1140 Computer Vision Jobs - Page 21

Hiring for AIML Engineer - Bangalore Job Summary: We are looking for a passionate and skilled AI/ML Engineer to join our team. You will be responsible for designing, developing, and deploying machine learning models and AI-driven solutions that solve real-world problems and add value to our products and services. Key Responsibilities: Design and implement machine learning models and algorithms for classification, regression, clustering, NLP, or computer vision tasks. Work with large datasets, perform data preprocessing, cleaning, and feature engineering. Collaborate with data scientists, software engineers, and product managers to integrate ML models into production systems. Continuously monitor and improve the performance of AI/ML solutions. Research and stay up to date with the latest trends and advancements in AI/ML. Write efficient, reusable, and well-documented code. Required Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. Strong knowledge of Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, or Keras. Experience with data manipulation tools like Pandas, NumPy, and SQL. Understanding of supervised, unsupervised, and reinforcement learning algorithms.

Design, develop, and deploy machine learning and deep learning models for real-world applications. Analyze large-scale datasets using Spark and SQL to uncover trends and patterns. Collaborate with data engineers, analysts, and business stakeholders to define data-driven strategies. Build and maintain robust data pipelines and model training workflows. Communicate complex findings clearly through visualizations, presentations, and reports. Continuously explore and implement the latest advancements in AI and data science. What you'll Bring: bachelors or masters degree in Computer Science, Data Science, Statistics, or a related field. 4+ years of experience in data science or machine learning roles. Strong proficiency in Python and its data science ecosystem (Pandas, NumPy, Scikit-learn, etc). Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. Proficiency in Apache PySpark for distributed data processing. Advanced SQL skills for data manipulation and analysis. Solid understanding of machine learning algorithms, model evaluation, and deployment. Preferred Qualifications: Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with MLOps tools and practices. Experience with NLP, computer vision, or time-series forecasting. Strong analytical thinking and problem-solving skills

Ahmed Embassy is seeking a highly skilled and experienced AI/ML Lead to spearhead the development and implementation of cutting-edge artificial intelligence and machine learning solutions. The ideal candidate will have a strong background in AI/ML, a proven track record of leading successful projects, and the ability to mentor and guide a team of engineers and data scientists. This role requires a blend of technical expertise, leadership capabilities, and a strategic mindset to drive innovation and contribute to the companys overall objectives. Key Responsibilities: Lead the design, development, and deployment of AI/ML models and solutions. Oversee the entire lifecycle of AI/ML projects, from conception and data gathering to model training, evaluation, and deployment. Provide technical guidance and mentorship to the AI/ML team, fostering a collaborative and innovative environment. Stay up-to-date with the latest advancements in AI/ML technologies and identify opportunities for their application. Collaborate with cross-functional teams, including product management, engineering, and business stakeholders. Ensure the quality, performance, and scalability of AI/ML solutions. Manage project timelines, resources, and budgets effectively. Educational Qualifications: Masters or Doctoral degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Must-Have Skills: Strong proficiency in programming languages such as Python, R, or Java. Extensive experience with machine learning frameworks and libraries (eg, TensorFlow, PyTorch, scikit-learn). Deep understanding of machine learning algorithms, techniques, and best practices. Experience with data preprocessing, feature engineering, and model evaluation. Excellent communication, leadership, and problem-solving skills. Good-to-Have Skills: Experience with cloud computing platforms (eg, AWS, Azure, Google Cloud). Familiarity with big data technologies (eg, Hadoop, Spark). Experience in natural language processing (NLP) or computer vision. Experience with DevOps practices and model deployment.

Job Description About Signify Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond, At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career, Join us, and together, well transform our industry, making a lasting difference for brighter lives and a better world You light the way, More About The Role Were looking for a Data Scientist to work on Deep learning, machine learning, data mining, and statistical modelingfor providing predictive and prescriptive enterprise analytics Successful candidates will be expected to guide a team of Data Scientists, investigate state of the art techniques in advanced machine learning and statistical modeling, and design, develop, and deploy state-of-art, scalable systems for innovative analytics applications across various functional areas (e-g Finance, Sales, Marketing, Supply Chain, etc ) Applicants will be expected to work with a diverse set of data sources, such as time series data, graph data, semi-structured and unstructured data, and build statistical / machine-learning / Deep Learning/Gen AI models in support of on-demand, real-time analytic services The applicant should also have strong skills in explaining the analytic models and outcomes to business stakeholders, Youll be part of the Signifys Enterprise Data & Analytics team, based in Bangalore, More About You Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field 4+ years of hands-on experience in data science or a related field with demonstrated history of delivering analytics models and solutions Strong programming skills in Python, PySpark or other statistical programming languages Strong foundation in machine learning and deep learning algorithms and expertise in natural language processing (NLP) and computer vision techniques Experience with popular deep learning frameworks such as TensorFlow and PyTorch Research and explore the latest advancements in generative AI, including techniques like natural language processing (NLP), computer vision, and machine learning Develop and implement generative AI models and algorithms to address specific business challenges Train and fine-tune generative AI models using large datasets and industry-specific knowledge to improve accuracy and efficiency Knowledge of cloud platforms like AWS, GCP, or Azure Strong problem-solving skills, communication skills and the ability to think creatively and strategically with a focus on business outco Everything well do for you Opportunity to work on some of the highly complex and challenging business problems across a variety of functional and business domains, Competitive salary depending on experience, Extensive set of tools to drive your career, such as a personalized learning platform, training and coaching You can grow a lasting career here Well encourage you, support you, and challenge you Well help you learn and progress in a way thats right for you, with coaching and mentoring along the way Well listen to you too, because we see and value every one of our 30,000+ people, We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas With a global workforce representing 99 nationalities, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together,

