Key Responsibilities Model Development: Design and implement computer vision algorithms for object detection, tracking, segmentation, and localization. Framework Expertise: Utilize YOLO (v4/v5/v8) for real-time object detection tasks, leveraging its efficiency and accuracy. Image Processing: Employ OpenCV for image preprocessing, feature extraction, and enhancement to support downstream tasks. Perception Systems: Develop perception pipelines integrating camera, LiDAR, and radar data for autonomous systems. Optimization: Optimize models for performance on edge devices, ensuring real-time processing capabilities. Collaboration: Work closely with cross-functional teams to integrate computer vision solutions into products and services.zettlor.com+1karkidi.com+1arxiv.org+1arxiv.org+1 Required Skills & Qualifications Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field. Experience: 3+ years of experience in computer vision and perception system development. Technical Skills: Proficiency in Python and C++ programming languages. Hands-on experience with YOLO architectures (v4/v5/v8). Strong command of OpenCV for image processing tasks. Familiarity with deep learning frameworks such as TensorFlow and PyTorch. Experience with sensor fusion techniques and multi-sensor data integration. Tools & Platforms: Experience with simulation environments like ROS (Robot Operating System). Familiarity with GPU programming and optimization using CUDA. Knowledge of version control systems like Git. Soft Skills: Strong problem-solving abilities and analytical thinking. Excellent communication and teamwork skills. Ability to work in a fast-paced, dynamic environment.karkidi.com Desired Skills Experience with autonomous vehicle perception systems. Knowledge of advanced object detection techniques beyond YOLO. Familiarity with edge computing platforms (e.g., NVIDIA Jetson). Publications or contributions to open-source computer vision projects. Job Types: Full-time, Permanent Schedule: Day shift Experience: Computer vision: 1 year (Required) Work Location: In person

Technical Expertise : (minimum 2 year relevant experience) ● Solid understanding of Generative AI models and Natural Language Processing (NLP) techniques, including Retrieval-Augmented Generation (RAG) systems, text generation, and embedding models. ● Exposure to Agentic AI concepts, multi-agent systems, and agent development using open-source frameworks like LangGraph and LangChain. ● Hands-on experience with modality-specific encoder models (text, image, audio) for multi-modal AI applications. ● Proficient in model fine-tuning, prompt engineering, using both open-source and proprietary LLMs. ● Experience with model quantization, optimization, and conversion techniques (FP32 to INT8, ONNX, TorchScript) for efficient deployment, including edge devices. ● Deep understanding of inference pipelines, batch processing, and real-time AI deployment on both CPU and GPU. ● Strong MLOps knowledge with experience in version control, reproducible pipelines, continuous training, and model monitoring using tools like MLflow, DVC, and Kubeflow. ● Practical experience with scikit-learn, TensorFlow, and PyTorch for experimentation and production-ready AI solutions. ● Familiarity with data preprocessing, standardization, and knowledge graphs (nice to have). ● Strong analytical mindset with a passion for building robust, scalable AI solutions. ● Skilled in Python, writing clean, modular, and efficient code. ● Proficient in RESTful API development using Flask, FastAPI, etc., with integrated AI/ML inference logic. ● Experience with MySQL, MongoDB, and vector databases like FAISS, Pinecone, or Weaviate for semantic search. ● Exposure to Neo4j and graph databases for relationship-driven insights. ● Hands-on with Docker and containerization to build scalable, reproducible, and portable AI services. ● Up-to-date with the latest in GenAI, LLMs, Agentic AI, and deployment strategies. ● Strong communication and collaboration skills, able to contribute in cross-functional and fast-paced environments. Bonus Skills ● Experience with cloud deployments on AWS, GCP, or Azure, including model deployment and model inferencing. ● Working knowledge of Computer Vision and real-time analytics using OpenCV, YOLO, and similar Job Type: Full-time Pay: From ₹300,000.00 per year Schedule: Day shift Experience: AI Engineer: 1 year (Required) Work Location: In person Expected Start Date: 23/06/2025

