637 Opencv Jobs - Page 3

Company: Aiventory (A unit of Jazzoa Services OPC Private Limited) Location: Remote Stipend: ₹3,000 – ₹5,000/month Duration: 3 to 6 months Start Date: Immediate About Us: Aiventory is an AI-powered inventory management platform built specifically for India's Kirana stores and small retail businesses. We're on a mission to bring cutting-edge technology to the underserved sectors of India’s supply chain. We are currently seeking a passionate AI/ML Intern to join our product team and work closely on real-world machine learning applications like demand forecasting, anomaly detection, and computer vision for inventory intelligence. What You'll Work On: Building and training ML models (LSTM, ARIMA, Isolation Forest, etc.) Assisting in real-time prediction engine development for stock trends Image recognition using OpenCV or TensorFlow (barcode/label detection) Data preprocessing and feature engineering for retail datasets Supporting our AI roadmap across backend services You Should Know (at least some of): Python, Pandas, NumPy, Scikit-learn TensorFlow / PyTorch / OpenCV Time Series Forecasting models (ARIMA, LSTM) Basics of SQL or MongoDB Git and version control practices Bonus (Not Mandatory): Experience with retail or inventory datasets Worked on any personal ML projects or GitHub repos Familiarity with cloud (AWS, GCP) or Docker What You’ll Gain: Hands-on experience building real-world AI applications Certificate & Letter of Recommendation Potential for PPO (Pre-Placement Offer) based on performance Opportunity to work directly with the founding team and AI product manager

Job Title : Computer Vision Engineer. Location : Gachibowli. Experience : 1-3 years. Employment Type : Full-time. About The Role We are looking for a passionate and skilled Computer Vision Engineer to join our cutting-edge simulation and defense technology team. Role This role is instrumental in building next-generation simulation environments that incorporate AI, computer vision, and immersive sensory realism for military training and war-gaming Strategic Objectives : Develop modular AI/ML-enhanced simulation blocks to support complex virtual training scenarios. Build real-time Computer Vision/Image Processing capabilities for enhanced situational awareness. Improve sensory realism including vision, sound, and motion to deliver truly immersive experiences. Enable adaptive learning and behavioral modeling for intelligent virtual entities. Contribute to the realization of a Military War Room / Gaming Command Centre with dynamic, data-driven Responsibilities : Design and implement AI/ML models tailored for simulation use-cases. Integrate image processing and computer vision techniques into real-time simulation pipelines. Collaborate with domain experts to translate training and tactical requirements into virtual environments. Optimize system performance for real-time execution and immersive responsiveness. Prototype and deploy modules involving visual perception, motion prediction, and behavioral : Strong mathematical foundation in Linear Algebra, Calculus, Probability, and Optimization. Proficiency in Python and/or C/C++ for simulation and ML development. Demonstrated understanding of AI/ML algorithms and computer vision : Experience with OpenCV, YOLO, SLAM, depth estimation techniques. Familiarity with NVIDIA NVAPI, CUDA programming, or real-time graphics APIs. Background in developing simulations or real-time systems in gaming, defense, or robotics We Offer : Opportunity to work on impactful, mission-critical defense simulation projects. A collaborative team of engineers, data scientists, and defense experts. Continuous learning and access to the latest technologies in AI, ML, and simulation. (ref:hirist.tech)

Roles and Responsibilities Design, develop, test, deploy, and maintain large-scale data pipelines using DataBricks. Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs. Develop high-quality code in Python using popular libraries such as Pandas, NumPy, Matplotlib, OpenCV, etc. Participate in code reviews to ensure adherence to coding standards and best practices. Troubleshoot issues related to data processing, machine learning models, and deep learning algorithms. Desired Candidate Profile B.Tech/B.E. degree in Computers or Information Technology from a reputed institution. Strong proficiency in programming languages like Python; hands-on experience with ML frameworks like scikit-learn, TensorFlow, PyTorch. 3-5 years of experience in AI/ML engineering or a related field (Data Science).

About Us: We are a Deep Tech AI company at the forefront of innovation, recognized by DPIIT, ISI-Calcutta, and NASSCOM . Our mission is to build cutting-edge solutions powered by Large Language Models (LLMs), Computer Vision, and Machine Learning . With flagship products in Legal AI, Biometric Fraud Prevention, and Geospatial Intelligence, we're scaling rapidly and looking for a visionary CTO to lead our technology roadmap. Role Overview: As the CTO, you will be the driving force behind our technology strategy, product architecture, and engineering execution. You will lead a highly capable team of AI researchers, engineers, and product developers to deliver scalable, secure, and breakthrough deep tech solutions. Key Responsibilities: Technology Strategy & Vision: Define and evolve the company’s technical vision in alignment with business goals. Evaluate and adopt emerging AI/ML trends (especially in LLMs and Computer Vision). Product & Engineering Leadership: Architect and oversee the development of scalable AI systems. Lead the design, development, and deployment of core products in LLMs and Computer Vision. Ensure best practices in AI model development, software engineering, DevOps, and MLOps. Team Building & Management: Mentor and manage engineering, ML, and research teams. Recruit top technical talent and foster a culture of innovation, ownership, and performance. Collaboration & Execution: Work closely with the CEO, product heads, and business leads to translate ideas into reality. Oversee technical partnerships, vendor relationships, and IP development. Required Qualifications: 5–10 years of hands-on experience in AI/ML with a strong foundation in LLMs, NLP, Deep Learning , or Computer Vision . Proven experience building and scaling production-grade AI systems . Strong software architecture, cloud deployment (AWS/GCP/Azure), and data infrastructure skills. Prior experience in a leadership/management role in a startup or product-driven AI company. Expertise with frameworks like TensorFlow, PyTorch, Hugging Face , OpenCV, etc. Strong understanding of data privacy, model explainability, and ethical AI . Preferred Attributes: PhD or Master’s in Computer Science, AI, or a related field. Experience with MLOps tools like MLFlow, Kubeflow, or similar. Published research or open-source contributions in AI/ML/LLM domains. Track record of building and managing tech teams in fast-paced environments. What We Offer: A seat at the leadership table in a fast-growing, impact-driven deep tech company. Generous equity stake and competitive salary. Freedom to experiment, build, and innovate at scale. A high-caliber, mission-driven team working on real-world challenges.

