40 Yolo Jobs

Spherex is seeking an Artificial Intelligence (AI) Machine Learning (ML) Engineer to contribute to the development, enhancement, and expansion of our product platform catering to the Media and Entertainment sector. As the AI/ML Engineer, your duties will involve the creation of machine learning models and system retraining. The position is based in Navi Mumbai, India. The ideal candidate should hold a degree in computer science or software development. Proficiency in .Net, Azure, Project management, Team and Client management is essential. Additionally, familiarity with Python, Tensorflow, Pytorch, MySQL, Artificial Intelligence, and Machine Learning is desired. Key requirements for this role include expertise in Python with OOPS concepts, a solid foundation in Natural Language Understanding, Machine Learning, and Artificial Intelligence. Knowledge of ML/DL libraries such as Numpy, Pandas, Tensorflow, Pytorch, Keras, scikit-learn, Jupyter, and spaCy/NLTK is crucial. Hands-on experience with MySQL and NoSQL databases, along with proficiency in scraping tools like BeautifulSoup and Scrapy, is also required. The successful candidate should have experience in web development frameworks like Django and Flask, as well as working with RESTful APIs using Django. Familiarity with end-to-end data science pipelines, strong unit testing and debugging abilities, and applied statistical skills are necessary. Proficiency in Git, Linux OS, ML architectures, and approaches including object detection, semantic segmentation, classification, regression, RNNs, and data fusion is expected. Knowledge of OpenCV, OCR, Yolo, Docker, Kubernetes, ETLPentaho is considered a plus. Candidates must possess a minimum of 4+ years of experience in advanced AI/ML projects within commercial environments. Experience in utilizing AI/ML for video and audio content analysis is advantageous. Education-wise, a college degree in computer science or software development is required, along with excellent documentation and effective communication skills in both technical and non-technical contexts.,

You are an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. Leveraging deep technical expertise, Agile methodologies, and data-driven intelligence, you modernize systems of engagement and simplify human/tech interaction. Amazing things happen in environments where everyone feels a true sense of belonging and has the skills and opportunities to succeed. Investing in talent and supporting career growth is a priority, always looking for amazing talent to contribute to growth by delivering top results for clients. Join the team to challenge yourself and accomplish meaningful work. As a highly experienced Computer Vision Architect with deep expertise in Python, you will design and lead the development of cutting-edge vision-based systems. Architecting scalable solutions leveraging advanced image and video processing, deep learning, and real-time inference, you will collaborate with cross-functional teams to deliver high-performance, production-grade computer vision platforms. Key Responsibilities: - Architect and design end-to-end computer vision solutions for real-world applications like object detection, tracking, OCR, facial recognition, and scene understanding. - Lead R&D initiatives and prototype development using modern CV frameworks such as OpenCV, PyTorch, TensorFlow. - Optimize computer vision models for performance, scalability, and deployment on cloud, edge, or embedded systems. - Define architecture standards and best practices for Python-based CV pipelines. - Collaborate with product teams, data scientists, and ML engineers to translate business requirements into technical solutions. - Stay updated with the latest advancements in computer vision, deep learning, and AI. - Mentor junior developers and contribute to code reviews, design discussions, and technical documentation. Required Skills & Qualifications: - Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field (PhD is a plus). - 8+ years of software development experience, with 5+ years in computer vision and deep learning. - Proficiency in Python and libraries such as OpenCV, NumPy, scikit-image, Pillow. - Experience with deep learning frameworks like PyTorch, TensorFlow, or Keras. - Strong understanding of CNNs, object detection (YOLO, SSD, Faster R-CNN), semantic segmentation, and image classification. - Knowledge of MLOps, model deployment strategies (e.g., ONNX, TensorRT), and containerization (Docker/Kubernetes). - Experience working with video analytics, image annotation tools, and large-scale dataset pipelines. - Familiarity with edge deployment (Jetson, Raspberry Pi, etc.) or cloud AI services (AWS SageMaker, Azure ML, GCP AI).,

About Eternal Robotics Hypervise Hypervise is the flagship industrial AI platform of Eternal Robotics, built to transform real-time quality inspection and automation through advanced computer vision and edge AI. Our clients span automotive, apparel, pharmaceuticals, and more industries where speed, accuracy, and reliability are mission-critical. Role Overview We are looking for a AI Engineer - Computer Vision with 36 years of experience to develop and deploy production-grade CV solutions across our customer sites. This role combines hands-on development of models and algorithms with end-to-end ownership of system integration, testing, and deployment in real-world industrial environments. You will work closely with senior engineers, product leads, and customer teams to bring CV/AI projects to life and continuously improve solution performance. Key Responsibilities 1. Model Development & Testing Build and optimize deep learning models for object detection, segmentation, and classification. Use frameworks like YOLO, OpenCV, TensorFlow, and PyTorch to deliver high-performing models. Validate model accuracy against customer specifications and datasets. 2. CV Pipeline Implementation Develop modular and maintainable computer vision pipelines using Python. Integrate pre-processing, inference, and post-processing components for edge and server-side deployments. 3. Hardware & Deployment Support Work with industrial cameras, Jetson edge devices, and Linux-based systems for field deployment. Support hardware selection and calibration, assist with on-site installations and provide deployment troubleshooting. 4. Testing & Quality Assurance Write and execute test cases to ensure system functionality and robustness in diverse environments. Collaborate with QA and support teams to resolve performance issues. 5. Documentation & Collaboration Document architecture, model performance, and system configurations. Participate in code reviews and peer programming sessions. Coordinate with team leads and project managers to align with delivery timelines. Qualifications & Experience Education: Bachelors in Computer Science, Electronics, or related engineering field. Masters degree or certifications in AI/ML is a plus. Experience: 36 years of hands-on experience in computer vision development, preferably in industrial or real-time environments. Key Technical Skills Proficiency in Python and OpenCV. Experience with deep learning libraries: PyTorch, TensorFlow, Keras. Familiarity with YOLO models (v5/v8), CNNs, object tracking, and segmentation. Working knowledge of Linux environments, Git, and basic shell scripting. Experience with Jetson Nano/Xavier, DeepStream SDK is preferred. Understanding of camera configuration, lighting setups, and imaging constraints. Experience deploying models on edge or embedded devices is a strong advantage. Soft Skills Strong debugging and problem-solving skills. Team player with a willingness to learn and adapt. Effective communicator capable of interfacing with both engineering and customer teams. Disciplined in documentation and reporting. Why Join Hypervise Build solutions that are deployed across real industrial environments. Work alongside passionate technologists in a startup culture. Access to advanced tools, data, and edge-AI hardware. Be part of a company leading the industrial AI revolution. Show more Show less