Join MSBC as an AI ML Engineer – Build AI-Powered Solutions At MSBC, we develop cutting-edge AI solutions that drive real-world impact. As a Junior AI Engineer, you will work on Computer Vision and Natural Language Processing (NLP) projects, supporting our AI team in developing and fine-tuning models. This role is perfect for those who have worked on AI projects—whether through college, hackathons, or personal research—and are eager to expand their expertise in a collaborative environment. Key Tools and Frameworks Deep Learning Frameworks: PyTorch, TensorFlow NLP & CV Libraries: Hugging Face, OpenCV, Transformers Languages: Python (FastAPI/Flask) Version Control: Git Key Responsibilities Assist in building and improving AI models for Computer Vision and NLP applications . Work with deep learning frameworks (PyTorch, TensorFlow) to implement, train, and evaluate models. Explore pre-trained models and fine-tuning techniques to enhance AI performance (bonus if you have prior experience). Collaborate with the AI team to process datasets and optimize model efficiency. Write clean, well-documented code and contribute to AI research discussions. Stay updated with the latest AI advancements and experiment with new techniques. Required Skills and Qualifications 1 year of experience in AI/ML (college projects, hackathons, or research count). Familiarity with Computer Vision or NLP techniques and relevant libraries ( Hugging Face, OpenCV, etc. ). Experience with deep learning frameworks (PyTorch, TensorFlow) . Strong programming skills in Python . Enthusiasm for AI and a willingness to learn and experiment . Good problem-solving and analytical skills. Nice to Have but not Mandatory: Experience with fine-tuning models Experience with Frontend Development frameworks like React and Next JS. Experience in authoring and implementing academic papers. MSBC Group has been a trusted technology partner for over 20 years, delivering innovative AI solutions across various industries. As a Junior AI Engineer, you will work on real AI applications, collaborate with experienced professionals, and gain hands-on experience in AI model development. Join us and start your journey towards building the future of AI with MSBC! Show more Show less

Job Title: Lead Data Scientist – NLP & Computer Vision Location: India (Remote, with monthly travel to Indore and occasional travel to the UK) Employment Type: Permanent, Full-time Required Skills & Experience: 6+ years of hands-on experience in data science, with at least 4 years focused on NLP and computer vision. About the Role: We’re seeking an ambitious and highly capable Lead Data Scientist with deep expertise in Natural Language Processing (NLP) and Computer Vision (OpenCV) to take a leading role in our AI journey. This is a hands-on technical role with strategic scope — ideal for someone who thrives in building robust solutions, mentoring others, and wants to grow into a Head of Data Science position. You’ll be responsible for delivering high-impact AI projects across diverse data domains (text, image, and structured data), while also setting technical direction, guiding junior colleagues, and helping shape our data science capability across the organisation. Excellent communication — both written and spoken — will be critical, as you’ll work closely with technical and non-technical stakeholders in India and internationally. Key Responsibilities: Design, build, and deploy production-ready NLP and computer vision models to solve real-world problems. Lead by example with hands-on development, research, and experimentation using cutting-edge ML/DL techniques. Guide and mentor a small team of junior/mid-level data scientists and actively contribute to their growth. Collaborate with cross-functional teams (Engineering, Product, Business) across geographies. Apply advanced NLP techniques (e.g. classification, summarisation, entity extraction, semantic search) using tools like spaCy, HuggingFace Transformers, BERT, GPT, etc. Solve computer vision challenges (e.g. object detection, image classification, feature extraction) using OpenCV, PyTorch, TensorFlow, etc. Drive quality and performance tuning, experimentation frameworks, and model lifecycle practices. Contribute to defining a strategic roadmap for data science and AI within the business. Work with cloud platforms (Azure, AWS) for model training, deployment, and monitoring. Occasionally travel to Indore (monthly) and to the UK (as needed) for collaborative sessions and leadership meetings. Required Skills & Experience: 6+ years of hands-on experience in data science, with at least 4 years focused on NLP and computer vision. Strong Python skills, including use of Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. Experience deploying ML models in cloud environments (Azure, AWS, or similar). Solid grounding in machine learning fundamentals and deep learning architectures. Proven ability to solve end-to-end ML problems — from exploration to deployment and monitoring. Experience mentoring junior team members or leading technical efforts. Excellent spoken and written English communication skills – able to clearly convey complex ideas to both technical and business audiences. Collaborative mindset, with the ability to engage confidently across distributed teams and international stakeholders. Show more Show less

