637 Opencv Jobs - Page 2

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

Lead AI Engineer (GenAI & AI/ML Focus) Experience : 5+ years (with at least 1-2 years in GenAI/Agentic AI) About the Role We’re seeking a Lead AI Engineer to drive the design, development, and scaling of intelligent systems powered by Generative AI and Agentic AI architectures. You’ll play a central role in shaping the technical foundation of our AI solutions, guiding junior engineers, leading experiments, and taking end-to-end ownership of core components such as prompt infrastructure, model routing logic, RAG systems, and autonomous agents. This role blends deep hands-on engineering with architectural vision and technical leadership. If you’re someone who enjoys building fast, mentoring others, and solving tough AI problems across infrastructure, experimentation, and deployment, this role is for you. What You’ll Do Architect and implement LLM-based GenAI systems: prompt pipelines, retrieval flows, model selection, fallback mechanisms, prompt optimization, prompt versioning, modular prompts, and tool orchestration strategies Design and lead multi-agent systems with memory, tool-use, task adaptation, and inter-agent collaboration using frameworks like LangGraph, CrewAI, AutoGen, LangChain Architect, deploy, and continuously evolve retrieval-augmented generation (RAG) pipelines, handle model substitution, evaluation, prompt versioning, and runtime fallback strategies Drive the creation of internal prompt libraries, LLM orchestration logic, and evaluation harnesses Collaborate on fine-tuning, embedding optimization, and multi-model substitution workflows Collaborate on model evaluation, benchmarking, and agentic stress testing in production Own end-to-end AI applications involving image, text, tabular, and signal data, working with both unimodal and multi-modal inputs Develop solutions in computer vision (e.g., OCR, classification, object detection) and multi-modal AI (e.g., text + image pipelines) Design and evaluate statistical models and classical ML systems, including time-series forecasting and predictive analytics Lead development of signal processing or anomaly detection systems (e.g., for sensor, telemetry, or log data) Build & support cost-optimization, compliance, and monitoring in GenAI deployments Mentor and unblock junior AI engineers and interns through code reviews, architecture sessions, and contribute to team knowledge base and enforce internal best practices Work closely with product, data, and platform teams to bring AI prototypes to production Partner with Data, Product, and Platform teams to ship enterprise-grade AI modules Who Should Apply You are a builder with: Minimum qualification: Bachelor’s or Master’s degree Disciplines: Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Engineering, Physics, Statistics, Finance, Economics, or any other quantitative or computational field 5+ years of professional experience in AI/ML development (with 1-2+ years in GenAI or Agentic systems) Proven experience architecting and shipping real-world AI applications at scale Strong mentoring skills and a product-focused engineering mindset An interest in shaping the long-term AI strategy while delivering short-term wins Must-Have Skills Strong Python development skills with emphasis on modular, testable design Deep familiarity with LLM APIs, prompt frameworks (e.g., LangChain, LangGraph, CrewAI), and RAG pipelines Experience building systems for model selection, prompt fallback, tool orchestration, and versioning Familiarity with MLOps pipelines, ML monitoring, and model lifecycle management Experience in building and optimizing RAG architectures and vector database integrations Knowledge of model selection, fallbacks, prompt versioning, and task decomposition Strong grasp of autonomous agent design, reasoning, tool use, and multi-agent protocols Exposure to near real-time signal/voice processing, filtering, or event-based triggers (e.g., anomaly/event detection) Practical knowledge of statistical modeling, forecasting (ARIMA, Prophet, ML-based), or classical ML pipelines 5+ years in AI/ML engineering, including 1–2+ years working directly on GenAI/Agentic AI projects Preferred Skills Experience with multi-agent collaboration patterns (e.g., A2A, MCP) Deployment experience on GenAI platforms like OpenAI, Claude, Vertex AI, Amazon Bedrock, or Azure GenAI Familiarity with serverless deployment, egress handling, and LLM usage constraints Exposure to evaluation frameworks, benchmarking suites, or internal testing systems Experience integrating AI flows with external systems (BI tools, dashboards, APIs, automation platforms) Prior experience designing multi-modal pipelines combining vision, text, or sensor data Bonus / Good-to-Have Hands-on with fine-tuning workflows (LoRA, PEFT, etc.) Understanding of vector database internals and hybrid retrieval methods Familiarity with CV/multi-modal AI workflows using OpenCV, TorchVision, CLIP, BLIP, or related libraries Prior experience contributing to open-source GenAI libraries or leading internal tool development Why Join Us Help shape the next-gen AI stack from the ground up Work in a fast-moving environment with real ownership and autonomy Collaborate with a cross-disciplinary team at the cutting edge of GenAI and agentic systems Be part of an organization that values experimentation, modularity, and long-term impact Interested candidates can share the CV on shikha.rana@antiersolutions.com

