Job Title:Artificial Intelligence Engineer Experience8-12 Years Location:Bangalore : Algorithm Development**Design and implement algorithms, neural networks, and other machine learning techniques to simulate human intelligence processes. Model Creation**Develop and validate algorithms, neural networks, and other machine learning models. Generative AI**Specialize in generative AI, which involves creating AI systems that autonomously generate content such as text, images, and music. Machine Learning**Leverage your expertise in machine learning to train models on large datasets and optimize them for creative content generation. Natural Language Processing (NLP)**Apply NLP techniques for text generation projects, including text parsing, sentiment analysis, and the use of transformer models like GPT. Data Management**Handle data pre-processing, augmentation, and synthetic data generation. Qualifications To excel in this role, you should possess the following skills: Hard Skills 1. **Advanced Programming**Proficiency in programming languages such as Python, along with AI-centric libraries like TensorFlow, PyTorch, and Keras. 2. **Generative Models**Expertise in generative models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). 3. **NLP**Familiarity with NLP techniques for text generation. 4. **Data Management**Knowledge of data pre-processing, augmentation, and synthetic data generation. Soft Skills 1. **Creativity**Ability to think creatively and solve complex, creative challenges using AI. 2. **Collaboration**Work effectively with researchers, engineers, and other team members. 3. **Continuous Learning**Stay updated with evolving AI technologies and applications. Qualifications - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related fields. - Proven experience in machine learning, generative AI,

Job Type: Full Time Job Description: We are seeking an experienced AI Engineer with 4-5 years of hands-on experience in designing and implementing AI solutions. The ideal candidate should have a strong foundation in developing AI/ML-based solutions, including expertise in Computer Vision (OpenCV). Additionally, proficiency in developing, fine-tuning, and deploying Large Language Models (LLMs) is essential. As an AI Engineer, candidate will work on cutting-edge AI applications, using LLMs like GPT, LLaMA, or custom fine-tuned models to build intelligent, scalable, and impactful solutions. candidate will collaborate closely with Product, Data Science, and Engineering teams to define, develop, and optimize AI/ML models for real-world business applications. Key Responsibilities: Research, design, and develop AI/ML solutions for real-world business applications, RAG is must. Collaborate with Product & Data Science teams to define core AI/ML platform features. Analyze business requirements and identify pre-trained models that align with use cases. Work with multi-agent AI frameworks like LangChain, LangGraph, and LlamaIndex. Train and fine-tune LLMs (GPT, LLaMA, Gemini, etc.) for domain-specific tasks. Implement Retrieval-Augmented Generation (RAG) workflows and optimize LLM inference. Develop NLP-based GenAI applications, including chatbots, document automation, and AI agents. Preprocess, clean, and analyze large datasets to train and improve AI models. Optimize LLM inference speed, memory efficiency, and resource utilization. Deploy AI models in cloud environments (AWS, Azure, GCP) or on-premises infrastructure. Develop APIs, pipelines, and frameworks for integrating AI solutions into products. Conduct performance evaluations and fine-tune models for accuracy, latency, and scalability. Stay updated with advancements in AI, ML, and GenAI technologies. Required Skills & Experience: AI & Machine Learning: Strong experience in developing & deploying AI/ML models. Generative AI & LLMs: Expertise in LLM pretraining, fine-tuning, and optimization. NLP & Computer Vision: Hands-on experience in NLP, Transformers, OpenCV, YOLO, R-CNN. AI Agents & Multi-Agent Frameworks: Experience with LangChain, LangGraph, LlamaIndex. Deep Learning & Frameworks: Proficiency in TensorFlow, PyTorch, Keras. Cloud & Infrastructure: Strong knowledge of AWS, Azure, or GCP for AI deployment. Model Optimization: Experience in LLM inference optimization for speed & memory efficiency. Programming & Development: Proficiency in Python and experience in API development. Statistical & ML Techniques: Knowledge of Regression, Classification, Clustering, SVMs, Decision Trees, Neural Networks. Debugging & Performance Tuning: Strong skills in unit testing, debugging, and model evaluation. Hands-on experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone). Good to Have: Experience with multi-modal AI (text, image, video, speech processing). Familiarity with containerization (Docker, Kubernetes) and model serving (FastAPI, Flask, Triton).

Key Responsibilities: Assist in the development and maintenance of C++ applications for AI platform functionalities. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Write clean, efficient, and well-documented code following best practices. Participate in code reviews and contribute to team knowledge sharing. Debug and troubleshoot issues in existing applications. Stay updated with the latest industry trends and technologies related to AI/ML and C++ development. Qualifications: Bachelors degree or similar in Computer Science, Software Engineering, or a related field. Minimum of 2 years profession experience in C/C++ programming language and its standard libraries. Familiarity with AI concepts and frameworks (e.g., TensorFlow, PyTorch, llama.cpp) is a plus. Strong problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Excellent communication skills, both verbal and written. Preferred Skills: Experience with version control systems (e.g., Git). Experience in deep learning. Experience with automotive/embedded C++ is a plus.

Key Responsibilities: Design, develop, and optimize high-performance C++ applications for AI/ML platforms. Lead the architecture and implementation of new features and enhancements. Collaborate with cross-functional teams to define project requirements and deliver solutions that meet business needs. Conduct code reviews, provide constructive feedback, and mentor junior developers. Troubleshoot and resolve complex technical issues in existing applications. Stay abreast of industry trends and advancements in AI/ML technologies and C++ development. Contribute to the development of best practices and coding standards within the team. Qualifications: Bachelors or Masters degree in Computer Science, Software Engineering, or a related field. 5+ years of experience in C++ development, with a strong portfolio of projects. Experience in automotive/embedded C++. Extensive knowledge of AI/ML algorithms and frameworks (e.g., TensorFlow, PyTorch, OpenCV). Proven experience in software architecture and design patterns. Strong understanding of performance optimization techniques and memory management in C++. Excellent problem-solving skills and ability to work under pressure. Strong communication skills and ability to work collaboratively in a team environment. Preferred Skills: Experience with parallel programming and multi-threading in C++. Familiarity with cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker). Knowledge of additional programming languages (e.g., Python, Java) is a plus. Experience with version control systems (e.g., Git) and CI/CD pipelines.