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, the mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. In collaboration with leading academics, industry experts, and highly skilled engineers, the goal is to equip customers to generate sophisticated new insights from the biggest of big data. Join the team to do the best work of your career and make a profound social impact as an Advisor on the Data Science Team in Bangalore. As a Data Science Advisor, you will contribute to the business strategy and influence decision-making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. Designing processes to consolidate and examine unstructured data to generate actionable insights will be part of your responsibilities. Additionally, you will partner with business leaders, engineers, and industry experts to construct predictive models, algorithms, and probability engines. You will: - Partner with internal and external teams to understand customer requirements and develop proposals. - Conduct interactions with external customers to gather project requirements, provide status updates, and share analytical insights. - Implement preliminary data exploration and data preparation steps for model development/validation. - Apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights. - Solution, build, deploy, and set up monitoring for models. Qualifications: - 6+ years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI. - Working experience in data visualization (e.g., Power BI, matplotlib, plotly). - Hands-on experience with CNN, LSTM, YOLO, and database skills including SQL, Postgres SQL, PGVector, and ChromaDB. - Proven experience in MLOps and LLMOps, with a strong understanding of ML lifecycle management. - Expertise with large language models (LLMs), prompt engineering, fine-tuning, and integrating LLMs into applications for natural language processing (NLP) tasks. Desirable Skills: - Strong product/technology/industry knowledge and familiarity with streaming/messaging frameworks (e.g., Kafka, RabbitMQ, ZeroMQ). - Experience with cloud platforms (e.g., AWS, Azure, GCP). - Experience with web technologies and frameworks (e.g., HTTP/REST/GraphQL, Flask, Django). - Skilled in programming languages like Java or JavaScript. Dell Technologies is committed to providing equal employment opportunities for all employees and creating a work environment free of discrimination and harassment. If you are looking for an opportunity to grow your career with advanced technology and some of the best minds in the industry, this role might be the perfect fit for you. Join Dell Technologies to build a future that works for everyone because Progress Takes All of Us.,

As an AI / ML Engineer, you will be responsible for utilizing your expertise in the field of Artificial Intelligence and Machine Learning to develop innovative solutions. You should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or a related field. With a minimum of 6 years of experience in AI/ML, you are expected to demonstrate proficiency in Python and various ML libraries such as scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn. In this role, you will need a strong understanding of machine learning algorithms and deep learning architectures including CNNs, RNNs, and Transformers. Hands-on experience with TensorFlow, PyTorch, or Keras is essential. You should also have expertise in data preprocessing, feature selection, exploratory data analysis (EDA), and model interpretability. Additionally, familiarity with API development and deploying models using frameworks like Flask, FastAPI, or similar tools is required. Experience with MLOps tools such as MLflow, Kubeflow, DVC, and Airflow will be beneficial. Knowledge of cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML is preferred. Proficiency in version control using Git, CI/CD processes, and containerization with Docker is essential for this role. Bonus skills that would be advantageous include familiarity with NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers), Computer Vision experience using OpenCV or YOLO/Detectron, and knowledge of Reinforcement Learning or Generative AI (GANs, LLMs). Experience with vector databases such as Pinecone or Weaviate, as well as LangChain for AI agent building, is a plus. Familiarity with data labeling platforms and annotation workflows will also be beneficial. In addition to technical skills, you should possess soft skills such as an analytical mindset, strong problem-solving abilities, effective communication, and collaboration skills. The ability to work independently in a fast-paced, agile environment is crucial. A passion for AI/ML and a proactive approach to staying updated with the latest developments in the field are highly desirable for this role.,

As a Lead Data Scientist/AI Product Owner at a reputed IT MNC in Gurgaon, your primary responsibility will be AI Model Development & Deployment, focusing on Computer Vision & Deep Learning. You will be leading the design and implementation of computer vision models for various tasks such as object detection, tracking, segmentation, and action recognition. Your expertise will include architectures like YOLO (v4, v5, v8), Vision Transformers, Mask R-CNN, Faster R-CNN, LSTMs, and Spatio-Temporal Models for image and video analysis. Additionally, you will contextualize the model for challenging situations such as poor detection through specific training on different scenarios. Another key aspect of your role will involve Reinforcement Learning & Model Explainability, where you will develop and integrate reinforcement learning models to optimize decision-making in dynamic AI environments. You will work with techniques such as Deep Q-Networks (DQN), Proximal Policy Optimization (PPO), A3C, SAC, and other RL methods. Furthermore, you will lead the development of a Scalable Data Model for AI Model Training Pipelines, overseeing the end-to-end data preparation process, including data gathering, annotation, and quality review before training. You will focus on enhancing the quality and volume of training data to continually improve model performance and have the ability to think through the data model for future enhancements. In terms of technical skills, you are expected to have a proven track record of leading and delivering AI products, hands-on expertise with advanced AI models, experience in managing and mentoring a small team of data scientists, proficiency in AI/ML frameworks like TensorFlow, PyTorch, and Keras, effective collaboration with cross-functional teams, and strong problem-solving skills in image and video processing. Nice-to-have skills include Experimentation, Iterative Improvement and Testing, Collaboration with Engineering and Product Teams, and Team Leadership. To qualify for this role, you should have at least 10 years of hands-on experience in AI with a solid background in object detection, image and video processing, and computer vision.,

