We are seeking a highly skilled AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities: Implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, ie. revenue, engagement, and customer satisfaction. Collaborate with data product managers, software engineers and SMEs to identify AI/ML opportunities for improving process efficiency. Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up-to-date with the latest in machine learning and artificial intelligence, and influence AI/ML for the Life science industry. Stay up-to-date with the latest in machine learning and artificial intelligence, and influence AI/ML for the Life science industry. Requirements 2 - 4 years of experience in AI/ML engineering, with a track record of handling increasingly complex projects. Strong programming skills in Python, Rust. Experience with Pandas, NumPy, SciPy, OpenCV (for image processing) Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch. Experience with GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs. Experience with one or more Graph DBs - Neo4J, ArangoDB Experience with MLOps platforms, such as Kubeflow or MLFlow. Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems. Thorough understanding of software product development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. Benefits We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

Management Level Ind & Func AI Decision Science Analyst Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 1-3 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 1-3 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Master's degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 1-3 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Master’s degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

5+ years of exp in developing and deploying machine learning models & Team Lead. Programing Language: C++/Python OpenCV, OpenVino, TensorRT, TensorFlow, PyTorch, NVIDIA Deepstream SDK, etc. Cloud: AWS/GCP/Azure. Video Analytics/Image Processing.

We are looking to hire a talented Mobile-based Application Developer for a consultancy project at VIT, Vellore . The ideal candidate should have hands-on experience in building and deploying Android applications and be comfortable working in a cross-functional environment involving electronics integration and AI/ML components. Technical Skills 1. Mobile app development: Proficiency in developing mobile apps for Android and/or iOS using Java, Swift, Kotlin, or React Native. 2. Real-time image/video processing: Experience with real-time image/video processing using frameworks like OpenCV, TensorFlow Lite, or Core Image. 3. AI/ML integration: Knowledge of integrating AI/ML models into mobile apps using frameworks like TensorFlow, PyTorch, or Core ML. 4. Computer vision: Understanding of computer vision concepts, including object detection, facial recognition, and image segmentation. 5. Camera integration: Experience with integrating mobile device cameras into apps, including handling camera feeds, image capture, and video recording. 6. Cloud services: Familiarity with cloud services like AWS, Google Cloud, or Microsoft Azure for storing, processing, and analyzing image/video data. AI/ML Skills 1. Machine learning frameworks: Knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. 2. Deep learning: Understanding of deep learning concepts, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transfer learning. 3. Model optimization: Experience with optimizing AI/ML models for mobile devices, including model pruning, quantization, and knowledge distillation. Soft Skills 1. Problem-solving: Strong problem-solving skills, including debugging and troubleshooting complex AI/ML-based systems. 2. Communication: Effective communication skills, including explaining technical concepts to non-technical stakeholders. 3. Collaboration: Ability to collaborate with cross-functional teams, including AI/ML engineers, designers, and product managers. Education and Experience 1. Bachelors or Masters degree: In Computer Science, Electrical Engineering, or a related field. 2. Minimum 2-3 years of experience: In mobile app development, AI/ML engineering, or a related field, with a focus on real-time image/video processing and AI/ML integration. Certifications and Tools 1. Certifications: Certifications like Googles Machine Learning Engineer or Apples Certified Developer can be a plus. 2. Tools: Proficiency in tools like Android Studio, Xcode, TensorFlow, PyTorch, OpenCV, and Core Image can be beneficial.

Highly skilled Computer Vision Engineer with 3+ years of experience in developing and deploying advanced vision-based systems Expertise in machine learning, using frameworks like PyTorch, TensorFlow, and OpenCV techniques to create innovative solutions Seeking to contribute technical expertise and drive impactful projects in a dynamic and growth-oriented environment

