622 Opencv Jobs

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Skills/experience: Recent and relevant experience required in one or more of the following areas: 3-6 years of experiences in image processing/computer vision/video domain. Good understanding of image processing and computer vision fundamentals.. Hands on knowledge\experience on camera/computer vision pipeline, development, porting and optimization Experience in optimizing the image processing kernels on x86/ARM-Neon/DSP or Any VLIW based architecture. Solid C\assembly programming skills, multithreading and OS concepts\fundamentals. Collaborate with cross-functional teams to design, implement and debug CV\multimedia features for mobiles. Good analytical and problem solving skills. Exposure to OpenCV APIs is a plus. Responsibilities: The successful candidate(s) will be responsible for: Development and productize various CV solutions on Qualcomm processors. Optimize CV algorithms on CPU, DSP & GPUs. Enhance CV, imaging Firmware solutions and help with video, imaging hardware subsystem enhancements in future Qualcomm Mobile Processors Design of CV, imaging features and work with a wide set of teams across the company (systems, software, hardware, etc.) in the productization Customer interaction to commercialize Qualcomm CV solutions. Education requirements: RequiredBachelor's/Master’s Computer Engineering and/or Electrical / Electronics Engineering Preferred Masters

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Do you ever wonder when will connected devices become thinking devicesBe part of the group that is working on technology that will bring “Cognition” to all connected devicesThat means devices that don’t just think but instinctively react to their surroundings. We are searching for an AI Systems Architect Engineer to be part of the Qualcomm AI Processor team responsible for developing DSP and Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling and analysis of new cutting-edge algorithms in the areas of machine learning, computer vision and video processing that bring artificial intelligence to mobile and edge devices. Responsibilities include analyzing and optimizing custom processors/accelerators, developing and training data-driven architecture models, correlating these models, and performing system-level architecture analysis. Minimum Qualifications: Experienced candidates (1 - 4 years) are welcome to apply with experience in the following area: Strong academic records (GPA 3.0 or 72% and better) Excellent programming skills in C/C++, Python Strong problem-solving skills Strong motivation and capabilities in learning new subjects especially in the field of artificial intelligence Knowledge of data-driven modelling Knowledge of computer and hardware architecture Effective interpersonal communications skill (written and verbal) Analytical, thorough, resourceful, and detail-oriented Self-motivated, hardworking, and flexible Preferred Qualifications: Basic understanding of machine learning, computer vision, and digital image processing algorithms and applications Advanced understanding of computer architecture Advanced understanding of data-driven modelling Excellent verbal, written, and presentation skills Ability to work effectively as part of a team Knowledge of OOP principles Knowledge of GPU Programming / Architecture is a bonus Minimum Education Required : Masters/Bachelor’s Computer Engineering, Electrical Engineering or Engineering Science Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Requisition Id : 1620337 As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that it’s your career and ‘It’s yours to build’ which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self. The opportunity : Consultant-National-Tax-TAX - Indirect Tax - Indirect Tax Global Trade - Gurgaon TAX - Indirect Tax - Indirect Tax Global Trade : Our globally connected tax professionals offer associated services across all tax disciplines to help the clients prosper in an era of rapid change. We combine our exceptional knowledge and experience with the people and technology platforms to equip clients in making better business decisions by bringing insights to the forefront. We help companies recognize the tax policies and tax laws of governments around the world to plan and comply accordingly. Our teams leverage transformative technologies to deliver strategy and execution, from tax and regulatory obligations to operations and workforce management, to reduce risk and drive sustainable value. EY has competencies in Business Tax Services, Global Compliance and Reporting, Global Law, Indirect Tax, International Tax and Transaction Services. Your key responsibilities Technical Excellence Expert in Python, Machine Learning, Postgres, Cloud Hands on API development Strong problem solving and troubleshooting skills Excellent team player with strong verbal & written communication skills. Exposure in Docker, Kubernetes, Continuous Delivery practices - Agile Scrum activities Exposure to Libraries Tensorflow, Keras, Numpy, sklearn, pandas, imutils, imgaug, lxml, opencv, matplotlib is Plus Exposure to big data technologies like Spark, Hive, Hadoop is desired Skills and attributes To qualify for the role you must have Qualification Graduate/Postgraduate in Engineering / Mathematics / Statistics Experience Developement in technical stacks/Full stack developement/databases What we look for People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach. What we offer With more than 200,000 clients, 300,000 people globally and 33,000 people in India, EY has become the strongest brand and the most attractive employer in our field, with market-leading growth over compete. Our people work side-by-side with market-leading entrepreneurs, game- changers, disruptors and visionaries. As an organisation, we are investing more time, technology and money, than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills and opportunities. EY is equally committed to being an inclusive employer and we strive to achieve the right balance for our people - enabling us to deliver excellent client service whilst allowing our people to build their career as well as focus on their wellbeing. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now.

Requisition Id : 1620303 As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that it’s your career and ‘It’s yours to build’ which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self. The opportunity : Consultant-National-Tax-TAX - Indirect Tax - Indirect Tax Global Trade - Gurgaon TAX - Indirect Tax - Indirect Tax Global Trade : Our globally connected tax professionals offer associated services across all tax disciplines to help the clients prosper in an era of rapid change. We combine our exceptional knowledge and experience with the people and technology platforms to equip clients in making better business decisions by bringing insights to the forefront. We help companies recognize the tax policies and tax laws of governments around the world to plan and comply accordingly. Our teams leverage transformative technologies to deliver strategy and execution, from tax and regulatory obligations to operations and workforce management, to reduce risk and drive sustainable value. EY has competencies in Business Tax Services, Global Compliance and Reporting, Global Law, Indirect Tax, International Tax and Transaction Services. Your key responsibilities Technical Excellence Expert in Python, Machine Learning, Postgres, Cloud Hands on API development Strong problem solving and troubleshooting skills Excellent team player with strong verbal & written communication skills. Exposure in Docker, Kubernetes, Continuous Delivery practices - Agile Scrum activities Exposure to Libraries Tensorflow, Keras, Numpy, sklearn, pandas, imutils, imgaug, lxml, opencv, matplotlib is Plus Exposure to big data technologies like Spark, Hive, Hadoop is desired Skills and attributes To qualify for the role you must have Qualification Graduate/Postgraduate in Engineering / Mathematics / Statistics Experience Developement in technical stacks/Full stack developement/databases What we look for People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach. What we offer With more than 200,000 clients, 300,000 people globally and 33,000 people in India, EY has become the strongest brand and the most attractive employer in our field, with market-leading growth over compete. Our people work side-by-side with market-leading entrepreneurs, game- changers, disruptors and visionaries. As an organisation, we are investing more time, technology and money, than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills and opportunities. EY is equally committed to being an inclusive employer and we strive to achieve the right balance for our people - enabling us to deliver excellent client service whilst allowing our people to build their career as well as focus on their wellbeing. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now.