GSK Technologies is a leading technology company specializing in the development and integration of advanced vision systems. We provide innovative solutions to various industries, including manufacturing, automotive, healthcare, and robotics. Our cutting-edge technologies enable our clients to optimize processes, improve efficiency, and enhance product quality. Job Summary: We are seeking a talented and motivated Application Engineer to join our dynamic team. As an Application Engineer specializing in vision systems, you will play a crucial role in the design, development, and implementation of vision-based solutions for our clients. You will work closely with cross-functional teams, including sales, engineering, and product management, to understand customer requirements and deliver tailored solutions that address their unique needs. Responsibilities: Collaborate with sales and product management teams to identify customer requirements and translate them into technical specifications for vision system applications. Design, develop, and implement vision-based solutions using industry-leading technologies and tools. Conduct feasibility studies and proof-of-concept projects to demonstrate the capabilities and benefits of our vision systems. Provide technical support to customers, including troubleshooting, system integration, and training. Collaborate with the engineering team to optimize and enhance existing vision system products. Stay up-to-date with the latest advancements in vision system technologies, industry trends, and best practices. Participate in customer meetings, conferences, and trade shows to showcase our vision system capabilities. Requirements: Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field. Solid understanding of computer vision algorithms, image processing techniques, and machine learning. Proficiency in programming languages such as C++, Python, or LabVIEW. Experience with vision system development tools and frameworks (e.g., OpenCV, TensorFlow, PyTorch). Familiarity with hardware components used in vision systems, including cameras, lenses, and lighting. Strong problem-solving and analytical skills with a keen attention to detail. Excellent communication and presentation skills, with the ability to effectively convey technical concepts to both technical and non-technical audiences. Prior experience in a customer-facing role, providing technical support or solutions, is preferred. Knowledge of industry-specific applications of vision systems (e.g., robotics, quality control, inspection) is a plus. Benefits: Competitive salary and comprehensive benefits package. Opportunity to work on cutting-edge technologies and innovative projects. Collaborative and inclusive work environment. Professional development and training opportunities. Room for growth and advancement within the company. Join our team and contribute to the development of groundbreaking vision systems that shape the future of various industries. Apply now and be part of our exciting journey! Job Types: Full-time, Permanent, Internship Pay: ₹12,460.30 - ₹35,037.77 per month Benefits: Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Puducherry, Puducherry: Reliably commute or planning to relocate before starting work (Required) Education: Diploma (Required) Experience: Application development: 1 year (Preferred) total work: 1 year (Preferred) Java: 1 year (Preferred) Willingness to travel: 50% (Required) Work Location: In person

Job Description: We are looking for a motivated Computer Vision Training Intern to assist in training and validating deep learning models for real-world vision tasks such as object detection, classification, and OCR. You will work with existing scripts, datasets, and tools under the guidance of our AI development team. This role is ideal for freshers from a science background (Physics, Computer Science, Mathematics, Electronics, etc.) who are eager to apply their analytical and programming skills to practical AI problems. Key Responsibilities: · Run existing training pipelines to fine-tune or retrain computer vision models · Evaluate trained models using existing datasets and tools · Modify dataset annotations and formats when needed · Analyze model performance and prepare summary reports · Assist in data preprocessing, augmentation, and cleanup · Maintain proper logs, results, and experiment tracking · Participate in code reviews and regular status updates Required Skills: · Good understanding of Python · Basic knowledge of machine learning and deep learning · Familiarity with OpenCV, PyTorch, or TensorFlow is a plus · Exposure to training or using pre-trained models for image tasks Eligibility Criteria: · Recent graduate or final-year student from Science/Engineering background · Strong interest in computer vision and AI model development · Self-motivated with a willingness to learn new tools and techniques Job Types: Full-time, Permanent Pay: ₹5,000.00 - ₹10,000.00 per month Schedule: Day shift Application Question(s): • Recent graduate or final-year student from Science/Engineering background Strong interest in computer vision and AI model development Self-motivated with a willingness to learn new tools and techniques Education: Bachelor's (Preferred) Work Location: In person

What You’ll Do ● Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills ● Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. ● Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. ● Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. ● Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput ● Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it ● Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need ● 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) ● Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. ● 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines ● Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. ● Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. ● Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. ● Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. ● Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). ● Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. ● A customer-centric approach — you think about how your work affects end users and product experience, not just model performance ● A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed ● The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket

Key Responsibilities: Design, develop, and maintain robust backend systems using Python and FastAPI Build and integrate RESTful APIs with a focus on scalability, security, and performance Work with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB) to optimize data storage and retrieval Implement MQTT protocol for real-time data communication, particularly in IoT environments Deploy and manage machine learning models using Python ML libraries (TensorFlow, PyTorch, scikit-learn) Utilize OpenCV for image processing and computer vision tasks Automate backend workflows using shell scripting and manage Linux-based systems Collaborate with cross-functional teams and participate in code reviews, CI/CD pipelines, and GIT-based version control Troubleshoot production issues and optimize backend performance Required Experience: 8–10 years of backend development experience with a strong command of Python Proven track record of building scalable backend systems and APIs Experience with ML model deployment and OpenCV integration Hands-on experience with MQTT and real-time communication protocols Strong understanding of GIT workflows and collaborative development practices Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field Job Types: Full-time, Permanent Pay: ₹2,500,000.00 - ₹3,500,000.00 per year Benefits: Health insurance Location Type: In-person Schedule: Fixed shift Education: Bachelor's (Required) Experience: Python (Advanced), FastAPI: 8 years (Required) SQL( eg PostgreSQL, MySQL, NoSQL databases (e.g., MongoDB): 8 years (Required) MQTT Protocol, Shell Scripting: 8 years (Required) Linux System Administration: 8 years (Required) Version Control (GIT), OpenCV: 8 years (Required) ML Model Deployment(TensorFlow, PyTorch, scikit-learn): 8 years (Required) Code Optimization & Modular Design: 8 years (Required) Debugging & Troubleshooting: 8 years (Required) CI/CD Understanding: 8 years (Required) Containerization, Cloud Exposure: 8 years (Required) Team Collaboration: 8 years (Required) Location: Pune, Maharashtra (Preferred) Work Location: In person Speak with the employer +91 9872925120