We are seeking a highly skilled, hands-on Machine Learning Engineer/Data Scientist with a robust background in developing, coding, and deploying advanced ML models. The ideal candidate will have demonstrable expertise in computer vision, object detection, object tracking, and NLP, with a proven track record of writing production-grade code and developing state-of-the-art models to solve complex business challenges. Key Responsibilities: End-to-End ML Pipeline Development: Design, code, test, and deploy robust machine learning pipelinesfrom data collection and preprocessing to model training and production deployment. Computer Vision & Object Detection: Develop and fine-tune algorithms for computer vision applications using tools like Ultralytics YOLO and OpenCV, with hands-on experience in object detection and object tracking. NLP Model Development: Build and optimize NLP models for tasks such as text analysis, sentiment analysis, and language processing using frameworks like Hugging Face Transformers or spaCy. Cloud-Based Model Deployment: Utilize Google Cloud services, particularly Vertex AI, for scalable model development, training, testing, and deployment. Code Quality & Optimization: Write clean, modular, and efficient code; perform debugging, code reviews, and performance tuning to ensure scalable and maintainable codebases. Collaboration & Integration: Work closely with data engineering and software development teams to integrate ML models into production environments and ensure seamless deployment. Continuous Improvement: Stay up-to-date with the latest advancements in machine learning and AI, integrating new technologies and methods as appropriate. Documentation & Best Practices: Maintain thorough documentation of code, methodologies, and experiments, adhering to industry best practices and MLOps principles. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of professional experience in data science and machine learning with a strong emphasis on hands-on coding and model development. Advanced proficiency in Python, and extensive experience with ML libraries and frameworks such as TensorFlow, PyTorch, OpenCV, and Ultralytics YOLO. Demonstrable expertise in developing and deploying computer vision models (object detection and tracking) and NLP solutions. Hands-on experience with cloud platforms, especially Google Cloud (Vertex AI), for scalable ML model training and deployment. Strong analytical, debugging, and performance optimization skills, with a commitment to high-quality code and software engineering best practices. Familiarity with data annotation platforms (e.g., Roboflow) and experience in integrating these into model development workflows. Excellent communication and collaboration skills to work effectively in cross-functional teams. Preferred Skills: Experience with MLOps practices and CI/CD pipelines for machine learning. Familiarity with big data technologies and distributed computing frameworks. Contributions to open-source projects or publications in relevant fields. Expertise in model interpretability, monitoring, and performance tuning in production environments. (Hands-On Coding & Model Development)

Skills : Machine Learning/Deep Learning Senior Data Scientist Required Candidate profile Notice Period: Immediate -30 days EducationBE/ME equivalent

Responsibilities : Test development, integration, debugging and maintenance of a C++ based video subsystem with a focus on Accelerated User Space Libraries (USL). Maintaining the C++ based middleware stack. Debugging the video subsystem and ability to run the tests on the ECU architecture. Ownership of the end-to-end technology stack and drivers. Alignment of requirements, changes and roadmap with the internal stakeholders. Must have Experience: Expertise in developing automotive/EE tests in C++. Additional experience in Python is an added value. Experience in computer vision, image processing or video codec H.264/H.265. Handson experience with video coding, OpenCV or OpenGL (or similar technologies). Familiarity with high-level accelerated APIs for GPU/DSP(s) (Based on public interfaces/SDK from supplier) e.g. open standards like OpenCL/Vulkan and ONNX. Deep knowledge about the standards is good to have but not essential. Background in ISO 26262 and ASIL based safety analysis would be an added plus. Able to review and fix integration build scripts (Based on bazel build system) Able to identify design issues in high level C/C++ API(s) Able to read coredumps and backtraces from crashes Familiarity with POSIX based operating systems including Linux and QNX Experience with Boardnet technologies such as Ethernet, SomeIP and CAN. Experience with automotive Diagnostic Log and Trace (DLT) and Automotive Diagnosis. Experience in the ADAS domain preferred. Ability to work independently and take corresponding decisions.

Skills : GCP , AI/ML, Solutions Architect, NLP, Transformer, LLM/GenAI,Healthcare, programming languages such as Python, R, or Java, frameworks like TensorFlow, PyTorch, or scikit-learn,Big Data technlogies