We are seeking a passionate and knowledgeable Artificial Intelligence Trainer to join our educational organization. The ideal candidate will design, develop, and deliver engaging training sessions in AI and related technologies to students and professionals. You will play a key role in empowering learners with real-world AI skills, covering both theoretical foundations and practical applications. Key Responsibilities: Design and deliver comprehensive training programs on AI topics such as: Machine Learning (ML) Deep Learning (DL) Natural Language Processing (NLP) Computer Vision Generative AI (e.g., ChatGPT, DALL·E, etc.) Prepare course materials, lesson plans, hands-on projects, and assessments. Stay updated with the latest AI trends, tools, and best practices. Mentor and guide students through projects, assignments, and capstone work. Evaluate student performance and provide constructive feedback. Collaborate with the academic team to develop customized learning pathways. Conduct webinars, workshops, and bootcamps as required. Support curriculum improvement and new course development. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field. Proven experience in AI, ML, or Data Science roles (minimum 2–3 years). Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV, NLTK, etc. Experience with cloud platforms (AWS, Azure, GCP) is a plus. Prior teaching or training experience preferred. Excellent communication, presentation, and interpersonal skills. Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Benefits: Cell phone reimbursement Schedule: Day shift Supplemental Pay: Commission pay Performance bonus Language: English (Required) Malayalam (Required) Work Location: In person

Senior Data Scientist (Deep Learning and Artificial Intelligence) Job Description We aim to bring about a new paradigm in medical image diagnostics; providing intelligent, holistic, ethical, explainable and patient centric care. We are looking for innovative problem solvers who love solving problems. We want people who can empathize with the consumer, understand business problems, and design and deliver intelligent products. People who are looking to extend artificial intelligence into unexplored areas. Your primary focus will be in applying deep learning and artificial intelligence techniques to the domain of medical image analysis. Responsibilities Selecting features, building and optimizing classifier engines using deep learning techniques. Understanding the problem and applying the suitable image processing techniques Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems. Understanding and designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation. Recommend and implement best practices around the application of statistical modeling. Create, train, test, and deploy various neural networks to solve complex problems. Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development. Understanding the requirements and designing solutions and architecture in accordance with them is important. Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables. Design and implement scalable data science architectures for training, inference, and deployment pipelines. Ensure code quality, readability, and maintainability by enforcing software engineering best practices within the data science team. Optimize models for production, including quantization, pruning, and latency reduction for real-time inference. Drive the adoption of versioing strategies for models, datasets, and experiments (e.g., using MLFlow, DVC). Contribute to the architectural design of data platforms to support large-scale experimentation and production workloads. Skills and Qualifications Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability. Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc. Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks. Experience in solving problems in the domain of Computer Vision. Knowledge of data, data augmentation, data curation, and synthetic data generation. Ability to understand the complete problem and design the solutions that best fit all the constraints. Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc. Good applied statistical skills, such as distributions, statistical testing, regression, etc. Exposure to Agile/Scrum methodologies and collaborative development practices. Experience with the development of RESTful APIs. The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential. Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies. Experience with medical image analysis will be an advantage. Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers). Solid understanding of software design patterns, microservices, and cloud-native architectures. Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation) Education : BE/B Tech MS/M Tech (will be a bonus) Experience : 3+ Years Job Type: Full-time Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Do you have experience leading teams in AI Development? Do you have experience creating software architecture for production environment in AI applications? Experience: Deep learning: 3 years (Required) Computer vision: 3 years (Required) PyTorch: 3 years (Required) Work Location: In person

Job Summary We’re seeking a hands-on GenAI & Computer Vision Engineer with 3–5 years of experience delivering production-grade AI solutions. You must be fluent in the core libraries, tools, and cloud services listed below, and able to own end-to-end model development—from research and fine-tuning through deployment, monitoring, and iteration. In this role, you’ll tackle domain-specific challenges like LLM hallucinations, vector search scalability, real-time inference constraints, and concept drift in vision models. Key Responsibilities Generative AI & LLM Engineering Fine-tune and evaluate LLMs (Hugging Face Transformers, Ollama, LLaMA) for specialized tasks Deploy high-throughput inference pipelines using vLLM or Triton Inference Server Design agent-based workflows with LangChain or LangGraph, integrating vector databases (Pinecone, Weaviate) for retrieval-augmented generation Build scalable inference APIs with FastAPI or Flask, managing batching, concurrency, and rate-limiting Computer Vision Development Develop and optimize CV models (YOLOv8, Mask R-CNN, ResNet, EfficientNet, ByteTrack) for detection, segmentation, classification, and tracking Implement real-time pipelines using NVIDIA DeepStream or OpenCV (cv2); optimize with TensorRT or ONNX Runtime for edge and cloud deployments Handle data challenges—augmentation, domain adaptation, semi-supervised learning—and mitigate model drift in production MLOps & Deployment Containerize models and services with Docker; orchestrate with Kubernetes (KServe) or AWS SageMaker Pipelines Implement CI/CD for model/version management (MLflow, DVC), automated testing, and performance monitoring (Prometheus + Grafana) Manage scalability and cost by leveraging cloud autoscaling on AWS (EC2/EKS), GCP (Vertex AI), or Azure ML (AKS) Cross-Functional Collaboration Define SLAs for latency, accuracy, and throughput alongside product and DevOps teams Evangelize best practices in prompt engineering, model governance, data privacy, and interpretability Mentor junior engineers on reproducible research, code reviews, and end-to-end AI delivery Required Qualifications You must be proficient in at least one tool from each category below: LLM Frameworks & Tooling: Hugging Face Transformers, Ollama, vLLM, or LLaMA Agent & Retrieval Tools: LangChain or LangGraph; RAG with Pinecone, Weaviate, or Milvus Inference Serving: Triton Inference Server; FastAPI or Flask Computer Vision Frameworks & Libraries: PyTorch or TensorFlow; OpenCV (cv2) or NVIDIA DeepStream Model Optimization: TensorRT; ONNX Runtime; Torch-TensorRT MLOps & Versioning: Docker and Kubernetes (KServe, SageMaker); MLflow or DVC Monitoring & Observability: Prometheus; Grafana Cloud Platforms: AWS (SageMaker, EC2/EKS) or GCP (Vertex AI, AI Platform) or Azure ML (AKS, ML Studio) Programming Languages: Python (required); C++ or Go (preferred) Additionally: Bachelor’s or Master’s in Computer Science, Electrical Engineering, AI/ML, or a related field 3–5 years of professional experience shipping both generative and vision-based AI models in production Strong problem-solving mindset; ability to debug issues like LLM drift, vector index staleness, and model degradation Excellent verbal and written communication skills Typical Domain Challenges You’ll Solve LLM Hallucination & Safety: Implement grounding, filtering, and classifier layers to reduce false or unsafe outputs Vector DB Scaling: Maintain low-latency, high-throughput similarity search as embeddings grow to millions Inference Latency: Balance batch sizing and concurrency to meet real-time SLAs on cloud and edge hardware Concept & Data Drift: Automate drift detection and retraining triggers in vision and language pipelines Multi-Modal Coordination: Seamlessly orchestrate data flow between vision models and LLM agents in complex workflows About Company Hi there! We are Auriga IT. We power businesses across the globe through digital experiences, data and insights. From the apps we design to the platforms we engineer, we're driven by an ambition to create world-class digital solutions and make an impact. Our team has been part of building the solutions for the likes of Zomato, Yes Bank, Tata Motors, Amazon, Snapdeal, Ola, Practo, Vodafone, Meesho, Volkswagen, Droom and many more. We are a group of people who just could not leave our college-life behind and the inception of Auriga was solely based on a desire to keep working together with friends and enjoying the extended college life. Who Has not Dreamt of Working with Friends for a Lifetime Come Join In https://www.aurigait.com/ -https://aurigait.com/https://aurigait.com