Responsibilities: * Develop machine learning models using TensorFlow, NumPy & OpenCV. * Implement computer vision solutions with CNNs & object detection techniques. Provident fund

Job Title AI/ML Trainer (Contractual – 4 to 5 Months) Location: Hyderabad (Onsite Preferred) Experience Required: 2 to 4 years Contract Duration 4 to 5 Months (Extendable based on performance and requirement) Job Type Contractual / Freelance Trainer About The Role We are seeking an experienced and passionate AI/ML Trainer to deliver hands-on training for a structured Artificial Intelligence & Machine Learning program. This is a contract-based opportunity ideal for professionals with strong technical expertise and a flair for teaching. Key Responsibilities Deliver in-depth classroom and lab-based training sessions on core AI/ML topics. Design, develop, and maintain training material, assignments, and project modules. Conduct doubt-clearing sessions, assessments, and live coding exercises. Guide students through capstone projects and real-world datasets. Evaluate learner performance and provide constructive feedback. Stay updated with the latest industry trends, tools, and techniques in AI/ML. Topics To Cover Python for Data Science Statistics and Linear Algebra Basics Machine Learning (Supervised, Unsupervised, Ensemble Techniques) Deep Learning (ANN, CNN, RNN, etc.) Natural Language Processing (NLP) Model Deployment (Flask, Streamlit, etc.) Hands-on with libraries: NumPy, Pandas, Scikit-learn, TensorFlow/Keras, OpenCV Tools: Jupyter, Git, Google Colab, VS Code Eligibility Criteria Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 2–4 years of relevant industry/training experience in AI/ML. Strong communication and presentation skills. Ability to mentor and engage learners of varying skill levels. Prior training or teaching experience (academic or corporate) preferred. Skills: ml,scikit-learn,tensorflow,jupyter,natural language processing,opencv,learning,teaching,python for data science,google colab,deep learning,model deployment,numpy,training,keras,linear algebra,statistics,pandas,git,vs code,contractual,artificial intelligence,machine learning Show more Show less

------------------- UNPAID INTERNSHIP ------------------- Are you passionate about industrial networking, automation systems, and software integration? Volcan Vision and Automation Pvt. Ltd. is looking for a Networking & Integration Intern to support the development of cutting-edge machine vision applications deployed across industrial environments. This internship offers a unique opportunity to work alongside a multidisciplinary team and contribute to real-world systems involving vision inspection , PLC communication , and secure software deployment . Department: Software Development Duration: 2-6 months Key Responsibilities: Implement and manage communication protocols such as Modbus TCP/IP , Ethernet/IP , and custom network interfaces. Integrate the application with PLCs , industrial cameras , and external devices for data exchange. Assist in developing and debugging the core desktop application used for machine vision inspection. Implement cybersecurity features such as token/key-based licensing , data encryption , and user authentication . Contribute to application packaging and deployment for industrial use cases. Support desktop application development by contributing to computer vision tool integration, user interface enhancements, and feature expansion. Required Skills: Currently in your 3rd/Final Year of your studies ( Graduating in 2026 or 2027 ) Strong understanding of networking fundamentals and industrial communication protocols . Proficiency in Python with experience in socket programming or networking libraries. Familiarity with desktop application frameworks such as PyQt or Tkinter . Knowledge of cybersecurity best practices for desktop software. Experience with Git and version control workflows. Preferred Qualifications: Exposure to PLCs or similar industrial hardware. Familiarity with machine vision tools like OpenCV. Understanding of licensing mechanisms , packaging tools, and deployment strategies. Experience working with REST APIs , Supabase , or secure data communication tools . What We Offer: Internship certificate and recommendation upon successful completion. Performance-based bonuses and learning stipends. Opportunity to work on live industrial automation projects. Exposure to AI , vision systems , cybersecurity , and automation standards . Potential full-time opportunity based on performance. Internship Duration 2-6 months Show more Show less

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.D. 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. Show more Show less