Dear Candidate, We are hiring a Computer Vision Engineer to develop AI-driven solutions for image recognition, object detection, and video analysis. The role requires expertise in deep learning, computer vision algorithms, and real-time processing techniques. Key Responsibilities: Develop and optimize computer vision models using OpenCV, TensorFlow, and PyTorch. Implement object detection, segmentation, and facial recognition algorithms. Process and analyze large-scale image and video datasets. Optimize deep learning models for real-time inference on edge devices. Collaborate with AI and software teams to integrate vision solutions into applications. Required Skills & Qualifications: Computer Vision Frameworks: OpenCV, DLIB, MediaPipe Deep Learning: TensorFlow, PyTorch, Keras Algorithms: CNNs, YOLO, Faster R-CNN, Mask R-CNN Programming: Python, C++, CUDA Edge AI: TensorRT, OpenVINO, NVIDIA Jetson Experience with autonomous systems, OCR, and SLAM is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Key Responsibilities: The key responsibilities include owning the design, development, and optimization of sophisticated systems in C/C++ for image and signal processing. The role involves developing and implementing algorithms with a strong focus on performance, scalability, and efficiency. Additionally, the position requires leveraging machine learning techniques, particularly Convolutional Neural Networks (CNNs), for sophisticated image processing, computer vision, and related tasks. The candidate will take ownership of end-to-end software development, leading technical problem-solving efforts. A key aspect of the role is providing technical mentorship and guidance to junior engineers and peers within the team. Finally, the position involves working in an Agile environment, contributing to sprint planning, reviews, and retrospectives. Job Requirements: Technical Skills (Must have): Strong programming knowledge in C/C++. Good image/signal processing knowledge with experience in using OpenCV/Matlab. B.Tech or M.Tech in CSE/EE/ECE from a reputed engineering college. Excellent algorithm and good data-structure design skills with theoretical background in analysis of algorithms. Technical Skills (Desirable): Experience in parallel and distributed computing, with working knowledge of tools such as Sun Grid Engine, LSF, etc. Familiarity with configuration management tools such as CVS. Familiarity with Scrum, experience with defect tracking tools such as ClearQuest, JIRA. Communication Proficiency in English with strong interpersonal and excellent oral and written communication skills. Ability to collaborate as part of globally distributed team. Also, Self-motivated and able to work independently. We thrive on building a multi-functional team environment, and we look for individuals who are eager to contribute and grow with us!

Looking for Siemens EDA ambassadors: Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the Increasingly complex world of chip, board, and system design. Siemens EDA D2S Bangalore group, a part of Semiconductor Manufacturing Division of Siemens EDA is seeking a highly skilled Staff Engineer with a strong technical background to join us. The ideal candidate will have 10+ years of hands-on experience in software development, image/signal processing, algorithm design, and machine learning, with a solid understanding of C/C++ programming. As a Staff Engineer, you will be responsible for developing and optimizing complex systems, driving technical innovations, and leading multi-functional teams to deliver high-quality software solutions. We make real what matters. This is your role Lead the design, development, and optimization of complex systems in C/C++ for image and signal processing. Develop and implement algorithms with a strong focus on performance, scalability, and efficiency. Leverage machine learning techniques, particularly Convolutional Neural Networks (CNNs) , for advanced image processing, computer vision, and other related tasks. Take ownership of end-to-end software development and lead technical problem-solving efforts. Provide technical mentorship and guidance to junior engineers and peers within the team. Collaborate with multi-functional teams to define system architectures, requirements, and project timelines. Ensure high-quality code by implementing standard processes for code reviews, unit testing, and debugging. Innovate and integrate new technologies and methodologies to improve product quality and performance.Participate in all phases of the development life cycle, including design, implementation, testing, and maintenance.Identify and address performance bottlenecks and scalability challenges in large-scale systems. Work in an Agile environment and chip in to sprint planning, reviews, and retrospectives We dont need superheroes, just super minds! Technical Skills (Must Have): We bring together a dynamic team of individuals with a P.hD/M.tech in Computer Science or Electronics Engineering with shown experience Extensive experience in C/C++ programming for developing high-performance applications . Strong background in image and signal processing , with hands-on experience using tools such as OpenCV and Matlab . Expertise in algorithms and data structures , with a solid focus on optimization and efficiency . Shown experience in designing and implementing complex machine learning algorithms , especially Convolutional Neural Networks (CNNs) for applications in image processing and computer vision . Proficiency in machine learning frameworks like TensorFlow , PyTorch , or Keras . Experience in system design and architecture , ensuring solutions are robust , scalable , and maintainable . Technical Skills (Desirable): Experience in Optical Mask Inspection , Wafer Ebeam Inspection , or SEM Processing . Experience with parallel and distributed computing , using tools like Sun Grid Engine or LSF . Familiarity with version control tools (e.g., Git , CVS ). Exposure to Agile methodologies and defect tracking tools such as JIRA or ClearQuest . Ability to work in high-performance computing (HPC) environments. Experience with data preprocessing , feature engineering , and deploying machine learning models in real-world systems.