GSK Technologies is a leading technology company specializing in the development and integration of advanced vision systems. We provide innovative solutions to various industries, including manufacturing, automotive, healthcare, and robotics. Our cutting-edge technologies enable our clients to optimize processes, improve efficiency, and enhance product quality. Job Summary: We are seeking a talented and motivated Application Engineer to join our dynamic team. As an Application Engineer specializing in vision systems, you will play a crucial role in the design, development, and implementation of vision-based solutions for our clients. You will work closely with cross-functional teams, including sales, engineering, and product management, to understand customer requirements and deliver tailored solutions that address their unique needs. Responsibilities: Collaborate with sales and product management teams to identify customer requirements and translate them into technical specifications for vision system applications. Design, develop, and implement vision-based solutions using industry-leading technologies and tools. Conduct feasibility studies and proof-of-concept projects to demonstrate the capabilities and benefits of our vision systems. Provide technical support to customers, including troubleshooting, system integration, and training. Collaborate with the engineering team to optimize and enhance existing vision system products. Stay up-to-date with the latest advancements in vision system technologies, industry trends, and best practices. Participate in customer meetings, conferences, and trade shows to showcase our vision system capabilities. Requirements: Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field. Solid understanding of computer vision algorithms, image processing techniques, and machine learning. Proficiency in programming languages such as C++, Python, or LabVIEW. Experience with vision system development tools and frameworks (e.g., OpenCV, TensorFlow, PyTorch). Familiarity with hardware components used in vision systems, including cameras, lenses, and lighting. Strong problem-solving and analytical skills with a keen attention to detail. Excellent communication and presentation skills, with the ability to effectively convey technical concepts to both technical and non-technical audiences. Prior experience in a customer-facing role, providing technical support or solutions, is preferred. Knowledge of industry-specific applications of vision systems (e.g., robotics, quality control, inspection) is a plus. Benefits: Competitive salary and comprehensive benefits package. Opportunity to work on cutting-edge technologies and innovative projects. Collaborative and inclusive work environment. Professional development and training opportunities. Room for growth and advancement within the company. Join our team and contribute to the development of groundbreaking vision systems that shape the future of various industries. Apply now and be part of our exciting journey! Job Types: Full-time, Permanent, Internship Pay: ₹12,460.30 - ₹35,037.77 per month Benefits: Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Puducherry, Puducherry: Reliably commute or planning to relocate before starting work (Required) Education: Diploma (Required) Experience: Application development: 1 year (Preferred) total work: 1 year (Preferred) Java: 1 year (Preferred) Willingness to travel: 50% (Required) Work Location: In person

This C/C++ Developer role is responsible and accountable for the quality and coding of a variety of software applications and image processing tools. This includes both hands-on development, trouble shooting, and testing of systems among other technologies. This C/C++ Developer role requires a strong foundation in software development, data structures and image processing as well knowledge in neural network engines for pattern recognition. This role requires to be able to work independently, work in a team environment, and interface with other team resources like people from business or operation. JORDAN BASED. PLEASE SEND YOUR CV TO applicants@keytechsecurity.com Qualifications Required Knowledge/Skills/Abilities: • 7+ years software development experience with C,C++ • Recommended 2+ years software development experience with python is an add-on advantage • Create custom tools for data annotation (C++/Python) • Build C++ Open Source Libraries with cmake • Implement and train Dlib Hog Detector • Implement Fully Connected Neural Network model with Tensorflow C++ • Ability to test python open source deep learning classifiers such as MNIST, SVHN Classifier • Knowledge of Linear Algebra such as matrix and vectors operations • Minimum 4+ Yeas of image processing, machine learning experience using open source/third party neural network engines for OCR • Need to have experience with opensource stacks such as tesseract, Image processing experience with OpenCV, OpenALPR, DLib, TensorFlow. • Experience in Multi-Threading development. • Working knowledge of Object Oriented design, SOLID and design patterns • Experience with Agile development methodology is an add-on advantage • Individual must have experience working the entire product life-cycle and the ability to quickly grasp and distill highly complex user design issues into clean, understandable solutions. • Must be a creative thinker and have a keen interest in ensuring the best possible online experience for clients; possess a fine attention to detail and a disciplined approach to developing applications. • Strong communication skills, oral and written; able to engender trust and respect of team members. • Ability to communicate with and understand the needs of non-technical internal clients • Self-confident, possesses a strong work ethic, and is continually focused on improvement, innovation, and bottom-line results • Highly-motivated self-starter capable of juggling a number of priorities and delivering results on time in a high pressure, dynamic environment • Passionate commitment to the customer and to product quality. Champions the product and the customer's needs and implements a model of continuous improvement in both company goals and project-related tasks

We are looking for passionate AI Interns who have a strong foundation in Python and have explored the basics of Artificial Intelligence. This internship is an excellent opportunity for students who want hands-on experience in image classification and building AI agents. Selected Intern's Day-to-day Responsibilities Include ✅ Developing and fine-tuning image classification models ✅ Working with deep learning frameworks like PyTorch/TensorFlow ✅ Exploring and implementing AI agents for automation ✅ Collaborating with a team on real-world AI projects What We’re Looking For ✔ 3rd-year engineering students (Computer Science, Electronics, AI/ML, or related fields) ✔ Proficiency in Python (experience with NumPy, OpenCV, or TensorFlow is a plus) ✔ Basic knowledge of machine learning and neural networks ✔ A willingness to learn and explore new AI technologies ✔ Strong problem-solving and analytical skills Benefits Of The Internship 🚀 Gain real-world AI experience 📜 Certificate upon completion 🤝 Work with industry professionals 💡 Opportunity to contribute to exciting AI projects About Company: Ethical Den is a digital marketing, and software development company that flourished in June 2021 with a promise to create and educate on digital infrastructure and cyber hygiene across the world. Ethical Den's services include security audit, digital marketing, website development, information, data-driven services, application development, and training and certifications on emerging technologies like ethical hacking, artificial intelligence, digital marketing, etc.