Role & responsibilities: : Define and own the AI transformation strategy across the enterprise, aligned with business priorities and Group ITs digital roadmap. Identify, prioritize, and drive AI use cases that deliver measurable value across functions (e.g., R&D, supply chain, commercial, operations). Establish governance and standards for responsible AI development and usage (e.g., ethical frameworks, data privacy, model lifecycle management). Lead cross-functional teams to design, pilot, and scale AI solutionspartnering with data scientists, engineers, business analysts, and IT delivery teams. Act as a trusted advisor to senior leaders on AI trends, capabilities, and value potential, translating complex concepts into actionable insights. Develop and mature AI capabilities across the organization, including platform selection, talent development, and operating model evolution. Foster a culture of innovation and experimentation, championing AI literacy and embedding agile, data-driven thinking into the organization. Monitor industry trends and emerging technologies, bringing external perspective to shape internal AI innovation. Preferred candidate profile: Proven experience in leading AI, data science, or digital transformation programs at scale. Strong understanding of AI/ML technologies, enterprise IT environments, and data ecosystems. Demonstrated ability to bridge strategy and execution, with a track record of delivering business outcomes through AI. Excellent stakeholder management and communication skills, especially with non-technical audiences and executive leadership Experience in regulated industries (e.g., life sciences, finance, healthcare) is an advantage. Bachelor's or masters degree in computer science, Data Science, Engineering, or related field. MBA or equivalent business qualification is a plus.

Are you interested in improving the Digital Reading Experience. We are from Kindle Books Team looking for a Manager in Applied Science who will be managing the Applied Scientists. The team is looking to take the reading experience in Kindle to next level with a set of innovations! We are building a holistic team focused on leveraging advances in AI to improve the Reading experience for Kindle customers, and this role is specifically for a Manager, Applied Science who will focus on grooming the team, working with other science teams, influencing the product strategy & team vision and bringing the state-of the art innovations for improving Reading experience. The manager will be managing the Scientists to bring in state of the art solutions to improve Reading experience. You invent and design new solutions for scientifically-complex problem areas You design experiments and define the science approach to solve critical business use-cases for automating manual work that involves unstructured text, documents, images, symbols, etc. Your work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined. You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You provide a system-wide view and design guidance for solutions that can be brand new or evolve from existing ones. You apply and set the example for best practices in software engineering, and systematically peer review code written by your team members. You set standards and proactively drive components to use and improve on state-of-the-art techniques. You autonomously drive thoughtful discussions with customers, engineers, and scientist peers, and build consensus on larger projects and factor complex efforts into independent tasks that can be performed by you and others. You hire, groom and grow Applied Scientists & ML engineers. 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval and Analytics Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

Solve Real-World Problems with Computer Vision & Deep Learning At NxtHyre, we re connecting exceptional AI talent with ambitious teams solving frontier challenges in 3D vision, edge AI, and real-time deployment. One such team is building a deep-tech product at the intersection of CV, AR/VR, and NVIDIA-powered edge systems and theyre looking for a Computer Vision + DL Engineer to join their mission. What Theyre Looking For: 4+ years in CV/DL Hands-on with PyTorch, TensorFlow, OpenCV Bonus: NVIDIA Jetson/Xavier, AR/VR, AWS If you re excited to work on AI that ships and scales let s talk. We ll help you explore opportunities that align with your skills, purpose, and pace. Role Responsibilities: Developing and optimizing computer vision algorithms for real-time applications. Collaborating with cross-functional teams to integrate CV/DL solutions into products. Implementing and deploying deep learning models on edge devices. Conducting research and staying updated with the latest advancements in CV/DL. Troubleshooting and improving existing AI models and systems for performance and accuracy. Documenting development processes, experiments, and results.