Key Responsibilities: Develop, test, and maintain high-quality software applications using Python. Design and implement RESTful APIs. Manage databases, specifically MySQL and PostgreSQL. Utilize Docker for containerization of applications. Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot and debug applications. Participate in code reviews and provide constructive feedback. Continuously discover, evaluate, and implement new technologies to maximize development efficiency. Must-Have Skills: MySQL / PostgreSQL: Solid understanding and experience with MySQL and PostgreSQL databases. Docker: Proficiency in using Docker for containerization. OpenCV: Experience in Image processing packages like PIL and OpenCV Git: Experience with Git for version control. Good to Have: AWS/GCP: Knowledge of cloud services such as AWS or GCP. Redis: Experience with Redis for message brokering. CI/CD: Knowledge of Continuous Integration and Continuous Deployment practices. Microservices Architecture: Understanding of microservices architecture and principles. Agile/Scrum: Experience working in an Agile/Scrum development process. Email-id : Hr@merchantrms.com Contact : 7358191638

S&C Global Network - AI - Retail - Consultant - AI Retail Product Specialist Management Level:09 - Consultant Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: Knowledge of retail industry trends, consumer behavior analytics, and emerging AI technologies in the retail sector. Develop and maintain AI models and algorithms that support inventory management, personalized shopping experiences, demand forecasting, pricing optimization, and customer segmentation. Creation of process flows and diagrams for merchant's day in a life / Ability to interpret consumer behavior data and apply AI insights to optimize customer journeys, product recommendations, and personalized experiences. Leverage AI to enhance the customer experience by delivering personalized recommendations, improving product discovery, and enhancing omnichannel retail strategies. Good to have skills: Familiarity with Agile methodologies and product management processes. Ability to approach complex problems methodically, using AI and data-driven solutions to solve challenges in retail operations and customer experience. Constantly thinking about how to innovate using AI to improve retail products, services, and customer satisfaction. Experience with pre-built AI services from cloud providers (e.g., AWS AI services, Google AI, or Azure AI). Job Summary :The AI Retail Product Specialist is responsible for developing, implementing, and optimizing AI-powered solutions that enhance retail product strategies. This includes working closely with cross-functional teams, analyzing consumer behavior data, and driving product innovations using AI technologies. The specialist will leverage AI tools to improve customer personalization, inventory management, sales forecasting, and the overall shopping experience in retail settings. Roles & Responsibilities: Act as the bridge between business needs and technical solutions, overseeing the development and deployment of AI products. Define the AI product roadmap and ensure that AI-driven initiatives align with business objectives. Work with cross-functional teams to prioritize features and manage product releases. Collaborate with product managers, data scientists, and IT teams to design, implement, and refine AI-driven retail solutions. Focus on developing agentic experiences, where AI can assist or guide users through various tasks (e.g., chatbots, virtual assistants). Analyze large datasets to identify trends, patterns, and insights related to customer preferences, product demand, and shopping behavior. Monitor the performance of AI models and suggest data-driven improvements to enhance accuracy and effectiveness. Support decision-making by delivering actionable insights to stakeholders regarding product assortments, pricing strategies, and promotional activities. Stay up-to-date with the latest developments in AI technologies and retail industry trends. Recommend and implement best practices for AI-based product development and deployment in a retail environment. Professional & Technical Skills : Proficiency in programming languages such as Python, R, or SQL. Familiarity with AI frameworks and tools like TensorFlow, Keras, or PyTorch. Experience with data analysis and visualization tools (e.g., Tableau, Power BI, Excel).