Job Title: Sr. Full Stack Engineer (React / Node.js / Nest.js / AWS / Fabric.js) Location: Remote (CET time zone overlap required) Notice Period: Immediate Type: Full-Time, Long-Term iSource Services is hiring for one of their USA based client for the position of Sr. Full Stack Engineer (React / Node.js / Nest.js / AWS / Fabric.js). About the Role - We are seeking an experienced Senior Full Stack Engineer for a long-term engagement on a functioning SaaS product in the manufacturing domain. The ideal candidate will have a strong foundation in both frontend and backend development and be comfortable working independently within a remote setup. This position provides an exciting opportunity to contribute to real-world AI and computer vision applications while working with a funded product that has already boarded a solid customer base. Project Overview A functional SaaS product operating in the manufacturing industry The platform has onboarded customers and secured initial funding Involvement in computer vision tasks integrated into real-world use cases Opportunity to work on a full-stack architecture and gain exposure to AI challenges Required Skills & Qualifications: Strong expertise in React.js (minimum 3 years in production-level projects) Advanced knowledge of Node.js and Nest.js (back-end frameworks) Practical experience with AWS (such as EC2, S3, Lambda, etc.) Relevant hands-on experience using Fabric.js for canvas-based UI Exposure to Python for computer vision (e.g., OpenCV, image processing) Strong version control practices using GitHub (GitHub profile required) Communication: Good command of English, both written and verbal Ability to communicate clearly in a remote environment Skills : - Full stack engineer,React.js,Node.js, nest.js,AWS, saas product ,AI application, computer vision, Full Stack Engineer, React.js, Node.js, Nest.js, AWS (EC2, S3, Lambda, etc.), Fabric.js (canvas-based UI), Python, GitHub, Frontend and backend development, SaaS product experience, AI application, computer vision.

Role & responsibilities Design, build, deploy and optimize computer vision algorithms/models for tasks such as image recognition, object detection, segmentation, and pattern recognition to solve real world problems Implement and test machine learning and deep learning models for visual data analysis Collaborate with data scientists, software engineers, and domain experts to integrate computer vision solutions into products and applications Collect, preprocess, and annotate datasets for training and validating models Evaluate and improve the performance, scalability, and reliability of deployed vision systems Collaborate with cross-functional teams Stay updated with the latest research and advancements in computer vision and AI, and experiment with new techniques Document algorithms, models, and workflows, and contribute to technical reports Preferred candidate profile Bachelors or Master’s degree in Computer Science, Electrical Engineering, or a related field 2-3 years of experience in computer vision, machine learning, or a related area Proficiency in Python and experience with libraries such as OpenCV, TensorFlow, or PyTorch Able to write clean, maintainable and scalable code which leads to robust, adaptable and maintainable code Solid understanding of image processing techniques and computer vision algorithms Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) Familiarity with version control systems (e.g., Git) Strong analytical and problem-solving skills Good communication and documentation abilities

BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you're not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise.. Your Opportunit. yJoin our network as a Computer Vision Engineer and help startups build AI systems that understand, analyze, and act on visual data. From object detection and facial recognition to medical imaging and video analytics, you'll work on real-world use cases that require state-of-the-art computer vision solutions. . Role Overvi. ewAs a Computer Vision Engineer, you wil. l:Design, train, and deploy computer vision models for specific business applicatio. nsWork with image, video, or 3D data to extract insights and automate workflo. wsCollaborate with teams to integrate CV models into scalable produc. ts. What You’ll. DoBuild and fine-tune models for classification, detection, segmentation, tracking, or. OCRUse libraries like OpenCV, PyTorch, TensorFlow, Detectron2, or Y. OLOPreprocess and augment datasets to improve model robustn. essDeploy models using APIs, edge devices, or cloud-based inference to. olsMonitor performance and continuously optimize for accuracy and sp. eed. Technical Requirem. ents3+ years of experience in computer vision or deep lear. ningProficient in Python and frameworks like PyTorch, TensorFlow, or K. erasExperience with OpenCV, scikit-image, and image/video processing pipel. inesFamiliarity with model deployment using ONNX, TensorRT, or cloud serv. icesBonus: experience with real-time CV, synthetic data, or 3D vi. sion. What We’re Lookin. g ForA hands-on developer who can take vision-based problems from idea to produ. ctionA freelancer who enjoys working with data-rich products and diverse use. casesSomeone who can collaborate with both technical and product teams to deliver real i. mpact. Why J. oin UsWork on challenging computer vision projects across indu. striesFully remote and flexible freelance opportu. nitiesGet matched with future roles in CV, AI, and edge depl. oymentJoin a growing network solving real-world problems with intelligent vision s. ystems. Ready to bring vision to life? Apply now to become a Computer Vision Engineer with. BeGig.. Show more Show less