We are seeking a passionate AI/ML Engineer to join our team in building the core AI-driven functionality an intelligent visual data encryption system. The role involves designing, training, and deploying AI models (e.g., CLIP, DCGANs, Decision Trees), integrating them into a secure backend, and operationalizing the solution via AWS cloud services and Python-based APIs. Key Responsibilities: AI/ML Development Design and train deep learning models for image classification and sensitivity tagging using CLIP, DCGANs, and Decision Trees. Build synthetic datasets using DCGANs for balancing. Fine-tune pre-trained models for customized encryption logic. Implement explainable classification logic for model outputs. Validate model performance using custom metrics and datasets. API Development Design and develop Python RESTful APIs using FastAPI or Flask for: Image upload and classification Model inference endpoints Encryption trigger calls Integrate APIs with AWS Lambda and Amazon API Gateway. AWS Integration Deploy and manage AI models on Amazon SageMaker for training and real-time inference. Use AWS Lambda for serverless backend compute. Store encrypted image data on Amazon S3 and metadata on Amazon RDS (PostgreSQL). Use AWS Cognito for secure user authentication and KMS for key management. Monitor job status via CloudWatch and enable secure, scalable API access. Required Skills & Experience: Must-Have 3–5 years of experience in AI/ML (especially vision-based systems). Strong experience with PyTorch or TensorFlow for model development. Proficient in Python with experience building RESTful APIs. Hands-on experience with Amazon SageMaker, Lambda, API Gateway, and S3. Knowledge of OpenSSL/PyCryptodome or basic cryptographic concepts. Understanding of model deployment, serialization, and performance tuning. Nice-to-Have Experience with CLIP model fine-tuning. Familiarity with Docker, GitHub Actions, or CI/CD pipelines. Experience in data classification under compliance regimes (e.g., GDPR, HIPAA). Familiarity with multi-tenant SaaS design patterns. Tools & Technologies: Python, PyTorch, TensorFlow FastAPI, Flask AWS: SageMaker, Lambda, S3, RDS, Cognito, API Gateway, KMS Git, Docker, Postgres, OpenCV, OpenSSL

Title Gen AI Developer Mandatory Skills Python, Deep Learning, LLM, Langchain, RAG and Gen AI. Preferred Skills GCP/Any cloud. Mandatory Skills: AI Cognitive. Experience3-5 Years.