About the Role: We are seeking a skilled Geospatial Vision Engineer with 2+ years of experience to join our team. You will be responsible for developing and optimizing advanced vision algorithms, focusing on 3D depth estimation, geospatial analysis, multi-sensor object detection, and drone-based 3D vision. If you are passionate about AI, sensor fusion, and working with LiDAR, point cloud, hyperspectral cameras, and drone imaging, we would love to hear from you! Required Qualifications: Education: Bachelors or Masters degree in Computer Science, Electrical Engineering, Remote Sensing, or a related field. Technical Skills: Strong programming skills in Python and C++. Experience with OpenCV, TensorFlow, PyTorch, Keras, and Scikit-learn. Proficiency in deep learning architectures like CNNs, RNNs, and Vision Transformers. Hands-on experience with object detection and segmentation models such as YOLO, Faster R-CNN, and SSD. Proficiency in 3D libraries such as Open3D, PCL (Point Cloud Library), PDAL, and Meshlab. Expertise in geospatial vision, 3D depth estimation, multi-sensor fusion, and drone-based 3D vision. Experience working with LiDAR, point cloud, hyperspectral cameras, satellite imagery, and drone-mounted sensors. Familiarity with cloud computing platforms (AWS, Google Cloud). Understanding of MLOps tools (Docker, Kubernetes, ONNX, TensorRT, or OpenVINO). Soft Skills: Strong analytical and problem-solving abilities. Ability to work independently and within a team. Key Responsibilities: Develop and Optimize Geospatial Vision Algorithms: Design,implement, and optimize computer vision and deep learning models for 3D depth estimation, geospatial analysis, and 3D object detection. Implement and fine-tune object detection models for multi-sensor fusion, integrating LiDAR, hyperspectral imaging, point cloud data, and drone-based 3D vision. Machine Learning & Sensor Fusion Implementation: Train, fine-tune, and deploy deep learning models using TensorFlow, PyTorch, OpenCV, and Scikit-learn. Work with CNNs, transformers, and self-supervised learning techniques for geospatial applications. Optimize models for edge computing and real-time processing in autonomous systems and drones. Data Processing & Model Training: Experience with 3D Annotation tools for 3D data preparation Process and augment large-scale 3D datasets including LiDAR, satellite imagery, drone imaging, and hyperspectral and depth estimation data. Optimize model performance for real-time applications on cloud and embedded platforms. Software Development & Deployment: Develop efficient Python/ C++ pipelines for real-time 3D vision and geospatial processing. Deploy AI models into production environments, drones, and autonomous systems. Collaboration & Research: Work closely with AI Team and Application product team to develop innovative solutions.

Your Role Understand client business requirement and provide suitable approach to solve the business problem. Identify and address client needs in different domains. Processing, cleansing and verifying the integrity of data used for analysis. Data mining and performing EDAs using state-of-the-art methods. Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques. Help enhance data collection procedures to include information that is relevant for building analytical systems Doing ad-hoc analysis and presenting results in a clear manner. Follow and help improve with Analytics-Delivery procedures using detailed documentations. Your Profile Good problem solver with a skill of solving business problem with analytics and data as primary means. Experience in delivering data & analytics solution in one/two of the following areas preferably Excellent coding experience in common data science language & tools such as R, Python, Go, SAS, Matlab etc. Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc. Hands on experience in using query languages such as SQL, NoSQL etc Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised and unsupervised problems (such as k-NN, Regression, Naive Bayes, SVM, Decision Tree, Random Forests, k-means, PCA, SVD, GenAI (LLM) etc.). Good applied statistics skills, such as distributions, statistical inference & testing, etc. Good knowledge/ Experience of cloud platform e.g. AWS, Azure, GCP etc. What youll love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI . About Capgemini 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.

JOB DESCRIPTION Job Title: AI Engineer Experience: 5-10 years Location: Pune, India Role Definition: This is a specialized role for an AI Software Engineer responsible for designing, building, and deploying scalable AI models and systems. You will work with machine learning frameworks, cloud platforms, and data engineering tools to create and optimize AI solutions. Key Responsibilities: Design, develop, and deploy AI models and systems. Work with machine learning frameworks and implement AI/ML algorithms. Manage data pipelines and monitor data flows. Implement and optimize MLOps frameworks. Collaborate with cross-functional teams to integrate AI solutions with cloud platforms. Required Skills: Proficient: Languages/Frameworks: Fast API, Azure UI Search API (React) Cloud: Azure Cloud Basics (Azure DevOps) Version Control & CI/CD: Gitlab Pipeline Deployment: Ansible and REX (Rex Deployment) Data Science: Prompt Engineering and Modern Testing Data Pipeline: Development and Monitoring AI/ML Knowledge: Understanding of AI/ML algorithms and their applications MLOps: Familiarity with MLOps frameworks Cloud Platforms: Knowledge of Azure ML Model Deployment: Experience in model deployment processes Expert (in addition to the proficient skills): Languages/Frameworks: Expertise in Azure Open AI Data Science: Proficient with Open AI GPT family of models (4o/4/3), Embeddings, and Vector Search Databases and ETL: Experience with Azure Storage Account, PostgreSQL, and Cosmos ML Frameworks: Hands-on experience with TensorFlow, PyTorch, and Scikit-learn Cloud Platforms: In-depth knowledge of AWS SageMaker and Google AI Platform Data Engineering: Expertise in data preprocessing, feature engineering, and model evaluation Software Engineering: Strong understanding of version control, CI/CD, containerization, and overall software engineering principles Big Data & Distributed Computing: Familiarity with tools such as Spark and Hadoop Performance Optimization: Ability to optimize models for performance and scalability Search Technologies: Experience with Azure AI Search