We are now looking for an experienced software engineer with strong system software and image/video/graphics/multimedia fundamentals with robust C++ skills to contribute to the development of NVIDIA AI for Multimedia components like NVIDIA Maxine & NVIDIA Broadcast – a comprehensive suite of applications, SDKs and framework that enables different broadcast streaming features. What You’ll Be Doing You will work alongside forward-thinking engineers to implement and optimize software to provide new capabilities in NVIDIA AI for Multimedia components as well as improve the existing features and framework architecture for different GPUs, CPUs and system OS platforms. We'll give you exposure to integrating evolving computer vision SDKs into applications & use cases on different platforms. We would be working on many groundbreaking features and their application that are redefining our industry. We will see features go through the whole cycle - from proof-of-concept to production. Together we will connect with multiple teams in our company, as well as our partners and customers. What We Need To See Proficiency in C++ programming and debugging. You have a knack for full stack development - from implementing frameworks and interfaces to understanding the impact and consequence on the hardware. Passion for optimizing system performance, root causing bottlenecks and optimizing performance on GPU, CPU and memory. Strong knowledge of OS fundamentals and familiarity with device driver stacks. You have the knowledge of usage of at least one graphics or image processing library (Direct3D, Vulkan, OpenGL, OpenCV, etc.) Experience in web streaming technologies like UDP, RTP, secure RTP, gRPC, webRTC. Strong software engineering background and design fundamentals particularly related to creating robust system software. Familiarity with software lifecycle-based processes. Strong communication and analytical skills. Self-motivated, fast to act and eager to learn as well as guide. Bachelor/Master/PhD in Computer Science or Electronics or Electrical Engineering. 6+ years of experience developing systems software on Windows/Linux/iOS. Ways To Stand Out From The Crowd Experience in video conferencing, broadcasting applications and environments. CUDA programming experience. Experience working with camera, mic, speaker devices. Background in working with computer vision, image, video processing systems. Experience of collaborating with geographically diverse multi-functional teams. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most talented and hardworking people on the planet working for us. Are you creative? Are you driven not just by the need to know why, but yearn to ask, 'why not'? And have a real passion for technology, we want to hear from you! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. JR1996218 Show more Show less

DS Group is looking for technical expert with a deep knowledge in AI, machine learning/deep learning and Natural language processing. The individual will focus on addressing in-house business challenges to optimize operations and reduce costs, thereby increasing revenue. Job Title : Member Technical Staff Role & Responsibilities Research, develop and deliver products for Industry using machine learning/ computer vision and generative AI tools and algorithms. Skills & Competencies In-depth knowledge of machine learning concepts, algorithms and applications. Knowledge in Generative AI, LLMs. Experience in developing machine learning solutions to Industry. Experience in Object Detection algorithms like YOLO, SSD etc Coding experience in Python. Candidate can build and deploy advanced AI solutions, leveraging tools (like Tensorflow, CUDA toolkit, PyTorch, OpenCV or similar tools) to address complex data and computational challenges. Enthusiastic, Great Attitude, and eager to learn The desired candidate should be a quick thinker and should have a track record of high performance product development. The candidate should be of innovative, hard-working and result oriented. Research experience is preferred. Qualification Experience – 2-4 years Education – B.Tech Degree in CSE or similar field. Master’s degree is a plus. Show more Show less

Title: Robotics Engineer Location: Pune About Peppermint Robotics Peppermint is an autonomous robotics company co-started out of SINE IIT-Bombay and supported by Qualcomm. With a focused goal of expediting the advent of service robots, Peppermint designs and makes commercial housekeeping robots from its factory in Pune and works across from its offices in Pune, Mumbai, Bangalore, Dubai and Austin. Overview As a Robotics Engineer at Peppermint Robotics, you'll have the opportunity to gain valuable hands-on experience in a cutting-edge robotics company. We are seeking a talented and detail-oriented individual who possesses attention to detail, proactive communication, to plan within the available resources and is self driven. Qualification Bachelor's degree in Robotics, Computer science, Electrical engineering, or related field. What The Work Looks Like Develop and deploy algorithms for navigation, path planning, and computer vision. Conduct research and stay up-to-date with the latest advancements in the field of robotics Collaborate with diverse teams to integrate robotic systems. Develop a deep understanding of various sensors, including 2D/3D lidars and cameras. Optimize algorithms for real-time performance. Engage in hands-on tasks related to robotic hardware, such as system setup, calibration, and debugging. Test robotic systems in both simulated and real-world scenarios. Experience And Skills / Qualities We Deeply Value 3+ years of relevant industry experience Passion for developing software for world-class robots. Excellent C++ programming and software design skills to support high-performance perception. Experience with Python is a plus. Experience with ROS1 and/or ROS2. Hands-on experience with SLAM, robot navigation, and behavior planning Hands-on experience with OMPL or similar frameworks Hands-on experience with OpenCV, PCL/Open3D Hands-on experience with real robots and perception sensors such as time-of-flight cameras, 2D/3D LIDAR, and stereo cameras. Experience with different communication protocols such as modbus, CAN bus, UART, etc. Demonstrates a strong sense of curiosity and an eagerness to learn new concepts, technologies, and methodologies. Good To Have Experience with GTSAM/Ceres/Symforce/Casadi Experience with Pytorch, TensorFlow, OpenCL, and CUDA Knowledge of Rust for computer vision and/or otherwise. Experience with OpenVINO Understanding of different planning algorithms. What To Expect At Peppermint, we value authenticity, clear communication, and a willingness to ask questions. We believe in supporting each team member's career journey and fostering a culture that drives our mission forward. We hope you share our passion for our purpose and are excited to get started! Prepare yourself for the experience of a lifetime as you work on a product that is truly world-class. This journey will be both rewarding and challenging, pushing you to your limits to deliver the best possible results. You'll be joining a league of talented individuals who are passionate about what they do and who strive for excellence every day. Work Culture We are a process and innovation-oriented team, with domain experts working together to build world class robots and technologies. We care for intent, attitude and collaboration over just results and work. Our culture stands for trust, authenticity, clear communication, first principles thinking and emphasis to “ask” anything! We care deeply for every team member’s career and personal journey and the culture which propels it forwards. We do expect you to explore the underlying purpose and mission at helm @ Peppermint Robotics which drives us onwards and forwards! Next Steps If this role aligns with your personal career plans, please write to us with you resume / profile to allen.louis@peppermintrobotics.com Skills: cuda,slam,ros2,opencv,pcl,stero cameras,robot navigation,uart,ros1,python,ros,time-of-flight cameras,can bus,opencl,stereo cameras,lidar,open3d,ompl,modbus,behavior planning,c++,robotics,2d/3d lidar Show more Show less

