1258 Opencv Jobs - Page 4

Required Skills Proficiency in Python, especially for data processing, OCR, and ML Experience using AWS services: S3, Lambda, SageMaker, Textract, IAM, KMS Knowledge of OCR tools (e.g., Tesseract, AWS Textract, OpenCV for image cleaning) Familiarity with ML libraries: Scikit-learn, TensorFlow/PyTorch, HuggingFace Transformers Basic API development using Flask or FastAPI Understanding of containerization with Docker Exposure to Git and CI/CD pipelines Strong debugging, documentation, and code modularization skills Interested can share your resume to priyadharshini.r@g2tsolutions.com

We’re Hiring: AI and AR Experts Location: Boys Town, Mananthwady Company: Komachi Park LLP Are you passionate about building the future using Artificial Intelligence (AI) and Augmented Reality (AR) ? Join Komachi Park LLP. We’re looking for creative and skilled professionals in the fields of AI and AR to join our R&D and product development teams. Open Positions 1. AI Expert / AI Engineer 2. AR Developer / AR Engineer Key Responsibilities AI Expert: Develop and deploy machine learning models (e.g., NLP, computer vision, recommendation engines) Work with datasets, design predictive algorithms, and integrate AI with existing platforms Collaborate with UI/UX and app teams to deliver intelligent features AR Expert: Create immersive AR experiences for mobile, web, or wearable devices Use AR SDKs like ARKit, ARCore, Vuforia, etc. Work closely with the design and 3D teams to integrate real-world scenarios Required Skills AI Expert: Proficiency in Python, TensorFlow, PyTorch, OpenCV, or similar Experience in deploying AI models to production Strong analytical and problem-solving skills AR Expert: Experience with Unity or Unreal Engine Familiarity with 3D modeling tools and rendering Strong grasp of real-time interaction and spatial computing Preferred Qualifications Bachelor's or Master's in Computer Science, Engineering, or related fields 2+ years of relevant experience (Freshers with strong portfolios may also apply) Passion for innovation, collaboration, and continuous learning Why Join Us? Be part of cutting-edge tech projects Contribute to products impacting real businesses Friendly, innovative, and growth-focused work culture How to Apply Send your CV, portfolio (if applicable), and a short note on your experience to 9847294932 Subject: Application for AI/AR Role Job Types: Full-time, Permanent, Contractual / Temporary Contract length: 12 months Pay: ₹10,678.65 - ₹40,752.97 per month Work Location: In person Speak with the employer +91 9847294932 Expected Start Date: 04/08/2025

Dear Connections, We are Hiring : Linux Camera Developer Location : Hyderabad Experience : 5-10yrs 1. Camera Driver Development & Integration Develop, maintain, and enhance V4L2 (Video4Linux2) camera drivers. Integrate camera sensors (e.g., Sony, Omnivision) with ISP (Image Signal Processor) pipelines. Enable sensor features and support sensor initialization, streaming, and control operations on embedded Linux. 2. Middleware & HAL Layer Implementation Develop and adapt camera HAL (Hardware Abstraction Layer) for Linux or Android platforms. Interface camera hardware with middleware stacks like GStreamer, libcamera , or vendor-specific solutions. Work on device tree configuration and kernel-to-user-space interfacing. 3. Camera Tuning & Optimization Tune ISP parameters such as: Auto White Balance (AWB) Auto Exposure (AE) Auto Focus (AF) Collaborate with ISP algorithm teams to improve image quality under various lighting and scene conditions. 4. Debugging & Validation Bring-up new camera modules on custom hardware. Analyze logs and debug camera stack using tools like: media-ctl, v4l2-ctl GStreamer pipelines Custom test frameworks Validate image quality and camera performance. 5. Performance Optimization Optimize latency, throughput, and power consumption of the camera pipeline. Benchmark and profile performance for real-time or low-power applications. 6. Collaboration with Cross-Functional Teams Coordinate with teams across hardware, kernel, middleware, and user-space applications. Work closely with SoC vendors and camera module suppliers for feature enablement and issue resolution. 7. Support for Multi-Camera Systems Enable and synchronize multi-camera use cases such as: Stereo vision 360° and surround-view systems Multi-sensor streaming and fusion Expertise Required Programming Skills Proficient in C/C++ for kernel and user-space development. Experience with multithreading, performance optimization, and memory handling in embedded systems. Linux & Embedded Systems Solid background in Embedded Linux environments. Hands-on with Yocto , Buildroot, or AOSP for building Linux/Android images. Camera Frameworks & APIs In-depth knowledge of V4L2 API and camera control IOCTLs. Familiarity with libcamera , GStreamer , and camera pipeline development. Image Signal Processing (ISP) Understanding of ISP components (3A: Auto Focus, Auto Exposure, Auto White Balance). Experience with image tuning tools and workflows. Sensor Interfaces Strong understanding of MIPI CSI-2 , I2C , and camera module interfacing. Experience with low-level sensor bring-up and timing/debugging tools (e.g., logic analyzers, scope). Debugging & Profiling Proficient with tools: dmesg, strace, gdb, perf, media-ctl, v4l2-ctl. Ability to trace and resolve kernel/user-space interaction issues. Android-Specific Knowledge (if applicable) Familiar with Camera HAL3 , AOSP camera stack , and Android camera debugging tools (logcat, camera_dbg). If you are looking for job change share your updated resume to vagdevi@semi-leaf.com “Your reference would be greatly appreciated” Job Type: Full-time Pay: Up to ₹2,500,000.00 per year Experience: Camera Driver Development, V4L2 (Video4Linux2) camera : 2 years (Required) Strong C/C++ Programming: Writing Linux kernel drivers: 2 years (Required) GStreamer / libcamera / OpenCV: 2 years (Required) Image Signal Processing : 2 years (Required) Camera Sensor & MIPI CSI-2 Interface: 1 year (Required) Work Location: In person