About Us:. We are an innovative company revolutionising retail checkout experiences by replacing traditional barcodes with cutting-edge Computer Vision technology. Our platform enables seamless, faster, and smarter checkout processes, enhancing the shopping experience for both retailers and consumers. We're growing rapidly and are looking for an experienced Android/Cross-Platform App Developer to join our team and help us build the future of retail technology.. Key Responsibilities:. Lead the research, design, and development of advanced computer vision models for tasks like object detection, tracking, segmentation, OCR, scene understanding, and 3D vision.. Translate business needs into scalable scientific solutions using state-of-the-art deep learning and classical computer vision techniques.. Design and implement experiments to evaluate performance, robustness, and accuracy of CV models in real-world production scenarios.. Collaborate with cross-functional teams including software engineering, product, and data teams to integrate vision models into applications. Drive innovation through internal IP generation (patents, publications) and contribute to the long-term AI/ML roadmap.. Provide scientific and technical leadership, mentoring junior scientists and reviewing designs and architectures.. Stay up to date with latest developments in AI, deep learning, and computer vision through academic and industrial research.e with industry best practices and emerging technologies to drive continuous improvement.. Qualifications:. S. 5+ years of hands-on experience in building and deploying production-grade computer vision models.. Strong theoretical background and applied experience in deep learning frameworks (e.g., PyTorch) and model architectures (e.g., CNNs, Vision Transformers, Diffusion Models).. Experience in working with large-scale datasets, training pipelines, and performance evaluation metrics.. Proficiency in Python and scientific computing libraries (e.g., NumPy, OpenCV, scikit-learn).. Experience with model optimization for edge deployment (ONNX, TensorRT, pruning/quantization) is a strong plus.. Strong written and verbal communication skills, with a track record of mentoring and collaboration.. Preferred Qualifications:. Experience with computer vision in real-time systems (e.g., AR/VR, robotics, automotive, surveillance).. Published research papers in top-tier conferences (CVPR, ICCV, NeurIPS, etc.).. Exposure to MLOps or ML model lifecycle in production environments.. Familiarity with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes) and basic bash scripting.. Show more Show less

Job Title: Data Scientist – OpenCV. Experience: 2–3 Years. Location: Bangalore. Notice Period: Immediate Joiners Only. Job Overview. We are looking for a passionate and driven Data Scientist with a strong foundation in computer vision, image processing, and OpenCV. This role is ideal for professionals with 2–3 years of experience who are excited about working on real-world visual data problems and eager to contribute to impactful projects in a collaborative environment.. Key Responsibilities. Develop and implement computer vision solutions using OpenCV and Python.. Work on tasks including object detection, recognition, tracking, and image/video enhancement.. Clean, preprocess, and analyze large image and video datasets to extract actionable insights.. Collaborate with senior data scientists and engineers to deploy models into production pipelines.. Contribute to research and proof-of-concept projects in the field of computer vision and machine learning.. Prepare clear documentation for models, experiments, and technical processes.. Required Skills. Proficient in OpenCV and image/video processing techniques.. Strong coding skills in Python, with familiarity in libraries such as NumPy, Pandas, Matplotlib.. Solid understanding of basic machine learning and deep learning concepts.. Hands-on experience with Jupyter Notebooks; exposure to TensorFlow or PyTorch is a plus.. Excellent analytical, problem-solving, and debugging skills.. Effective communication and collaboration abilities.. Preferred Qualifications. Bachelor’s degree in computer science, Data Science, Electrical Engineering, or a related field.. Practical exposure through internships or academic projects in computer vision or image analysis.. Familiarity with cloud platforms (AWS, GCP, Azure) is an added advantage.. What We Offer. A dynamic and innovation-driven work culture.. Guidance and mentorship from experienced data science professionals.. The chance to work on impactful, cutting-edge projects in computer vision.. Competitive compensation and employee benefits.. Show more Show less

Minimum qualifications:. Bachelor’s degree or equivalent practical experience.. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.. 2 years of experience with data structures or algorithms.. 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).. Preferred qualifications:. Master's degree or PhD in Computer Science or related technical fields.. Experience developing accessible technologies.. About The Job. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Write product or system development code.. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.. Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

We aspire to be world-leader in innovative telecom and security solutions by offering cutting-edge, high-performance telecom and security solutions to business customers. Our Mission is simple. To prove that Indian engineers can design, develop, and manufacture world-class technology products for customers across the world, right from India. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! Why work at Matrix Matrix fully integrates software and hardware across its products. Engineers here collaborate more effectively to create solutions that solve real problems and make an impact. We are responsible for every nut, bolt, and line of code in our products! As an engineer, your involvement will be critical in the entire lifecycle of a product - right from ideation-development-production-deployment. Get to feel the sense of accomplishment that comes with creating something that solves a real and pressing problem and is used by scores of customers. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! Role SME- IVA Function Software Development - IVA / Computer Vision Work Location Vadodara, Gujarat Who are you You are a dynamic and solution driven Software Engineer specializing in Intelligent Video Analytics, with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products You will remain rooted as an engineer, a designer, and a technologist while leading a team.You take complete ownership of timely product delivery with impeccable software quality. You have the ability to navigate the teams through fast changing market needs. You possess strong people leadership skills in mentoring the young engineers Experience 4+ Years Qualification B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE)or related field Technical Skills Required : Hands on with C++, OOPS, Computer Vision, OpenCV, TensorFlow, Web Orientation, Web Development, OpenCV, Image Processing. Hands-on experience of Deep Learning/Computer Vision projects. Working exposure with Neural networks, CNN i.e. Convolutional Neural Network (Design, Training, Inference). Experience building and optimizing libraries for fast computer vision Experience curating data, creating and optimizing models, and running experiments Expert knowledge of the principles, algorithms, and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc. Experience with one or more deep learning frameworks such as Tensorflow, PyTorch or Keras Experience porting and optimizing models and algorithms for different hardware platforms Strong programming skills using Python and C++ Superhuman thirst for learning including scouting for ideas and keeping up-to-date with advancements in the field Good to have skills : Any exposure to projects like Object Detection/Motion Detection/Face Recognition is good to have. Experience working with multiple video streams for simultaneous integration into machine learning algorithms Experience optimizing deep learning models for embedded form factors What your day might look like (Role) The SME - Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. This team partners with our hardware, software, and platforms teams to help bring our products and solutions to life. An ideal candidate for this role will lead in the creation of systems, algorithms, and optimizations for all things computer vision This includes leading and mentoring a team of engineers who help with different aspects of the task. Collaborate with the team to understand project requirements and objectives. Design and implement algorithms using C/C++, OpenCV, and TensorFlow. Integrate video analytics solutions with existing systems or platforms. Participate in design reviews and brainstorming sessions with cross-functional teams. Execute AI algorithms using various platform specific frameworks like TensorRT, TensorFlow Lite etc. Formulate program specifications and basic prototypes. Efficiently Develop PoC on Algorithms Performance Centric implementation practices. Implement low cost algorithm modules as per need. Troubleshoot issues and provide technical support during integration and deployment phases. Research new technologies and methodologies to enhance video analytics capabilities. Document your work, including writing code documentation or preparing technical reports. What do we offer Opportunity to work for an Indian Tech Company creating incredible products for the world, right from India Be part of a challenging, encouraging, and rewarding environment to do the best work of your life Competitive salary and other benefits Generous leave schedule of 21 days in addition to 9 public holidays, including holiday adjustments to convert weekends into long weekends 5-day workweek with 8 flexi-days months, allowing you to take care of responsibilities at home and work Company-paid Medical Insurance for the whole family (Employee+Spouse+Kids+Parents). Company paid Accident Insurance for the Employee On-premise meals, subsidized by the company If you are an Innovative Tech-savvy individual. Look no further. Click on Apply and we will reach out to you soon!