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. Who We Are ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with datasolutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of theindustry and we want you to join us on our journey. ACV’s network of brands includes ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services. ACV Auctions is opening its new India Development Center in Chennai, India, and we’re looking for talented individuals to join our team. As we expand our platform, we’re offering a wide range of exciting opportunities across various roles. At ACV, we put people first and believe in the principles of trust and transparency. If you are looking for an opportunity to work with the best minds in the industry and solve unique business and technology problems? Look no further! Join us in shaping the future of the automotive marketplace! At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer industry leading benefits and wellness programs. Who We Are Looking For Monk is leading the way in AI-driven innovation with its advanced damage detection technology for vehicles, enabling seamless integration into web and native applications via APIs. Our machine learning expertise is trusted by global leaders like our parent company ACV Auctions (USA), CAT Logistics (Europ Getaround (France), Autobiz (Europe), and Hgreg (Canad We are looking for a Machine Learning Scientist in Computer Vision who thrives on taking ownership, delivering impactful results, and driving innovation. If you're someone who can align with business needs, ensure timely delivery, and elevate the team's capabilities, we’d love to have you on board. This role is your opportunity to lead game-changing projects, create tangible value, and shape the future of AI technology in the automotive space. What You Will Do Own the end-to-end development of machine learning models and datasets to solve critical business challenges and meet product needs. Drive innovation by continuously tracking and integrating state-of-the-art advancements of computer vision and deep learning into Monk’s AI solutions Identify and solve key business problems with data-driven, actionable insights. Deliver high-impact results through meticulous planning, rigorous testing, and smooth deployment of machine learning solutions. Mentor and support junior team members, cultivating a culture of excellence and collaboration. Machine Learning Scientist CV Collaborate with product, business, and technical teams to align on priorities, estimate efforts, and adapt to feedback. Ensure long-term reliability and scalability through robust documentation and testing practices. Tech Stack Utilized Languages: Python, SQL Libraries/Frameworks: PyTorch ecosystem, a touch of OpenCV and Scikit-learn Tools: Jupyter, DBT, Docker Infrastructure: GCP, Kubernetes, BigQuery Version Control: GitHub Background And Skills Required Skills 5+ years of experience in computer vision, data science or related fields, wit a proven track record of delivering impactful results. Strong foundation in machine learning, computer science, statistical modeling, and data processing pipelines. Proficiency in Python and SQL for data manipulation and model development. Solid experience deploying machine learning models into production environments. A proactive approach to aligning with business needs and driving team-wide innovation. Strong communication skills to explain technical concepts to non-technical stakeholders. Fluent in English, enabling effective collaboration across global teams. Desired Background Master’s or Ph.D. in Data Science, Computer Science, or a related field Experience in B2B SaaS, automotive technology, or AI-driven startups. Knowledge of working with distributed teams across time zones. A proactive mindset, with the ability to work autonomously in fast-paced environments. Our Values Trust & Transparency | People First | Positive Experiences | Calm Persistence | Never Settling At ACV, we are committed to an inclusive culture in which every individual is welcomed and empowered to celebrate their true selves. We achieve this by fostering a work environment of acceptance and understanding that is free from discrimination. ACV is committed to being an equal opportunity employer regardless of sex, race, creed, color, religion, marital status, national origin, age, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires reasonable accommodation, please let us know. Show more Show less

Greetings From Pranathi Software Services Pvt Ltd!!! We have vacancies for Data Scientist position in our organization. 📌 Experience: 3+ years 📌 Location: Hyderabad(Onsite) 📌 Timings: 12PM to 9PM Required Skills & Qualifications: Programming: Proficiency in Python. Machine Learning & Deep Learning: Strong experience in developing and deploying ML/DL models. NLP: Expertise in working with NLP frameworks such as Hugging Face Transformers, SpaCy, NLTK, etc. Computer Vision: Experience with OpenCV, TensorFlow, PyTorch, or other relevant frameworks. Generative AI: Hands-on experience with LLMs, diffusion models, GANs, VAEs, and other generative techniques. Transformers & RAG: Strong understanding of transformer architectures (BERT, GPT, LLAMA, etc.) and retrieval-augmented generation methods. Prompt Engineering: Ability to design, optimize, and implement effective prompts for AI applications. Django: Experience in building and maintaining backend services and APIs. Database Management: Proficiency in MySQL and NoSQL databases for efficient data handling. REST API Development: Experience in developing and integrating APIs for AI-powered applications. Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and deployment tools like Docker & Kubernetes. Looking for Immediate Joiners. If interested please share your updated resume at harish@pranathiss.com Show more Show less

*Machine Learning Lead – LLMs, GenAI & Conversational AI* Noida (Sector 63) – Hybrid (office-based role) * *2+ years* hands-on in LLM / Generative AI * *5+ years* overall in AI/ML or IT Full-time 🔍 About the Role Jupiter AI Labs is looking for a *Machine Learning Lead* to spearhead development and deployment of cutting-edge AI solutions across NLP, Vision, and Speech. You’ll architect LLM & agentic-AI pipelines, build conversational agents, own CI/CD deployments, mentor junior engineers, and liaise directly with clients and stakeholders. 🧩 Key Responsibilities * *End-to-end LLM Solutions*: Lead design, fine-tuning & deployment of chatbots, multi-agent (A2A/MCP) workflows. * *Open-Source Model Integration*: Architect pipelines with Llama2, Mistral, Claude, GPT-series via Hugging Face, LangChain, etc. * *AI Agent Orchestration*: Build automations with N8N / Make.com / LangGraph. * *Conversational AI*: Develop assistants using Botpress, Rasa, Azure Bot Framework, AWS Lex. * *Speech & Vision*: Integrate ASR (Whisper, Coqui), TTS engines, and OCR models (Tesseract, PaddleOCR). * *Full-Stack ML APIs*: Develop FastAPI/Flask services, integrate into React/Node.js front ends. * *Cloud CI/CD*: Deploy scalable models on AWS/Azure/GCP, automate via Docker, Terraform, GitHub Actions. * *Team Leadership*: Mentor ML engineers, run daily standups, produce status reports. * *Client Engagement*: Represent Jupiter AI Labs in technical reviews, manage stakeholder expectations, deliver project documentation. --- ## 🛠️ Required Skills & Experience * 2+ years in *LLM / Generative AI* (prompt-engineering, fine-tuning, RAG). * Proficient with *Hugging Face*, LangChain, Transformers, vector databases. * Hands-on with *agentic AI* tools (LangGraph, CrewAI) and A2A/MCP pipelines. * Experience building *conversational agents* (Rasa, Botpress, Azure Bot, Lex). * Expertise in *ASR* and *TTS* integrations (Whisper, commercial APIs). * OCR modeling (Tesseract, PaddleOCR, Google Vision API). * Full-stack ML API development (FastAPI/Flask + React or Node). * Cloud deployment & CI/CD on AWS/Azure/GCP (Docker, Kubernetes, Terraform). * Workflow automation with *N8N*, Make.com, or Zapier. * Computer Vision experience (YOLO, OpenCV, custom CNNs). * Strong understanding of *MLOps* practices, version control, and monitoring. * Proven track record running daily standups, reporting, and mentoring. --- ## 🌟 Soft Skills * Exceptional verbal & written English communication. * Collaborative leadership in cross-functional teams. * Highly organized, proactive, and deadline-driven. * Ability to train freshers and manage junior engineers. * Strong stakeholder management and client-facing presence. --- ## 🎓 Preferred Qualifications * B.Tech / M.Tech / Ph.D. in Computer Science, AI, or related field. * Open-source contributions (GitHub, Hugging Face Spaces). * Certifications in AI/ML (AWS, Google Cloud, etc.). --- ## 🎁 What We Offer * Exposure to breakthrough LLM, CV, ASR & GenAI projects. * Ownership of end-to-end architecture and experiments. * Fast-paced, learning-driven culture. * Competitive salary + performance bonuses. * Medical insurance, flexible work hours, and career growth path. *To apply, please share your resume, answers to the screening questions, and links to any relevant GitHub or project portfolios to hr@juppiterailabs.com ( binni@juppiterailabs.com)**. We look forward to building the future of AI together! Show more Show less