We are seeking an experienced and highly skilled Technical Lead with a strong background in Python and Computer Vision to lead and drive innovative projects. The ideal candidate will be responsible for leading a team of engineers, designing scalable solutions, and implementing cutting-edge computer vision technologies to solve real-world problems. Key Responsibilities Design and implement computer vision algorithms for tasks such as object detection, recognition, tracking, segmentation, and more. Build scalable and efficient systems for processing image and video data in real-time or batch mode. Develop and integrate tools for data preprocessing, annotation, and visualization. Leverage frameworks such as OpenCV, PyTorch, TensorFlow, or similar for development. Review code, ensure best practices, and resolve technical challenges within the team. Design scalable, distributed systems to handle high-throughput image and video data. Build and integrate APIs to serve computer vision models for various applications. Work closely with data engineers to design ETL pipelines for computer vision datasets. Ensure data governance, quality, and compliance with standards. Required Skills and Qualifications Educational Background : Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. Technical Expertise : Strong programming skills in Python, with a focus on OOP and modular development. Proficiency in computer vision frameworks (OpenCV, TensorFlow, PyTorch, etc.). Hands-on experience with machine learning algorithms and deep learning models (e.g., CNNs, RNNs, Transformers). Experience with video and image processing techniques such as feature extraction, filtering, and transformation. Knowledge of tools like YOLO, SSD, Mask R-CNN, or equivalent object detection frameworks.

ABOUT US: The vision from the start has been to create a state-of-the-art infrastructure of the workplace with the implementation of all the tools for employees and clients makes Bytes Technolab a growth hacker. This has really helped the dev team in adapting to the existing & upcoming technologies & platforms to create top-notch software solutions for businesses, startups, and enterprises. Our core value lies with 100% integrity in communication, workflow, methodology, and flexible collaboration. With the client-first approach, we are offering flexible models of engagement that can help our clients in the best way possible. Bytes Technolab is confident that this approach would help us develop user-centric, applicable, advanced, secure, and scalable software solutions. Our team is fully committed to adding value at every stage of your journey with us, from initial engagement to delivery and beyond. Role Description: 3+ years of professional experience in Machine Learning and Artificial Intelligence. Strong proficiency in Python programming and its libraries for ML and AI (NumPy, Pandas, scikit-learn, etc.). Hands-on experience with ML/AI frameworks like PyTorch, TensorFlow, Keras, Facenet, OpenCV, and other relevant libraries. Proven ability to work with GPU acceleration for deep learning model development and optimization (using CUDA, cuDNN). Strong understanding of neural networks, computer vision, and other AI technologies. Solid experience working with Large Language Models (LLMs) such as GPT, BERT, LLaMA, including fine-tuning, prompt engineering, and embedding-based retrieval (RAG). Working knowledge of Agentic Architectures, including designing and implementing LLM-powered agents with planning, memory, and tool-use capabilities. Familiar with frameworks like LangChain, AutoGPT, BabyAGI, and custom agent orchestration pipelines. Solid problem-solving skills and the ability to translate business requirements into ML/AI/LLM solutions. Experience in deploying ML/AI models on cloud platforms (AWS SageMaker, Azure ML, Google AI Platform). Proficiency in building and managing ETL pipelines, data preprocessing, and feature engineering. Experience with MLOps tools and frameworks such as MLflow, Kubeflow, or TensorFlow Extended (TFX). Expertise in optimizing ML/AI models for performance and scalability across diverse hardware architectures. Experience with Natural Language Processing (NLP) and foundational knowledge of Reinforcement Learning. Familiarity with data versioning tools like DVC or Delta Lake. Skilled in containerization and orchestration tools such as Docker and Kubernetes for scalable deployments. Proficient in model evaluation, A/B testing, and establishing continuous training pipelines. Experience working in Agile/Scrum environments with cross-functional teams. Strong understanding of ethical AI principles, model fairness, and bias mitigation techniques. Familiarity with CI/CD pipelines for machine learning workflows. Ability to effectively communicate complex ML, AI, and LLM/Agentic concepts to both technical and non-technical stakeholders. We are hiring professionals with 3+ years of experience in IT Services. Kindly share your updated CV at freny.darji@bytestechnolab.com