Key Responsibilities Design and implement embedded software for video processing, motion detection, and network communication. Develop firmware for microcontrollers, SoCs, and DSPs used in CCTV cameras. Optimize code for performance, memory usage, and power efficiency. Integrate image sensors and modules (e.g., night vision, PTZ). Interface with peripherals (e.g., UART, SPI, I2C, Ethernet, USB). Support video encoding/decoding using H.264/H.265 and ONVIF standards. Collaborate with hardware engineers on board bring-up and debugging. Participate in system architecture design and component selection. Conduct unit testing, integration testing, and firmware validation. Maintain documentation of code and design for future development. Required Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, or related field. 3+ years of experience in embedded software development. Strong proficiency in C/C++ and RTOS environments. Experience with ARM Cortex, MIPS, or RISC-V architecture. Familiarity with camera modules, ISP tuning, and image processing. Knowledge of networking protocols (TCP/IP, UDP, HTTP, RTSP). Experience with version control systems (e.g., Git). Debugging tools experience: JTAG, oscilloscopes, logic analyzers. Preferred Skills: Experience with Linux kernel and driver development. Familiarity with OpenCV, GStreamer, or similar video processing libraries. Understanding of cybersecurity principles for IoT devices. Background in machine vision or AI-based video analytics. Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹50,000.00 per month Experience: Embedded software: 2 years (Required) Work Location: In person

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Java, Node, Deployment, Image Processing, AWS, Computer Vision, object detection, FastAPI Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions 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 Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster 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!