Job Title: AI/ML Developer Job Description We are seeking a talented AI/ML Developer with expertise in Machine Learning and Deep Learning. This role requires a strong understanding of machine learning frameworks and deep learning models, along with specialization in either Large Language Models (LLMs) or Computer Vision. The ideal candidate will possess programming proficiency in Python and have experience with a variety of libraries and deployment tools. Responsibilities Develop and implement machine learning models, focusing on deep learning architectures such as CNNs, RNNs, Transformers, and GANs. Specialize in either Large Language Models (LLMs) or Computer Vision applications. Analyze and preprocess structured and unstructured datasets to identify potential AI/ML use cases. Design, build, train, and deploy machine learning models using cloud platforms like AWS, GCP, or Azure. Optimize model performance and scalability in production environments using tools such as Docker and Kubernetes. Solve complex AI/ML problems efficiently and effectively. Essential Skills Strong expertise in machine learning frameworks, including TensorFlow. Proficiency in Python and libraries like NumPy, OpenCV, Hugging Face, and Scikit-learn. Experience in deploying models on cloud platforms and using deployment tools such as Docker and Kubernetes. Proven track record of solving complex AI/ML problems. Additional Skills & Qualifications Experience in analyzing and preprocessing data to develop AI/ML use cases. Ability to design and deploy models for NLP applications using Large Language Models. Capability to build models for image recognition, object detection, and video analytics in Computer Vision. Work Environment This position offers an innovative work environment where cutting-edge technologies are utilized to develop advanced AI/ML solutions. The role involves collaboration with cross-functional teams and requires adaptability to dynamic project requirements. The work setting encourages continuous learning and application of machine learning techniques. About Actalent Actalent is a global leader in engineering and sciences services. For more than 40 years, we’ve helped visionary companies advance their goals. Headquartered in the United States, our teams span 150 offices across North America, EMEA, and APAC—with four delivery centers in India led by 1,000+ extraordinary employees who connect their passion with purpose every day. Our Bangalore, Hyderabad, Pune, and Chennai delivery centers are hubs of engineering expertise, with core capabilities in mechanical and electrical engineering, systems and software, and manufacturing engineering. Our teams deliver work across multiple industries including transportation, consumer and industrial products, and life sciences. We serve more than 4,500 clients, including many Fortune 500 brands. Learn more about how we can work together at actalentservices.com. Show more Show less

About BeGig 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 Opportunity Join 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 Overview As a Computer Vision Engineer, you will: Design, train, and deploy computer vision models for specific business applications Work with image, video, or 3D data to extract insights and automate workflows Collaborate with teams to integrate CV models into scalable products What You’ll Do Build and fine-tune models for classification, detection, segmentation, tracking, or OCR Use libraries like OpenCV, PyTorch, TensorFlow, Detectron2, or YOLO Preprocess and augment datasets to improve model robustness Deploy models using APIs, edge devices, or cloud-based inference tools Monitor performance and continuously optimize for accuracy and speed Technical Requirements 3+ years of experience in computer vision or deep learning Proficient in Python and frameworks like PyTorch, TensorFlow, or Keras Experience with OpenCV, scikit-image, and image/video processing pipelines Familiarity with model deployment using ONNX, TensorRT, or cloud services Bonus: experience with real-time CV, synthetic data, or 3D vision What We’re Looking For A hands-on developer who can take vision-based problems from idea to production A freelancer who enjoys working with data-rich products and diverse use cases Someone who can collaborate with both technical and product teams to deliver real impact Why Join Us Work on challenging computer vision projects across industries Fully remote and flexible freelance opportunities Get matched with future roles in CV, AI, and edge deployment Join a growing network solving real-world problems with intelligent vision systems Ready to bring vision to life? Apply now to become a Computer Vision Engineer with BeGig. Show more Show less