Below is a comprehensive job description tailored for an AI Engineer for our patented project, with an initial focus on cricket and badminton. This role is designed for someone who may not have direct sports officiating experience but comes from related fields (such as robotics, surveillance, autonomous systems, or sports analytics) and is eager to apply their expertise in a new domain. Job Overview As our AI/ML Engineer, you will be responsible for designing and prototyping the core machine learning architectures that drive our solution. You will collaborate directly with the founder to brainstorm, evaluate, and select the best approaches for computer vision, sensor fusion, and reinforcement learning applications in cricket and badminton. Given that this is a new domain, candidates with experience in adjacent areas (such as robotics, autonomous systems, sports analytics, surveillance, or IoT) are encouraged to apply. We value innovative problem solvers who can adapt their skills to meet our unique challenges. Key Responsibilities Architecture & Design: Propose and evaluate multiple AI/ML architectures suitable for real-time officiating tasks (object detection, event detection, trajectory prediction, and sensor fusion). Collaborate with the founder to select and iterate on the optimal architecture for our use case. Algorithm Development: Develop computer vision algorithms to detect and track critical objects (e.g., sports balls, players, court lines). Design and implement reinforcement learning (RL) models for dynamic PTZ camera control (tracking, panning, and zooming) to ensure the best camera viewpoints. Build predictive models for real-time decision-making (e.g., anticipating ball trajectories for no-ball calls, scoring events). Sensor Fusion: Integrate data from video feeds with auxiliary sensors (audio, IR, radar, etc.) to improve the accuracy and reliability of event detection. Optimize models for low-latency performance on edge devices. Prototyping & Testing: Rapidly prototype and validate AI/ML modules using real or simulated data. Work closely with the full-stack developer to integrate AI components into the broader software system. Documentation & Research: Document architecture decisions, model designs, and implementation details. Stay updated on recent research and advancements in computer vision, machine learning, and reinforcement learning, and apply relevant innovations to enhance the product. Collaboration: Participate in brainstorming sessions and technical reviews with the product management and development teams. Provide insights on potential improvements and scalability for the system as we expand from a prototype to a full-scale commercial product. Qualifications & Skill Sets Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related discipline with a focus on machine learning, computer vision, robotics, or data science. Technical Skills: Programming Languages: Proficiency in Python and familiarity with C++. Deep Learning Frameworks: Experience with TensorFlow, PyTorch, or similar frameworks. Computer Vision: Hands-on experience with OpenCV, YOLO, or other object detection and tracking libraries; strong knowledge of convolutional neural networks (CNNs). Reinforcement Learning: Understanding of RL concepts and experience with frameworks such as OpenAI Gym or similar; ability to prototype RL solutions for real-time control. Sensor Fusion: Familiarity with techniques to integrate and process multi-modal data (video, audio, IR, radar, etc.). Optimization for Real-Time Systems: Experience in tuning models and algorithms for low-latency, edge, or embedded deployment. Software Engineering: Ability to write clean, well-documented code and collaborate using version control systems (e.g., Git). Domain-Relevant Experience: While direct experience in sports officiating is not required, experience in adjacent fields such as: Sports Analytics: Building models for performance analysis or event detection in sports. Robotics/Autonomous Systems: Developing vision and control algorithms for real-time decision-making. Surveillance/IoT: Implementing sensor fusion techniques and real-time video analytics. Project or research experience that demonstrates your ability to solve complex problems in real-time environments is highly desirable. Soft Skills: Problem-Solving: Ability to work through challenging technical problems and innovate solutions. Collaboration: Excellent communication skills to articulate technical concepts to non-technical stakeholders and work effectively in a small, cross-functional team. Adaptability: Self-motivated and eager to learn new domains, with a proactive approach to overcoming technical challenges. Team Spirit: A willingness to contribute ideas, accept feedback, and continuously iterate on solutions. Why Join Us? Innovative Domain: Be at the forefront of merging AI with sports officiating and analytics—a field ripe for innovation. Collaborative Environment: Work directly with the founder and a lean, agile team, where your ideas directly influence the product’s direction. Growth Opportunity: Gain experience in building a product from concept to market, with room to grow as the company scales. Competitive Compensation: We offer a competitive salary with potential equity participation in a rapidly evolving startup.