Responsibilities Design, implement, and optimize ROS 2-based applications for autonomous robots using C/C++, Python, and related tools Develop and deploy ROS 2 applications for both Linux and embedded firmware platforms, ensuring high efficiency and reliability Work with embedded boards and platforms, utilizing Yocto build, Docker containers, and installing ROS 2 packages on target hardware Utilize ROS 2 and Micro-ROS middleware for building communication between different nodes and layers of the robotic system Have a deep understanding of ROS architecture, including the functionality and interaction between layers such as rclcpp, rclpy, rmw, and other key components (DDS, rmw_microxrcedds, micro-ROS-Agent, etc) Work on Simultaneous Localization and Mapping (SLAM), Visual SLAM (VSLAM), and integrate computer vision solutions to enhance robotic navigation and perception Implement and optimize computer vision algorithms and deep learning models to improve object detection, recognition, and environmental interaction Familiarity with simulation tools like Omniverse and Isaac Sim to model, test, and simulate robotic systems before deployment Debug, troubleshoot, and optimize robot performance, ensuring high responsiveness and real-time capabilities in dynamic environments Collaborate with cross-functional teams to deliver high-quality robotic solutions, maintaining comprehensive documentation for design, code, and processes

Job_Description":" Design, develop, and train ML/DL models for classification, regression, and generative tasks. Work with LLMs and GenAI tools such as GPT, BERT, Stable Diffusion, or DALL E. Fine-tune pretrained models on custom datasets for NLP, CV, or audio tasks. Perform data wrangling, preprocessing, and augmentation for model readiness. Assist in building pipelines for training, evaluation, and deployment of models. Stay updated on the latest AI/ML/GenAI research and tools. Collaborate with research and product teams to integrate intelligent features into applications. Requirements Solid knowledge of Python and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). Understanding of ML concepts: supervised/unsupervised learning, overfitting, bias/variance, etc. Exposure to NLP or Computer Vision techniques. Familiarity with transformer models (e.g., GPT, BERT) and prompt engineering. Experience using Hugging Face Transformers, OpenAI API, or similar GenAI libraries. Basic knowledge of model evaluation (accuracy, precision, recall, F1-score). Good communication and teamwork skills. ","

Position: AI ML Engineer Job Description: 2 to 5+ years of experience in understanding the problem statement, data handling/triage, selecting and improving neural network models using deep learning frameworks to solve business problems. Excellent hands-on Coding in Python (mandatory), C/C++ or Java. Experience in developing AI/ML/DL models by using transfer learning or from scratch. Reasonably good knowledge on leading deep learning frameworks like Tensorflow, PyTorch, ONNX, Keras and others. Working experience in computer vision models like Yolo, Mobilenet, Resnet etc. Good understanding and working knowledge of AI/ML/DL on Edge (for e.g. Nvidia Jetson family, Qualcomm, Intel, Rpi). Thorough understanding and experience of DL/AI/ML lifecycle - full neural network pipeline, starting from data collection to model building to experimental framework to data analytics. Developed/optimized various models in computing domain (Video, Statistics , Audio and others). Demonstrated experience in completing data science projects with or without minimal supervision. Must possess conceptual understanding of various modelling techniques, pros and cons of each technique. Added Advantage: Proven record of migrating Al/ML/DL models/algorithms to low level platforms. Familiar with optimizing code for minimal usage of CPU and memory. Location: IN-GJ-Ahmedabad, India-Ognaj (eInfochips) Time Type: Full time Job Category: Engineering Services

About Bosc Tech Labs Bosc Tech Labs is a leading technology company dedicated to building innovative AI-driven solutions. Our team is passionate about leveraging the latest advancements in AI/ML to solve real-world problems. We offer a collaborative work environment where innovation, creativity, and professional growth are encouraged. Job Summary We are looking for a highly skilled Senior AI/ML Engineer with expertise in Computer Vision and Natural Language Processing (NLP) to join our team. The ideal candidate will be responsible for designing, developing, and deploying AI/ML models while optimizing performance for real-world applications. If you are passionate about solving complex problems with cutting-edge technologies, we would love to hear from you! Key Responsibilities Design, develop, and deploy AI/ML models for Computer Vision and NLP applications. Work with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Develop and optimize object detection, image classification, and segmentation models. Implement NLP techniques such as text classification, named entity recognition (NER), summarization, and sentiment analysis. Preprocess and clean large datasets for training and evaluation. Fine-tune pre-trained models (e.g., BERT, GPT, ViT, YOLO, DETR) for specific tasks. Deploy AI models into production using REST APIs, Flask, FastAPI, or TensorFlow Serving. Utilize cloud platforms like AWS, GCP, or Azure for scalable AI/ML solutions. Conduct research on state-of-the-art AI advancements and implement innovative solutions. Work with Large Language Models (LLMs) like OpenAI s GPT, LLaMA, or Claude. Collaborate with cross-functional teams including data engineers, software developers, and product managers. Required Skills & Qualifications Bachelor s/Master s degree in Computer Science, AI/ML, or a related field. 4+ years of experience in AI/ML, Computer Vision, and NLP. Proficiency in Python and libraries such as NumPy, Pandas, OpenCV, and Transformers. Strong experience in deep learning frameworks like TensorFlow, PyTorch, or JAX. Hands-on experience in training, fine-tuning, and deploying ML models. Experience with cloud platforms (AWS, GCP, or Azure) for AI/ML solutions. Solid understanding of MLOps, model deployment, and monitoring techniques. Knowledge of database and big data technologies such as SQL, NoSQL, or Spark is a plus. Preferred Qualifications Experience in edge AI or real-time AI applications. Familiarity with vector databases and retrieval-augmented generation (RAG). Contributions to open-source AI/ML projects or published research papers.