FairAds AI is at the forefront of revolutionizing advertising. We're seeking a highly motivated Machine Learning Engineer / Deep Learning Engineer Intern to join our pioneering team for an immediate start in Mumbai, Maharashtra, India. This is a paid, in-person position . You'll dive deep into developing and deploying, DPDP-compliant ML/DL models for real-time analytics. This is a unique opportunity to work on impactful projects involving Computer Vision, real-time data processing, and privacy-preserving AI. What You'll Help Build & Responsibilities * Develop & Implement ML/DL Models: Design, train, and fine-tune models like YOLO, DeepSORT, and DeepFace for tasks such as impression counting, dwell time analysis, and anonymized demographic analysis. * Advanced Computer Vision Tasks: Apply your OpenCV and CV knowledge for object detection, tracking, pose estimation, and image segmentation on real-world video streams. * Data Preprocessing & Management: Handle raw camera data, including cleaning, annotation, and implementing anonymization techniques (e.g., blurring, feature embeddings) to ensure DPDP Act compliance. Manage datasets using tools like DVC or cloud storage. * Edge Computing & Deployment: Optimize and deploy models on edge devices (e.g., NVIDIA Jetson, Raspberry Pi), managing real-time processing pipelines and considering power/thermal constraints. * Real-Time Analytics: Design streaming data pipelines for video feeds and optimize inference speed (e.g., using TensorRT) to deliver low-latency KPIs. * Privacy by Design: Actively contribute to building privacy-preserving ML pipelines, understanding DPDP Act principles (data minimization, consent, purpose limitation) and implementing secure data handling. * Containerization & CI/CD: Utilize Docker to package and deploy models consistently. Contribute to CI/CD pipelines for automated testing and deployment. Core Technical Skills We're Looking For * Python Programming: Proficiency in Python for ML/DL development, including libraries like PyTorch, TensorFlow, OpenCV, NumPy, Pandas, and Matplotlib. Ability to write modular, reusable code. * Machine Learning & Deep Learning: Strong understanding of supervised/unsupervised learning, neural networks (CNNs), architectures (YOLO, ResNet, ViT), transfer learning, loss functions, optimizers, and regularization. * Computer Vision: Expertise with OpenCV for image/video processing, object detection, tracking, and pose estimation. Experience handling real-time video streams. * Data Preprocessing: Skills in data cleaning, transformation, annotation, and implementing anonymization techniques. Key Domain-Specific & Deployment Skills Needed * Edge Computing: Experience or strong interest in optimizing models (pruning, quantization) for resource-constrained edge hardware (NVIDIA Jetson, Raspberry Pi) and managing real-time edge processing. * Real-Time Analytics: Ability to design streaming data pipelines and optimize for low-latency inference. * Docker & Containerization: Writing Dockerfiles and managing containers for ML model deployment. * Edge Device Deployment: Configuring edge hardware (CUDA, cuDNN), managing cross-compilation, monitoring, and potentially OTA updates. * Version Control & CI/CD (Git, GitHub Actions/Jenkins): Experience with versioning code and models (MLflow, DVC) and automation. * Cloud Integration (Optional but valued): Familiarity with AWS, Azure, or GCP for aggregating anonymized KPIs or model training. API development (Flask/FastAPI) is a plus. Soft Skills for Success * Problem-Solving & Analytical Thinking: Ability to tackle complex challenges in model performance. * Attention to Detail: Meticulous approach to data handling, model accuracy, and compliance requirements. * Pro Vibe Coder: You're someone who can skillfully navigate and debug code, especially code that might have been initially generated or assisted by AI, ensuring its robustness and efficiency. What We Offer * Pioneering Projects: Work on groundbreaking analytics solutions using advanced AI and edge computing. * Hands-on Experience: Gain invaluable experience with the full lifecycle of ML models – from conception to deployment on edge devices. * Mentorship: Learn from experienced professionals in AI, Computer Vision, and privacy-preserving technologies. * Impactful Contribution: Directly contribute to building a more intelligent and compliant ecosystem. Show more Show less

About Client- My client is a market leading company with over 30 years of experience in the industry. As one of the world’s leading professional services firms, with $19.7B, with 333,640 associates worldwide, helping their clients modernize technology, reimagine processes, and transform experiences, enabling them to remain competitive in our fast-paced world. Their Specialties in Intelligent Process Automation, Digital Engineering, Industry & Platform Solutions, Internet of Things, Artificial Intelligence, Cloud, Data, Healthcare, Banking, Finance, Fintech, Manufacturing, Retail, Technology, and Salesforce Job Details:- Position: AI/ML Developer Experience Required: 7 to 10 Years Notice: immediate to 15 Days Salary: Open Work Location: Hyderabad Mode Of Work: Hybrid Type of Hiring: Contract Project Tenure: Long-term project with no tenure limit Key Focus Areas:- Image Analytics & Computer Vision (CV) Machine Learning & Deep Learning Predictive Analytics & Optimization Generative AI (GenAI) & NLP (as secondary skills) Primary Responsibilities: Lead and contribute to projects centered around image analytics, computer vision , and visual data processing . Develop and deploy CV models for tasks such as object detection, image classification, pattern recognition, and anomaly detection. Apply deep learning frameworks (e.g., TensorFlow, Keras) to solve complex visual data challenges. Integrate multi-sensor data fusion and multivariate analysis for industrial applications. Collaborate with cross-functional teams to implement predictive maintenance , fault detection , and process monitoring solutions using visual and sensor data. Mandatory Skills: Strong hands-on experience in Computer Vision and Image Analytics . Proficiency in Python and familiarity with AI/ML libraries such as OpenCV, TensorFlow, Keras, scikit-learn, and Matplotlib. Solid understanding of machine learning techniques : classification, regression, clustering, anomaly detection, etc. Experience with deep learning architectures (CNNs, autoencoders, etc.) for image-based applications. Familiarity with Generative AI and LLMs is a plus. Desirable Skills: Knowledge of optimization techniques and simulation modeling . Domain experience in Oil & Gas, Desalination, Motors & Pumps, or Industrial Systems . Show more Show less

*Only Immediate Joiners are Preffered* Job Description: As a GenAl Intern, you will work on developing and fine-tuning advanced Al models, exploring Generative Al (GenAl), Large Language Models (LLMs), Deep Learning, and Computer Vision applications. You will gain hands-on experience with state-of-the-art Al tools and frameworks while working alongside experienced Al professionals. Key Responsibilities: Work on Generative Al models, fine-tuning pre-trained LLMs (eg, GPT, BERT, LLAMA). limplement and optimize Deep Learning and Computer Vision models. Utilize TensorFlow, PyTorch, Hugging Face Transformers, LangChain, and related frameworks. Develop and train models for Object Detection and Image Recognition using YOLO, OpenCV. Conduct research and experiment with prompt engineering and model optimization techniques. Collaborate with the development team to integrate Al models into real-world applications. Who Can Apply? We are looking for candidates who: Are available for a 6-month internship. Have completed projects in GenAl, Deep Learning, and Computer Vision. Have a strong understanding of LLMs, Transformers, NLP, and Image Processing. Are proficient in Python, TensorFlow, PyTorch, and OpenCV Are passionate about Al arid eager to learn and innovate. Perks & Benefits: Certificate & Letter of Recommendation upon completion. Flexible Work Hours-Work at your convenience. Exposure to Cutting Edge Al Technologies Collaborative Learning Environment with industry experts. Mode: Work from the office Industry: IT Services and IT Consulting Address: Ai India Innovations, Office no.405, Above Just In Time, Landmark Centre, Survey No 46/1B, Plot No 2, Satara Rd, Opposite City Pride Theater, Pune, Maharashtra-411009 https://maps.app.goo.gl/sES1ky6SiFVVeXRG7?g_st=ac Job Types: Full-time, Internship Contract length: 6 months Pay: ₹5,000.00 - ₹7,000.00 per month Schedule: Day shift Experience: Deep learning: 1 year (Required) Computer vision: 1 year (Required) Location: Pune, Maharashtra (Required) Work Location: In person

