710 Opencv Jobs - Page 19

Key Responsibilities: Develop, fine-tune, and evaluate vision-language models (e.g., CLIP, Flamingo, BLIP, GPT-4V, LLaVA, etc.). Design and build multimodal pipelines that integrate image/video input with natural language understanding or generation. Work with large-scale image-text datasets (e.g., LAION, COCO, Visual Genome) for training and validation. Implement zero-shot/few-shot multimodal inference, retrieval, captioning, VQA (Visual Question Answering), grounding, etc. Collaborate closely with product teams, ML engineers, and data scientists to deliver real-world multimodal applications. Optimize model inference performance and resource utilization in production environments (ONNX, TensorRT, etc.). Conduct error analysis, ablation studies, and propose improvements in visual-language alignment. Contribute to research papers, documentation, or patents if in a research-driven team. Required Skills & Qualifications: Bachelor’s/Master’s/PhD in Computer Science, AI, Machine Learning, or a related field. 2+ years experience in computer vision or NLP, with at least 1+ year in multimodal ML or VLMs. Strong programming skills in Python, with experience in libraries like PyTorch, HuggingFace Transformers, OpenCV, torchvision. Familiarity with VLM architectures: CLIP, BLIP, Flamingo, LLaVA, Kosmos, GPT-4V, etc. Experience with dataset curation, image-caption pair processing, and image-text embedding strategies. Solid understanding of transformers, cross-attention mechanisms, and contrastive learning. Job Type: Full-time Pay: ₹25,000.00 - ₹40,000.00 per year Schedule: Day shift Work Location: In person

We are Sinch. The world’s number one in mobile engagement, helping amazing companies communicate with customers. And whether you know us or not, you’ve used our tech. From the life-changing to the timesaving, we’re helping over 3,000 businesses to interact with people like never before. We reach every phone on the planet so imagine the scale, the variety, the opportunity, and the growth that offers. Here you'll dream even bigger than ever, explore your career options, face fascinating challenges and build your skills alongside amazing experts. And every time you hear a phone ping, you’ll be proud of knowing you were part of making that happen. 147 billion times a year. The essence of the role Design, develop, test, and support the implementation of Solution via NodeJS and React in support of business requirements, software, and industry best practices using technology, Implement bot best practices and ensure compliance with security and data protection guidelines. Design and develop automation workflows, custom solutions, and processes using Chatlayer and node red. Intermediate expertise in building AI tools using Python Troubleshoot and resolve issues related to workflows and module development. Conduct testing and quality assurance of automation solutions to ensure accuracy and reliability. Who are you? 1.5 to 3 years’ Experience as a Application Developer Worked on full module development, end-to-end. Knowledge of workflow/modules design and documentation. Ability to analyse and optimize business processes for automation. Strong problem-solving skills and attention to detail. Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams. Self-motivated and able to work independently as well as in a team environment. Ability to adapt to changing priorities and manage multiple tasks simultaneously. In depth integration with REST(JSON) / SOAP API or any third-party integrations via API Highly proficient in JS and Advance Javascript Good knowledge of DB Design using MYSQL Intermediate understanding of Python to build AI models as per business requirements Basic Qualifications: Experience: 1.5-3 Yrs. Educational Qualification: B.Tech (CS, IT or Similar stream) Big plus! Proficient in NodeJS and React Knowledge of Machine Learning Algorithms in detail. Projects done related to AI using Python OpenCV Knowledge using Python Are you ready? Join us on our journey!

Job Description: Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills: Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day.