You should have a Bachelors degree in Computer Science, Electrical Engineering, or a related field. A strong understanding of computer vision fundamentals including image processing and feature extraction is required. Experience with machine learning frameworks like OpenCV, TensorFlow, PyTorch, or Keras is essential. Proficiency in Python and relevant libraries such as NumPy, SciPy, and Matplotlib is expected. Basic knowledge of deep learning models like CNNs, RNNs, and transformers is necessary. Familiarity with model architectures such as ResNet, YOLO, SSD, and U-Net is preferred. You should have an understanding of algorithms, data structures, and relevant mathematical concepts. Knowledge of cloud platforms like AWS and GCP, as well as edge computing frameworks, is a plus. Experience with GPU computing using CUDA and cuDNN is beneficial. Previous hands-on experience in computer vision projects or open-source contributions would be desirable for this role.,

Sizzle is an exciting new startup that is revolutionizing the gaming industry by developing AI to automate gaming highlights directly from Twitch and YouTube streams. We are currently seeking a talented engineer with expertise in computer vision and AI technologies related to image and video analysis. As a part of our team, you will be responsible for developing computer vision algorithms to identify key moments within popular online games. You will utilize foundational technologies such as TensorFlow, OpenCV, and others to build advanced models. Additionally, you will design neural network architectures specifically tailored for image and video analysis in the realm of popular games. Your role will involve specifying precise requirements for training data sets and collaborating with analysts to create these data sets. Furthermore, you will be responsible for training final models using techniques like transfer learning and data augmentation to optimize models for deployment in a production environment. Cooperation with back-end engineers will be essential to integrate all detection algorithms into production and automate the highlight creation process. The ideal candidate possesses a strong understanding of computer vision and AI frameworks and algorithms, particularly in image and video analysis. Proficiency in Python, TensorFlow, OpenCV, and other computer vision tools is required. Familiarity with common computer vision object detection models such as Inception, R-CNN, Yolo, MobileNet SSD, and others is beneficial. A demonstrated understanding of various algorithms for image and video analysis, such as CNNs and LSTM for motion and inter-frame analysis, is essential. Experience with AWS environments is preferred. A passion for working in a dynamic startup environment, a willingness to learn quickly on the job, experiment with new approaches, and deliver results are highly valued qualities. Ideally, candidates with a background in gaming or a keen interest in watching gaming content online are encouraged to apply. Key Skills: - Machine Learning - Computer Vision - Image Processing - Neural Networks - TensorFlow - OpenCV - AWS - Python Seniority Level: Open to junior or senior engineers based on skillset rather than experience level. Salary: Commensurate with experience. We welcome applications from individuals with the relevant experience, regardless of their seniority. However, applicants without AI or computer vision experience are advised not to apply.,

We are seeking a proactive Computer Vision Engineer who excels in dynamic environments and has a passion for developing practical AI systems. If you have a keen interest in working with video, visual data, cutting-edge ML models, and resolving impactful challenges, we are eager to connect with you. This position merges deep learning, computer vision, and edge AI, focusing on constructing scalable models and intelligent systems to drive our advanced sports technology platform. Your responsibilities will include designing, training, and refining deep learning models for real-time object detection, tracking, and video comprehension. You will be responsible for implementing and deploying AI models utilizing frameworks such as PyTorch, TensorFlow/Keras, and Transformers. Working with video and image datasets using tools like OpenCV, YOLO, NumPy, Pandas, and visualization tools like Matplotlib will be a key aspect of your role. Collaborating closely with data engineers and edge teams to deploy models on real-time streaming pipelines will also be part of your duties. Additionally, you will need to optimize inference performance for edge devices such as Jetson and T4, and manage video ingestion workflows. You will also be expected to rapidly prototype new concepts, perform A/B tests, and validate enhancements in real-world scenarios. Clear documentation of processes, effective communication of findings, and contributing to the expansion of our AI knowledge base are essential aspects of this role. To be successful in this position, you should possess a strong command of Python and have familiarity with C/C++. Experience with deep learning frameworks such as PyTorch, TensorFlow, and Keras is required. A solid understanding of YOLO, Transformers, or OpenCV for real-time visual AI is essential. Proficiency in data preprocessing, feature engineering, and model evaluation using NumPy, Pandas, etc., is also necessary. A good grasp of computer vision, convolutional neural networks (CNNs), and object detection techniques is expected. Exposure to video streaming workflows like GStreamer, FFmpeg, and RTSP will be advantageous. The ability to write clean, modular, and efficient code is crucial for this role. Experience in deploying models in production, particularly on GPU/edge devices, is highly valued. An interest in reinforcement learning, sports analytics, or real-time systems will be considered a plus. An undergraduate degree in Computer Science, Artificial Intelligence, or a related field is required, while a Master's or PhD is preferred. A strong academic background will be beneficial for this position.,

As a Senior AI Engineer at Avathon, you will be part of a cutting-edge team revolutionizing industrial AI by developing groundbreaking solutions that shape the future. Your role will involve designing, training, and deploying computer vision models using frameworks like TensorFlow, PyTorch, or ONNX to harness the full potential of operational data. You will utilize your expertise in model optimization techniques such as quantization, pruning, distillation, and structured sparsity to enhance performance on edge devices and low-power hardware. Hands-on experience with state-of-the-art architectures like YOLO, Faster R-CNN, and Vision Transformers will be essential for optimizing models for deployment in industrial environments. Your strong understanding of image preprocessing, feature extraction, traditional computer vision techniques, and end-to-end model pipelines will enable you to create real-time virtual replicas of physical assets for predictive maintenance, performance simulation, and operational optimization. Proficiency in Python and C++ for developing AI solutions, along with experience in parallel processing and hardware-aware optimizations, will be key in driving AI-driven projects that have a meaningful impact across industries. Furthermore, your expertise in profiling and optimizing model inference speed, memory usage, and throughput for resource-constrained environments, as well as practical experience in deploying AI models on embedded systems and low-power hardware, will be crucial for anomaly detection, performance forecasting, and asset lifetime extension in industrial settings. Familiarity with MLOps practices, version control with Git, and collaborative workflows will ensure efficient management of AI workflows and seamless collaboration within cross-functional teams. Join Avathon in Bengaluru and thrive in a high-growth environment where agility, collaboration, and rapid professional growth are the norm. Make a difference by working on AI-driven projects that drive real change across industries and improve lives. If you are a forward-thinking AI Engineer with a passion for innovation and a drive to create scalable solutions in industrial AI, we invite you to be a part of our team and contribute to the revolutionizing of industrial AI.,