Job Title: Computer Vision / Deep Learning Engineer Location: Hyderabad, India Experience: Minimum 2 years Employment Type: Full-time Position Overview: We are seeking a Computer Vision / Deep Learning Engineer to join our innovative and fast-paced R&D team. In this role, you will develop cutting-edge vision algorithms for real-time military applications . From early-stage prototyping to embedded system deployment, you will help drive solutions that perform reliably in dynamic and challenging environments. Key Responsibilities: Design and implement deep learning and traditional computer vision algorithms for object detection, segmentation , and multi-object tracking . Translate academic research into scalable, real-world applications for embedded and resource-constrained systems . Develop complete pipelines including data acquisition, model training, evaluation , and deployment . Collaborate with embedded engineers and robotics teams to fine-tune models for field conditions. Participate in agile development practices —sprint planning, code reviews, and integration testing. Continuously optimize models for accuracy, robustness , and low-latency inference on edge devices. Core Technical Skills: Strong programming skills in Python and C++ . Proficient in PyTorch, TensorFlow, OpenCV , and other related libraries. Solid knowledge of image classification, object detection, segmentation, and tracking techniques. Experience with embedded AI deployments on platforms like NVIDIA Jetson, ARM Cortex , etc. Familiarity with performance optimization , quantization , and model pruning for edge inference. Experience with version control (Git) and CI/CD pipelines . Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Electronics, Artificial Intelligence , or a related field. Minimum 2 years of hands-on experience in computer vision and deep learning . Strong understanding of model evaluation metrics , dataset management , and reproducibility best practices . Show more Show less

Job Title: IOS Mobile Application Developer Location: Hyderabad Role We are seeking a highly skilled iOS Developer to lead the development of a native iPhone application for intelligent IP camera configuration, video streaming, AI-driven object detection/classification, and real-time augmented overlays. You will work closely with our hardware and AI teams to deliver a cutting-edge mobile solution that integrates video, geolocation, and on-device AI inference. Key Responsibilities Develop a native iOS app to connect and configure IP camera over factory default Wi-Fi settings (hotspot mode). Enable RTSP streaming from the camera and display live video feed on the iPhone. Implement video recording functionality with dynamic folder selection and clip segmentation (5-minute duration). Integrate GPS module to geotag each video clip with the latest detected coordinates. Provide options for cloud sync to Google Drive and iCloud Drive. Deploy and optimize AI models (object detection and classification) using iPhone's GPU/NPU (CoreML/Metal). Integrate a proprietary depth-sensing algorithm and overlay depth + object classification on the live video using alpha channels. Implement support for over-the-air app updates via App Store deployment. Provide support for downloading camera firmware SDKs, applying patches, and updating camera firmware securely through the app. Required Skills And Qualifications 5+ years of iOS app development experience using Swift and Objective-C. Strong experience with AVFoundation, RTSP streaming, and video recording workflows. Proven expertise in CoreML, Metal, or TensorFlow Lite for iOS. Experience integrating GPS and geotagging capabilities. Solid understanding of cloud storage APIs like Google Drive and iCloud Drive. Familiarity with iOS background processing, file handling, and camera SDK integration. Strong UI/UX skills to render overlays (e.g., bounding boxes, labels, depth info) on real-time video. Experience publishing apps to the App Store and handling OTA updates. Knowledge of firmware update pipelines or SDK patching is a strong plus. Preferred Qualifications Experience with on-device AI model inference optimization. Familiarity with OpenCV, Core Location, SwiftUI, or ARKit is a plus. Prior experience with IoT/embedded camera systems and firmware integration. Ability to write modular, testable, and scalable code. Skills: core animation,ios frameworks,application,agile methodologies,core data,restful apis,core graphics,git,swift,core text,objective-c,automated testing,ios,design,mobile Show more Show less

Job Title: AI Engineer – AI, Automation & ML Location: Remote (India) Work Hours: Flexible Employment Type: Full-time | Remote Experience Required: 3+ years in AI Engineering, Automation, ML, and System Integration About The Role We are seeking a skilled and innovative AI Engineer with a strong background in artificial intelligence, automation, machine learning (ML) , and system integration . This remote role based in India is ideal for tech-savvy professionals who can architect, build, and deploy intelligent systems and automation solutions. The ideal candidate will have experience working on end-to-end AI/ML solutions, integrating APIs, automating workflows, and scripting in Python or similar languages. You will collaborate with cross-functional teams to design and deliver impactful AI-powered solutions that drive efficiency and business value. Key Responsibilities Design, develop, and implement AI/ML models and intelligent automation solutions tailored to business needs. Build and deploy scalable data pipelines and automation scripts using Python or similar tools. Integrate AI systems with existing IT infrastructure and business applications via APIs and custom solutions. Evaluate and apply appropriate AI/ML frameworks, algorithms, and tools for use cases such as NLP, computer vision, recommendation systems, etc. Monitor model performance, retrain models, and improve algorithms for reliability and efficiency. Collaborate with product managers, data engineers, and DevOps teams to ensure seamless deployment and scaling. Write clean, maintainable, and well-documented code following industry best practices. Required Qualifications 3+ years of hands-on experience in AI/ML engineering and automation. Proficiency in programming languages such as Python, R, or JavaScript, with strong scripting capabilities. Solid understanding of ML libraries and frameworks like TensorFlow, PyTorch, Scikit-learn, Keras, OpenCV, etc. Experience with system integration, RESTful APIs, and data pipelines. Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps practices. Strong analytical and problem-solving skills with the ability to troubleshoot complex systems. Must have a dedicated home workspace and a reliable laptop with high-speed internet connectivity. Comfortable working during North American hours (7:30 PM – 5:30 AM IST). Preferred Qualifications Experience with automation platforms (e.g., UiPath, Power Automate, Zapier). Background in deploying AI/ML models in production environments. Exposure to containerization (Docker, Kubernetes) and version control (Git). Knowledge of database technologies (SQL, NoSQL). What We Offer Competitive compensation package. Remote-first work culture. Opportunity to work on cutting-edge AI initiatives with global clients. Professional development and learning opportunities. Collaborative and innovative work environment. If you're passionate about AI, love solving real-world problems, and thrive in a remote setup, we’d love to hear from you! Apply now and help us shape the future of intelligent automation. Show more Show less