We're looking for a passionate Machine Learning Engineer with a strong foundation in computer vision, model training and deployment, observability pipelines, and DevOps for AI systems. You’ll play a pivotal role in building scalable, accurate, and production-ready ML systems in a collaborative and distributed environment. Responsibilities Train, fine-tune, and evaluate object detection and OCR models (YOLO, GroundingDINO, PP-OCR, TensorFlow). Build and manage observability pipelines for evaluating model performance in production (accuracy tracking, drift analysis). Develop Python-based microservices and asynchronous APIs for ML model serving and orchestration. Package and deploy ML services using Docker and Kubernetes across distributed environments. Implement and manage distributed computing workflows with NATS messaging. Collaborate with DevOps to configure networking (VLANs, ingress rules, reverse proxies) and firewall access for scalable deployment. Use Bash scripting and Linux CLI tools (e.g., sed, awk) for automation and log parsing. Design modular, testable Python code using OOP and software packaging principles. Work with PostgreSQL, MongoDB, and TinyDB for structured and semi-structured data ingestion and persistence. Manage system processes using Python concurrency primitives (threading, multiprocessing, semaphores, etc.). Required Skills Languages: Python (OOP, async IO, modularity), Bash Computer Vision: OpenCV, Label Studio, YOLO, GroundingDINO, PP-OCR ML & MLOps: Training pipelines, evaluation metrics, observability tooling DevOps & Infra: Docker, Kubernetes, NATS, ingress & firewall configs Data: PostgreSQL, MongoDB, TinyDB Networking: Subnetting, VLANs, service access, reverse proxy setup Tools: sed, awk, firewalls, reverse proxies, Linux process control

About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia. Job Title: AI - ML Developer Key Skills: image analytics, computer vision, and visual data processing, Python, Gen AI Job Locations: Hyderabad Experience: 6 – 10 Years Budget: 16 – 20 LPA Education Qualification : Any Graduation Work Mode: Hybrid Employment Type: Contract Notice Period: Immediate - 15 Days Interview Mode: 2 Rounds of Technical Interview + Including Client round Job Description: Key Focus Areas: · Image Analytics & Computer Vision (CV) · Machine Learning & Deep Learning · Predictive Analytics & Optimization · Generative AI (GenAI) & NLP (as secondary skills) Primary Responsibilities: · Lead and contribute to projects centered around image analytics, computer vision, and visual data processing. · Develop and deploy CV models for tasks such as object detection, image classification, pattern recognition, and anomaly detection. · Apply deep learning frameworks (e.g., TensorFlow, Keras) to solve complex visual data challenges. · Integrate multi-sensor data fusion and multivariate analysis for industrial applications. · Collaborate with cross-functional teams to implement predictive maintenance, fault detection, and process monitoring solutions using visual and sensor data. Mandatory Skills: · Strong hands-on experience in Computer Vision and Image Analytics. · Proficiency in Python and familiarity with AI/ML libraries such as OpenCV, TensorFlow, Keras, scikit-learn, and Matplotlib. · Solid understanding of machine learning techniques: classification, regression, clustering, anomaly detection, etc. · Experience with deep learning architectures (CNNs, autoencoders, etc.) for image-based applications. · Familiarity with Generative AI and LLMs is a plus. Desirable Skills: · Knowledge of optimization techniques and simulation modeling. · Domain experience in Oil & Gas, Desalination, Motors & Pumps, or Industrial Systems. Educational & Professional Background: · Bachelor’s or Master’s degree in Engineering (Mechanical, Electrical, Electronics, Chemical preferred). · Master’s in Industrial/Manufacturing/Production Engineering is a strong plus. · Demonstrated experience in solving real-world industrial problems using data-driven approaches. Soft Skills & Attributes: · Strong analytical and problem-solving skills. · Ability to work independently and manage multiple projects. · Excellent communication and stakeholder engagement skills. · Proven thought leadership and innovation in AI/ML applications. Interested Candidates please share your CV to pnomula@people-prime.com