Position: AI ML Engineer Job Description: 2 to 5+ years of experience in understanding the problem statement, data handling/triage, selecting and improving neural network models using deep learning frameworks to solve business problems. Excellent hands-on Coding in Python (mandatory), C/C++ or Java. Experience in developing AI/ML/DL models by using transfer learning or from scratch. Reasonably good knowledge on leading deep learning frameworks like Tensorflow, PyTorch, ONNX, Keras and others. Working experience in computer vision models like Yolo, Mobilenet, Resnet etc. Good understanding and working knowledge of AI/ML/DL on Edge (for e.g. Nvidia Jetson family, Qualcomm, Intel, Rpi). Thorough understanding and experience of DL/AI/ML lifecycle - full neural network pipeline, starting from data collection to model building to experimental framework to data analytics. Developed/optimized various models in computing domain (Video, Statistics , Audio and others). Demonstrated experience in completing data science projects with or without minimal supervision. Must possess conceptual understanding of various modelling techniques, pros and cons of each technique. Added Advantage: Proven record of migrating Al/ML/DL models/algorithms to low level platforms. Familiar with optimizing code for minimal usage of CPU and memory. Location: IN-GJ-Ahmedabad, India-Ognaj (eInfochips) Time Type: Full time Job Category: Engineering Services

Are you passionate about applying machine learning and statistical modeling to revolutionize financial systems that handle billions of dollars in transactions Our team faces a unique challenge: developing intelligent systems to process, analyze, and derive insights from massive financial datasets generated across Amazons global operations. This includes millions of customer transactions, vendor payments, inventory movements, commission calculations, and tax collections across hundreds of jurisdictions worldwide. As an Applied Scientist, you will: Design and implement novel machine learning solutions for complex financial problems Work with large-scale distributed systems and real-time data processing Develop automated decision-making systems for financial workflows Create scalable algorithms that balance accuracy, latency, and computational efficiency Collaborate with software engineers to productionize ML models The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific programming (Python, R, or similar) communication skills to collaborate with cross-functional teams Passion for mentoring and technical leadership Youll join a team that values innovation and scientific rigor, working alongside world-class engineers and scientists. Youll have the opportunity to influence the architecture of next-generation financial systems while solving novel problems in machine learning and automated decision-making. The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific programming (Python, R, or similar) Communication skills to collaborate with cross-functional teams Passion for mentoring and technical leadership About the team The Disputes management team manages systems handling vendor billing disputes across Amazons global operations. These disputes arise from invoice matching discrepancies, resulting in short payments due to quantity and price variances, as well as receivables from vendor returns and other deductions. The Dispute Management System enables dispute creation through multiple channels (Vendor Central, FinOps Central), provides automated research and recommendations, and facilitates communication between vendors and FinOps analysts. Our platform streamlines the entire dispute lifecycle, from initial filing through final resolution, ensuring accurate handling of financial claims while maintaining strong vendor relationships. Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing B.tech/M.tech/Phd Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms Experience in professional software development

Responsibilities Requirements Qualification Experience Design and implement software for embedded systems, focusing on constrained devices and real-world applications Develop robust, efficient code in C/C++ (core expertise required) and Python (optional), ensuring high performance and maintainability Utilize frameworks like TensorFlow, PyTorch, and OpenVino to build cutting-edge edge computing and embedded machine learning solutions Optimize software for performance and resource utilization in constrained environments, including AI accelerators and multimedia processing Leverage experience with computer vision and multimedia codecs/frameworks such as GStreamer, OpenMAX, and OpenCL to create advanced applications Develop and maintain applications for platforms like Linux, FreeRTOS, mBed, and Zephyr, ensuring reliability and efficiency Work with development boards (TI, Nvidia, Renesas, etc) and architecture-specific designs (ARM Cortex-M/A, RISC-V) Tackle complex technical challenges with strong analytical skills, including software testing, bug-fixing, and system optimizatio At least 3+ years of experience in developing software for embedded systems Strong programming proficiency in C/C++ (Please apply only if you are good at C/C++) Familiarity with Python is desired Exposure to edge computing and embedded ML platforms/frameworks like TensorFlow, Pytorch, OpenVino, etc Hands-on experience in developing software for constrained systems and devices Additional focus on optimization would be desirable Hands-on experience on computer vision, multimedia codecs and/or frameworks like GStreamer, OpenMAX, OpenCL would be a significant plus Experience with OS platforms like Linux, FreeRTOS, mBed, Zephyr Strong analytical and problem-solving abilities Good exposure to software engineering aspects like testing, bug-fixing, configuration management and code reviews Keen interest in keeping abreast with the latest advancements in technology and ability to ramp-up quickly Familiarity with development boards like TI, Nvidia, Renesas or any other Good understanding of computer architectures like ARM Cortex-M/Cortex-A, RISC-V etc Experience in hardware platform-specific code optimization would be desirable (AI accelerators, image or video) Bachelors degree in computer science/ Graduation / Post Graduation 3+ Years Our Services