Senior Data Scientist (Deep Learning and Artificial Intelligence) Job Description We aim to bring about a new paradigm in medical image diagnostics; providing intelligent, holistic, ethical, explainable and patient centric care. We are looking for innovative problem solvers who love solving problems. We want people who can empathize with the consumer, understand business problems, and design and deliver intelligent products. People who are looking to extend artificial intelligence into unexplored areas. Your primary focus will be in applying deep learning and artificial intelligence techniques to the domain of medical image analysis. Responsibilities Selecting features, building and optimizing classifier engines using deep learning techniques. Understanding the problem and applying the suitable image processing techniques Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems. Understanding and designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation. Recommend and implement best practices around the application of statistical modeling. Create, train, test, and deploy various neural networks to solve complex problems. Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development. Understanding the requirements and designing solutions and architecture in accordance with them is important. Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables. Design and implement scalable data science architectures for training, inference, and deployment pipelines. Ensure code quality, readability, and maintainability by enforcing software engineering best practices within the data science team. Optimize models for production, including quantization, pruning, and latency reduction for real-time inference. Drive the adoption of versioing strategies for models, datasets, and experiments (e.g., using MLFlow, DVC). Contribute to the architectural design of data platforms to support large-scale experimentation and production workloads. Skills and Qualifications Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability. Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc. Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks. Experience in solving problems in the domain of Computer Vision. Knowledge of data, data augmentation, data curation, and synthetic data generation. Ability to understand the complete problem and design the solutions that best fit all the constraints. Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc. Good applied statistical skills, such as distributions, statistical testing, regression, etc. Exposure to Agile/Scrum methodologies and collaborative development practices. Experience with the development of RESTful APIs. The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential. Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies. Experience with medical image analysis will be an advantage. Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers). Solid understanding of software design patterns, microservices, and cloud-native architectures. Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation) Education : BE/B Tech MS/M Tech (will be a bonus) Experience : 3+ Years Job Type: Full-time Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Do you have experience leading teams in AI Development? Do you have experience creating software architecture for production environment in AI applications? Experience: Deep learning: 3 years (Required) Computer vision: 3 years (Required) PyTorch: 3 years (Required) Work Location: In person

Greetings from TCS! Job Title: Data Scientist Required Skillset: 10+ Years, including the experience in designing and building of analytics use cases and productionization of the model for a quantified business value, for a minimum of 5 engagements Location: PAN INDIA Experience Range: 10+ years Job Description Must-Have** A candidate for this position must have at least 10 years of working experience working with data science capacity within a fast-paced and complex business setting, preferably working as a Senior Data Scientist. The candidate will also have experience working with natural language processing as well as experience working with machine learning libraries, for example, xgboost, OpenCV, sklearn, among others. Experience working on strategy or full-life cycle data science as well as technical expertise in AI, strategic vision, and hands-on experience with generative AI and large language models (LLMs). Expertise in generative models, deep learning, and data analysis will be critical in creating intelligent and transformative AI applications. Experience in designing, development, and implementing MLOps pipelines for the continuous deployment and integration of machine learning models. Experience working with deep learning algorithms and large datasets as well as experience working with unstructured data and experience cleaning and manipulating data. The Senior Data Scientist will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics vision and machine learning solutions to challenge various business issues. Experience in nurturing new opportunities and presales activities Responsibility of / Expectations from the Role: Should have proven thought leadership in solving complex AI/ Data Science problems and consult with stakeholders to initiate projects aligned to business needs Work with business and customer stakeholders (both internal and external) to define product objectives and requirements applying data science principles to products and solutions across business units Liaise with data engineers on building end to end solutions (data mining, data cleansing and data preparation activities) as part of end-to-end data lifecycle Evangelize AI/ML works done by the team internally and externally Interact with industry experts to understand and incorporate latest technology innovation, best practices in data sciences, data mining, and software development. Must have effective communication and interpersonal skills, with proven ability to take initiative and build strong, productive relationships. Thanks & Regards, Ria Aarthi A.

Experience: 3+ years Requirements: Excellent knowledge of computer vision concepts, including but not limited to Image Classification, Object Detection, and Semantic Segmentation, developed using state-of-the-art deep learning algorithms. Hands-on experience developing efficient and real-time convolutional neural network (CNN) models for computer vision tasks. Strong proficiency in at least one of the deep learning frameworks, such as PyTorch , TensorFlow , or Caffe, with the ability to apply them to computer vision problems. Quick prototyping skills in Python and coding and debugging proficiency in C++ . Good communication and collaboration skills to work effectively in a team and communicate complex technical concepts. Qualifications: A Ph.D. degree (including candidates at various stages of their Ph.D., such as thesis submission, thesis submitted, degree awaited, synopsis seminar completed, defense completed) in Deep Learning with hands-on coding skills and a passion for an industrial career will be preferred. Master's or Bachelor's degree with thorough industrial work experience in developing computer vision applications using deep learning. Postgraduates or Undergraduates with a strong academic background in Deep Learning, Computer Vision, or related fields, and demonstrated coding skills, are also encouraged to apply. Preferred: Publications in top-tier computer vision conferences like CVPR, ICCV, ECCV , or major AI conferences like NeurIPS. Knowledge of computer vision libraries and tools, including OpenCV and DLib, and a solid understanding of image processing and computer vision fundamentals. Hands-on experience with model compression and pruning techniques in deep learning. Good exposure to various deep learning architectures, such as Artificial Neural Networks (ANN), Deep Neural Networks (DNN) , Convolutional Neural Networks (CNN) , Recurrent Neural Networks (RNN ), and Long Short-Term Memory (LSTM) networks. Familiarity with GPU programming (e.g., CUDA, OpenCL) for efficient deep-learning computations. Pay is competitive as per market standards.

Hi connections!! we are hiring for ML Engineer Senior Machine Learning Engineer Platform Team • 5+ years • Full-Time • Bangalore --- Role Overview We are seeking a Senior Machine Learning Engineer with strong expertise in Python, EDA, ML model development, and hands-on experience in LLMOps using frameworks like LangChain and LangGraph. You will be instrumental in building and operationalizing scalable ML solutions on our AI-driven platform. Location Bangalore (preferred) | Hybrid options may be considered. Experience 5+ years in Machine Learning, Data Science, or related fields. Key Responsibilities  Design and develop ML models using supervised and unsupervised learning techniques for real-world business applications.  Build, deploy, and manage end-to-end ML pipelines.  Create robust data processing pipelines and APIs (preferably using FastAPI).  Manage deployment and monitoring of ML/DL models, ensuring model reproducibility, concept/data drift monitoring, and versioning of code, model, and data.  Handle data wrangling and feature engineering for both text and image datasets using libraries like Pandas, NumPy, OpenCV, PIL, Spacy, and Hugging Face Transformers.  Utilize ML frameworks such as Scikit-learn, PyTorch, TensorFlow, or Keras.  Work with LLMOps frameworks like LangChain, LangGraph, or similar to operationalize large language models (LLMs).  Implement prompt engineering and fine-tuning techniques for LLMs, including using APIs such as OpenAI, Mistral, Nova.  Collaborate closely with DevOps to integrate ML workflows with CI/CD pipelines, Docker, Kubernetes, and cloud platforms like AWS or GCP or Azure.  Contribute to scaling and maintaining ML systems leveraging MLflow, GitHub Actions, and monitoring stacks like ELK. Preferred Skills  Deep understanding of cloud-native ML practices and MLOps tools.  Strong programming and statistical analysis skills.  Hands-on experience with deep learning models and computer vision tasks.  Strong verbal and written communication skills.  Highly developed attention to detail and structured problem-solving abilities.  Ability to thrive in collaborative team environments.  Strong presentation skills to articulate technical solutions to non-technical stakeholders. Good to Have  Exposure to other LLM ecosystems (e.g., HuggingFace, Open Source LLMs).  Contributions to open-source ML/LLM frameworks.  Knowledge of advanced topics like Reinforcement Learning, GANs, or Diffusion Models. If you are interested kindly revert on supriya.kataram@codersbrain.com #MachineLearning hashtag #MLJobs hashtag #LLMOps hashtag #LangChain hashtag #LangGraph hashtag #DataScience hashtag #AIJobs hashtag #SeniorMLEngineer hashtag #PythonDevelopers hashtag #FastAPI hashtag #MLOps hashtag #DeepLearning hashtag #NLP hashtag #OpenAI hashtag #HuggingFace hashtag #BangaloreJobs hashtag #NowHiring hashtag #TechCareers hashtag #JoinOurTeam