About the Role: We are seeking a skilled Computer Vision Engineer with 2+ years of experience to join our team. You will be responsible for developing and optimizing cutting-edge computer vision algorithms, working on real-world applications involving image processing, object detection, recognition, and deep learning. If you are passionate about AI, machine learning, and solving challenging problems in computer vision, we would love to hear from you! Key Responsibilities: Develop and Optimize CV Algorithms: Design, implement, and optimize computer vision and deep learning models for tasks such as object detection, image segmentation, and tracking. Improve image classification, feature extraction, and OCR performance. Machine Learning & Deep Learning Implementation: Train, fine-tune, and deploy deep learning models using TensorFlow, PyTorch, OpenCV, and Scikit-learn. Work with CNNs, transformers, GANs, and self-supervised learning techniques. Data Processing & Model Training: Process and augment large-scale image and video datasets. Optimize model performance for real-time applications on edge devices or cloud-based solutions. Software Development & Deployment: Develop efficient Python pipelines for real-time image processing and have C++ plus. Deploy AI models into production environments, mobile devices, or embedded systems. Collaboration & Research: Work closely with AI researchers, software engineers, and product teams to develop innovative solutions. Stay updated with the latest research in computer vision, deep learning, and AI. Required Qualifications: Education: Bachelor's or Masters degree in Computer Science, Electrical Engineering, Artificial Intelligence, or Data Science a related field. Technical Skills: Strong programming skills in Python and plus to have C++. Experience with OpenCV, TensorFlow, PyTorch, Keras, and Scikit-learn. Proficiency in deep learning architectures like CNNs (SSD,Faster-Rcnn,YOLO), RNNs, and Vision Transformers. Understanding image processing techniques, feature extraction, and object recognition, Model Parameters tuning. Experience with cloud computing platforms (AWS, Google Cloud). Familiarity with MLOps tools (Docker, Kubernetes, ONNX, TensorRT, or OpenVINO) Soft Skills: Strong analytical and problem-solving abilities. Ability to work independently and within a team. Excellent communication skills in English.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Machine Learning Services Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BTech Summary :As an AI/ML Engineer,, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Ensure proper cloud application pipeline with production-ready quality. Professional & Technical Skills: Must To Have Skills:CCAI hands on experience and generative AI understanding. Good To Have Skills:Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms and techniques. Experience with chatbot , generative AI models, prompt Engineering Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 3 - 5 years of experience in Google Cloud Machine Learning Services.and overall Experience around 5 - 7 years The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualifications BTech