Responsibilities Design and implement software for embedded systems, focusing on constrained devices and real-world applications Develop robust, efficient code in C/C++ (core expertise required) and Python (optional), ensuring high performance and maintainability Utilize frameworks like TensorFlow, PyTorch, and OpenVino to build cutting-edge edge computing and embedded machine learning solutions Optimize software for performance and resource utilization in constrained environments, including AI accelerators and multimedia processing Leverage experience with computer vision and multimedia codecs/frameworks such as GStreamer, OpenMAX, and OpenCL to create advanced applications Develop and maintain applications for platforms like Linux, FreeRTOS, mBed, and Zephyr, ensuring reliability and efficiency Work with development boards (TI, Nvidia, Renesas, etc) and architecture-specific designs (ARM Cortex-M/A, RISC-V) Tackle complex technical challenges with strong analytical skills, including software testing, bug-fixing, and system optimizatio Requirements At least 3+ years of experience in developing software for embedded systems Strong programming proficiency in C/C++ (Please apply only if you are good at C/C++) Familiarity with Python is desired Exposure to edge computing and embedded ML platforms/frameworks like TensorFlow, Pytorch, OpenVino, etc Hands-on experience in developing software for constrained systems and devices Additional focus on optimization would be desirable Hands-on experience on computer vision, multimedia codecs and/or frameworks like GStreamer, OpenMAX, OpenCL would be a significant plus

As a Watson AI Deveoper, you woud be responsibe for deveoping and depoying chaenging AI /Chatbot soutions using IBM Watson suite of products with fair knowedge on Python/Java. Be a trusted Advisor of the Customer for AI / Conversationa use cases. Work for smooth deivery of assigned projects Research and impement appropriate Watson AI agorithms and toos Design and soutioning of new requirements Deveop machine earning appications according to requirements Abiity to work independenty and as part of a team in a fast-paced, dynamic deveopment environment. Mentor / ead team in the engagements Be a hands-on person and deiver. Wi be invoved in product instaation/ configurations, troubeshooting (performance, 3rd party integrations, security) Based on customer requirements, deiver the depoyment Work across timezones based on customer requirements Required education Bacheor's Degree Preferred education Bacheor's Degree Required technica and professiona expertise 7+ years’ experience of overa experience 4+ years Experience in AI and ML technoogy Knowedge on Generative AI Watson Assistant, Watson Discovery, Watson Studio, Watsonx.ai ETL Databand Sou Machines Digita Avatar Integrations Any courses on Coud, IBM products from coursera, Udemy, IBM cognitive etc Quick Learner, wiingness to earn, hardworking and expore/pick-up the skis on their own. Working knowedge on Linux (RHEL, CoreOS, Ubuntu) Depoying software’s on top of Linux and troubeshoot inux reated issues. Good hands-on She scripting, Python, Ansibe, Java Working knowedge with Git, ecipse, docker/podman, kubernets, Jenkins. Knowedge on Dev/ops & Monitoring.

Work with broader team to buid, anayze and improve the AI soutions. You wi aso work with our software deveopers in consuming different enterprise appications Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Resource shoud have 5-7 years of experience. Sound knowedge of Python and shoud know how to use the ML reated services. Proficient in Python with focus on Data Anaytics Packages. Strategy Anayse arge, compex data sets and provide actionabe insights to inform business decisions. Strategy Design and impementing data modes that hep in identifying patterns and trends. Coaboration Work with data engineers to optimize and maintain data pipeines. Perform quantitative anayses that transate data into actionabe insights and provide anaytica, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data patform. Deveop and maintain data modes, agorithms, and statistica modes Preferred technica and professiona experience Experience with conversation anaytics. Experience with coud technoogies Experience with data exporation toos such as Tabeu

Responsibilities: * Design vision systems using OpenCV & Deep Learning with PyTorch * Develop image processing algorithms for sensor data analysis * Collaborate on computer vision projects from concept to implementation