About Lighthouz AI Lighthouz AI is automating the back office of freight finance with freight-native AI agents. We help freight brokers, 3PLs, and factoring companies process invoices, rate confirmations, and PoDs in seconds—not hours—by replacing manual audits and brittle RPA with intelligent automation. Our platform handles real-world document chaos—scanned and handwritten paperwork, NOAs, BOLs, emails, and portal logins—executing complex workflows automatically. The result: faster payments, fewer disputes, and 10x operational throughput. We’re a Y Combinator S24 company founded by a team with deep experience across AI, supply chain, and enterprise systems (Google, Georgia Tech, Progressive, Halliburton). At Lighthouz, we’re not just streamlining freight finance—we’re rebuilding it from the ground up. About The Role We’re hiring a Senior AI Engineer with expertise in Computer Vision, document understanding, and voice AI to help build the brains behind our AI agents. You’ll work on the two core components of our AI agents – first, the core perception systems that extract structured insights from messy, real-world freight documents—handwritten, scanned, distorted, or multi-page – and second, our AI agents for email and voice communications between freight entities. You will do a lot of prompt engineering, fine-tuning LLMs, building large-scale document classification and entity extraction models, communication understanding, intent classification, and voice AI – your code will be at the heart of automating financial decision-making in freight. You’ll collaborate closely with the backend and product teams to bring AI models to life in production environments and continuously improve performance in the wild. What You’ll Do 👉🏼 Build and fine-tune AI models for document classification, OCR, entity recognition, and layout parsing\ 👉🏼 Build AI agents for email and phone communications between different freight accounting parties – payer and payee 👉🏼 Develop scalable pipelines for pre-processing, training, inference, and feedback loops\ 👉🏼 Evaluate and integrate VLMs 👉🏼 Annotate, clean, and curate diverse freight documents for robust model performance 👉🏼Build training, evaluation, and test datasets 👉🏼Identify issues identified in production data and fix them asap 👉🏼Iterate on improving existing and new AI stack \ 👉🏼 Productionize AI models as part of Lighthouz’s intelligent automation stack\ 👉🏼 Collaborate with backend engineers to integrate model outputs into document, email, and voice workflows\ 👉🏼 Continuously monitor and improve model performance in real-world conditions What We’re Looking For 👉🏼 7+ years experience in ML or AI roles, preferably focused on computer vision or document AI\ 👉🏼 Strong foundation in deep learning frameworks (e.g., PyTorch, TensorFlow)\ 👉🏼 Experience in fine-tuning VLMs and LLMs \ 👉🏼Experience in voice AI\ 👉🏼 Experience with document/image OCR, visual transformers, and multimodal models\ 👉🏼 Proficiency in Python and common ML tooling (e.g., Hugging Face, OpenCV, spaCy) \ 👉🏼 Hands-on experience training and deploying models in production\ 👉🏼 Strong problem-solving skills and a builder mindset—you move fast and iterate faster\ 👉🏼 Comfortable working with ambiguity and evolving datasets\ 👉🏼 Willingness to work long hours Nice to Have 👉🏼 Familiarity with freight, logistics, or fintech workflows\ 👉🏼 Experience with AWS, Azure, or GCP-based ML infrastructure\ 👉🏼 Exposure to RAG pipelines, foundation models, or vector search systems\ 👉🏼 Knowledge of document layout understanding (e.g., Donut, LayoutLM, PubLayNet)\ 👉🏼 Background in building secure, production-grade ML services What We Offer 💰 Competitive salary\ 🌎 Fully remote\ 🛠️ High ownership, zero bureaucracy—help shape our AI stack from day one\ 🚀 Work on impactful real-world problems that blend AI and automation at scale Show more Show less