Job Title : Backend Developer Python & AI Image Detection Location : Remote Experience Required : 3+ Years Employment Type : Full-Time (Payroll) About The Company We are an innovative tech-driven organization focused on developing intelligent AI-powered solutions. Our mission is to build robust systems that automate complex processes through cutting-edge technologies. Join our passionate team and contribute to real-world solutions at the intersection of AI and backend development. About The Role We are seeking a skilled and motivated Backend Developer with expertise in Python and AI-based image detection. The ideal candidate will have a strong background in backend development and a passion for integrating AI models into scalable services. You will be instrumental in designing and maintaining systems that process and validate images using machine learning and computer vision technologies. Key Responsibilities Design, develop, and maintain scalable backend APIs using Python (preferably FastAPI or Flask). Integrate AI image detection models for automated scanning, analysis, and validation. Manage image upload, preprocessing, and result delivery workflows using RESTful services. Collaborate with data science and frontend teams to integrate and deploy ML models. Optimize backend performance for high-volume image processing tasks. Write clean, well-documented, and testable code following best practices. Ensure security and data validation protocols for image handling and storage. Must-Have Skills 3+ years of experience in backend development using Python. Proficiency in image processing and AI/ML libraries such as OpenCV, TensorFlow, or PyTorch. Hands-on experience with object detection techniques (e.g., YOLO, Haar cascades). Strong understanding of RESTful API design and development. Familiarity with Docker, Git, and cloud platforms (AWS/GCP/Azure). Experience with databases like MySQL, PostgreSQL, or MongoDB. Strong debugging, testing, and performance optimization skills. Nice-to-Have Skills Experience with FastAPI or Django REST Framework. Exposure to OCR and real-time image analysis. Familiarity with CI/CD pipelines and model serving tools like TorchServe or TensorFlow Serving. Prior experience developing AI-based automation or validation tools. Skill Overview Experience Proficiency Python - 2+ Years Advanced Image Processing - 2+ Years Intermediate OpenCV - 2+ Years Intermediate RESTful APIs - 2+ Years Intermediate Docker - 2+ Years Intermediate Git - 2+ Years Intermediate MySQL - 2+ Years Advanced Test Automation - Intermediate Object Detection - Intermediate PostgreSQL - Intermediate (ref:hirist.tech)

Location : Pune and Gurgaon (hybrid). Industry : Robotics. Position : Sr Engineer. What We Need We're seeking a SLAM expert with several years of experience to join the Perception team at the team senior engineer level. As a SLAM Expert, you will play a technical development role in developing and implementing state-of-the-art SLAM algorithms and systems to advance our cutting-edge fulfillment technology. We are looking for people who thrive in a creative, collaborative, and agile development environment. Job Description Lead the design and development of SLAM-based navigation systems for robotic platforms. Utilize SLAM algorithms and techniques to enable accurate localization and mapping in various environments. Develop, optimize, and implement SLAM algorithms and systems for real-time applications. Conduct research and stay up to date with the latest advancements in SLAM and related fields. Design and execute experiments to evaluate the performance and robustness of SLAM algorithms and systems. Collaborate with cross-functional teams, including software engineers, computer vision experts, and robotics engineers, to integrate SLAM solutions into various projects. Provide technical guidance and support to team members working on SLAM-related projects. Identify and analyze challenges in SLAM implementation and propose innovative solutions. Contribute to the development of tools and frameworks to streamline the SLAM development process. Document and communicate research findings, algorithms, and technical specifications effectively. Skill Sets Required A Bachelors /master's or Ph. degree in Computer Science, Robotics or a related field. 1-6 years of demonstrated experience in SLAM research and development, with a strong publication record in relevant conferences and journals. Expertise in various SLAM techniques, such as visual SLAM, LiDAR SLAM, visual-inertial SLAM, graph-based SLAM, Kalman filtering, bundle adjustment, structure from motion, etc. Proficiency in programming languages commonly used in SLAM, such as C++ and Python. Solid understanding of computer vision, sensor fusion, probabilistic robotics, and optimization algorithms. Experience with popular SLAM libraries and frameworks, such as ROS, OpenCV, PCL, GTSAM, and g2o. Strong mathematical and analytical skills, with the ability to apply advanced mathematical concepts to solve SLAM challenges. Strong communication and teamwork skills to collaborate effectively with interdisciplinary teams. Prior experience working with autonomous systems and robotics. Benefits Competitive salary with performance-based bonuses. Comprehensive health and wellness benefits. Opportunities for professional development and continued education. Collaborative and innovative work environment (ref:hirist.tech)