Description About Amazon.com: Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world. Overview of the role The Business research Analyst will be responsible for data and Machine learning part of continuous improvement projects across compatibility and basket building space. This will require collaboration with local and global teams, which have process and technical expertise. Therefore, RA should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. In compatibility program, RA perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. RA also continuously improve the ML solution for higher solution accuracy, efficiency and scalability. RA should writes clear and detailed functional specifications based on business requirements as well as writes and reviews business cases. Key job responsibilities Scoping, driving and delivering complex projects across multiple teams. Performs root cause analysis by understand the data need, get data / pull the data and analyze it to form the hypothesis and validate it using data. Conducting a thorough analysis of large datasets to identify patterns, trends, and insights that can inform the development of NLP applications. Developing and implementing machine learning models and deep learning architectures to improve NLP systems. Designing and implementing core NLP tasks such as named entity recognition, classification and part-of-speech tagging. Dive deep to drive product pilots, build and analyze large data sets, and construct problem hypotheses that help steer the product feature roadmap (e.g. with use of Python), tools for database (e.g. SQL, spark) and ML platform (tensorflow, pytorch) Conducting regular code reviews and implementing quality assurance processes to maintain high standards of code quality and performance optimization. Providing technical guidance and mentorship to junior team members and collaborating with external partners to integrate cutting-edge technologies. Find the scalable solution for business problem by executing pilots and build Deterministic and ML model (plug and play on readymade ML models and python skills). Performs supporting research, conduct analysis of the bigger part of the projects and effectively interpret reports to identify opportunities, optimize processes, and implement changes within their part of project. Coordinates design effort between internal team and external team to develop optimal solutions for their part of project for Amazon’s network. Ability to convince and interact with stakeholders at all level either to gather data and information or to execute and implement according to the plan. About The Team Amazon.com operates in a virtual, global eCommerce environment without boundaries, and operates a diverse set of businesses in 14 countries, including Retail, third party marketplaces, eCommerce platforms, web services for developers. Retail Business Service (RBS) organization is a core part of leading customer experience and selling partners experience optimization. This team is part of RBS Customer Experience business unit. The team’s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The compatibility program handled by this team has a direct impact on customer buying decisions and online user experience. Compatibility program aims to address Customer purchase questions if two products works together, as well as reduce return due to incompatibility. Basic Qualifications Basic Qualifications Ability to analyse and then articulate business issues to a wide range of audiences using strong data, written and verbal communication skills Good mastery of BERT and other NLP frameworks such as GPT-2, XLNet, and Transformer models Experience in NLP techniques such as tokenization, parsing, lexing, named entity recognition, sentiment analysis and spellchecking Strong problem-solving skills, creativity and ability to overcome challenges SQL/ETL, Automation Tools Relevant bachelor’s degree or higher 3+ years combined of relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - Diverse experience will be favored eg. a mix of experience across different roles Be self motivated and autonomous with an ability to prioritize well, and remain focused when working within a team located in across several countries and time zones Preferred Qualifications Preferred Qualifications 3+ years combined of relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - Diverse experience will be favored eg. a mix of experience across different roles Understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service Experience with computer vision algorithms and libraries such as OpenCV, TensorFlow, Caffe or PyTorch. Technical expertise, experience in Data science and ML Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - BLR 14 SEZ Job ID: A2896681