We have been a successful company for the past 17 years, delivering impactful digital solutions. Now, we are expanding into an exciting new division focused on Artificial Intelligence, with a bold vision to transform the sports industry using AI and computer vision. We are currently looking for a talented and motivated Android App Developer Intern to join our team and contribute to the development of our next-generation sports AI applications. As an Android App Developer Intern, you will be responsible for designing, developing, and maintaining high-performance, user-friendly mobile applications using Kotlin and Jetpack Compose. You will play a crucial role in integrating computer vision libraries and algorithms into our apps, ensuring seamless and accurate analysis of sports techniques. You will also collaborate with our backend team to ensure smooth data flow and API integration. Selected Intern's Day-to-day Responsibilities Include Design, develop, and maintain Android apps using Kotlin and Jetpack Compose. Integrate computer vision libraries (OpenCV, MediaPipe, etc.) for real-time sports technique analysis. Work closely with the AI team to implement deep learning models and real-time feedback mechanisms. Build smooth, intuitive, and visually appealing UI/UX for athletes and coaches. Collaborate with the backend team for seamless API integration and data flow. Conduct thorough testing, profiling, and debugging to ensure app performance and stability. Troubleshoot and resolve application issues promptly. Contribute to internal tools and lightweight backend functionality for development needs. What You’ll Gain Work on real-world computer vision challenges in sports. Learn to build production-level Android apps that use AI for real-time insights. Collaborate with a passionate, fast-moving team of developers, designers, and AI researchers. Make a meaningful impact on athletes and the future of sports technology. About Company: Practice Buzz is an online medical tourism IT firm based in Chandigarh, India. We are pioneers in the field of online medical marketing. Practice Buzz is the only company in India that is 100% dedicated to helping healthcare organizations improve online visibility & brand awareness. We assist international healthcare organizations (hospitals, doctors, clinics, medical tourism companies, and medical practices) in increasing patient volumes by implementing innovative & cutting-edge online medical marketing strategies. A majority of our clients are companies from the US. Practice Buzz endeavors to bridge the gap between top-notch healthcare providers and their prospective patients. Show more Show less

signdesk is looking for Consultant- AI Developer to join our dynamic team and embark on a rewarding career journey Develops AI-powered applications and tools for business use cases Builds machine learning models and optimizes their deployment Works closely with clients to define AI strategy and solutions Contributes to research, documentation, and training modules

Role As a Computer Vision Engineer at Quidich, you will embark on an exciting journey in the world of sports technology and play a vital role in assisting the technology team to work on global projects. As a Computer Vision Engineer focused on Detection and Tracking, you will play a key role in designing and implementing advanced computer vision algorithms for object detection and tracking. You will work closely with our cross-functional team to enhance and optimize the existing computer vision solutions and contribute to the design of innovative products. Responsibilities ● Designing and implementing advanced computer vision algorithms for tracking and detection. ● Developing and optimizing algorithms for person re-identification in multi-camera environments. ● Collaborating with cross-functional teams to integrate computer vision solutions into existing systems. ● Conducting thorough analysis and evaluation of computer vision models, ensuring performance metrics meet or exceed project requirements. ● Working on camera calibration and synchronization for multi-camera setups. ● Staying updated on the latest advancements in computer vision and related fields, applying relevant knowledge to enhance the technology stack ● Collaborating with hardware and software teams to ensure seamless integration of computer vision solutions. Qualifications, Skills, and Competencies ● 5+ years of proven work experience in Computer Vision, Multicam Systems, NVIDIA Deepstream, and Object Detection and Tracking. ● Proven work experience in real-world projects involving surveillance systems, security, or related fields. ● Excellent knowledge of deep learning techniques applied to computer vision. ● Proven work experience with edge computing and deploying computer vision models on embedded systems. ● Master’s or PhD in Computer Science, Electrical Engineering, or a related field. ● Experience in developing and implementing computer vision algorithms, with a focus on object detection, tracking, and person re-identification. ● Strong programming skills in languages such as Python, C++, or similar. ● Familiarity with popular computer vision libraries and frameworks such as OpenCV, TensorFlow, PyTorch, etc. ● Excellent problem-solving skills and the ability to work independently as well as a part of a collaborative team. ● Strong communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Reporting To: Head of Product Joining Date: Immediate to 30 Days Interested candidates, please send your CV to careers@quidich.com Show more Show less