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

Job Requirements Summary: We are seeking skilled Python developers to assist in a large-scale code conversion project. The project involves transforming a legacy codebase of image processing and deep learning computer vision algorithms from MATLAB to Python. The initial conversion has been performed using state of the art AI capabilities (LLMs), and we now require human expertise to creating a working code base. Duties And Responsibilities Review and compare LLM converted Python code against original MATLAB code Debug syntax errors and correct logical inconsistencies in the Python code Ensure output consistency between MATLAB and Python implementations Implement proper error handling and logging mechanisms Develop comprehensive unit tests and integration tests Create clear and concise documentation for the converted code Optimize code for performance and readability wherever necessary Collaborate with team members to ensure end-to-end functionality Prepare code for containerization using Docker Adhere to best practices in software development and version control Work Experience Knowledge, Skills and Abilities: Strong proficiency in Python programming with 6+ years of experience Familiarity with MATLAB syntax and conventions Strong problem-solving and debugging skills Experience with version control systems (e.g., Git) Familiarity with Docker and containerization concepts Experience in code conversion projects Familiarity with scientific computing libraries (e.g., NumPy, SciPy) Knowledge of software testing frameworks (e.g., pytest) Experience with continuous integration and deployment (CI/CD) pipelines Understanding of software development best practices and design patterns Implement proper logging mechanisms for easier debugging and monitoring Create comprehensive unit tests and integration tests to ensure code reliability Develop clear and concise documentation, including inline comments and README files Optimize code for performance, considering Python-specific best practices Ensure code adheres to PEP 8 style guidelines Implement type hinting for improved code readability and maintainability Create requirements.txt files for each repository to manage dependencies Participate in code reviews to maintain high code quality standards Provide regular progress reports and participate in team meetings Optional Requirements Experience with image processing and computer vision libraries (e.g., OpenCV, scikit-image) Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) Understanding of mathematical concepts related to image processing and computer vision Show more Show less

Job Requirements We are seeking an experienced Embedded Validation Engineer with expertise in Advanced Driver Assistance Systems (ADAS), perception algorithms, dSPACE, and NVIDIA platforms . The ideal candidate will be responsible for validating embedded software, testing perception models, and ensuring the robustness of ADAS functionalities across different hardware platforms. Key Responsibilities Embedded Software Validation: Develop and execute test plans, test cases, and test automation for ADAS and perception systems. Validate embedded software running on dSPACE Scalexio, NVIDIA Jetson, and other automotive platforms. Conduct Software-in-the-Loop (SiL), Hardware-in-the-Loop (HiL), and Vehicle-level testing. Perform real-time debugging, issue analysis, and defect tracking. ADAS & Perception System Testing Validate sensor fusion, object detection, lane detection, and path planning algorithms. Ensure performance benchmarking of camera, LiDAR, and radar-based perception models. Work closely with AI/ML teams to validate deep learning-based perception models. DSPACE & NVIDIA Platform Expertise Work with dSPACE Scalexio, ControlDesk, and AutomationDesk for validation tasks. Validate and optimize CUDA, TensorRT, and ROS-based perception models on NVIDIA Jetson. Develop custom test frameworks and automation scripts for validation. Cross-functional Collaboration & Documentation Work closely with software developers, system architects, and hardware engineers. Provide technical reports, validation summaries, and defect analysis documentation. Participate in customer discussions and requirement analysis. Work Experience 6-8 years of experience in embedded validation, preferably in ADAS and perception systems. Strong hands-on experience with dSPACE Scalexio, NVIDIA Jetson (Xavier/Orin), and MATLAB/Simulink. Experience with HiL/SiL/MiL testing and validation tools. Expertise in Python, C++, MATLAB scripting, and automation frameworks. Familiarity with AUTOSAR, ROS, and functional safety standards (ISO 26262). Experience with CANoe, CANalyzer, and automotive communication protocols (CAN, Ethernet, LIN). Strong debugging skills with JTAG, debuggers, and real-time OS profiling tools. Preferred Qualifications Experience in AI/ML model validation and deep learning-based perception. Hands-on with Docker, TensorRT, OpenCV, and CUDA optimizations. Show more Show less