About Our Company: Aerocraft Engineering India PVT Ltd based in Ahmedabad, provides services to US based Architecture, Engineering and Construction group of companies: Russell and Dawson – An Architecture/Engineering/Construction firm (www.rdaep.com) United-BIM – BIM Modeling Services Firm (www.united-bim.com) AORBIS – Procurement as a Service Provider (www.aorbis.com) For AORBIS business, We are seeking a passionate and skilled AI/ML Engineer with hands-on experience in Computer Vision, Document Processing Automation (PDFs), and LLMs . The ideal candidate will contribute to designing and deploying scalable AI solutions that extract, interpret, and act on unstructured and semi-structured data from documents using cutting-edge ML models. Familiarity with development tools like Python, GitHub, Jira, and Azure cloud is essential. Position: Senior Python & AI/ML Developer Timings: 12pm to 9pm - Monday to Friday Experience: Minimum 2-5 years Job Location: Ahmedabad (Siddhivinayak Towers, Makarba) Key Responsibilities: 1. Computer Vision & Image Processing Develop and optimize computer vision algorithms for document image processing (e.g., skew correction, OCR, layout detection). Implement models for object detection, segmentation, and keypoint detection in scanned or photographed documents. Apply pre-trained models and fine-tune them for use cases like table extraction or form understanding. 2. Machine Learning for PDF Automation Design and train models to extract structured data from unstructured PDFs (invoices, contracts, etc.). Use techniques like NLP, layout analysis, and supervised learning for content classification and entity extraction. Integrate tools such as Tesseract, PaddleOCR, Amazon Textract, or Azure Form Recognizer . 3. LLM (Large Language Models) Integration Fine-tune or prompt-engineer LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Claude) for document Q&A, summarization, or data enrichment. Build pipelines that blend OCR + LLM to automate document understanding and decision-making workflows. Evaluate and deploy open-source or commercial LLMs in a secure, scalable manner. 4. DevOps & Tooling Use GitHub for code version control, CI/CD pipelines, and collaborative development. Track and manage tasks and sprints using Jira in an Agile development setup. Docker and Kubernetes for smooth orchestration with server and client. Deploy and monitor ML models and APIs in the Azure cloud environment , leveraging Azure ML, Functions, or Containers. Required Skills and Experience: Bachelor's or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. 2+ years of hands-on experience with Python, OpenCV, TensorFlow/PyTorch, and ML frameworks. Strong grasp of NLP, OCR, and computer vision workflows. Experience working with PDF processing libraries (PDFMiner, PyMuPDF, PDFPlumber, etc.). Proficient in using and deploying models on Azure , with knowledge of Azure AI services. Understanding of version control with GitHub and task management via Jira . Exposure to prompt engineering and fine-tuning LLMs for domain-specific applications. Preferred Skills: Experience with open-source LLMs like LLaMA, Mistral, Falcon , or commercial APIs like OpenAI GPT-4 . Familiarity with vector databases (e.g., Qdrant, FAISS, Weaviate, ChromaDB ) and RAG-based systems. Knowledge of document standards like PDF/A, XFA, etc. Comfortable working in a fast-paced, research-oriented environment. 🎯 Key Responsibilities Build computer vision models for document layout analysis, object detection, and OCR enhancement. Automate data extraction from complex PDF documents (invoices, contracts, forms). Work with LLMs (e.g., GPT, LLaMA) for summarization, Q&A, and document intelligence tasks. Integrate AI pipelines with tools like Tesseract, Azure Form Recognizer, PDFMiner, PaddleOCR, etc. Deploy and manage ML solutions using Azure cloud services. Collaborate using GitHub (version control), Jira (Agile task tracking), and CI/CD workflows. ✅ Requirements 2–5 years of hands-on experience in AI/ML, preferably in document intelligence or vision-based systems. Strong Python skills with frameworks like TensorFlow, PyTorch, OpenCV. Proven experience in OCR, NLP, and automating document workflows. Experience with LLMs and prompt engineering or fine-tuning. Comfortable with DevOps tools: Azure, GitHub, Docker, Kubernetes and Jira. Benefits: Exposure to US Projects/Design/Standards Company provides Dinner/Snacks/Tea/Coffee Reimbursable Health Insurance 15 paid leave annually & 10 Public Holidays

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

Experience Required: 3-5 years of hands-on experience in full-stack development, system design, and supporting AI/ML data-driven solutions in a production environment. Key Responsibilities Implementing Technical Designs: Collaborate with architects and senior stakeholders to understand high-level designs and break them down into detailed engineering tasks. Implement system modules and ensure alignment with architectural direction. Cross-Functional Collaboration: Work closely with software developers, data scientists, and UI/UX teams to translate system requirements into working code. Clearly communicate technical concepts and implementation plans to internal teams. Stakeholder Support: Participate in discussions with product and client teams to gather requirements. Provide regular updates on development progress and raise flags early to manage expectations. System Development & Integration: Develop, integrate, and maintain components of AI/ML platforms and data-driven applications. Contribute to scalable, secure, and efficient system components based on guidance from architectural leads. Issue Resolution: Identify and debug system-level issues, including deployment and performance challenges. Proactively collaborate with DevOps and QA to ensure resolution. Quality Assurance & Security Compliance: Ensure that implementations meet coding standards, performance benchmarks, and security requirements. Perform unit and integration testing to uphold quality standards. Agile Execution: Break features into technical tasks, estimate efforts, and deliver components in sprints. Participate in sprint planning, reviews, and retrospectives with a focus on delivering value. Tool & Framework Proficiency: Use modern tools and frameworks in your daily workflow, including AI/ML libraries, backend APIs, front-end frameworks, databases, and cloud services, contributing to robust, maintainable, and scalable systems. Continuous Learning & Contribution: Keep up with evolving tech stacks and suggest optimizations or refactoring opportunities. Bring learnings from the industry into internal knowledge-sharing sessions. Proficiency in using AI-copilots for Coding: Adaptation to emerging tools and knowledge of prompt engineering to effectively use AI for day-to-day coding needs. Technical Skills Hands-on experience with Python-based AI/ML development using libraries such as TensorFlow , PyTorch , scikit-learn , or Keras . Hands-on exposure to self-hosted or managed LLMs , supporting integration and fine-tuning workflows as per system needs while following architectural blueprints. Practical implementation of NLP/CV modules using tools like SpaCy , NLTK , Hugging Face Transformers , and OpenCV , contributing to feature extraction, preprocessing, and inference pipelines. Strong backend experience using Django , Flask , or Node.js , and API development (REST or GraphQL). Front-end development experience with React , Angular , or Vue.js , with a working understanding of responsive design and state management. Development and optimization of data storage solutions , using SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra), with hands-on experience configuring indexes, optimizing queries, and using caching tools like Redis and Memcached . Working knowledge of microservices and serverless patterns , participating in building modular services, integrating event-driven systems, and following best practices shared by architectural leads. Application of design patterns (e.g., Factory, Singleton, Observer) during implementation to ensure code reusability, scalability, and alignment with architectural standards. Exposure to big data tools like Apache Spark , and Kafka for processing datasets. Familiarity with ETL workflows and cloud data warehouse , using tools such as Airflow , dbt , BigQuery , or Snowflake . Understanding of CI/CD , containerization (Docker), IaC (Terraform), and cloud platforms (AWS, GCP, or Azure). Implementation of cloud security guidelines , including setting up IAM roles , configuring TLS/SSL , and working within secure VPC setups, with support from cloud architects. Exposure to MLOps practices , model versioning, and deployment pipelines using MLflow , FastAPI , or AWS SageMaker . Configuration and management of cloud services such as AWS EC2 , RDS , S3 , Load Balancers , and WAF , supporting scalable infrastructure deployment and reliability engineering efforts. Personal Attributes Proactive Execution and Communication: Able to take architectural direction and implement it independently with minimal rework with regular communication with stakeholders Collaboration: Comfortable working across disciplines with designers, data engineers, and QA teams. Responsibility: Owns code quality and reliability, especially in production systems. Problem Solver: Demonstrated ability to debug complex systems and contribute to solutioning. Preferred Skills: Key : Python, Django, Django ORM, HTML, CSS, Bootstrap, JavaScript, jQuery, Multi-threading, Multi-processing, Database Design, Database Administration, Cloud Infrastructure, Data Science, self-hosted LLMs Qualifications Bachelors or Master’s degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in cloud or machine learning are a plus. Package: 6-11 LPA