Job Brief We are seeking a highly skilled and visionary AI Lead/Architect to design, implement, and lead AI/ML systems from problem definition and data strategy to production deployment for real-world autonomous systems. The ideal candidate will bring a strong foundation in Machine Learning, Deep Learning, and AI architecture, combined with leadership capabilities to drive AI excellence within cross-functional teams. Key Responsibilities AI Strategy & Architecture Architect and drive end-to-end AI solutions for autonomous platforms including computer vision, sensor fusion, NLP, and generative AI. Design scalable and modular AI pipelines and microservices using modern ML Ops frameworks (Docker, Kubernetes, Azure ML, etc.). Model Development Lead the development and deployment of ML/DL models including CNNs, RNNs, Transformers, LLMs, and federated learning architectures. Build and fine-tune models for multi-modal tasks such as image/video understanding, speech, and document intelligence. Team Leadership Manage a team of AI/ML engineers, and data scientists. Provide mentorship and technical oversight. Collaborate with software, robotics, and product teams to align AI goals with business outcomes. Innovation & R&D Drive R&D initiatives in areas like Explainable AI, Federated Learning, GenAI (LLMs), and Reinforcement Learning for real-time control systems. Evaluate and implement state-of-the-art research to maintain a competitive technological edge. Project Execution Lead AI project delivery including PoCs, pilots, and full-scale deployments for internal products and external clients. Ensure adherence to Responsible AI principles, performance benchmarks, and ethical AI practices. Required Skills and Qualifications • 8–10 years of experience in AI/ML, with at least 3 years in a leadership or architectural role. • Strong expertise in: o Deep Learning frameworks (TensorFlow, PyTorch, Keras) o Computer Vision and/or NLP (LayoutLM, LLMs like GPT-4, BERT) o Cloud ML Platforms (Azure, AWS) o MLOps: Docker, Kubernetes, CI/CD pipelines • Experience with Generative AI, Prompt Engineering, and Retrieval-Augmented Generation (RAG) • Hands-on with Python and libraries such as Scikit-learn, NumPy, Pandas, OpenCV, HuggingFace Preferred Skills • Exposure to Federated Learning, Explainable AI, or Reinforcement Learning • Experience working with sensor data and embedded ML for edge computing • Research exposure (PhD or academic contributions in AI/ML) Soft Skills • Strong leadership and communication skills • Ability to translate complex research into practical applications • Proven experience working in agile and cross-disciplinary teams Why RoshAi? • Work at the forefront of India’s autonomous technology revolution. • Opportunity to impact real-world systems and products in a fast-scaling startup. • Collaborate with top AI minds and deep tech leaders. • Competitive compensation, ESOPs, and flexible work environment. Join RoshAi and be part of a forward-thinking company that values innovation, development, and your well-being.

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

Job Description: We are seeking a highly skilled and experienced C++ Engineer to join our team. The primary responsibility will be converting existing Python-based computer vision and deep learning (CVDL) code into optimized, production-ready C++ code. The ideal candidate should be proficient in working with C++ frameworks and libraries, including TensorFlow, PyTorch, ONNX, MNN, NCNN, TensorFlow Lite (TFLite), MMDeploy, etc. The resulting C++ code will be used across Windows and Ubuntu environments, with a strong emphasis on cross-platform compatibility and performance optimization. Key Responsibilities: Convert Python-based CVDL (Computer Vision and Deep Learning) pipelines into optimized C++ implementations. Implement models and algorithms using C++ frameworks such as TensorFlow, PyTorch, ONNX, MNN, NCNN, TensorFlow Lite (TFLite), MMDeploy, and other relevant libraries. Optimize code for performance, ensuring efficient use of resources, especially in real-time processing pipelines. Ensure cross-platform compatibility, building C++ code that works seamlessly on both Windows and Ubuntu using CMakeLists. Debug, profile, and optimize deep learning inference pipelines, addressing issues related to memory usage, speed, and accuracy. Collaborate with AI teams to understand the Python codebase, gather requirements, and ensure the successful porting of features. Maintain up-to-date knowledge of the latest developments in C++ frameworks, deep learning inference engines, and performance optimization techniques. Requirements: Experience: - 5+ years of experience in C++ software development, specifically in converting Python code into C++. - 3 + years of experience with computer vision and deep learning frameworks such as TensorFlow, PyTorch, ONNX, MNN, NCNN, TensorFlow Lite (TFLite), MMDeploy , Mediapipe and Bazel build system. - Solid experience in cross-platform development for both Windows and Ubuntu using CMakeLists. Programming Skills: - Proficiency in C++ (C++11/14/17) with a deep understanding of memory management, multi-threading, and performance optimization. - Familiarity with Python, specifically in computer vision and deep learning applications, to interpret and convert code accurately. - Strong knowledge of CMake for building cross-platform applications. Technical Expertise: - Experience working with deep learning models and converting models between different formats (e.g., TensorFlow to ONNX, PyTorch to NCNN, etc.). - Experience with OpenCV and other related computer vision libraries. - Understanding of inference optimizations such as quantization, pruning, and model acceleration will be plus. Communication: - Strong problem-solving skills and the ability to work in a collaborative, fast-paced environment. - Ability to communicate effectively with cross-functional teams, including data scientists, ML engineers, and Python developers.