As an AI/ML Engineer at our company, your primary responsibility will involve designing and prototyping core machine learning architectures to drive our solution. You will work closely with the founder to brainstorm and select the best approaches for computer vision, sensor fusion, and reinforcement learning applications specifically tailored for cricket and badminton. We are particularly interested in candidates with experience in related areas such as robotics, autonomous systems, sports analytics, surveillance, or IoT due to the unique nature of this new domain. We value creative problem solvers who can adapt their skills to meet the challenges presented in our project. Your key responsibilities will include proposing and evaluating AI/ML architectures for real-time officiating tasks, developing computer vision algorithms for object detection and tracking, designing reinforcement learning models for dynamic camera control, and building predictive models for real-time decision-making. Additionally, you will be integrating data from various sensors to enhance event detection accuracy, optimizing models for low-latency performance, and prototyping AI/ML modules using real or simulated data. You must also document architecture decisions, model designs, and implementation details, while staying updated on recent research and advancements in computer vision, machine learning, and reinforcement learning to enhance our product. Collaboration is essential, as you will participate in technical reviews, provide insights on system improvements, and work closely with the full-stack developer to integrate AI components into the software system. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related discipline with a focus on machine learning, computer vision, robotics, or data science. Proficiency in Python and familiarity with C++, experience with deep learning frameworks such as TensorFlow or PyTorch, hands-on experience with computer vision libraries, and understanding of reinforcement learning concepts are required technical skills. Familiarity with sensor fusion techniques, optimization for real-time systems, and software engineering practices is also expected. While direct experience in sports officiating is not mandatory, experience in fields like sports analytics, robotics, surveillance, or IoT will be advantageous. Soft skills such as problem-solving abilities, effective collaboration, adaptability, and team spirit are highly valued in our team. Join us to be part of an innovative domain that merges AI with sports officiating and analytics, work in a collaborative environment directly influencing the product's direction, gain growth opportunities as the company scales, and receive competitive compensation with potential equity participation in a rapidly evolving startup.,

Genrobotics Innovations is seeking a passionate and talented machine learning intern with a strong foundation in machine learning (ML) and deep learning (DL) algorithms, particularly in the area of computer vision. The ideal candidate will possess a deep understanding of various ML/DL techniques and their applications to real-world problems. In this role, you will collaborate closely with team stakeholders, contributing to the development, testing, analysis, and optimization of advanced machine learning algorithms for our AI systems. You will work on projects that involve data preprocessing, model development, and fine-tuning, with a focus on delivering high-performing solutions. This internship offers a unique opportunity to gain hands-on experience in cutting-edge AI technologies, while contributing to the development of innovative solutions that impact real-world applications. It is an excellent opportunity for anyone looking to expand their expertise in the fast-evolving field of artificial intelligence and computer vision. Responsibilities And Duties - Collaborate with other team members to understand the requirement and gather data. - Develop ML/DL algorithms specifically computer vision models, test, analyse and optimize the model. - Collect data for the model from different sources, preprocess and augment it to develop efficient, data-driven models. - Collaborate with different stakeholders of the team to gather requirements, develop POCs, and implement the best possible solution. - Develop a user interface for the application so that the end-user can make use of the AI system. - Document the work processes, methodologies, and results to ensure transparency and facilitate knowledge sharing. - Stay up-to-date with latest trends, tools, and technologies in machine learning and computer vision. Skills Required - Knowledge of machine learning concepts and techniques. - Profound knowledge of Python programming language. - Familiarity with ML libraries such as OpenCV, numpy, pandas, sklearn, and matplotlib. - Knowledge of mediapipe would be a plus but not mandatory. - Strong analytical and problem-solving skills. - Ability to collaborate with different team members and communicate effectively. Basic qualification: Currently pursuing bachelor's or masters in computer science, information technology, artificial intelligence, or related fields. Experience: Fresher. Job Location: Ernakulam, Kerala. Note: This is a paid internship.,

We are seeking a skilled and driven AI Developer to create, implement, and launch advanced machine learning models and artificial intelligence solutions. The ideal candidate will possess strong programming abilities, a profound comprehension of machine learning algorithms, and proficiency in model deployment and refinement. Your primary responsibilities will include crafting and executing ML models and AI solutions utilizing suitable algorithms, examining extensive datasets to extract valuable patterns for business decisions, and refining machine learning models to ensure optimal performance. You will also be involved in constructing pipelines for data preprocessing, model training, testing, and deployment, as well as integrating ML models into production through REST APIs, Docker, or cloud services (e.g., AWS SageMaker, GCP AI Platform, Azure ML). Monitoring and enhancing model accuracy, scalability, and dependability post-deployment will also be part of your duties. Collaboration with cross-functional teams comprising product, engineering, and data science professionals to incorporate ML solutions into existing systems is crucial. You will be expected to research and implement new AI methodologies while staying abreast of the latest trends in the field. The ideal candidate should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficiency in Python and libraries like TensorFlow, PyTorch, and Scikit-learn is essential. A solid grasp of supervised, unsupervised, and reinforcement learning techniques is required, along with experience in NLP, computer vision, or time-series forecasting projects. Familiarity with data processing tools such as Pandas, NumPy, and SQL is expected, as well as knowledge of statistics, linear algebra, and probability theory. Experience in deploying models using Flask/FastAPI, Docker, and CI/CD pipelines is preferred. Familiarity with cloud platforms like AWS, GCP, or Azure, as well as proficiency in version control systems (Git) and collaborative tools like JIRA and Confluence, are advantageous. Hands-on experience with MLOps practices, model monitoring tools, Hugging Face Transformers, OpenCV, YOLO, and similar tools will be beneficial. Participation in Kaggle competitions, published papers, or GitHub AI/ML projects is considered a strong advantage. This is a full-time position located in Nagpur with a salary as per market standards. The ideal candidate should have 2-4 years of experience and be below 35 years old. Educational requirements include a Bachelors or Masters degree or equivalent in a relevant field. Proficiency in English and Hindi is required. Please note that there are no specific perks and benefits mentioned for this position.,