Key Responsibilities Design and develop machine learning models for computer vision tasks including object detection, classification, tracking, and scene understanding. Lead end-to-end model lifecycle: data preprocessing, feature engineering, model selection, training, evaluation, and deployment. Implement and experiment with state-of-the-art techniques including Vision Transformers (ViT) and class-incremental learning for continuous adaptation in production environments. Analyze data from edge devices and physical environments to generate actionable insights. Develop and maintain reproducible research pipelines using versioned data and experiment tracking tools. Collaborate with the ML Ops and engineering teams to ensure seamless integration of models into production environments. Optimize models for real-time inference performance, accuracy, and scalability on edge devices or cloud-based infrastructure. Document findings, present insights to cross-functional teams, and contribute to technical decision-making. Mentor junior data scientists and contribute to team knowledge sharing. Required Qualifications 4+ years of experience in data science or machine learning roles, with hands-on production experience. Expertise in computer vision algorithms and deep learning models.\ Strong grasp of cutting-edge architectures such as CNNs , Vision Transformers (ViT) , and knowledge distillation techniques. Practical experience with class-incremental learning , transfer learning , and domain adaptation . Proficiency in Python and ML libraries such as PyTorch , TensorFlow , scikit-learn , and OpenCV . Hands-on experience with data versioning and experiment tracking tools such as DVC , MLflow etc. Solid understanding of ML model deployment and lifecycle management. Strong experience in working with structured and unstructured data, especially large-scale image/video datasets. Excellent analytical skills and the ability to interpret complex data and communicate results clearly. Preferred Qualifications Prior experience in startup or high-growth environments where adaptability is key. Experience working with cloud platforms such as AWS , GCP , or Azure for scalable ML workflows. Familiarity with edge computing , real-time inference , and model optimization frameworks like TensorRT , ONNX , or OpenVINO . Experience with CI/CD pipelines for ML projects and collaboration with ML Ops teams. Domain knowledge in retail, healthcare, logistics, or behavioral analytics is a strong plus. Contributions to open-source ML projects or published research papers. Comfort with visualization tools and reporting frameworks for data storytelling.

Shift: (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity Must have skills required: Computer Vision, Camera Calibration, 3d vision About the Role We are seeking an experienced Computer Vision Engineer to join our team and contribute to cutting-edge projects in 3D vision and reconstruction. The ideal candidate will have a strong background in camera calibration, stereo vision, multi-view geometry, and 3D reconstruction techniques. Key Responsibilities Develop and implement advanced computer vision algorithms for 3D reconstruction and analysis Design and optimize camera calibration procedures for various imaging systems Create robust stereo vision solutions for depth estimation and object localization Implement multi-view geometry techniques for scene understanding and 3D modeling Develop efficient triangulation methods for 3D point cloud generation Collaborate with cross-functional teams to integrate computer vision solutions into larger systems Stay current with the latest advancements in computer vision and contribute to research initiatives Required Qualifications Bachelors in Computer Science, Computer Engineering, or a related field 3+ years of experience in computer vision, with a focus on 3D vision techniques Strong proficiency in camera calibration methods and tools Extensive experience with stereo vision algorithms and epipolar geometry In-depth knowledge of multi-view geometry and structure-from-motion techniques Proven track record in developing 3D reconstruction pipelines Expert-level programming skills in C++ and Python Experience with OpenCV, PCL, or similar computer vision libraries Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) for vision tasks

Job description Company Description Doozy Robotics designs flexible and intelligent autonomous mobile robots for the industry. The company offers Humanoid and Autonomous Robots that assist in both commercial and industrial applications. Doozy Robotics is at the forefront of innovation, developing advanced robotics solutions tailored to enhance efficiency and productivity. As a fast-growing leader in the robotics field, Doozy Robotics provides cutting-edge technologies and solutions to meet the evolving needs of various industries. Role Description Key Responsibilities Perception System Development: Design and implement perception algorithms for object detection, tracking, and scene understanding using data from cameras, LiDAR, radar, and other sensors. Sensor Fusion: Develop sensor fusion techniques to integrate data from multiple sources, enhancing the accuracy and reliability of environmental perception. Computer Vision: Apply computer vision methodologies for real-time image processing, feature extraction, and pattern recognition in dynamic environments. AI/ML Model Development: Build and train machine learning models for tasks such as semantic segmentation, depth estimation, and anomaly detection. Robotics Integration: Collaborate with robotics engineers to integrate perception systems into autonomous platforms, ensuring seamless operation in real-world scenarios. Collaboration: Work closely with cross-functional teams to develop AI-powered vision systems, contributing to the advancement of autonomous technologies. Qualifications Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field. Experience: 3+ years of hands-on experience in AI/ML development, computer vision, and sensor fusion. Technical Skills: Proficiency in programming languages such as Python, C++, and ROS. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with sensor technologies (e.g., LiDAR, radar, cameras) and their integration. Knowledge of SLAM, 3D reconstruction, and path planning algorithms. Soft Skills: Strong problem-solving abilities, effective communication, and a collaborative mindset.

About Us - Attentive.ai is a leading provider of landscape and property management software powered by cutting-edge Artificial Intelligence (AI). Our software is designed to optimize workflows and help businesses scale up effortlessly in the outdoor services industry. Our Automeasure software caters to landscaping, snow removal, paving maintenance, and facilities maintenance businesses. We are also building Beam AI , an advanced AI engine focused on automating construction take-off and estimation workflows through deep AI. Beam AI is designed to extract intelligence from complex construction drawings, helping teams save time, reduce errors, and increase bid efficiency. Trusted by top US and Canadian sales teams, we are backed by renowned investors such as Sequoia Surge and InfoEdge Ventures." Position Description As a Research Engineer-II, you will be an integral part of our AI research team focused on transforming the construction industry through cutting-edge deep learning, computer vision and NLP technologies. You will contribute to the development of intelligent systems for automated construction take-off and estimation by working with unstructured data such as blueprint, drawings (including SVGs), and PDF documents. In this role, you will support the end-to-end lifecycle of AI-based solutions — from prototyping and experimentation to deployment in production. Your contributions will directly impact the scalability, accuracy, and efficiency of our products. Roles & Responsibilities Contribute to research and development initiatives focused on Computer Vision, Image Processing, and Deep Learning applied to construction-related data. Build and optimize models for extracting insights from documents such as blueprints, scanned PDFs, and SVG files. Contribute development of multi-modal models that integrate vision with language-based features (NLP/LLMs). Follow best data science and machine learning practices, including data-centric development, experiment tracking, model validation, and reproducibility. Collaborate with cross-functional teams including software engineers, ML researchers, and product teams to convert research ideas into real-world applications. Write clean, scalable, and production-ready code using Python and frameworks like PyTorch, TensorFlow, or HuggingFace. Stay updated with the latest research in computer vision and machine learning and evaluate applicability to construction industry challenges. Skills & Requirements 3–5 years of experience in applied AI/ML and research with a strong focus on Computer Vision and Deep Learning. Solid understanding of image processing, visual document understanding, and feature extraction from visual data. Familiarity with SVG graphics, NLP, or LLM-based architectures is a plus. Deep understanding of unsupervised learning techniques like clustering, dimensionality reduction, and representation learning. Proficiency in Python and ML frameworks such as PyTorch, OpenCV, TensorFlow, and HuggingFace Transformers. Hands-on experience with model optimization techniques (e.g., quantization, pruning, knowledge distillation). - Good to have Experience with version control systems (e.g., Git), project tracking tools (e.g., JIRA), and cloud environments (GCP, AWS, or Azure). Familiarity with Docker, Kubernetes, and containerized ML deployment pipelines. Strong analytical and problem-solving skills with a passion for building innovative solutions; ability to rapidly prototype and iterate. Comfortable working in a fast-paced, agile, startup-like environment with excellent communication and collaboration skills. Why Work With Us? Be part of a visionary team building a first-of-its-kind AI solution for the construction industry. Exposure to real-world AI deployment and cutting-edge research in vision and multimodal learning. Culture that encourages ownership, innovation, and growth. Opportunities for fast learning, mentorship, and career progression.