Job Requirements Key Responsibilities: Implement advanced perception algorithms for autonomous vehicles using LiDAR, cameras, radar, and GNSS. Develop and optimize sensor fusion techniques to combine data from multiple sensors, improving the accuracy and reliability of perception systems. Create algorithms for object detection, tracking, semantic segmentation, and classification from 3D point clouds (LiDAR) and camera data. Work on Simultaneous Localization and Mapping (SLAM) algorithms, including Graph SLAM, LIO-SAM, and visual-inertial SLAM. Develop sensor calibration techniques (intrinsic and extrinsic) and coordinate transformations between sensors. Contribute to the development of robust motion planning and navigation systems. Work with software stacks like ROS2 (Robot Operating System 2) for integration and deployment of perception algorithms. Develop, test, and deploy machine learning models for perception tasks (e.g., object detection, segmentation). Collaborate with cross-functional teams, including software engineers, data scientists, and hardware teams, to deliver end-to-end solutions. Stay up-to-date with industry trends, research papers, and emerging technologies to innovate and improve perception systems. Work Experience Required Skills: Proven experience with perception algorithms for autonomous systems, particularly in the areas of LiDAR, camera, radar, GNSS, or other sensor modalities. Understanding of LiDAR technology, point cloud data structures, and processing techniques Proficiency in programming languages such as C/C++, Python, or similar. In-depth knowledge of sensor fusion techniques (Kalman Filters, Extended Kalman Filters, Unscented Kalman Filters, Particle Filters) for combining data from LiDAR, camera, radar, and GNSS. Solid background in computer vision techniques (e.g., object detection, semantic segmentation, feature extraction). Experience in deep learning frameworks such as TensorFlow or PyTorch for object detection and segmentation tasks. Knowledge of SLAM (Simultaneous Localization and Mapping) and localization algorithms, including GraphSLAM, LIO-SAM, GTSAM, ORB-SLAM, and related technologies. Familiarity with ROS2 for the development of perception-based robotic systems and autonomous vehicles. Experience with multi-object tracking algorithms such as DeepSORT, SORT, and Kalman Filter-based tracking. Strong understanding of real-time systems and optimizing for low-latency processing. Proficiency in sensor calibration techniques and algorithms for both intrinsic and extrinsic calibration of LiDAR, cameras, radar, and GNSS. Hands-on experience with PCL (Point Cloud Library) and OpenCV for 3D point cloud and image processing. Experience with parallel computing and optimizing algorithms for real-time performance (e.g., CUDA, OpenCL). Experience with object detection models such as YOLO , Faster R-CNN , SSD , or similar. Show more Show less

PositionSenior AI/ML Engineer - GCP LocationHyderabad/Bangalore/Pune Work ModeHybrid About the Company: Relanto is a global advisory, consulting, and technology services partner, empowering customers to accelerate innovation by harnessing the power of Data and AI, Automation, NextGen Planning, and Cloud Solutions. Overview We're seeking an experienced individual (5-10 years) specializing in AI/ML to build and deploy cloud-based machine learning solutions. You'll work with Google Cloud Platform services to create scalable AI systems and APIs that integrate with various ML models. What You'll Do: Design and implement end-to-end ML pipelines in GCP Build and optimize AI models for production deployment using Vertex AI Develop RESTful APIs for ML model serving Implement vector search capabilities using BigQuery ML Create automated testing and deployment pipelines for ML models Set up model monitoring and performance tracking Optimize model inference and serving capabilities Must Have Skills: Strong Python programming with ML frameworks (PyTorch, TensorFlow) Experience with large language models and prompt engineering Proficiency in GCP AI services (Vertex AI, Cloud ML Engine) Vector search implementation (BigQuery ML, Matching Engine) RESTful API development with FastAPI/Flask Container orchestration with Docker and Google Kubernetes Engine (GKE) CI/CD pipeline experience for ML workflows Why Join Us: Competitive salary and benefits. Opportunities for professional growth and development. Collaborative and inclusive work culture. Flexible working arrangements for work-life balance. Exposure to innovative data analytics and visualization projects.

Job Information Job Opening ID ZR_2452_JOB Date Opened 05/04/2025 Industry IT Services Job Type Work Experience 3-5 years Job Title Ai engineer City Bangalore South Province Karnataka Country India Postal Code 560066 Number of Positions 1 ModalityFull time, work from office Job Responsibilities: To develop LLM - driven products from the groundup, we are looking for enthusiastic members who would like to design cutting edge systems and implement AI solutions that scale globally Strong communication skills Problem solving abilities Strong programming background Understanding of Transformer architecture Required Qualifications: 3+ years of hands on experience in AI/ML with proven projects using Transformers (eg., BERT, GPT, T5, VITs, Small LLMs) Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow) Ability to independently analyze open sources and code repositories Experience in fine-tuning Transformer models for NLP (e.g., text classification, summarization) or Computer Vision (e.g., image generation, recognition) Knowledge of GPU acceleration, optimization techniques, and model quantization Experience in deploying models using Flask, FastAPI, or cloud-based inference services Familiarity with data pre-processing, feature engineering, and training workflows check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