We are looking for a skilled Deep Learning Engineer with strong expertise in object detection and segmentation model development. The ideal candidate should have hands-on experience with deep learning frameworks, data preparation, and model deployment on various environments, including Docker and Linux/Windows systems. This role involves both applied implementation and research-driven development of computer vision models for real-world applications. Key Responsibilities: 1. Object Detection & Segmentation: Hands-on experience in implementing and fine-tuning object detection models such as YOLOvX, EfficientDet, Faster R-CNN, SSD, and Mask R-CNN. Work on real-time object detection use cases with performance optimization. 2. Programming & Frameworks: Strong programming experience in Python. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, OpenCV, and ONNX. 3. Data Preparation & Annotation: Expertise in dataset creation, annotation, augmentation, and preprocessing. Experience with tools like Roboflow, CVAT, LabelImg, and similar annotation platforms. 4. Model Research & Development: Ability to understand and implement state-of-the-art research papers. Participate in R&D activities to improve model accuracy, efficiency, and robustness. 5. System & Deployment Experience: Proficient with Linux and Windows operating systems for model development and deployment. Experience with Docker for containerizing ML models and setting up reproducible environments. Familiarity with model deployment practices for local, cloud, or edge systems. 6. Collaboration & Documentation: Work closely with cross-functional teams including data engineers, software developers, and product managers. Document code, experiments, results, and deployment procedures. Preferred Experience & Skills: 2+ years of hands-on experience in deep learning, particularly in computer vision and object detection. Exposure to model optimization techniques (e.g., quantization, pruning). Knowledge of deployment pipelines using Docker, and optionally Kubernetes. Experience with edge deployment on devices like NVIDIA Jetson or using frameworks like TensorRT/OpenVINO. Strong problem-solving skills and the ability to work independently and collaboratively in a team environment. Familiarity with experiment tracking tools (e.g., MLflow, Weights & Biases) is a plus.

Visionify is dedicated to leveraging the potential of Computer Vision and AI for various real-world applications. We are currently seeking a highly skilled, motivated, and enthusiastic Senior Computer Vision Engineer to play a crucial role in implementing our strategic plans. As a Senior Computer Vision Engineer at Visionify, you will be tasked with tackling cutting-edge challenges in the realm of Computer Vision by devising innovative algorithms and optimizations. The majority of our projects revolve around practical applications of Computer Vision, necessitating a strong grasp of contemporary model types such as Classification, Object detection, Object Recognition, OCR, LayoutML, and GAN networks. Proficiency in Pytorch is essential for this role, as it serves as our primary programming language. Familiarity with Azure and Azure ML Studio would be advantageous. Candidates applying for this position should remain abreast of the latest advancements and actively contribute to enhancing the Pytorch project's performance and accuracy. Your expertise in PyTorch and its underlying mechanisms will be pivotal in resolving customer challenges and offering valuable insights into product improvements. Experience in optimizing and streamlining models for deployment on edge devices, as well as converting models to NVIDIA TensorRT, will be highly valued. A strong foundation in Python programming is indispensable, given its widespread use in our organization for developing training and inference pipelines. Effective communication and presentation skills are also crucial. The ideal candidate will exhibit a deep passion for artificial intelligence and a commitment to staying updated on industry trends. **Responsibilities:** - Understanding business objectives and devising Computer Vision solutions that align with these goals, including developing training and inference frameworks and leveraging various ML technologies. - Building and optimizing Pytorch models for different runtime environments, including NVIDIA Jetson TensorRT. - Guiding the development team, addressing their queries, and facilitating the timely completion of their tasks. - Creating ML/Computer Vision algorithms to address specific challenges. - Analyzing and visualizing data to identify potential performance-affecting disparities in data distribution, especially when deploying models in real-world scenarios. - Establishing processes for core team operations, such as data acquisition, model training, and prototype development. - Identifying and utilizing open-source datasets for prototype building. - Developing pipelines for data processing, augmentation, training, inference, and active retraining. - Training models, fine-tuning hyperparameters, and devising strategies to address model errors. - Deploying models for production use. **Requirements:** - Bachelor's or Master's degree in Computer Science, Computer Engineering, IT, or a related field. - Minimum of 5 years of relevant experience; candidates with exceptional skills but less experience are encouraged to apply. - Industry experience in Image & Video Processing, including familiarity with OpenCV, GStreamer, TensorFlow, PyTorch, TensorRT, and various model training/inference techniques. - Proficiency in deep learning classification models (e.g., ResNet, Inception, VGG) and object detection models (e.g., MobileNetSSD, Yolo, FastRCNN, MaskRCNN). - Strong command of Pytorch, Torchvision, and the ability to develop training routines and update models effectively. - Familiarity with Colab, Jupyter Notebook, CUDA/GPU, and CNN visualization techniques like CAM and GradCAM. - Expertise in Computer Vision and real-time video processing methods. - Proficient in Python programming and adept at writing reusable code. - Experience with OpenCV, Scikit packages, NVIDIA platform tools (e.g., Deepstream, TensorRT), Python web frameworks (e.g., Flask, Django, FastAPI), and ML platforms (e.g., PyTorch, TensorFlow). - Knowledge of AWS SageMaker, various databases (e.g., Elasticsearch, SQL, NoSQL, Hive), cloud environments (preferably AWS) for software development, GPU-based training infrastructures, Docker, and DevOps and MLOps best practices for ML systems. **Desired Traits:** - Collaborative mindset and ability to thrive in a team environment. - Adaptability to evolving requirements. - Proclivity for innovative problem-solving. - Strong focus on work quality and developing robust code.,