Ecosight Technologies Pvt. Ltd. is redefining what’s possible at the intersection of AI, IoT, and engineering automation. Our mission began with transforming agriculture through intelligent systems: BeePrecise , our flagship remote beehive monitoring platform, enables precision apiculture powered by real-time data. Now, with Electronix.AI , we’re building tools for the engineers of tomorrow, tools that understand, automate, and accelerate the hardware development cycle. We are also working on Patroller AI , another one of our upcoming ventures. We are a learning engine, driven by curiosity and creativity, constantly evolving to take on challenges that only we can solve, and that genuinely matter. If you're driven by real-world impact, rapid iteration, and full-stack innovation, we’d love to have you on board. We are now looking for a Software Developer Intern - Python (Full-Stack) to join our team! This is your opportunity to be part of a fast-paced startup building AI-powered platforms across agriculture, developer tools, and edge computing. You'll work with people who value autonomy, rapid prototyping, and deep problem-solving, and you'll help shape systems used in the field, not just in the cloud. What You’ll Be Doing (Responsibilities): Develop and optimize backend services using Python (FastAPI, HuggingFace Transformers, OpenCV). Design and deploy APIs for AI-powered automation, video analytics, and search applications. Develop and deploy robust on-premise solutions that integrate seamlessly with existing infrastructure. Implement and manage DevOps pipelines, ensuring continuous integration and deployment workflows across cloud and on-prem environments. Ensure scalability, security, and reliability across infrastructure and applications. Work with databases and caching layers like MySQL, Elasticsearch, Redis, and Vector DBs (Qdrant, ChromaDB, etc.). Develop frontend components using TypeScript, React, and GraphQL to create intuitive user experiences. Troubleshoot and resolve complex system performance issues, particularly for on-prem deployments and high-performance computing environments. (Nice to Have) Experience with Kubernetes for container orchestration What We Need To See: - Backend: Python (FastAPI, HuggingFace, OpenCV), MySQL, RabbitMQ - Front-End: TypeScript, React, GraphQL - AI & Search: Elasticsearch, Redis, Vector DBs (Qdrant, ChromaDB) - Cloud & DevOps: Docker, AWS, Azure, CI/CD, On-Prem Deployments - Bonus: Kubernetes, GPU-based workloads (NVIDIA GPUs preferred Internship Details Duration : 3 months Location : Onsite - Bengaluru Stipend: Monetary compensation included. Additional Perks : Early access to product decisions, real-world deployment experience, high ownership. Hiring Process GitHub Review Intro Call Technical Task Deep Dive Interview Join the Hive!

About the AI Pod: Join our innovative AI Pod focused on revolutionizing performance marketing creatives. Our mission is to build cutting-edge internal tools powered by Artificial Intelligence to automate the creation of high-impact marketing videos. By cutting production time, enabling creatives at scale, and boosting ROI, this pod will directly empower our marketing teams to launch faster, test more rigorously, and drive significant performance improvements across platforms like Meta and Google. Role Summary: We are looking for two skilled and passionate AI Engineers to be foundational members of our AI Pod. You will be responsible for designing, developing, and implementing the core AI and Machine Learning models and systems that power our automated video creation platform. You will work closely with other engineers and a marketing stakeholder to translate creative requirements into intelligent, scalable solutions that deliver against our ambitious goals. Key Responsibilities: Develop and implement AI/ML models and algorithms for various stages of the automated video creation pipeline, including (but not limited to) text-to-video generation, voiceover synthesis, animation sequencing, and content summarization/copy generation. Integrate with and leverage external generative AI APIs and platforms (e.g., Text-to-Video tools like Runway, Pika Labs, Kaiber; Voice Generation tools like ElevenLabs, Play.ht; Language Models like OpenAI, Claude). Design and build data pipelines to process input assets (images, text, product info) and prepare them for AI model consumption. Contribute to the development of the "Smart Creative Engine" (Phase 2), focusing on generating creative variations based on audience, placement, and messaging through intelligent automation. Optimize models and pipelines for performance, scalability, and efficiency to ensure rapid video turnaround times. Collaborate with the fullstack engineer to build robust APIs and backend services that expose AI functionalities to the frontend and potential ad platform integrations. Work closely with the Marketing Stakeholder to understand creative needs, gather feedback, and iterate on AI-generated outputs. Stay up-to-date with the latest advancements in generative AI, computer vision, natural language processing, and automated content creation. Implement best practices for model training, evaluation, deployment, and monitoring. Contribute to code reviews and maintain high code quality standards. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience. Proven experience developing and deploying AI/ML models in a production environment. Strong programming skills in Python. Proficiency with major AI/ML frameworks such as TensorFlow and/or PyTorch. Experience with libraries like Scikit-Learn, Keras, Matplotlib, SciPy, and potentially OpenCV or Tesseract. Familiarity with generative AI concepts and models (e.g., GANs, Transformers, Diffusion Models). Experience working with and integrating external APIs, particularly those related to AI/ML or content generation. Understanding of data processing, feature engineering, and model evaluation techniques. Ability to work effectively in an Agile, cross-functional team environment. Strong problem-solving skills and a creative approach to technical challenges. Bonus Points (Nice to Have): Experience with Text-to-Video generation techniques or platforms. Experience with Voice Generation (TTS) technologies or platforms. Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment and scaling. Experience with containerization (Docker) and orchestration (Kubernetes). Prior experience in the AdTech or Marketing Technology domain. Experience with workflow automation tools like Zapier or Make. Understanding of video processing techniques. What We Offer: The opportunity to be part of a foundational AI Pod with a clear mission and direct impact on business growth. Work on exciting, cutting-edge applications of generative AI in a real-world marketing context. A fast-paced, collaborative, and innovative work environment. The chance to significantly influence the technical direction and success of the AI Pod.