We are looking for a passionate and skilled AI/ML Developer with 4 to 9 years of experience to join our team in Kolkata. The ideal candidate will have hands-on experience in building and deploying AI/ML models, with strong proficiency in Python, machine learning frameworks, and a solid understanding of modern development practices. Role & responsibilities Design, develop, and deploy machine learning and AI solutions for business needs. Work with Generative AI models, Whisper (Speech-to-Text/Text-to-Speech), and NLP-based chatbot solutions. Build and maintain scalable and reliable AI model pipelines. Collaborate with cross-functional teams using Agile methodologies. Perform data preprocessing, feature engineering, and model tuning. Deploy models to production environments and monitor performance. Integrate AI/ML solutions into web applications using technologies such as React.js, Oracle APEX, Oracle JET, and HTML5. Participate in system design and apply software engineering best practices including design patterns and testing. Preferred candidate profile AI/ML & Data: Machine Learning, Deep Learning Generative AI, Whisper (Speech-to-Text/Text-to-Speech) Chatbot Development, Natural Language Processing (NLP) AI Model Deployment (cloud/on-premise) Programming & Frameworks: Proficient in Python Experience with TensorFlow, PyTorch Frontend/Backend & Scripting: React.js, HTML5 Oracle APEX, Oracle JET Linux Shell Scripting Tools & DevOps: Docker, Git, Jira Methodologies: Agile Development System Design, Design Patterns Preferred Qualifications: Bachelors/Master’s degree in Computer Science, Engineering, or a related field. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Experience working in a product or R&D environment is a plus.

We're looking for an experienced AI/ML Technical Lead to architect and drive the development of our intelligent conversation engine. Youll lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. This is a foundational hire for a technically ambitious platform. Role & responsibilities AI System Architecture: Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration. Model Integration & Prompt Engineering: Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retrieval-augmented generation (RAG) pipelines for contextual responses. Data Pipelines & Knowledge Management: Build secure data pipelines to ingest, embed, and serve tenant-specific knowledge bases (FAQs, scripts, product docs) using vector databases (e.g., Pinecone, Weaviate). Voice & Text Interfaces: Implement and optimize multimodal agents (text + voice) using ASR (e.g., Whisper), TTS (e.g., Polly), and NLP for automated qualification and call handling. Conversational Flow Orchestration: Design dynamic, stateful conversations that can take actions (e.g., book meetings, update CRM records) using tools like LangChain, Temporal, or n8n. Platform Scalability: Ensure models and agent workflows scale across tenants with strong data isolation, caching, and secure API access. Lead a Cross-Functional Team: Collaborate with backend, frontend, and DevOps engineers to ship intelligent, production-ready features. Monitoring & Feedback Loops: Define and monitor conversation analytics (drop-offs, booking rates, escalation triggers), and create pipelines to improve AI quality continuously. Preferred candidate profile Qualifications Must-Haves: 5+ years of experience in ML/AI, with at least 2 years leading conversational AI or LLM projects. Strong background in NLP, dialog systems, or voice AI preferably with production experience. Experience with OpenAI, or open-source LLMs (e.g. LLaMA, Mistral, Falcon) and orchestration tools (LangChain, etc.). Proficiency with Python and ML frameworks (Hugging Face, PyTorch, TensorFlow). Experience deploying RAG pipelines, vector DBs (e.g. Pinecone, Weaviate), and managing LLM-agent logic. Familiarity with voice processing (ASR, TTS, IVR design). Solid understanding of API-based integration and microservices. Deep care for data privacy, multi-tenancy security, and ethical AI practices. Nice-to-Haves: Experience with CRM ecosystems (e.g. Salesforce, HubSpot) and how AI agents sync actions to CRMs. Knowledge of sales pipelines and marketing automation tools. Exposure to calendar integrations (Google Calendar API, Microsoft Graph). Knowledge of Twilio APIs (SMS, Voice, WhatsApp) and channel orchestration logic. Familiarity with Docker, Kubernetes, CI/CD, and scalable cloud infrastructure (AWS/GCP/Azure). What We Offer Founding team role with strong ownership and autonomy Opportunity to shape the future of AI-powered sales Flexible work environment Competitive salary Access to cutting-edge AI tools and training resources Post your resume and any relevant project links (GitHub, blog, portfolio) to career@sourcdeskglobal.com. Include a short note on your most interesting AI project or voicebot/conversational AI experience.

We are seeking a highly skilled, hands-on Machine Learning Engineer/Data Scientist with a robust background in developing, coding, and deploying advanced ML models. The ideal candidate will have demonstrable expertise in computer vision, object detection, object tracking, and NLP, with a proven track record of writing production-grade code and developing state-of-the-art models to solve complex business challenges. Key Responsibilities: End-to-End ML Pipeline Development: Design, code, test, and deploy robust machine learning pipelinesfrom data collection and preprocessing to model training and production deployment. Computer Vision & Object Detection: Develop and fine-tune algorithms for computer vision applications using tools like Ultralytics YOLO and OpenCV, with hands-on experience in object detection and object tracking. NLP Model Development: Build and optimize NLP models for tasks such as text analysis, sentiment analysis, and language processing using frameworks like Hugging Face Transformers or spaCy. Cloud-Based Model Deployment: Utilize Google Cloud services, particularly Vertex AI, for scalable model development, training, testing, and deployment. Code Quality & Optimization: Write clean, modular, and efficient code; perform debugging, code reviews, and performance tuning to ensure scalable and maintainable codebases. Collaboration & Integration: Work closely with data engineering and software development teams to integrate ML models into production environments and ensure seamless deployment. Continuous Improvement: Stay up-to-date with the latest advancements in machine learning and AI, integrating new technologies and methods as appropriate. Documentation & Best Practices: Maintain thorough documentation of code, methodologies, and experiments, adhering to industry best practices and MLOps principles. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of professional experience in data science and machine learning with a strong emphasis on hands-on coding and model development. Advanced proficiency in Python, and extensive experience with ML libraries and frameworks such as TensorFlow, PyTorch, OpenCV, and Ultralytics YOLO. Demonstrable expertise in developing and deploying computer vision models (object detection and tracking) and NLP solutions. Hands-on experience with cloud platforms, especially Google Cloud (Vertex AI), for scalable ML model training and deployment. Strong analytical, debugging, and performance optimization skills, with a commitment to high-quality code and software engineering best practices. Familiarity with data annotation platforms (e.g., Roboflow) and experience in integrating these into model development workflows. Excellent communication and collaboration skills to work effectively in cross-functional teams. Preferred Skills: Experience with MLOps practices and CI/CD pipelines for machine learning. Familiarity with big data technologies and distributed computing frameworks. Contributions to open-source projects or publications in relevant fields. Expertise in model interpretability, monitoring, and performance tuning in production environments. (Hands-On Coding & Model Development)