Youll make a difference by: We are seeking a highly skilled and motivated AI/ML Engineer having experience in the field of artificial intelligence and machine learning. The ideal candidate should have expertise in developing and implementing AI/ML algorithms, a strong background in computer vision, hands-on experience with open-source Generative AI models, and a solid foundation in mathematical and statistical principles. As part of our dynamic AI team, you will work on designing, building, and optimizing AI systems with a focus on innovative solutions. Key Responsibilities: Developing and implementing AI-based solutions to enhance the efficiency, effectiveness, and speed of our R&D processes. Continuously monitoring and evaluating implemented AI solutions to ensure their performance and continuous improvement. Promoting knowledge exchange and competency development in the field of AI within the company Develop POC's to solve real-world problems in various domains such as text summarization, chatbots, language translation, image generation, data augmentation, and content synthesis, preferably with locally hosted models, open-source tools and frameworks. AI Model Optimization: Focus on optimizing AI models for performance, efficiency, and scalability, ensuring that they run effectively in offline environments without the need for cloud-based solutions. Computer Vision Applications: Work on AI-driven computer vision projects, including but not limited to image classification, object detection, segmentation, and image enhancement. Implement innovative computer vision algorithms for solving practical problems. AI & ML Algorithms: Leverage machine learning (ML) techniques to improve and fine-tune generative AI models and computer vision systems. Familiarity with both supervised and unsupervised learning techniques is essential. Research and Development: Stay up to date with the latest advancements in Generative AI, Computer Vision, and related fields. Experiment with new techniques and frameworks to continually improve the quality and capabilities of our solutions. Collaboration: Work closely with data scientists, software engineers, and product teams to deliver high-quality AI-based products. Contribute to the teams technical discussions and knowledge sharing. Model Deployment & Maintenance: Work on deploying and maintaining AI models, ensuring reliability and performance. Set up and manage model training and inference pipelines. Qualifications: Education: bachelors or masters degree in computer science, mathematics, or a comparable field with a focus on artificial intelligence Experience: Minimum of 3 to 4 years of hands-on experience in AI/ML development or data science, with a strong focus on Generative AI and Computer Vision. Experience working with open-source, locally hosted models is highly preferred. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or openVINO. Experience with GenAI or Large Language Models or NLP for training, fine-tuning, and evaluating LLMs Experience in computer vision algorithms and frameworks (e.g., OpenCV, Detectron2, YOLO). Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning). Familiarity with deploying AI models in offline environments and working with locally hosted models. Strong mathematical/statistical skills and the ability to clearly understand, define and communicate complex concepts in this area. Programming Skills: Advanced proficiency in Python and relevant AI/ML libraries (NumPy, SciPy, scikit-learn). Familiarity with version control tools (e.g., Git). Experience with C++ along with Docker, Kubernetes, or other containerization technologies is a plus. Problem Solving: Strong analytical and problem-solving skills with the ability to tackle complex and unstructured problems in AI and computer vision. Communication Skills: Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders. Nice-to-Have: Familiarity with AI hardware accelerators (e.g., GPUs, TPUs) and distributed computing. Knowledge of AI ethics and privacy considerations, especially in the context of offline AI. Desired Skills: 2-5 years of experience is required. Great Communication skills. Analytical and problem-solving skills

Dear Candidate, We are hiring a Machine Learning Engineer to develop and deploy AI models for real-world applications. The role requires expertise in data science, model training, and cloud-based ML solutions. Key Responsibilities: Build and deploy ML models using TensorFlow, PyTorch, or Scikit-learn. Optimize models for performance and scalability. Develop data pipelines and feature engineering processes. Deploy ML solutions using AWS SageMaker, Azure ML, or Google Vertex AI. Collaborate with data scientists and software engineers to integrate AI into products. Required Skills & Qualifications: Machine Learning: TensorFlow, PyTorch, Scikit-learn Programming: Python, R Cloud ML: AWS SageMaker, Azure ML, Google Vertex AI Experience in NLP, Computer Vision, or Time Series Analysis is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Role Description: As a Senior Software Architect, you will be responsible for designing and implementing complex software solutions for our organization. You will work closely with cross-functional teams, including software engineers, product managers, and business stakeholders, to understand requirements and translate them into architectural designs that meet business needs. Your primary focus will be on ensuring that the software systems are scalable, reliable, and maintainable. Key Responsibilities: Architect and design software solutions that align with business goals and technical requirements. Collaborate with cross-functional teams to understand business needs and translate them into architectural designs. Develop and maintain architectural guidelines, standards, and best practices. Conduct technical reviews and provide guidance to software engineers during the development process. Identify and mitigate technical risks and issues throughout the software development lifecycle. Evaluate and recommend appropriate technologies and frameworks to meet project requirements. Lead the design and implementation of complex software components and systems. Ensure that software systems are scalable, reliable, and maintainable. Mentor and coach junior software architects and engineers. Requirements: 12-15 yrs. of experience with B. Tech / MTech /Ph. d in Electronics / Computer Science Proven experience as a Software Architect or similar role with experience of 10+ yrs. in product development Strong fundamentals and hands-on experience in C++/C programming. Good Knowledge of python programming and libraries (Ex; NumPy, OpenCV, pandas etc.) Practical Experience with GPU/CPU Optimization techniques like Overclocking/Memory Optimization/Load. Balancing/Hyperthreading/Simultaneous multithreading (SMT). Excellent problem-solving skills and ability to work independently and as part of a team. Advantage: Knowledge on Semiconductor domain. Knowledge of digital signal processing (DSP)/Deep learning is a plus. Experience with computing design and benchmarking is a plus. Experience leading small teams or projects.