You are a Python - AI/ML Developer joining the team at Vexil Infotech Private Limited in Lucknow. Your primary responsibility will be to develop and maintain software applications using Python. Your role will involve working with Python programming language, frameworks, libraries, and tools. You will be required to debug and troubleshoot existing applications and develop new applications as well. To excel in this role, you must possess a strong knowledge of Python programming language and its associated frameworks, libraries, and tools. Experience with web development frameworks like Django, Flask, and Pyramid is essential. Additionally, proficiency in object-oriented programming, design patterns, and databases such as SQL and Firebase is required. Familiarity with Machine Learning (ML) libraries like TensorFlow, Scikit-learn, YOLO, or PyTorch, as well as Artificial Intelligence (AI) techniques and frameworks, is a plus. As a Python - AI/ML Developer, you will collaborate with cross-functional teams to design efficient software solutions, develop high-quality Python code for various applications, and work with SQL databases for effective data management. Your role will also involve implementing AI/ML algorithms to address real-world business challenges, performing Data Analysis to extract insights from large datasets, and troubleshooting software issues promptly. To be successful in this position, you should stay updated with industry trends and best practices in Python development, AI, and Machine Learning. A Bachelor's degree in Computer Science or a related field is preferred for this role. Vexil Infotech offers a competitive salary and benefits package, a work-life balance of 5.5 days, health insurance, opportunities for professional growth, a friendly work environment, and an attractive incentive and appraisal structure.,

Job Description Job Title: Data Engineer Your Role: Design, create, test and maintain data pipeline architecture in collaboration with the Data Architect. Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies. Support the translation of data needs into technical system requirements. Support in building complex queries required by the product teams. Build data pipelines that clean, transform, and aggregate data from disparate sources. Develop, maintain and optimize ETLs to increase data accuracy, data stability, data availability and pipeline performance. Engage with Product Management and Business to deploy and monitor products/services on cloud platforms. Stay up to date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased data sets of consumer experience. Handle data integration, consolidation and reconciliation activities for digital consumer / medical products. You're the right fit if: Masters or Ph.D. in Computer Science, Electrical, Electronics Engineering or related field. Min. 4 yrs of experience in AI & Data Science field. Understanding of the state-of -the-art Computer vision, NLP, GenAI for Imaging algorithms. Experience in using GenAI techniques like Agentic frameworks, Auto encoders, Transformers, LLMs, RAG Architecture. Experience in CV based Deep Learning models like Unet, YOLO etc. Experience with Machine learning and deep learning frameworks like PyTorch , Tensorflow, OpenCV. Experience in Cloud deployment of AI algorithms. Application knowledge on Statistics skills such as distributions, statistical testing, regression, etc. Experience with one or more analytic software tools or languages like Python. Strong analytical, problem solving and communication skills. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. u2022 Learn more about . u2022 Discover . u2022 Learn more about . If youu2019re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care . #DIW #LI-PHILIN #PersonalHealth

As a Senior Data Scientist with 5+ years of experience, you will play a crucial role in our team based in Indore/Pune. Your responsibilities will involve designing and implementing models, extracting insights from data, and interpreting complex data structures to facilitate business decision-making. You should have a strong background in Machine Learning areas such as Natural Language Processing, Machine Vision, Time Series, etc. Your expertise should extend to Model Tuning, Model Validation, Supervised and Unsupervised Learning. Additionally, hands-on experience with model development, data preparation, and deployment of models for training and inference is essential. Proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis and exploration are key skills required for this role. You should be adept at developing code that enables reproducible data analysis. Familiarity with AWS services like Sagemaker, Lambda, Glue, Step Functions, and EC2 is expected. Knowledge of data science code development and deployment IDEs such as Databricks, Anaconda distribution, and similar tools is essential. You should also possess expertise in ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis. Your skills should include proficiency in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. Experience with end-to-end model deployment and production for at least 1 year is required. Familiarity with Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker is preferred. Basic knowledge of deep learning algorithms like MaskedCNN, YOLO, and visualization and analytics/reporting tools such as Power BI, Tableau, Alteryx would be advantageous for this role.,

As a Machine Learning Engineer specializing in Computer Vision, you will play a crucial role in designing, developing, and deploying cutting-edge computer vision models and algorithms for real-world robotic applications. Working alongside a talented team, you will utilize state-of-the-art deep learning techniques to solve complex vision problems ranging from object detection to image segmentation and 3D perception. Your contributions will directly influence the evolution of intelligent systems within the field of robotics. This position is based on-site in Pune and requires immediate availability for joining within one month. Qualifications: - Educational Background: B.Tech., B.S., or B.E. in CSE, EE, ECE, ME, Data Science, AI, or related fields with a minimum of 2 years of hands-on experience in Computer Vision and Machine Learning. Alternatively, an M.S. or M.Tech. in the same disciplines with 2 years of practical experience in Computer Vision and Python programming. - Technical Expertise: You should possess strong experience in developing deep learning models and algorithms for various computer vision tasks, including object detection, image classification, segmentation, and keypoint detection. Proficiency in Python and ML frameworks like PyTorch, TensorFlow, or Keras is essential. Additionally, experience with OpenCV for image processing and computer vision pipelines is required. A solid understanding of convolutional neural networks (CNNs) and other vision-specific architectures such as YOLO, Mask R-CNN, and EfficientNet is expected. Ability to build, test, and deploy robust models using PyTest or PyUnit testing frameworks is necessary. Hands-on experience with data augmentation, transformation, and preprocessing techniques for visual data is also a key requirement. Familiarity with version control using Git is a plus. - Desirable Skills: Experience with 3D vision, stereo vision, or depth sensing technologies will be advantageous. Familiarity with ROS2 for integrating vision systems into robotic platforms, understanding of sensor fusion techniques (e.g., LiDAR, depth cameras, IMUs), exposure to MLOps for deploying and maintaining computer vision models in production environments, knowledge of CMake for building and integrating machine learning and vision-based solutions, experience with cloud-based solutions for computer vision, and ability to work with CUDA, GPU-accelerated libraries, and distributed computing environments are desirable skills. Location: This role is on-site in Pune, India, and immediate availability for joining is required. Why Join Us - Shape the future of robotics and AI by focusing on state-of-the-art computer vision applications. - Work in a dynamic and collaborative environment with a team of highly motivated engineers. - Competitive salary and benefits package, including performance-based incentives. - Opportunities for growth and professional development, including mentorship from industry experts. If you are passionate about leveraging deep learning and computer vision to develop intelligent systems that perceive and interact with the world, we look forward to hearing from you!,