Position: AI & Electronics Controls Intern (In-Person, Full time) Location: Nagpur, Maharashtra Type: Internship (3–6 months, On-site) Start Date: Immediate Stipend: ₹5,000/month Company: Softform.in – Engineering Consulting & Technology Solutions About the Role: Softform.in is looking for a hands-on, technically curious AI & Electronics Controls Intern to support the development of advanced hardware systems. You’ll contribute to TerraSuit – a wearable microclimate system – as well as work on real-time AI visual processing projects involving object detection, tracking, and user assistance. You’ll be working on embedded platforms like Arduino, ESP32, and Raspberry Pi, combining traditional electronics with AI integration. Key Responsibilities: Build and test embedded systems using Arduino, ESP32, and Raspberry Pi Program sensors, actuators, and control logic (PWM, feedback loops, etc.) Integrate visual AI modules (e.g., object detection, gesture recognition) using OpenCV, TensorFlow Lite, or Edge Impulse Work on camera integration for real-time perception and user-assist features Prototype and debug low-power systems and handle battery/power management Assist with PCB prototyping, wiring, soldering, and system testing Collaborate with software, mechanical, and AI teams to ensure system-level integration Requirements: Based in Nagpur or willing to relocate Comfortable with breadboards, soldering, multimeter, and basic diagnostic tools Pursuing or recently completed a degree in Electronics, Mechatronics, Instrumentation, Electrical, or a related field Familiarity with Arduino, ESP32, Raspberry Pi, and basic C/C++ or Python Comfortable working with sensors, actuators, and communication protocols (I2C, SPI, UART) Exposure to basic computer vision tools like OpenCV, MediaPipe, or Edge Impulse Working knowledge of AI tools (ChatGPT, Colab, Notion AI, etc.) Preferred (Bonus): Experience deploying AI models to ESP32-CAM or Raspberry Pi PCB design experience (KiCad, EasyEDA, etc.) Familiarity with wearable devices, IoT systems, or embedded Linux Experience with MQTT or HTTP-based device communication What You’ll Gain: Experience building real-world AI-integrated hardware systems Mentorship from experienced engineers and exposure to full product development cycles Internship certificate, strong recommendation, and possible full-time offer How to Apply: Apply on Linkedin or send your resume to kuldipb@softform.in with subject AI Intern application. "Application – AI & Electronics Controls Intern" (Optional: Include links to GitHub, projects, or a short note on your interest in the role)

Title - ML Developer Language - English Location - Pune/ Hyderabad Duration - Fulltime permanent role Workplace type - Work from office Experience -5+ Years Machine Learning (ML) Developer JD: Onboarding and Know Your Customer (OBKYC) Value Stream The Onboarding and Know Your Customer (OBKYC) Enabler Value Stream has been established to deliver common, group-wide onboarding and KYC capabilities and services. It brings together business, operations and technology colleagues to co-design and build solutions to deliver better products and services for our customers. This value stream is intended to deliver towards our Future State Architecture (FSA) and the Digital Acceleration Programme - enabling a consistent approach in how we deliver change across the bank to facilitate improving the experience of our customers, the resilience of our infrastructure, and allow us to embrace innovative technologies. Our global businesses, operations and technology teams work closely together to help design and build digital services that allow our millions of customers around the world, to bank quickly, simply, and securely. OBKYC scope incorporates onboarding products, platforms, and a delivery capability particularly suited to client-aligned agile delivery at pace. The products provide our CIB and Wealth & Private Banking client base with onboarding capabilities to enable a best-in-class staff and client experience. Solutions are tailored to suit the client’s needs, from Treasury depts of large multi-nationals to sole traders. We are investing heavily across these domains with a strategic focus on increasing adoption of AI capabilities through our flagship AI journeys, day-to-day engineering and overall ways of working. To accelerate achieving our vision , we are seeking an experienced AI Engineer to join the Client Services and OBKYC Technology group. The role will be Poland based but will work with our teams globally. Machine Leaning Developer Principal responsibilities: · Building production-ready models to drive content extraction and classification from images and text-based sources. · Working closely with business teams to understand requirements and iteratively design and develop solutions. · Collaborative with product managers, technical teams. · Create, test and iterate new and existing products and features. · Designing and building Python/ML/OCR-based components. · Not only supporting the development of the product, but also the full lifecycle including the deployment, testing and production support of the application. Required experience: · MUST HAVE Strong experience in Document AI/Intelligent document processing using traditional models and Generative AI - particularly in using open source models for achieving business outcomes. · Experience delivering to production in python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. · Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents. · Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs. Nice to Have: · Experience using PostgreSQL for data storage and management. · Proficiency with Azure's core services like Azure Virtual Machines and experience with one or all of Azure CLI, Azure Kubernetes Service (AKS) and Azure DevOps · Experience delivering in teams releasing at a high cadence to production. If interested, kindly share your updated CV with arulkiruthiga@sloka.eu (or) arul.k@kamkon.in