The Video Perception (ViPER) team is responsible for developing cutting-edge solutions for Advanced Driver Assistance Systems (ADAS). Our team is responsible for developing end-to-end solutions by leveraging the latest advancements in the field of computer vision/deep learning. Our goal is to drive the future of autonomous driving systems by providing reliable, high-performance video perception systems. As part of the ViPER team, your role would entail helping us in developing L3/L4 ADAS, which would primarily involve (1) Understanding of the underlying data, derive insights/patterns/failures (2) Based on the underlying unstructured unsupervised data, come up with methods for enabling efficient searching of data (3) Derive experiments to develop perception models using this data, introducing cycles of experiments, analysis & validation Requirements Strong technical background. At least a Bachelors/Master of Engineering in Computer Science or Electrical Sciences or related areas with 4 years of industry experience in designing and implementing perception algorithms Skilled software engineer with experience in C++ and strong problem-solving skills Passionate about solving real-world robotics problems: ideally worked on autonomous driving systems before. Prior knowledge of working with deep neural networks is a strong plus. A team player: You take ownership and work with the team to deliver exceptional results Ability to build and iterate quickly (AGILE mindset). You enjoy working fast and smart, and you are comfortable in the earlier stages of developing an algorithm from scratch Good hands on: You dig deep into important details such as the sensor driver if it improves the overall system. You like working with production machine learning pipelines, from dataset collection and labeling to training and validation Great communicator: You have experience writing clear, concise, and detailed documentation. You should be able to explain technical solutions clearly to non-technical/different audience Skills Strong knowledge in DL (3yrs min) : few-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, large scale image and video detection and recognition Hands on experience in Full stack Vision/Image related projects in production (3yrs min) Data: Spark, Hadoop (user level), visualization, data preparation, data handling, understanding data Model: Tensorflow 2+ & PyTorch Deployment: Docker, Flask, Kubernetes Cloud deployment: Azure/AWS Other skiils: Git, Linux, Cuda, OpenMP, Distributed systems

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem We are a leader in fleet safety solutions With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth, About Netradyne Founded in 2015, Netradyne is a technology company that leverages expertise in Artificial Intelligence, Deep Learning, and Edge Computing to bring transformational solutions to the transportation industry Netradynes technology is already deployed in thousands of vehicles; and our customers drive everything from passenger cars to semi-trailers on interstates, suburban roads, rural highways?even off-road, Netradyne is looking for talented engineers to join our Analytics team comprised of graduates from IITs, IISC, Stanford, UIUC, UCSD etc We build cutting edge AI solutions to enable drivers and fleets realize unsafe driving scenarios in real-time to prevent accidents from happening and reduce fatalities/injuries, Role And Responsibilities You will be embedded within a team of machine learning engineers and data scientists, responsible for building and productizing generative AI and deep learning solutions, You will: Design, develop and deploy production ready scalable solutions that utilizes GenAI, Traditional ML models, Data science and ETL pipelines Collaborate with cross-functional teams to integrate AI-driven solutions into business operations, Build and enhance frameworks for automation, data processing, and model deployment, Utilize Gen-AI tools and workflows to improve the efficiency and effectiveness of AI solutions, Conduct research and stay updated with the latest advancements in generative AI and related technologies, Deliver key product features within cloud analytics, Requirements: Tech, M Tech or PhD in computer science, electrical engineering, statistics or math, At least 5 years of working experience in data science, computer vision, or related domain, Proven experience with building and deploying generative AI solutions, Strong programming skills in Python and solid fundamentals in computer science, particularly in algorithms, data structures, and OOP, Experience with Gen-AI tools and workflows, Proficiency in both vision-related AI and data analysis using generative AI, Experience with cloud platforms and deploying models at scale, Experience with transformer architectures and large language models (LLMs), Familiarity with frameworks such as TensorFlow, PyTorch, and Hugging Face, Proven leadership and team management skills, Desired skills: Working experience with AWS, Azure AI tools is a plus, Technologies such as: Kafka streams, Queues, Rest API systems, Programing language: Python, SQL, C++ (good to have) Tools: Pytorch, FastAPI, MLFlow, Hugging face pipelines, Langgraph, OpenAI Knowledge of best practices in software development, including version control, testing, and continuous integration We are committed to an inclusive and diverse team Netradyne is an equal-opportunity employer We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status, If there is a match between your experiences/skills and the Company's needs, we will contact you directly, Netradyne is an equal-opportunity employer, Applicants only Recruiting agencies do not contact, Recruitment Fraud Alert! There has been an increase in fraud that targets job seekers Scammers may present themselves to job seekers as Netradyne employees or recruiters Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind Official communication about your application will only come from emails ending in ?@netradyne,or ?@us-greenhouse-mail io, Please review and apply to our available job openings at Netradyne,/company/careers For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website,