You will be responsible for building and maintaining backend logic in PHP (CodeIgniter) and Python (Flask, FastAPI, etc.). Additionally, you will design and implement computer vision workflows using tools such as OpenCV, YOLOv8, MediaPipe, or equivalent tools. Your tasks will involve working with image/video inputs to perform real-time detection of various elements like faces, objects, license plates, hazards, etc. Furthermore, you will integrate with third-party APIs, IoT devices, and edge-based platforms such as Jetson Nano, Raspberry Pi. It will be crucial for you to optimize vision pipelines for enhanced performance, accuracy, and reliability. Your role will also include deploying and enhancing full-stack solutions. To excel in this position, you should hold a Bachelor's degree and possess a minimum of 3 years of hands-on experience with PHP and Python. Demonstrated expertise with OpenCV and YOLO (v5/v8 preferred) is essential. A strong understanding of image processing, video analytics, and real-time detection is required. Proficiency in Linux environments, Git, and REST APIs is expected. Familiarity with edge AI, ONNX, or experience in deploying models on Jetson/Raspberry Pi will be advantageous. Knowledge of object tracking, counting, pose estimation, etc., will also be beneficial for this role.,

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Principal Consultant - Data Scientists with Computer vision experience! We are seeking a tenured and highly skilled Data Scientist with deep expertise in Computer Vision and a strong foundation in AI/ML modeling. The ideal candidate will not only lead the development of intelligent vision systems but will also serve as a technical mentor, providing guidance to junior data scientists on model selection, optimization, and deployment strategies. Experience in domains such as energy, power generation, industrial equipment, or manufacturing will be considered a strong advantage, as the role involves solving real-world visual AI/ML problems in industrial environments. Key Responsibilities: Lead CV Projects: Design and deliver Computer Vision models across a range of use cases (e.g., anomaly detection, visual inspections, OCR, predictive maintenance). Model Development: Develop, evaluate, and optimize state-of-the-art AI/ML models (e.g., CNNs, Vision Transformers, YOLO, Faster R-CNN, etc.). Mentorship: Guide junior and mid-level data scientists on best practices in feature engineering, model selection, evaluation metrics, and problem-solving strategies. Domain Translation: Translate complex industrial problems into AI-driven CV solutions that can scale in production environments. Collaboration: Work closely with software engineers, MLOps , and business teams to ensure model integration and operational success. Code Quality & Experimentation: Drive code modularity, reproducibility, and experimentation through use of ML pipelines, version control, and testing. Innovation & Research: Stay current with latest CV and AI/ML advancements and apply them appropriately to business problems. Stakeholder Communication: Present insights, models, and outcomes in a clear and impactful way to both technical and non-technical stakeholders. Qualifications we seek in you! Minimum Qualifications Master&rsquos or PhD in Computer Science, Machine Learning, AI, Electrical Engineering, or a related field. industry experience in building and deploying machine learning models, with a strong portfolio in Computer Vision. Deep expertise in ML frameworks and CV libraries such as PyTorch , TensorFlow, OpenCV, Detectron2, MMDetection , etc. Solid understanding of core AI/ML algorithms - classification, regression, segmentation, object detection, time-series, clustering, etc. Experience with MLOps tools (e.g., MLflow , DVC, Kubeflow) and cloud platforms (AWS/GCP/Azure). Strong communication , leadership, and team collaboration skills . Preferred Qualifications: Prior experience in domains such as energy, utilities, power generation, or industrial systems is highly preferred. Experience deploying CV models within real-time environments. Contributions to open-source CV projects or published research. Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. Lead the development of CI/CD pipelines and standardize deployment frameworks. Strong Python programming skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

You will be working at ClearTrail, where the focus is on developing solutions to empower organizations dedicated to ensuring the safety of their people, places, and communities. With over 23 years of experience, ClearTrail has been a trusted partner for law enforcement and federal agencies worldwide in safeguarding nations and enriching lives. As part of the team, you will contribute to the future of intelligence gathering by creating artificial intelligence and machine learning-based lawful interception and communication analytics solutions to address some of the world's most challenging problems. Your role will involve developing and training machine learning models that leverage drone, satellite, and real-time video data for complex visual understanding tasks. You should have a minimum of 10-12 years of relevant experience for this position. Key responsibilities of the role include: - Building machine learning and deep learning models for image and video classification, segmentation, and spatiotemporal analysis. - Developing fusion methods to align and combine data from satellite, drone, and ground footage. - Applying advanced techniques such as multi-scale learning, temporal modeling (e.g., 3D CNNs, transformers), and sensor fusion. - Conducting model evaluation and optimization across various data sources. Essential skills for this role include: - Strong proficiency in Python coding and data manipulation using libraries such as NumPy, Pandas, and SciPy. - Expertise in vision/model libraries like MMDetection, Detectron2, and OpenCV. - Deep learning experience with PyTorch, TensorFlow, and video models such as TimeSformer, SlowFast, I3D, and Yolo. - Knowledge of satellite/drone geospatial fusion, GPS/IMU metadata, and scene alignment. - Familiarity with time series analysis, motion tracking, and optical flow using tools like RAFT and FlowNet. - Understanding of remote sensing libraries such as Rasterio, GDAL, GeoPandas, and xarray. If you are passionate about leveraging machine learning and artificial intelligence to address complex challenges in intelligence gathering, this role at ClearTrail offers an exciting opportunity to make a meaningful impact.,