Skills: React.js, REST APIs, Python, Redux, SQL, Node.js, Django, Job Title: Full Stack Developer (React.js + Python) Location: Baner, Pune Company: Muks Robotics AI Pvt. Ltd. Employment Type: Full-Time About Us Muks Robotics AI Pvt. Ltd. is an innovation-driven company at the forefront of robotics and artificial intelligence. We are building intelligent automation systems that redefine industry standards and deliver real-time smart solutions. Role Overview We are seeking a Full Stack Developer with hands-on experience in modern frontend development (React.js) and strong proficiency in backend technologies including Python . The ideal candidate will work on real-time systems involving UI interfaces, image/video pipelines, backend services, and data integration to support intelligent robotics applications. Key Responsibilities Design and develop responsive, component-driven web interfaces using React.js Build and maintain backend services using Python (FastAPI / Flask) or Node.js, depending on the application layer Integrate frontend UIs with real-time vision systems, robotic APIs, and database backends Collaborate with robotics and embedded teams for seamless full-system integration Manage and optimize databases using MongoDB and PostgreSQL Develop, test, and maintain reusable code for both frontend and backend Work on both browser-based and desktop UIs as needed (e.g., using PyQt5 or Electron) Follow modular design, clean architecture, and DevOps best practices Required Skills Frontend: React.js, HTML5, CSS3, JavaScript/TypeScript Backend: Python (Flask, FastAPI preferred), optionally Node.js Desktop GUI (optional): PyQt5 or Electron.js Databases: MongoDB (NoSQL), PostgreSQL (SQL) Computer Vision Integration: Basic understanding of OpenCV (preferred) Experience working with APIs (RESTful, WebSocket) and asynchronous data flows Familiarity with version control (Git), CI/CD workflows, and Docker environments Strong problem-solving, debugging, and documentation skills Preferred Qualifications Bachelors degree in Computer Science, Engineering, or related field Experience in robotics, automation, or IoT systems is a plus Familiarity with real-time systems, hardware communication, or vision modules Exposure to cloud platforms (AWS/GCP), message queues, or containerization

Senior AI/ML Engineer Location: Chennai, Bangalore, Noida and Pune Required Qualifications 5+ years of professional experience in AI/ML development Strong programming skills in Python and related ML frameworks Proven track record of delivering GenAI systems to production Effective communication with client Technical Skills & Experience Proficiency in Python, TensorFlow, PyTorch, Hugging Face, LangChain. Experience with APIs development and integration using Flask, FastAPI, or similar frameworks. Familiarity with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for AI applications. Experience with SQL & NoSQL databases (PostgreSQL, MongoDB, etc.). Strong knowledge of Cloud services (AWS, Azure, GCP) for AI deployment. Understanding of MLOps and CI/CD pipelines for model lifecycle management. Machine Learning & Deep Learning Strong foundation in traditional ML algorithms and statistical modeling Experience with neural network architectures and deep learning frameworks (PyTorch/TensorFlow) Practical knowledge of model optimization, hyperparameter tuning, and performance metrics Expertise in data preprocessing, feature engineering, and model validation techniques Large Language Models (LLMs) Experience working with transformer-based architectures Hands-on experience with LLM deployment and fine-tuning Understanding of prompt engineering and LLM evaluation metrics Knowledge of RAG (Retrieval-Augmented Generation) systems and vector databases AI Agents & Automation Experience in developing autonomous AI agents and workflows Understanding of agentic approaches to AI system design Knowledge of reinforcement learning and decision-making systems Experience with AI orchestration and multi-agent systems Computer Vision (Good to have) Practical experience with image processing and computer vision algorithms Knowledge of CNN architectures and modern vision transformers Experience with object detection, segmentation, and classification tasks Understanding of video processing and real-time vision systems Infrastructure & Deployment Strong experience with cloud platforms (AWS/Azure/GCP) Expertise in API development and RESTful services Knowledge of containerization and orchestration (Docker, Kubernetes) Experience with ML ops and model serving infrastructure Key Responsibilities Design and implement end-to-end AI solutions from concept to production Develop and optimize ML models for various use cases Create and maintain RAG systems for information retrieval and generation Build and deploy computer vision solutions for real-world applications Implement and manage cloud-based AI services and APIs Collaborate with cross functional teams to integrate AI solutions Mentor junior team members and contribute to technical decision making Preferred Skills Experience with distributed computing and large scale data processing Knowledge of AI safety and responsible AI development practices Familiarity with AI research papers and ability to implement novel approaches Experience with A/B testing and experimental design Strong documentation and technical writing abilities Personal Qualities Strong problem solving and analytical skills Excellent communication and collaboration abilities Self motivated with a passion for staying current with AI advancements Ability to work independently and as part of a team share CV to hrajasekaran@aziro.com