We are seeking a highly skilled, hands-on Machine Learning Engineer/Data Scientist with a robust background in developing, coding, and deploying advanced ML models. The ideal candidate will have demonstrable expertise in computer vision, object detection, object tracking, and NLP, with a proven track record of writing production-grade code and developing state-of-the-art models to solve complex business challenges. Key Responsibilities: End-to-End ML Pipeline Development: Design, code, test, and deploy robust machine learning pipelinesfrom data collection and preprocessing to model training and production deployment. Computer Vision & Object Detection: Develop and fine-tune algorithms for computer vision applications using tools like Ultralytics YOLO and OpenCV, with hands-on experience in object detection and object tracking. NLP Model Development: Build and optimize NLP models for tasks such as text analysis, sentiment analysis, and language processing using frameworks like Hugging Face Transformers or spaCy. Cloud-Based Model Deployment: Utilize Google Cloud services, particularly Vertex AI, for scalable model development, training, testing, and deployment. Code Quality & Optimization: Write clean, modular, and efficient code; perform debugging, code reviews, and performance tuning to ensure scalable and maintainable codebases. Collaboration & Integration: Work closely with data engineering and software development teams to integrate ML models into production environments and ensure seamless deployment. Continuous Improvement: Stay up-to-date with the latest advancements in machine learning and AI, integrating new technologies and methods as appropriate. Documentation & Best Practices: Maintain thorough documentation of code, methodologies, and experiments, adhering to industry best practices and MLOps principles.Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of professional experience in data science and machine learning with a strong emphasis on hands-on coding and model development. Advanced proficiency in Python, and extensive experience with ML libraries and frameworks such as TensorFlow, PyTorch, OpenCV, and Ultralytics YOLO. Demonstrable expertise in developing and deploying computer vision models (object detection and tracking) and NLP solutions. Hands-on experience with cloud platforms, especially Google Cloud (Vertex AI), for scalable ML model training and deployment. Strong analytical, debugging, and performance optimization skills, with a commitment to high-quality code and software engineering best practices. Familiarity with data annotation platforms (e.g., Roboflow) and experience in integrating these into model development workflows. Excellent communication and collaboration skills to work effectively in cross-functional teams. Preferred Skills: Experience with MLOps practices and CI/CD pipelines for machine learning. Familiarity with big data technologies and distributed computing frameworks. Contributions to open-source projects or publications in relevant fields. Expertise in model interpretability, monitoring, and performance tuning in production environments.

Role OPEN GL Location HyderabadExperience 5 - 7YrsEmployment Type Full Time, Working mode RegularNotice Period Immediate - 15 DaysAbout The Role :We are seeking a highly skilled Open GL Developer to join our dynamic team. As an integral part of our development process, you will be responsible for creating exceptional graphics experiences for our users. The ideal candidate possesses a strong foundation in C/C++, a deep understanding of OS concepts, and expertise in at least one graphics API (OpenGLES, Vulkan, or OpenCL).Responsibilities :- Develop high-performance, visually stunning graphics applications using Open GL and related technologies.- Optimize graphics performance and power efficiency across various hardware platforms.- Collaborate with cross-functional teams to implement innovative graphics solutions.- Troubleshoot and resolve complex graphics-related issues.- Stay up-to-date with the latest graphics technologies and industry trends.Requirements :- Strong proficiency in C/C++ programming.- In-depth knowledge of OS concepts and architecture.- Expertise in at least one graphics API (OpenGLES, Vulkan, or OpenCL) OR extensive experience with the Android Framework for graphics development.- Proven ability to optimize graphics performance and power efficiency.- Excellent problem-solving and debugging skills.- Strong communication and collaboration abilities.- Ability to work independently and as part of a team.Preferred Qualifications :- Experience with game development or other real-time graphics applications.- Knowledge of shader programming (GLSL, HLSL).- Experience with performance profiling and optimization tools.ApplyInsightsFollow-upSave this job for future referenceDid you find something suspiciousReport Here! Hide This JobClick here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Role – AIML Data Scientist Location : Chennai Mode of Interview - In Person Date : 7th June 2025 (Saturday) Job Description Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch Experience in using Deep learning models with text, speech, image and video data Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV Knowledge of State of the art Deep learning algorithms Optimize and tune Deep Learnings model for best possible accuracy Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau Work with application teams, in deploying models on cloud as a service or on-prem Deployment of models in Test / Control framework for tracking Build CI/CD pipelines for ML model deployment Integrating AI&ML models with other applications using REST APIs and other connector technologies Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus Show more Show less

reliability Role Summary: The AI/ML Engineers will be responsible for developing, testing, and deploying machine learning models and AI algorithms that can be integrated into the product suite. The ideal candidate will have expertise in integrating large language models (LLMs) with external knowledge bases, fine-tuning model architectures for specific tasks, and optimizing retrieval strategies to improve the accuracy and relevance of generated content. Key Responsibilities: Implement and optimize AI/ML algorithms for product integration. Collaborate with data scientists to deploy models and integrate them with software products. Design scalable solutions for AI/ML applications. Develop automated pipelines for continuous model training and updates. Work with engineering teams to ensure smooth integration and operation of AI models in production. Monitor and troubleshoot AI/ML models to ensure reliability and performance. Required Experience: 4 - 6 years of hands-on experience in machine learning model development and deployment. Hands-on experience in developing and fine-tuning Generative AI models, specifically focusing on Retrieval-Augmented Generation (RAG) systems. Experience with frameworks such as Hugging Face, OpenAI, or other GenAI platforms, along with proficiency in data preprocessing and model evaluation, is required Proficiency in Python, TensorFlow, Keras, PyTorch, or other AI/ML frameworks. Experience with model deployment and monitoring in production environments. Strong problem-solving skills and experience with cloud computing platforms (AWS, GCP, Azure). Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).