You will be responsible for developing and training machine learning models that leverage drone, satellite, and real-time video data to tackle complex visual understanding tasks. Your primary focus will be on building ML/DL models for image and video classification, segmentation, and spatiotemporal analysis. Additionally, you will be tasked with developing fusion methods that align and merge data from satellite, drone, and ground footage sources. To excel in this role, you must have a minimum of 10-12 years of relevant experience. You should possess strong Python coding skills along with expertise in data manipulation using libraries such as NumPy, Pandas, and SciPy. Proficiency in vision/model libraries such as MMDetection, Detectron2, and OpenCV is essential. Moreover, you must have hands-on experience in deep learning frameworks like PyTorch and TensorFlow, particularly in developing video models with TimeSformer, SlowFast, I3D, Yolo, among others. Your expertise should extend to satellite/drone geospatial fusion, GPS/IMU metadata, and scene alignment. Familiarity with time series analysis, motion tracking, and optical flow techniques (e.g., RAFT, FlowNet) is beneficial. In addition, knowledge of remote sensing libraries like Rasterio, GDAL, GeoPandas, and xarray will be advantageous for this role. Your responsibilities will also include model evaluation and optimization across various data sources, ensuring the delivery of high-quality solutions that contribute to the future of intelligence gathering.,

Job Description: As a Data Scientist at Hitachi Solutions India Pvt Ltd in Pune, India, you will be a valuable member of our dynamic team. Your primary responsibility will be to extract valuable insights from complex datasets, develop advanced analytical models, and drive data-driven decision-making across the organization. With 8-14 years of experience, your primary skills should include Data Science, with secondary skills in Data Engineering/Data Analytics. You will play a pivotal role in working on cutting-edge AI applications with a focus on Natural Language Processing (NLP), Time Series Forecasting, and a working knowledge of Computer Vision (CV) techniques. Your role will involve collaborating with a diverse team of engineers, analysts, and domain experts to build holistic, multi-modal solutions. Your expertise in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA will be essential. Additionally, you should have a strong understanding of the model development lifecycle, from data ingestion to deployment, and hands-on experience with SQL and data visualization tools like Seaborn, Matplotlib, and Tableau. Experience in handling retail-specific data, familiarity with cloud platforms like AWS, GCP, or Azure, and exposure to API development (FastAPI, Flask) for ML model deployment will be beneficial. Knowledge of MLOps practices, previous experience in fine-tuning language models, and expertise in Data Engineering using Azure technologies are desirable skills for this role. Key responsibilities will include applying NLP techniques to extract insights from text data, analyzing historical demand data for Time Series Forecasting, and potentially contributing to Computer Vision projects. Collaboration with cross-functional teams and developing scalable ML components for production environments will be crucial aspects of your role. Qualifications required for this position include a Master's degree in Computer Science, Data Science, Statistics, or a related field, proven experience in data science or machine learning, strong proficiency in Python and SQL, and familiarity with cloud technologies like Azure Databricks and MLflow. Excellent problem-solving skills, strong communication abilities, and the capability to work independently and collaboratively in a fast-paced environment are essential for success in this role. Please be cautious of potential scams during the recruitment process, and all official communication regarding your application and interview requests will be from our @hitachisolutions.com domain email address.,

You will be responsible for owning the full ML stack that is capable of transforming raw dielines, PDFs, and e-commerce images into a self-learning system that can read, reason about, and design packaging artwork. This includes building data-ingestion & annotation pipelines for SVG/PDF to JSON conversion, designing and modifying model heads using technologies such as LayoutLM-v3, CLIP, GNNs, and diffusion LoRAs, training & fine-tuning on GPUs, as well as shipping inference APIs and evaluation dashboards. Your daily tasks will involve close collaboration with packaging designers and a product manager, establishing you as the technical authority on all aspects of deep learning within this domain. Your key responsibilities will be divided into three main areas: **Area Tasks:** - Data & Pre-processing (40%): Writing robust Python scripts for parsing PDF, AI, SVG files, extracting text, colour separations, images, and panel polygons. Implementing tools like Ghostscript, Tesseract, YOLO, and CLIP pipelines. Automating synthetic-copy generation for ECMA dielines and maintaining vocabulary YAMLs & JSON schemas. - Model R&D (40%): Modifying LayoutLM-v3 heads, building panel-encoder pre-train models, adding Graph-Transformer & CLIP-retrieval heads, and running experiments, hyper-param sweeps, ablations to track KPIs such as IoU, panel-F1, colour recall. - MLOps & Deployment (20%): Packaging training & inference into Docker/SageMaker or GCP Vertex jobs, maintaining CI/CD, experiment tracking, serving REST/GraphQL endpoints, and implementing an active-learning loop for designer corrections. **Must-Have Qualifications:** - 5+ years of Python experience and 3+ years of deep-learning experience with PyTorch, Hugging Face. - Hands-on experience with Transformer-based vision-language models and object-detection pipelines. - Proficiency in working with PDF/SVG tool-chains, designing custom heads/loss functions, and fine-tuning pre-trained models on limited data. - Strong knowledge of Linux, GPU, graph neural networks, and relational transformers. - Proficient in Git, code review discipline, and writing reproducible experiments. **Nice-to-Have:** - Knowledge of colour science, multimodal retrieval, diffusion fine-tuning, or packaging/CPG industry exposure. - Experience with vector search tools, AWS/GCP ML tooling, and front-end technologies like Typescript/React. You will own a tool stack including DL frameworks like PyTorch, Hugging Face Transformers, torch-geometric, parsing/CV tools, OCR/detectors, retrieval tools like CLIP/ImageBind, and MLOps tools such as Docker, GitHub Actions, W&B or MLflow. In the first 6 months, you are expected to deliver a data pipeline for converting ECMA dielines and PDFs, a panel-encoder checkpoint, an MVP copy-placement model, and a REST inference service with a designer preview UI. You will report to the Head of AI or CTO and collaborate with a front-end engineer, a product manager, and two packaging-design SMEs.,