Position: AI Engineer Computer Vision & Deep Learning Location: Work From Office Hyderabad Hiring an AI Engineer having 5+ years of hands-on experience in AI, Machine Learning, and Computer Vision technologies. InovarTech is a dynamic and innovative IT service and consulting company dedicated to providing cutting-edge solutions to our clients. With a focus on excellence, collaboration, and continuous improvement, we are committed to delivering superior results and fostering a positive and inclusive work environment. We are seeking a skilled AI Engineer with 5+ years of expertise in Computer Vision and Deep Learning. The ideal candidate will have a strong track record of building innovative, production-ready AI solutions. Proficiency in developing robust ML models and applying modern AI frameworks is essential. Responsibilities: Strong hands-on experience in Python programming. Proven expertise with PyTorch and TensorFlow frameworks. Experience working with NumPy, Pandas and OpenCV libraries. Solid understanding and hands-on experience in Computer Vision and Image Processing (SIFT, SURF). Expertise in designing and implementing Neural Networks, including CNN architectures such as ResNet, YOLO or VGG. Proficiency in RNN, RCNN, LSTM or GRU models for sequence-based data. Experience in Video Analysis techniques and solutions. Ability to preprocess, clean, and manipulate large volumes of unstructured image/video data. Experience in training, fine-tuning, and deploying deep learning models. Understanding of model evaluation, hyperparameter tuning, and optimization techniques. Excellent problem-solving skills and ability to translate business problems into AI/ML solutions. Familiarity with cloud platforms and deployment of AI models will be a plus. Strong communication and presentation skills. Ability to collaborate and drive discussions with internal teams and clients. Requirements: Hands-on experience in building and deploying AI/ML solutions. Experience with Computer Vision tasks such as object detection, classification, segmentation, and tracking. Proficiency in model optimization for real-time applications. Good understanding of Machine Learning lifecycle and MLOps. Ability to write clean, modular, and scalable code. Should be willing to learn and adopt new AI technologies as per project needs. Experience supporting global clients/working with international teams is a plus. Should be willing to travel abroad based on customer requirements. Ability to mentor junior members in the team. Additional Information: Competitive salary and performance-related bonuses. Comprehensive health and accident insurance plans. Professional development opportunities. Flexible work arrangements. 5-day work week. Fun and inclusive company culture.

Building models using best inclass ML technology. Training/fine tuning modelswith new/modified training dataset. Selecting features, buildingand optimizing classifiers using machine learning techniques Data mining usingstate-of-the-art methods Processing, cleansing, andverifying the integrity of data used for analysis Enhancing data collectionprocedures to include information that is relevant for building analyticsystems Technical skills Mandatory 3 to 8 years of experience as MachineLearning Researcher or Data Scientist Graduate in Engineering,Technology along with good business skills Good applied statistics skills,such as distributions, statistical testing, regression, etc. Excellent understanding ofmachine learning techniques and algorithms including knowledge about LLM Experience with NLP. Good scripting and programmingskills in Python Basic understanding of NoSQLdatabases, such as MongoDB, Cassandra Nice to have Exposure to financial researchdomain Experience with JIRA,Confluence Understanding of scrum andAgile methodologies Experience with datavisualization tools, such as Grafana, GGplot, etc. Soft skills Oral and written communicationskills Good problem solving andnegotiation skills Passion, curiosity andattention to detail

Position Title Head (AI/ML) Reporting to CTO and Founder, Advisory Board. Job locations - Gurugram Role Description This is a full-time on-site role for a Head (AI/ML) in Gurugram. The Head will be responsible for leading the AI/ML strategy and implementation, overseeing software development, managing IT projects, defining IT strategies and architectures, and driving product development initiatives. The candidates should be at least 10 years experience with 3-5 year in the field of AI/ML. Exposure to healthcare will be added advantage. Qualifications Software Development skills Project Management skills IT Strategy and Architecture expertise Product Development experience Strong background in AI/ML technologies Excellent leadership and communication skills Ability to collaborate with cross-functional teams Experience in the healthcare IT industry is a plus Master's degree in Computer Science or related field Education qualification Master in Computer Science or equivalent Experience range 10 years with 3 4 year in AI/ML Mandatory skills, domain etc Please submit your resume along with a cover letter highlighting your relevant experience and skills & other details like Current CTC (fixed plus variable) Offer in hand (fixed plus variable) Expected CTC Notice period Current Location Open to work from office at Gurgaon Experience in Healthcare domain( good to have) Hands on experience and self rating in the scale of 10 , 10 being the maximum 1. GenAI 2. Predictive AI 3. LLM 4. DL 5. NLP 6. Computer vision/ Assuring you of the best assistance in search of the right career opportunity Thanks & Regards, Surender Intelli Search Services Pvt Ltd, Email: sp@intellisearchonline.net Mobile: 9590270707

Hi All, We are hiring an Machine Learning Engineer for MNC Company AI/ML Engineer Experience- 9- 14 Years Location- Bangalore/Hyderabad/Mumbai/Kolkata Work Mode- Hybrid Mode Interview Mode- Virtual Notice Period- Immediate Joiner Job Description: - Skills- ML Engineer (Advanced AI/ML + Python)- C2/D1 This role leverages machine learning & advanced AI services to generate business insights • 8+ Years of relevant experience in Machine learning & Deep learning (GenAI-optional) experience • Experience in deploying NLP, CV & Deep learning algorithms • Experience in leading teams and managing the end-to-end deliverables. Exposure to MLOps implementations • Leadership abilities to guide and mentor junior team members. • Design and implement scalable and reliable ML pipelines for model training, evaluation and deployment • Advanced degree in Data Science, Statistics, Computer Science, or a related field. • Proficiency in Python, Git, Github,Pyspark, Pytorch, , SQL and strong expertise of AI/ML algorithms is essential with knowledge of AWS cloud ML services. • Strong analytical skills & communication skills. Ability to interpret complex data sets. Responsibilities- Lead the development and implementation of predictive models and machine learning algorithms. • Design and implement scalable and reliable ML pipelines for model training, evaluation and deployment • Collaborate with CMA CGM cross-functional teams to understand business needs and devise possible solutions. • Present and visualize data insights to stakeholders in a comprehensible manner. If Anyone intertested for this position plesase share your Resume on this Mail id- Priya.singhal@thehrsolutions.in Regards & Thanks Priya Singhal