Job Title: AI/ML Developer Location: Pune (On-site) Experience Required: 6 to 7 years Industry: IT/Software Services Hiring For: One of our reputed clients in Pune About the Role: We’re hiring a highly skilled AI/ML Developer with 6–7 years of hands-on experience in building and deploying robust Machine Learning solutions. This is an onsite role in Pune , ideal for professionals who are passionate about artificial intelligence, data-driven solutions, and real-world implementation of cutting-edge algorithms. Key Responsibilities: Design, develop, and deploy end-to-end AI and Machine Learning models. Work on data preprocessing, model selection, training, tuning, and validation. Implement predictive modeling, NLP, computer vision, or recommendation systems as per project needs. Collaborate with cross-functional teams for product integration and deployment. Monitor model performance and optimize regularly for accuracy and speed. Stay updated with the latest developments in AI/ML frameworks, tools, and techniques. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field. 6–7 years of proven experience in Machine Learning and AI projects. Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, scikit-learn, OpenCV, or Keras . Solid experience in data preprocessing , model training , hyperparameter tuning , and deployment . Hands-on experience with NLP , deep learning , or computer vision projects is a strong plus. Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps tools. Experience with version control (Git) and containerization (Docker/Kubernetes) preferred. Excellent communication skills — ability to present complex ideas clearly to technical and non-technical stakeholders. What We’re Looking For: Technically strong and self-driven professional. Excellent communication and problem-solving skills. Comfortable with working full-time from the client’s Pune office . Immediate joiners will be preferred. Why Join? Exciting opportunity to work on innovative AI/ML solutions. High-impact role in a fast-growing tech environment. Competitive salary and collaborative culture. How to Apply: Interested candidates meeting the above criteria can apply directly through Indeed or send their updated resume to ankita.parbat@sanglob.in Job Types: Full-time, Permanent Pay: ₹150,000.00 - ₹170,000.00 per month Benefits: Health insurance Paid sick time Paid time off Provident Fund Location Type: In-person Schedule: Day shift Monday to Friday Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): How soon you can join? What is your current CTC? What is your expected CTC? Experience: AI: 7 years (Preferred) ML: 7 years (Preferred) Work Location: In person

Dear Candidate, We are hiring a Data Science Engineer to build production-ready data science pipelines and models. Ideal for professionals who blend software engineering with applied ML skills. Key Responsibilities: Design and develop ML pipelines for training, evaluation, and deployment Engineer data preprocessing and feature extraction systems Integrate models into applications and monitor post-deployment performance Collaborate with data scientists, engineers, and product teams Required Skills & Qualifications: Proficiency in Python, pandas, scikit-learn, and MLflow Experience with Spark, Airflow, or cloud ML pipelines Strong grasp of statistics, data structures, and ML model optimization Bonus: Exposure to MLOps tools and model versioning frameworks Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Key Skills: Cluster, C++, Java, SIMD, AVX, OpenCV, OpenMP, OpenCL. Roles and Responsibilities: Understand project specifications and performance requirements and drive adherence to project timelines, ensuring program milestones are achieved on schedule. Lead and expand a team of software engineers while ensuring effective collaboration within the team. Manage time and organizational tasks efficiently to meet development objectives. Adapt swiftly to changes within the fast-paced high-performance computing industry. Identify and address bottlenecks in data movement, code execution, and job scheduling. Leverage in-depth knowledge of Linux systems and internals to support HPC infrastructure. Apply proficiency in Shell and Python scripting to support testing and automation. Ensure optimized performance of parallel and distributed computing applications. Experience Requirement: 3 to 5 years of validated experience in HPC or a related engineering domain. Strong Object-Oriented programming skills in Java and/or C++. Proven proficiency in parallel programming and distributed computing techniques. Strong understanding of HPC hardware including servers, GPUs, networking, storage, BIOS, and BMC. Experience with performance profilers such as Intel vTune, Nvidia Nsight Compute, AMD uProf, and perf is preferred. Familiarity with libraries such as SIMD, AVX, IPP, MKL, OpenCV, OpenMP, OpenCL, MPI, and CUDA is advantageous. Experience with observability tools for distributed systems like Prometheus and Grafana is a plus. Demonstrated ability to work effectively in a team, manage tasks efficiently, and adapt to evolving priorities. Education: B.Tech M.Tech (Dual), B.E., B.Tech.