4+yrs Data science,ML frameworks,MLOps, Python, Data engineering,Cloud platforms,Edge computing,Data manipulation libraries,Model development,Object,Experiment, design,Ab testing. Reach me at mailcv108@gmail.com or WhatsApp me at +91 9611702105

Professional Summary : Experienced and versatile Senior Full Stack Developer with 6 to 8 years of expertise in building scalable, secure, and dynamic web applications. Proficient in frontend and backend technologies, API development, AI-driven functionalities, and media-intensive features such as image and video processing . Skilled in developing CMS-based solutions, integrating AI/ML models, and coordinating directly with business stakeholders, UI/UX teams, and DevOps for end-to-end product development. Core Competencies : Frontend Development : HTML5, CSS3, JavaScript (ES6+), Bootstrap React.js Responsive and cross-browser design REST API & GraphQL integration Backend Development : Node.js, Django, Python PostgreSQL, MongoDB, MySQL Redis, Kafka AI & Media Work : AI/ML Integration using TensorFlow, PyTorch, or scikit-learn Image & Video Processing using OpenCV, FFmpeg, PIL Face detection, object recognition, media tagging pipelines DevOps & Tools : GCP, Docker, Git, CI/CD pipelines, Version Control (GitHub/Bitbucket) Roles & Responsibilities : Design, develop, and maintain full stack applications across multiple platforms. Build robust and reusable APIs for internal and external use. Implement AI-driven features such as recommendation systems, classification engines, or computer vision components. Manage image and video processing pipelines for media-rich applications. Develop custom CMS solutions tailored for content-heavy websites or SaaS platforms. Collaborate with UI/UX designers, frontend/backend developers, QA engineers, and DevOps teams. Communicate directly with business owners and product managers to gather requirements and translate them into functional deliverables. Ensure performance, scalability, and security best practices in development and deployment. Mentor junior developers, perform code reviews, and lead technical discussions. Professional Experience : Proven ability to lead projects from concept to deployment, especially in domains involving AI, media, and CMS.

AI Intern – Model Fine-Tuning, Video Intelligence, and Multilingual Media Tech Location: Remot e / India Duration: 3–6 Months Start: Immediate About Us We are a fast-moving tech team building cutting-edge solutions at the intersection of AI, video intelligence, and multilingual media. We’re now looking for AI Interns who are excited about working hands-on with the latest open-source models and taking them from prototype to production. This is your chance to build real-world, production-grade AI systems—not just toy models. If you love experimenting, optimizing, and seeing your work go live, you’ll love working with us. What You’ll Work On As an intern, you’ll help us build intelligent pipelines that: 🎬 Convert long-form videos into engaging short reels 📝 Auto-generate subtitles from video/audio 🌐 Translate video content into multiple languages (text + speech) 🗣️ Add dubbed audio with emotional tone matching across language s To achieve this, you’ll : Fine-tune and evaluate open-source AI models (Hugging Face, etc. ) Work with speech-to-text (STT), text-to-text (translation), and text-to-speech (TTS) system s Optimize models for real-time inference using tools like ONNX, quantization, etc . Collaborate closely with engineers to integrate AI into full-stack pipeline s Who We’re Looking Fo rStrong programming skills in C (essential for performance-critical modules ) Working knowledge of Python, PyTorch, Transformers, or similar framework s Basic understanding of model training, fine-tuning, and inference workflow s Hunger to learn, build, and solve open-ended problem s (Bonus) Familiarity with video/audio libraries (FFmpeg, OpenCV), Docker, or REST API s Why Join U s✅ Work on impactful, real-world AI project s✅ Get hands-on mentorship in applied AI & production engineerin g✅ See your work ship and make a differenc e✅ Flexible, remote-friendly work setu p Ready to apply ?Send your resume, GitHub/portfolio (if any), and a short note about why this excites you to hr@mantechventures.com . Show more Show less

