of the cloud platforms (e.g., AWS, Azure, Google Cloud). Work location: Pan India (Excluding Bengaluru) and Hybrid Work Mode. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.,

You are a talented and motivated Computer Vision Engineer with 4-12 years of experience, specializing in Image processing, Object detection, Yolo, Deep Learning (Pytorch/Tensorflow/Keras), and Machine Learning technologies. As a valuable member of our dynamic team, you will be responsible for developing, implementing, and optimizing cutting-edge AI solutions to enhance our products and services. Your responsibilities will include working on real-world computer vision problems, writing robust industry-grade algorithms, and utilizing OpenCV, Python, and deep learning frameworks to train models. You will be expected to work on Deep Learning technologies such as Keras, Tensorflow, PyTorch, among others, and develop integrations with various in-house or external microservices. Experience in deployment practices like Kubernetes, Docker, and model compression practices will be essential. Additionally, you will research the latest technologies, develop proof of concepts (POCs), and build and train state-of-the-art deep learning models to address Computer Vision-related challenges such as Segmentation, Object Detection, Classification, Objects Tracking, Visual Style Transfer, and Generative Adversarial Networks (GANs). Collaborating with other researchers and engineers, you will deploy solutions for complex real-world problems in the field of Computer Vision and plan research projects, defining objectives and outcomes. Your expertise should include C++, Python, Object Detection, Image Processing, Computer Vision, Deep Learning, Artificial Intelligence, Pattern Recognition, Machine Learning, Data Science, Generative Adversarial Networks (GANs), Flask, and SQL.,

As a Senior Geospatial Technology Engineer at our organization, you will play a key role in technology, data, analytics, engineering, and science solutions related to location. You will be an integral part of the Geospatial team within the Oil and Gas Technology sector, working with cutting-edge technologies and their practical applications. Collaboration with Geospatial Subject Matter Experts (SMEs), Digital Product teams, and business partners will be essential to deploy and enhance Geospatial technology, data, and analytical solutions across various domains such as Production, Projects, Subsurface & Wells, Crisis Management, Renewables, and Refining. Your responsibilities will include: - Developing innovative solutions and procedures to enhance efficiency and quality within the geospatial team and across products. - Utilizing geospatial technology for configuration and connectivity, including cameras, handheld devices, AR/VR equipment, sensors, GPS, and drones. - Managing geospatial data effectively, using spatial databases, spatial access methods, coordinate reference systems, image processing, and more. - Conducting geospatial analysis, involving query operations, spatial statistics, data mining, network analysis, and optimization. - Visualizing spatial data through map design, graphic representation techniques, web-based maps, applications, and dashboards. - Handling reality collection data formats, 3D models, and data integration for visualization and analysis, utilizing tools like FME and Databricks. - Demonstrating expertise in data-related technologies/languages such as Python, R, and Java Script, along with proficiency in the ArcGIS Desktop and Enterprise suite of tools. To excel in this role, you should have: - A track record of developing innovative solutions, challenging conventional thinking, and applying data science techniques. - Strong communication skills to engage with technical and non-technical audiences effectively. - The ability to have a business impact on key performance indicators (KPIs) and drive continuous improvement. - A minimum of 8 years of experience in a similar role, coupled with a degree in GIS, Geospatial, Geospatial Survey, Geographic Science, Computer Science, or related fields. Join us at bp, a global energy business dedicated to reimagining energy for people and the planet. By 2030, we aim to help the world achieve net zero emissions while enhancing lives and fostering a diverse and inclusive environment. This role may involve up to 10% travel and is eligible for relocation within the country. It offers a hybrid working model combining office and remote work environments. If selected, your employment may be subject to local policy adherence, including background checks and medical reviews.,

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud computing platforms and services.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Noida office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies effectively into existing systems and workflows. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Noida office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of large language models in AI applications.- Research and apply cutting-edge AI techniques like deep learning and neural networks.- Design and develop AI solutions using cloud AI services.- Collaborate with cross-functional teams to integrate AI technologies into various applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Responsible AI Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will develop applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring high-quality application pipelines, and integrating generative AI models into various projects. You will also explore advanced techniques such as deep learning, neural networks, and image processing to enhance the functionality and performance of the systems you create. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities and foster innovation.- Monitor project progress and ensure alignment with strategic goals and timelines. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Good To Have Skills: Experience with machine learning frameworks such as TensorFlow or PyTorch.- Strong understanding of cloud computing platforms and services.- Experience in developing and deploying AI models in production environments.- Familiarity with data preprocessing and feature engineering techniques. Additional Information:- The candidate should have minimum 5 years of experience in Responsible AI.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About the Role: We are looking for a Senior Software Engineer to work on core systems powering health data pipelines, secure user messaging, image uploads, and AI-enabled features. You will contribute to building robust microservices, efficient data pipelines, and modular infrastructure to support our next-gen health platform. Responsibilities: - Develop and maintain microservices for: - Health data exchange and real-time access - Chat/messaging and AI chatbot experiences - Image upload, parsing, and visualization pipelines - Write clean, testable code in Kotlin with Spring Boot - Work with Redis for caching, OpenSearch for fast querying, and PostgreSQL for persistence - Follow established engineering practices around testing, deployments, and logging - Participate in architectural discussions, code reviews, and optimization efforts - Work cross-functionally with QA, product, DevOps, and design teams Qualifications: - 47 years of backend engineering experience - Proficiency in Kotlin (or Java) and Spring Boot - Knowledge of Redis, OpenSearch, PostgreSQL - Experience building microservices and RESTful APIs - Exposure to messaging platforms, chat engines, or AI conversation systems - Basic understanding of image processing or file handling in backend systems - Comfortable in CI/CD, containerized deployments, and observability tooling Skills : - Kotlin, Spring Boot, Redis, OpenSearch, PostgreSQL, Docker Domain: Health-Tech, Image Processing, Messaging Systems, AI-Based Chat Interfaces, Kotlin, Spring Boot, Redis, OpenSearch, PostgreSQL, Docker Domain: Health-Tech, Image Processing, Messaging Systems, AI-Based Chat Interfaces

Skills: Python Framework, OCR Domain Expertise, Image Processing, Data Analytics, AI-ML, Flask API. Platform: AWS, Azure, Cloud, Windows, Linux. Senior Python Developer will be responsible for developing and maintaining high-quality software solutions using the Python programming language. Analyzing and defining software requirements Designing, coding, and testing Python applications Debugging and fixing software issues Writing clean, maintainable, and efficient code Mentoring and guiding junior developers Collaborating with cross-functional teams to develop new features Staying updated with the latest software development trends and technologies Evaluating software performance and making improvements as necessary Documenting software design, coding, and testing processes.