Experience : 4.00 + years Salary : INR 4000000-5000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. 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 Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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!

Experience : 4.00 + years Salary : INR 4000000-5000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. 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 Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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!

Experience : 4.00 + years Salary : INR 4000000-5000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. 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 Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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!

Experience : 4.00 + years Salary : INR 4000000-5000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. 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 Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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!

Experience : 4.00 + years Salary : INR 4000000-5000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. 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 Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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!

Experience : 4.00 + years Salary : INR 4000000-5000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. 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 Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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!

As an Electronics Embedded Engineer, you will have the opportunity to work with Eeki (One of Uplers" Clients) in an office setting located in Kota. You will play a vital role in designing and testing embedded hardware interfaces for sensors and communication modules. Your responsibilities will include developing Product Requirement Documents (PRDs), system architecture, and supporting documentation throughout the product development lifecycle. You will be involved in schematic design, PCB layout, component selection, Bill of Materials (BOM) creation, Gerber file generation, and managing PCB manufacturing and assembly. Additionally, you will oversee board bring-up activities, manage vendors, handle import logistics for electronic components, plan project budgets, define test strategies, design custom test jigs, and manage product certification processes. The ideal candidate must possess skills in UART, Embedded Linux, SPI, I2C, Raspberry Pi, Eagle, and developing Product Requirement Documents (PRDs). You should also have experience in PCB bring-up, debugging, and validation, power optimization, signal integrity, and hardware integration of edge AI systems. Proficiency in schematic and PCB design tools such as Altium Designer, KiCAD, and Eagle is required for this role. In addition, there is an opportunity for a Manufacturing & Field Deployment Lead position where you will be responsible for developing low-level firmware for precise control and interfacing of sensors and camera modules. You will optimize and deploy edge machine learning (ML) models on embedded platforms like NVIDIA Jetson Nano and Raspberry Pi. Managing hardware interfaces for wireless connectivity, implementing Over-The-Air (OTA) update mechanisms, and designing strategies for efficient power management across edge computing systems and sensor networks are also crucial aspects of this role. To apply for this opportunity, follow the easy 3-step process: 1. Click on Apply! and register or log in on the portal. 2. Upload your updated resume and complete the screening form. 3. Increase your chances of getting shortlisted and meeting the client for an interview. If you are passionate about your work, eager to learn and grow, and committed to delivering exceptional results in the field of Electronics Embedded Engineering, this is the perfect opportunity for you. Join Eeki and be a part of a dynamic team that values innovation and excellence. Apply today and take your career to the next level with Uplers!,

As an Electronic Embedded Engineer at Eeki, you will be responsible for designing and testing embedded hardware interfaces for sensors and communication modules. Your key duties will include developing Product Requirement Documents (PRDs), system architecture, and supporting documentation throughout the product development lifecycle. You will also be involved in schematic design, PCB layout, component selection, Bill of Materials (BOM) creation, Gerber file generation, and managing PCB manufacturing and assembly. Additionally, you will oversee board bring-up activities, manage vendors, handle import logistics for electronic components, plan project budgets, define test strategies, design custom test jigs, and manage product certification processes. To excel in this role, you must possess skills in UART, Embedded Linux, SPI, I2C, Jetson Nano, Raspberry Pi, Altium Designer, KiCAD, Eagle, and developing PRDs. Your qualifications should include expertise in embedded Linux, PCB bring-up, debugging, validation, power optimization, signal integrity, and hardware integration of edge AI systems. Familiarity with schematic and PCB design tools such as Altium Designer, KiCAD, and Eagle is essential. Furthermore, as a Manufacturing & Field Deployment Lead, you will be responsible for developing low-level firmware for precise control and interfacing of sensors and camera modules. Your role will involve optimizing and deploying edge machine learning (ML) models on embedded platforms, managing hardware interfaces for wireless connectivity, implementing Over-The-Air (OTA) update mechanisms, and designing strategies for efficient power management across edge computing systems and sensor networks. To succeed in this position, you should have proficiency in C/C++ for embedded firmware, edge ML frameworks (TensorRT, OpenCV, PyTorch Lite), connectivity protocols (MQTT, HTTP, custom serial protocols), OTA frameworks, and power profiling techniques. The roles are based in Kota, Rajasthan, with a salary range of INR 4-6 LPA. The working hours are Monday to Saturday from 10 am to 6 pm. To apply for these opportunities, click on Apply! on the portal, register or login, complete the Screening Form, and upload your updated resume to increase your chances of getting shortlisted for an interview. Uplers is dedicated to simplifying and expediting the hiring process, providing support to all talents in finding and applying for relevant contractual onsite opportunities to advance their careers. If you are seeking a new challenge, a supportive work environment, and a chance to elevate your career, apply today and seize the opportunity to grow with us.,