Description Title: ML Engineer Location: India, Remote EGNYTE YOUR CAREER. SPARK YOUR PASSION. Role Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 17,000 customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters who doers, thinkers, and collaborators are who embrace and live by our values: Invested Relationships Fiscal Prudence Candid Conversations About Egnyte Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com . The Opportunity We are looking for an experienced engineer who will help us to design, develop, and deploy machine learning & deep learning models in production, with a strong focus on NLP solutions. The core of the work will be focused on providing technical leadership for the development of NLP projects. Besides tasks associated with developing models into production, an important part of the work concerns the development of appropriate approaches and tools to ensure the professional management of our models in production. Finally, transferring knowledge, providing technical expertise to the team members, and helping shape up the team is an integral part of the job. Your Day-to-day At Egnyte Supervising the full development of machine learning & deep learning projects, from design to deployment and maintenance Providing technical leadership for the development of NLP projects Reviewing state-of-the-art machine learning & deep learning technologies/models with a strong focus on NLP Evaluating potential ML solutions and choosing the most appropriate ones depending on technical and business needs, in close collaboration with our Product team Defining the architecture of machine learning-based projects, including integrations with other Egnyte products Supporting the whole lifecycle of our machine learning models, including gathering data for (re)training, A/B testing, deployment, monitoring, retraining, and redeployments Working closely within a distributed team to analyze and apply innovative solutions over billions of documents Communicating your approach and results to a wider audience through articles and presentations About You Documented technical excellence in NLP Demonstrated success with machine learning & deep learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale Advanced communication skills, especially with regards to knowledge transfer Ability to provide mentorship and team support Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras Advanced knowledge of the HuggingFace libraries (transformers and tokenizers) or the Fairseq library Fluency in Python, Docker, Kubernetes, Helm Solid English skills to effectively communicate with other team members Bonus Skills Experience with large datasets and distributed computing, especially with the Google Cloud Platform Good understanding of advanced analytical modeling and statistical forecasting techniques Knowledge of Java, Scala or Go-Lang programming languages Familiarity with Kubeflow Experience with OpenCV Names containing “BERT” are very welcomed ;-) Benefits Competitive salaries Medical insurance and healthcare benefits for you and your family Fully paid premiums for life insurance Flexible hours and PTO Mental wellness platform subscription Gym reimbursement Childcare reimbursement Group term life insurance Commitment To Diversity, Equity, And Inclusion At Egnyte, we celebrate our differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be. Show more Show less

We are Sinch. The world's number one in mobile engagement, helping amazing companies communicate with customers. And whether you know us or not, you've used our tech. From the life-changing to the timesaving, we're helping over 3,000 businesses to interact with people like never before. We reach every phone on the planet so imagine the scale, the variety, the opportunity, and the growth that offers. Here you'll dream even bigger than ever, explore your career options, face fascinating challenges and build your skills alongside amazing experts. And every time you hear a phone ping, you'll be proud of knowing you were part of making that happen. 147 billion times a year. The essence of the role Design, develop, test, and support the implementation of Solution via NodeJS and React in support of business requirements, software, and industry best practices using technology, Implement bot best practices and ensure compliance with security and data protection guidelines. Design and develop automation workflows, custom solutions, and processes using Chatlayer and node red. Intermediate expertise in building AI tools using Python Troubleshoot and resolve issues related to workflows and module development. Conduct testing and quality assurance of automation solutions to ensure accuracy and reliability. Who are you? 1.5 to 3 years' Experience as a Application Developer Worked on full module development, end-to-end. Knowledge of workflow/modules design and documentation. Ability to analyse and optimize business processes for automation. Strong problem-solving skills and attention to detail. Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams. Self-motivated and able to work independently as well as in a team environment. Ability to adapt to changing priorities and manage multiple tasks simultaneously. In depth integration with REST(JSON) / SOAP API or any third-party integrations via API Highly proficient in JS and Advance Javascript Good knowledge of DB Design using MYSQL Intermediate understanding of Python to build AI models as per business requirements Basic Qualifications Experience: 1.5-3 Yrs. Educational Qualification: B.Tech (CS, IT or Similar stream) Big plus! Proficient in NodeJS and React Knowledge of Machine Learning Algorithms in detail. Projects done related to AI using Python OpenCV Knowledge using Python Are you ready? Join us on our journey! Show more Show less