Festivals from India is hiring on behalf of ASIGN who are looking for a talented and experienced React Native App Developer to join their team. The ideal candidate will have 1-3 years of experience in mobile application development. And hold expertise in UI/UX design and AI/ML integration, ensuring our app is both user-friendly and technologically advanced. Apply via this link- https://tinyurl.com/ASIGN-React-Native-Dev About ASIGN: ASIGN is a pioneering product and services platform built exclusively for the art and collectibles ecosystem. Our proprietary technology seamlessly connects physical artworks to a secure digital environment empowering artists, creators, collectors, and businesses to manage, document, and trade their assets effortlessly. We offer a full suite of tools including global identification numbers, artwork documentation, inventory tracking, invoicing, logistics support, and a high-visibility marketplace for authentic works of art. As a fast-growing startup, we're on a mission to redefine how art is experienced, stored, and sold. At ASIGN, we blend innovation with creativity to build a smarter, more connected art world. ​Please note: The vetting process for this role comprises 2-3 rounds of interviews and may be followed by a brief assignment. The Art X Company is hiring for this role on behalf of AISIGN. This is an on-site, full-time position based in Chennai. Salary band for this role is available upon request. Essential Qualifications: A bachelor in Software Engineering or equivalent. Familiarity with React Navigation, Gesture Handlers, and Native Modules. Knowledge of Node.js for backend communication Understanding of AI/ML concepts and integration in mobile applications. Familiarity with computer vision libraries such as OpenCV or TensorFlow.js. Familiarity with database management (MongoDB, PostgreSQL, or SQLite). Basic knowledge of cloud deployment and DevOps practices. Understanding of security best practices in mobile app development. Essential Experience: 1-3 years of experience in React Native mobile app development. Experience with UI/UX principles, animations, and responsive design. Strong understanding of React Native components, hooks, and state management (Redux, Context API). Proficiency in JavaScript (ES6+) & TypeScript. Experience working with RESTful APIs and WebSockets and hands-on experience with Firebase, AWS Amplify, or Supabase. Experience with Git for version control and collaboration.

About the Role: We are seeking an experienced 3D SLAM (Simultaneous Localization and Mapping) Computer Vision Engineer to join our innovative team. The ideal candidate will have a strong background in computer vision, robotics, and software development, with a focus on 3D perception and SLAM algorithms. You will work on cutting-edge projects that involve building real-time mapping and localization systems, contributing to both research and practical deployment. Key Responsibilities: Design, develop, and implement state-of-the-art 3D SLAM algorithms for real-time applications. Collaborate with cross-functional teams to integrate SLAM solutions with hardware and other software components. Conduct in-depth research and stay updated with the latest advancements in SLAM, computer vision, and related fields. Optimize code for real-time performance and robustness across different environments. Develop and maintain the software infrastructure for testing and deploying SLAM systems. Analyze and process sensor data from various sources, including LiDAR, depth cameras, and IMUs. Troubleshoot and debug issues related to 3D perception, mapping, and localization. Requirements: Education : Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field. PhD is a plus. Experience : 3-5 years of experience in computer vision or robotics, with a focus on SLAM and 3D perception. Technical Skills : Proficiency in programming languages such as C++ and Python. Strong knowledge of computer vision libraries (e.g., OpenCV, PCL) and frameworks. Experience with SLAM algorithms (e.g., ORB-SLAM, RTAB-Map, LOAM). Familiarity with 3D point cloud processing, sensor fusion, and Kalman filters. Mathematics : Strong background in linear algebra, probability theory, and optimization techniques. Problem-Solving : Excellent analytical skills for troubleshooting and performance tuning. Communication : Ability to effectively collaborate with cross-functional teams and present technical information clearly. Preferred Qualifications: Experience with robotics frameworks such as ROS (Robot Operating System). Knowledge of GPU programming and parallel processing (e.g., CUDA). Experience working with 3D reconstruction, photogrammetry, or AR/VR applications. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) for computer vision tasks. Job Type: Full-time Pay: ₹500,000.00 - ₹1,500,000.00 per year

Job Title: Data Scientist Position Summary As a Data Scientist at FSL, you will leverage your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing and Generative AI to develop innovative data-driven solutions and applications. You will play a key role in designing and deploying dynamic models and applications using modern web frameworks like Flask and FastAPI, ensuring efficient deployment and ongoing monitoring of these systems Key Responsibilities: Model Development and Application: Design and implement advanced ML and DL models. Develop web applications for model deployment using Flask and FastAPI to enable real-time data processing and user interaction. Data Analysis: Perform exploratory data analysis to understand underlying patterns, correlations and trends. Develop comprehensive data processing pipelines to prepare large datasets for analysis and modeling. Generative AI: Employ Generative AI techniques to create new data points, enhance content generation and innovate within the field of synthetic data production. Collaborative Development: Work with cross-functional teams to integrate AI capabilities into products and systems. Ensure that all AI solutions are aligned with business goals and user needs. Research and Innovation: Stay updated with the latest developments in AI, ML, DL, CV and NLP. Explore new technologies and methodologies that can impact our products and services positively. Communication: Effectively communicate complex quantitative analysis in a clear, precise and actionable manner to senior management and other departments. Required Skills and Qualifications: Education: BE or Master’s or PhD in Computer Science, Data Science, Statistics or a related field. Experience: 5 to 7 years of relevant experience in a data science role with a strong focus on ML, DL and statistical modeling. Technical Skills: Strong coding skills in Python, including experience with Flask or FastAPI. Proficiency in ML, DL frameworks (e.g., PyTorch, TensorFlow), CV (e.g., OpenCV) and NLP libraries (e.g., NLTK, spaCy). Generative AI: Experience with generative models such as GANs, VAEs or Transformers. Deployment Skills: Experience with Docker, Kubernetes and continuous integration/continuous deployment (CI/CD) pipelines. Strong Analytical Skills: Ability to translate complex data into actionable insights. Communication: Excellent written and verbal communication skills. Certifications: Certifications in Data Science, ML or AI from recognized institutions is added advantage. Location: Hyderabad, Mumbai, Bangalore and Chennai ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Key Responsibilities: Design and implement embedded software for video processing, motion detection, and network communication. Develop firmware for microcontrollers, SoCs, and DSPs used in CCTV cameras. Optimize code for performance, memory usage, and power efficiency. Integrate image sensors and modules (e.g., night vision, PTZ). Interface with peripherals (e.g., UART, SPI, I2C, Ethernet, USB). Support video encoding/decoding using H.264/H.265 and ONVIF standards. Collaborate with hardware engineers on board bring-up and debugging. Participate in system architecture design and component selection. Conduct unit testing, integration testing, and firmware validation. Maintain documentation of code and design for future development. Required Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, or related field. 3+ years of experience in embedded software development. Strong proficiency in C/C++ and RTOS environments. Experience with ARM Cortex, MIPS, or RISC-V architecture. Familiarity with camera modules, ISP tuning, and image processing. Knowledge of networking protocols (TCP/IP, UDP, HTTP, RTSP). Experience with version control systems (e.g., Git). Debugging tools experience: JTAG, oscilloscopes, logic analyzers. Preferred Skills: Experience with Linux kernel and driver development. Familiarity with OpenCV, GStreamer, or similar video processing libraries. Understanding of cybersecurity principles for IoT devices. Background in machine vision or AI-based video analytics. Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹50,000.00 per month Schedule: Day shift Work Location: In person