vConstruct , a Pune based Construction Technology company seeks a Project Manager for their AI/ML team which is a tight-knit group of Data Scientists and AI Engineers along with Data Analysists and Data Engineers that support all data aspects of DPR business. This team drives up with passion of Transforming this Construction Industry by the use of cutting edge technology enabled with strong AI/ ML Solutions. Here, each and every data point starting from Pre-Construction to Post-Construction process are touch-based to leverage this data for getting predictable outcomes and automating processes for better efficiency. This team helps on various domains of construction such as Scheduling, Planning, Supply Chain, Safety, Quality Control, Site Management, Financials, & Virtual Design Construction in every phase of projects. Gain the opportunity for working over Computer Vision, Predictive, Gen AI & LLM related use cases with variety of tech stack included for implementation. Majorly, MS Azure AI Services, Open AI, CV Libraries and ML for predictive outcomes with Stats as base. Glimpse of Projects: - Creation of GPT for Construction Industry on Construction Data (Unstructured & Structured Data). - Use Computer Vision to help Object Detection on 2D Drawings and 3D BIM Models - Detailed use of Stats frameworks for Predicting Losses on Construction Site Data or to predict win/ loss of opportunities with clients. Predict Quantities required for similar type of sites etc. - Automation AI has deep integration with other groups of Construction Operations to automate our current work processes and make them more efficient using pre-built Models, Azure ML Services or other ML Techniques. Be a part of this vision of Transforming Construction Industry by Use of Technology and play vital role with talented team within vConstruct. If you're interested in contributing to construction technology within the AI/ML space, gaining exposure to the latest technologies, and working directly with end customers, please apply via the link. Key Responsibilities: Project Planning & Execution Define and manage AI/ML project scope, timelines, deliverables, and risk profiles. Build detailed project roadmaps with clear milestones and sprint plans. Oversee the complete AI lifecycle from use-case discovery to model deployment. Cross-Functional Collaboration Act as the strategic link between data scientists, ML engineers, ML Ops, domain SMEs, and Initiative Leads. Facilitate agile ceremonies including sprint planning, retrospectives, and stakeholder reviews using GitHub or Azure DevOps. Risk & Dependency Management Anticipate and mitigate risks around data readiness, infrastructure, and cross-team dependencies. Manage change control, escalations, and course corrections proactively. Governance & Documentation Maintain complete project documentation including use case briefs, dashboards, decision logs, and ROI reports. Ensure compliance with internal standards, policies, and AI governance frameworks. Qualification: Bachelors or Masters in engineering, Data Science, Computer Science, or related field. Certifications in PMP, PMI-ACP, or Agile/Scrum methodologies. Relevant PM Degrees in case any. Familiarity with cloud-based AI platforms (Azure ML, AWS Sagemaker, etc.) 8-10 years of professional experience with atleast 4 years of experience in data science, machine learning, and analytics, with a proven track record of delivering impactful data-driven solutions. Experience working in dynamic, fast-paced environments, with the ability to manage multiple projects simultaneously as well as should be able to do production or work on project personally as required. Proven Experience, Strong business acumen and ability to translate technical insights into actionable business strategies & communicate to stakeholders in business language. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Technical Skills: Understanding of Python & SQL will be good to have. Proficiency in ML, AI & Statistics frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Familiarity with cloud platforms (AWS, Azure preferably), knowledge about Azure ML Services & Snowflake would be plus one Good to have knowledge of NLP(Natural Language Processing) and Computer Vision. About vConstruct : vConstruct specializes in providing high quality Building Information Modeling and Construction Technology services geared towards construction projects. vConstruct is a wholly owned subsidiary of DPR Construction. VConstruct has 100+ team members working on Software Development, Data Analytics, Data Engineering and AI/ML. We have matured Data Science practice and growing at accelerated pace. For more information, please visit www.vconstruct.com About DPR Construction: DPR Construction is a national commercial general contractor and construction manager specializing in technically challenging and sustainable projects for the advanced technology, biopharmaceutical, corporate office, and higher education and healthcare markets. With the purpose of building great things, great teams, great buildings, great relationshipsDPR is a truly great company. For more information, please visit www.dpr.com