bout the Role Work closely with customers to support and enable Deep Learning software and application development. Develop software applications to demonstrate Deep Learning use cases primarily in vision analytics workloads. Create application notes and other documentation on software tool flows. Performance and Power measurement and analysis of Embedded AI systems. Necessary qualifications BTech/MTech in EE/CS 4+ years of experience. Experience in building embedded software applications. Experience programming in Python, C, and C++. Experience in vision frameworks like OpenCV, GStreamer, OpenCL, and so forth. Excellent problem-solving skills. Excellent communication skills. Preferred qualifications Experience with video/multimedia/image processing software development. Exposure to Neural Networks, AI/ML/DL models, training, and frameworks like TensorFlow, Caffe, and PyTorch. Experience with Driver development in Linux, macOS, or Windows platforms. Experience in debugging hardware. Ability to work both independently and in highly collaborative team environments. Ability to learn new tools and concepts quickly.

S&C Global Network - AI - Retail - Consultant - AI Retail Product Specialist Management Level:09 - Consultant Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: Knowledge of retail industry trends, consumer behavior analytics, and emerging AI technologies in the retail sector. Develop and maintain AI models and algorithms that support inventory management, personalized shopping experiences, demand forecasting, pricing optimization, and customer segmentation. Creation of process flows and diagrams for merchant's day in a life / Ability to interpret consumer behavior data and apply AI insights to optimize customer journeys, product recommendations, and personalized experiences. Leverage AI to enhance the customer experience by delivering personalized recommendations, improving product discovery, and enhancing omnichannel retail strategies. Good to have skills: Familiarity with Agile methodologies and product management processes. Ability to approach complex problems methodically, using AI and data-driven solutions to solve challenges in retail operations and customer experience. Constantly thinking about how to innovate using AI to improve retail products, services, and customer satisfaction. Experience with pre-built AI services from cloud providers (e.g., AWS AI services, Google AI, or Azure AI). Job Summary :The AI Retail Product Specialist is responsible for developing, implementing, and optimizing AI-powered solutions that enhance retail product strategies. This includes working closely with cross-functional teams, analyzing consumer behavior data, and driving product innovations using AI technologies. The specialist will leverage AI tools to improve customer personalization, inventory management, sales forecasting, and the overall shopping experience in retail settings. Roles & Responsibilities: Act as the bridge between business needs and technical solutions, overseeing the development and deployment of AI products. Define the AI product roadmap and ensure that AI-driven initiatives align with business objectives. Work with cross-functional teams to prioritize features and manage product releases. Collaborate with product managers, data scientists, and IT teams to design, implement, and refine AI-driven retail solutions. Focus on developing agentic experiences, where AI can assist or guide users through various tasks (e.g., chatbots, virtual assistants). Analyze large datasets to identify trends, patterns, and insights related to customer preferences, product demand, and shopping behavior. Monitor the performance of AI models and suggest data-driven improvements to enhance accuracy and effectiveness. Support decision-making by delivering actionable insights to stakeholders regarding product assortments, pricing strategies, and promotional activities. Stay up-to-date with the latest developments in AI technologies and retail industry trends. Recommend and implement best practices for AI-based product development and deployment in a retail environment. Professional & Technical Skills : Proficiency in programming languages such as Python, R, or SQL. Familiarity with AI frameworks and tools like TensorFlow, Keras, or PyTorch. Experience with data analysis and visualization tools (e.g., Tableau, Power BI, Excel). Additional Information: - (do not remove the hyperlink)

Position: Software Engineer (AI/ML) Qualification: B.E./B.Tech/M.E./M.Tech Responsibilities: Study and transform data science prototypes Designing Machine Learning systems and self-running Artificial Intelligence (AI) software to automate predictive models Research and implement appropriate ML algorithms and tools Develop Machine Learning applications according to requirements Select appropriate datasets and data representation methods Run Machine Learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Required Skills/Abilities: 2 4 years experience in AI/ML Good knowledge of Data Structures and Algorithms, and Mathematical Aptitude Excellent programming skills in Python and basic libraries for Machine Learning such as scikit-learn and pandas Must have a very good understanding of AI/ML algorithms and methods Prior knowledge of MLOps tools and Deep Learning methods and tools like PyTorch, Keras, or TensorFlow is preferable Good communication and people management skills with some experience of client handling Reporting To: Lead Software Engineer/Project Manager