Job Location: Bangalore (In-person, travel to partner schools within the city) Job Type: Full-time, Permanent Schedule: Day Shift About the Role: We are looking for an enthusiastic and knowledgeable AI & Python Educator to join our STEM education team. This role involves delivering structured, interactive lessons in Artificial Intelligence, Python Programming, and Machine Learning fundamentals for students from Grades 3 to 10 . The ideal candidate should have a solid background in Python, an interest in AI/ML, and a passion for teaching school students in an engaging, project-based format. Minimal electronics exposure (only basic awareness for AI-integrated projects like AIoT) is desirable, but not mandatory. Key Responsibilities: Curriculum Delivery: Teach structured, interactive lessons on Python Programming (basics to intermediate), AI concepts, Machine Learning fundamentals , and real-world AI applications tailored for school students. Hands-On AI Projects: Guide students through practical AI projects such as image classification, object detection, chatbots, text-to-speech systems, face recognition, and AI games using Python and AI tools like Teachable Machine, PictoBlox AI, OpenCV, and scikit-learn . Concept Simplification: Break down complex AI/ML concepts like data classification, regression, clustering, and neural networks into age-appropriate, relatable classroom activities. Classroom Management: Conduct in-person classes at partner schools, ensuring a positive, engaging, and disciplined learning environment. Student Mentoring: Motivate students to think logically, solve problems creatively, and build confidence in coding and AI-based projects. Progress Assessment: Track student progress, maintain performance reports, and share timely, constructive feedback. Technical Troubleshooting: Assist students in debugging Python code, handling AI tools, and resolving software-related queries during class. Stakeholder Coordination: Collaborate with school management and internal academic teams for lesson planning, scheduling, and conducting AI project showcases. Continuous Learning: Stay updated on the latest developments in AI, Python, and education technology through training and workshops. Qualifications: Education: Diploma / BCA / B.Sc / BE / MCA / M.Sc / M.Tech in Computer Science, AI/ML, Data Science, or related fields Experience: 1 to 2 years of teaching or EdTech experience in AI/ML, Python, or STEM education preferred Freshers with a strong Python portfolio and AI project experience are encouraged to apply Skills & Competencies: Strong knowledge of Python Programming (syntax, data structures, file handling, functions, OOPs) Practical understanding of AI & Machine Learning basics Hands-on experience with AI tools like Teachable Machine, PictoBlox AI extension, OpenCV, and scikit-learn Excellent communication, explanation, and classroom management skills Student-friendly, organized, and enthusiastic about AI education Basic knowledge of electronics (optional) — for AIoT integrations (eg. using sensors with AI models) Perks & Benefits: Structured in-house AI & Python training programs Opportunity to work with reputed schools across Bangalore Career growth in the AI & STEM education sector Salary & Employment Details: Salary: ₹20,000 to ₹35,000 per month (based on experience and performance) Job Type: Full-time, Permanent Work Location: In-person, travel to schools within Bangalore city Schedule: Day shift (Monday to Saturday) Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹35,000.00 per month Schedule: Day shift Experience: total work: 1 year (Preferred) Work Location: In person

Job Description We aim to bring about a new paradigm in medical image diagnostics; providing intelligent, holistic, ethical, explainable and patient centric care. We are looking for innovative problem solvers who love solving problems. We want people who can empathize with the consumer, understand business problems, and design and deliver intelligent products. People who are looking to extend artificial intelligence into unexplored areas. Your primary focus will be in applying deep learning and artificial intelligence techniques to the domain of medical image analysis. Responsibilities Selecting features, building and optimizing classifier engines using deep learning techniques. Understanding the problem and applying the suitable image processing techniques Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems. Understanding and designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation. Recommend and implement best practices around the application of statistical modeling. Create, train, test, and deploy various neural networks to solve complex problems. Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development. Understanding the requirements and designing solutions and architecture in accordance with them. Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables. Design and implement scalable data science architectures for training, inference, and deployment pipelines. Ensure code quality, readability, and maintainability by enforcing software engineering best practices within the data science team. Optimize models for production, including quantization, pruning, and latency reduction for real-time inference. Drive the adoption of versioing strategies for models, datasets, and experiments (e.g., using MLFlow, DVC). Contribute to the architectural design of data platforms to support large-scale experimentation and production workloads. Skills and Qualifications Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability. Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc. Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks. Experience in solving problems in the domain of Computer Vision. Knowledge of data, data augmentation, data curation, and synthetic data generation. Ability to understand the complete problem and design the solutions that best fit all the constraints. Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc. Good applied statistical skills, such as distributions, statistical testing, regression, etc. Exposure to Agile/Scrum methodologies and collaborative development practices. Experience with the development of RESTful APIs. The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential. Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies. Experience with medical image analysis will be an advantage. Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers). Solid understanding of software design patterns, microservices, and cloud-native architectures. Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation) Education: BE/B Tech MS/M Tech (will be a bonus) Experience: 3-5 Years