As a Sr. Consultant- Data Scientist at Firstsource Solutions Limited, you will be responsible for designing and implementing advanced Machine Learning (ML) and Deep Learning (DL) models. Your role will involve developing web applications using Flask and FastAPI for real-time data processing and user interaction. Additionally, you will conduct exploratory data analysis, create data processing pipelines, and utilize Generative AI techniques to enhance content generation. Collaboration is key in this role as you will work closely with cross-functional teams to integrate AI capabilities into products and systems. Staying updated with the latest advancements in AI, ML, DL, Computer Vision (CV), and Natural Language Processing (NLP) is crucial to drive innovation within the organization. Effective communication skills are essential for conveying complex quantitative analysis to senior management and other departments in a clear and actionable manner. To qualify for this position, you should possess a Bachelors or Masters or PhD degree in Computer Science, Data Science, Statistics, or a related field. A minimum of 5 to 7 years of experience in a data science role focusing on ML, DL, and statistical modeling is required. Strong coding skills in Python, proficiency in ML and DL frameworks (such as PyTorch, TensorFlow), CV tools (like OpenCV), and NLP libraries (such as NLTK, spaCy) are essential. Prior experience with generative models like GANs, VAEs, or Transformers, along with deployment skills in Docker, Kubernetes, and CI/CD pipelines, is advantageous. Analytical aptitude and excellent communication skills are also necessary for this role. Possessing certifications in Data Science, ML, or AI from recognized institutions will be an added advantage. Please note that Firstsource maintains a fair, transparent, and merit-based hiring process and does not solicit money at any stage. Beware of fraudulent offers and always verify information through official channels or @firstsource.com email addresses.,

As an experienced and passionate AI/ML Trainer, you will be responsible for delivering hands-on training for a structured Artificial Intelligence & Machine Learning program. This contract-based opportunity is ideal for professionals with strong technical expertise and a flair for teaching. Your key responsibilities will include delivering in-depth classroom and lab-based training sessions on core AI/ML topics, designing, developing, and maintaining training material, assignments, and project modules, conducting doubt-clearing sessions, assessments, and live coding exercises, guiding students through capstone projects and real-world datasets, evaluating learner performance, and providing constructive feedback. It will also be your responsibility to stay updated with the latest industry trends, tools, and techniques in AI/ML. The topics you will cover during the training sessions include 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.), and hands-on experience with libraries like NumPy, Pandas, Scikit-learn, TensorFlow/Keras, OpenCV, and tools such as Jupyter, Git, Google Colab, and VS Code. To be eligible for this role, you should have a Bachelor's or Master's degree in Computer Science, Data Science, or a related field, along with at least 24 years of relevant industry/training experience in AI/ML. Strong communication and presentation skills are essential, as well as the ability to mentor and engage learners of varying skill levels. Prior training or teaching experience, whether academic or corporate, is preferred. Your skills should include expertise in ML, scikit-learn, TensorFlow, Jupyter, Natural Language Processing, OpenCV, Python for Data Science, Google Colab, Deep Learning, Model Deployment, NumPy, Keras, Linear Algebra, Statistics, Pandas, Git, VS Code, and a good understanding of contractual, artificial intelligence, and machine learning concepts.,