Work Experience :3-4 Roles & Responsibilities: 1. Design and write high-quality code. 2. Responsible for robust and efficient implementation. 3. Stay abreast of the latest advancements in AI, machine learning, and related technologies. 4. Test, debug, analyze and fix application problems/issues. 5. Participate in code reviews in accordance with program specifications and coding standards, practices and conventions, new designs, changes and enhancements. 6. Interact with stakeholders (internal and external) to support product releases and/or resolve program problems. 7. Research and remain informed of new technology and development tools. 8. Experiment with new technologies and approaches to enhance project outcomes. 9. Contribute to internal knowledge sharing and best practices development. Skills : â—� Should have good command in the Python language. â—� Candidates must have knowledge of one of Python frameworks such as Django/Flask and microservices. â—� Design and implement RESTful APIs that are robust, efficient, and scalable using Django and Django Rest Framework. â—� Proficiency in object-oriented design, data structures, algorithm design and problem solving. â—� Design, build, and deploy AI models with a focus on advanced technologies such as ChatGPT, Llama, Claude, DALL-E, Stable Diffusion. â—� Well-versed with Prompt Engineering. â—� Should have knowledge of Agent Development using any of the tech, e.g.,Langchain, AutoGen, CrewAI, etc. â—� Knowledge of Computer Vision, OCR, etc. â—� Good to have exposure to computer vision technologies like Amazon Rekognition, Azure Computer Vision, Google Cloud Vision, and OpenCV. â—� Good to have knowledge of ML Tech and Frameworks like TensorFlow, Keras,PyTorch, Scikit-learn, etc â—� Worked on NLP tech/framework such as BERT, NLTK, Spacy, etc â—� Create intelligent chatbots using AWS Lex, DialogFlow, RASA, and IBM Watson,etc â—� Stay updated with the latest developments in AI, machine learning, and related technologies. â—� Basic Understanding of front-end technologies such as HTML, CSS, JavaScript and frameworks like React or Angular. Experience : 3-4 years Skills : Python, Django, HTML, AI/ML, CSS, Flask, RESTful APIs, JavaScript, ML Frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, Numpy Pandas etc Experience : 3-4 years

Hi, We are hiring Python Developer with 4+ years of experience. This is a full-time, Work from Office job in Hyderabad/Pune location. Please send your resume to recruiter1@lightuptechnologies.com Mandatory requirements for resume submission: All employments start (Date of Joining) and end (Last Working Date) dates with the month and year. All educational details, including start and end dates with month and year. A mobile number, email ID, and LinkedIn profile URL should be provided for all profiles. Candidate PAN card copy, Aadhar card copy, Passport copy, and resume. Candidates missing any of the above documents will not be considered. Current CTC Expected CTC Current Location Notice Period: 10 Days (Immediate joiners only) CTC: 4 LPA -8 LPA (Based on your Interview) Mandatory Skills: Microservices, Flask and FastAPI Roles and Responsibilities: Having experience in python development, creating APIs, problem solving, debugging and working on API automation scripts using python. Must have experience in Microservices Must have experience in Flask and FastAPI. Able to build an API using Flask and Fast API. Should have hands-on PostgresQL and SQLAlchemy. Should be able to create and consume Restful web Services Having a good experience in Pandas, Numpy, data structures, MongoDB and openCV. Exposure to writing python code with multi-threading and multiprocessing. Worked on agile methodology. Worked on data visualization libraries like matplotlib, openCV and reportLAb. Writing efficient, reusable, testable, and scalable code. Good hands on scripting experience Multi-process and multi-thread architecture. Performance tuning and automation of applications. Testing and debugging software applications with Python test framework tools Coming up with digital tools for online traffic monitoring. Ability to integrate databases and various data sources into a unified system. Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. 4+ years of professional experience in Python Developer.

Responsibilities: Design and develop AI models and algorithms. Build and train ML systems. Process large datasets. Deploy models to production. Collaborate with teams to integrate AI solutions. Ensure model accuracy. Stay updated with AI trends. Health insurance Leave encashment Maternity leaves Paternity leaves Course reimbursements Capability building program Prevention of sexual harrassment policy

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type : Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry PI, Blender, Computer Vision, opencv, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type : Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry PI, Blender, Computer Vision, opencv, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type : Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry PI, Blender, Computer Vision, opencv, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type : Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry PI, Blender, Computer Vision, opencv, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type : Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry PI, Blender, Computer Vision, opencv, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type : Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry PI, Blender, Computer Vision, opencv, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type : Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry PI, Blender, Computer Vision, opencv, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type : Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry PI, Blender, Computer Vision, opencv, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type : Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry PI, Blender, Computer Vision, opencv, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type : Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry PI, Blender, Computer Vision, opencv, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less