SynapseIndia is a software development company with over 24 years of experience, featuring development offices in India and the USA. We serve clients worldwide, delivering innovative solutions tailored to their needs. Our Noida SEZ office is conveniently located just a 10-minute walk from the nearest metro station. Why work with us? Partnerships with Industry Leaders: We are a Google and Microsoft partner, staffed by certified professionals. Global Presence: As a multinational corporation, we have clients and employees across the globe. Structured Environment: We follow CMMI Level-5 compliant processes to ensure quality and efficiency. Timely Salaries: We have consistently paid salaries on time since our inception. Job Stability: Despite market fluctuations, we have not had to lay off employees. Work-Life Balance: Enjoy weekends off on the 2nd and last Saturday of every month, with no night shifts. Our employees are 100% satisfied, thanks to a culture of trust and growth opportunities. Eco-Friendly Workplace: We promote health and well-being with special anti-radiation and energy removal features in our offices. We prioritize the job security of all our employees. We celebrate all festivals with enthusiasm and joy. Yearly Appraisals: Exceptional performers can receive over 100% increments during appraisals. We recognize and reward top performers on a monthly basis for their outstanding contributions. We provide Accidental and Medical Insurance to our employees. Who are we looking for? Designation : Technical Team Lead (Python and AI/ML) Experience Range : 5+ years What skills and experience are we looking for? Bachelor's/Master’s degree in Computer Science, Engineering, or related field. 5+ years of experience in software development with strong expertise in Python. 3+ years of experience in machine learning, deep learning, or AI-based applications. Proficient in AI/ML libraries like TensorFlow, PyTorch, Scikit-learn, XGBoost, OpenCV etc. Hands-on experience with data preprocessing, model training, validation, and deployment. Familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes). Strong understanding of REST APIs and backend development. Experience with cloud platforms like AWS, Azure, or GCP. Excellent problem-solving, communication, and leadership skills. Experience working in Agile/Scrum teams. Knowledge of data engineering tools (e.g., Spark, Kafka, Snowflake). Publications, open-source contributions, or Kaggle competition experience. Exposure to NLP, computer vision, or generative AI models is a plus. What is the work? Lead and mentor a team of Python and AI/ML engineers. Design, develop, and deploy scalable machine learning models and end-to-end solutions. Collaborate with product managers, data scientists, and other stakeholders to define project goals and technical specifications. Translate business requirements into technical specifications and implementation plans. Architect backend systems using Python frameworks (e.g., FastAPI, Django, Flask). Review code, ensure best practices, and perform unit and integration testing. Monitor and improve model performance, reliability, and scalability in production. Ensure adherence to project timelines and deliverables. Stay current with emerging technologies and integrate them into existing systems as appropriate. Foster a culture of innovation, collaboration, and continuous improvement.

Embedded system design and development Required Candidate profile Experience with Pitorch, AI, Machine learning, Machine vision, C/C++ Programming,