As a Senior Specialist in Software Development (Artificial Intelligence) at Accelya, you will lead the design, development, and implementation of AI and machine learning solutions to tackle complex business challenges. Your expertise in AI algorithms, model development, and software engineering best practices will be crucial in working with cross-functional teams to deliver intelligent systems that optimize business operations and decision-making. Your responsibilities will include designing and developing AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. You will lead the implementation of advanced algorithms for supervised and unsupervised learning, reinforcement learning, and computer vision. Additionally, you will develop scalable AI models, integrate them into software applications, and build APIs and microservices for deployment in cloud environments or on-premise systems. Collaboration with data scientists and data engineers will be essential in gathering, preprocessing, and analyzing large datasets. You will also implement feature engineering techniques to enhance the accuracy and performance of machine learning models. Regular evaluation of AI models using performance metrics and fine-tuning them for optimal accuracy will be part of your role. Furthermore, you will collaborate with business stakeholders to identify AI adoption opportunities, provide technical leadership and mentorship to junior team members, and stay updated with the latest AI trends and research to introduce innovative techniques to the team. Ensuring ethical compliance, security, and continuous improvement of AI systems will also be key aspects of your role. You should hold a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, along with at least 5 years of experience in software development focusing on AI and machine learning. Proficiency in AI frameworks and libraries, programming languages such as Python, R, or Java, and cloud platforms for deploying AI models is required. Familiarity with Agile methodologies, data structures, and databases is essential. Preferred qualifications include a Master's or PhD in Artificial Intelligence or Machine Learning, experience with NLP techniques and computer vision technologies, and certifications in AI/ML or cloud platforms. Accelya is looking for individuals who are passionate about shaping the future of the air transport industry through innovative AI solutions. If you are ready to contribute your expertise and drive continuous improvement in AI systems, this role offers you the opportunity to make a significant impact in the industry.,

Technology->Artificial Intelligence->Computer Vision Job Overview: As a Lead Computer Vision Engineer, you will lead the development and deployment of cutting-edge computer vision models and solutions for a variety of applications including image classification, object detection, segmentation, and more. You will work closely with cross-functional teams to implement advanced computer vision algorithms, ensure the integration of AI solutions into products, and help guide the research and innovation of next-generation visual AI technologies. 2. Technical Skills: Deep Learning Frameworks: Proficiency in TensorFlow, PyTorch, or other deep learning libraries. Computer Vision Tools: Expertise in OpenCV, Dlib, and other image processing libraries. Model Deployment: Experience deploying models to production using platforms such as AWS, Google Cloud, or NVIDIA Jetson (for edge devices). Algorithms: Strong understanding of core computer vision techniques like image classification, object detection (YOLO, Faster R-CNN), image segmentation (U-Net), and feature extraction. Programming Languages: Proficient in Python, C++, and other relevant programming languages for computer vision tasks. Data Handling: Experience working with large datasets, data augmentation, and preprocessing techniques. Optimization: Skills in model optimization techniques such as pruning, quantization, and hardware acceleration (e.g., using GPUs or TPUs). trong working experience in Agile environment - Experience working and understanding of ETL / ELT, Data load process - Knowledge on Cloud Infrastructure and data source integrations - Knowledge on relational Databases - Self-motivated, be able to work independently as well as being a team player - Excellent analytical and problem-solving skills - Ability to handle and respond to multiple stakeholders and queries - Ability to prioritize tasks and update key stakeholders - Strong client service focus and willingness to respond to queries and provide deliverables within prompt timeframes.

Role & responsibilities Full Stack Development: Design, develop, and maintain web applications using Node.js and React. Backend Development: Implement server-side logic, database integration, and API development. Frontend Development: Create responsive and user-friendly interfaces using React. Predictive Modelling & Machine Learning: Develop and integrate machine learning models for predictive analysis. Computer Vision: Utilize OpenCV for image processing and computer vision tasks. Data Structures & Algorithms: Apply advanced data structures and algorithms to optimize performance and solve complex problems. Collaboration: Work closely with cross-functional teams to define, design, and ship new features. Code Quality: Write clean, maintainable, and efficient code, following best practices and coding standards. Testing & Debugging: Perform unit testing, integration testing, and debugging to ensure high-quality software delivery. Documentation: Maintain comprehensive documentation for all development work. Qualification : BE CS or AI Preferred candidate profile AI(Artificial Intelligence) • Node.js and React. • Backend Development • OpenCV Computer vision