🚀 We're Hiring: Head of AI & Automation 📍 Location: Hyderabad | Full-time About Us: At Vedasya Engineering , we are reshaping the future of advanced manufacturing and sustainable Aerospace & Defense technologies . From composite manufacturing systems to hydrogen storage and intelligent automation, we bring cutting-edge solutions to aerospace, defense, and clean-tech industries. We’re looking for a Head of AI & Automation to lead the next phase of intelligent product development across our engineering systems, AI software platforms, and factory automation efforts. 🔧 What You’ll Do: Lead AI/ML strategy and execution across products and operations—factory automation, digital twins, predictive maintenance, and smart analytics. Oversee the development of AI modules in vertical SaaS platforms for procurement intelligence and manufacturing optimization. Collaborate with product, R&D, and hardware teams to integrate AI into robotics, machine vision, and composite manufacturing lines . Build and mentor a cross-functional AI/Automation team (ML engineers, data scientists, embedded AI experts). Evaluate and implement scalable tools using NVIDIA, Hailo, or AMD Versal platforms for on-edge inference. Ensure ethical, explainable, and secure use of AI across the company’s offerings. 👤 What We’re Looking For: 6–10 years of experience in AI/ML, with at least 3 years in a leadership or architecture role. Proven track record in deploying AI solutions in manufacturing, industrial automation, or supply chain . Strong hands-on knowledge of Python, TensorFlow/PyTorch, OpenCV, and edge deployment frameworks. Experience with real-time data pipelines, IIoT, PLC integrations, or robotics is a huge plus . Background in engineering, computer science, or related technical fields (Master’s/PhD preferred). 💡 Bonus Skills: Familiarity with aerospace or defense-grade AI applications. Exposure to simulation tools (Ansys, Simulink) and control systems. Experience co-developing IP, patents, or R&D grants in AI or robotics. Why Join Vedasya? Be at the forefront of Make-in-India deep-tech innovation . Collaborate with IITs, DRDO, and leading aerospace firms. Solve hard problems with a passionate, mission-driven team. 📩 Email : hr@vedasyaengg.in 🌐 Learn more: www.vedasyaengg.in Show more Show less

AI Solutions Architect with total of around 10-15 years of experience and atleast 5-8 years of relevant data science, analytics and AI/ML. • Develop strategies/solutions to solve problems in logical yet creative ways, leveraging state-of-the-art machine learning, deep learning and GEN AI techniques. • Technically lead a team of data scientists to produce project deliverables on time and with high quality. • Identify and address client needs in different domains, by analyzing large and complex data sets, processing, cleansing, and verifying the integrity of data, and performing exploratory data analysis (EDA) using state-of-the-art methods. • Select features, build and optimize classifiers/regressors, etc. using machine learning and deep learning techniques. • Enhance data collection procedures to include information that is relevant for building analytical systems, and ensure data quality and accuracy. • Perform ad-hoc analysis and present results in a clear manner to both technical and non-technical stakeholders. • Create custom reports and presentations with strong data visualization and storytelling skills to effectively communicate analytical conclusions to senior officials in a company and other stakeholders. • Expertise in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques. • Strong programming skills in Python. • Excellent communication and interpersonal skills, with the ability to present complex analytical concepts to both technical and non-technical stakeholders. Primary Skills : - Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc. - Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). - Proficient in coding in common data science language & tools such as R, Python. - Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc. - Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc. - Exposure or knowledge in cloud (Azure/AWS). - Experience on deployment of model in production. Standard Skills: In-depth understanding of manufacturing workflows, production planning, and quality control. Familiarity with ISA-95 and ISA-88 standards for manufacturing systems. Experience working with shop floor automation and IoT devices. Good To have skills: MES Certifications, AI/ML, regulatory experience, and emerging technologies like IoT or edge computing. Show more Show less

Project Role :AI / ML Engineer Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills :Machine Learning Operations Good to have skills :NA Minimum 5 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an AI/ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Your role will involve applying GenAI models as part of the solution, and may also include deep learning, neural networks, chatbots, and image processing. Join our team and contribute to cutting-edge AI projects. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Collaborate with stakeholders to understand project requirements and objectives. Design and develop AI/ML applications and systems using Cloud AI services. Implement and optimize machine learning algorithms and models. Ensure the quality and performance of AI applications through testing and debugging. Stay up-to-date with the latest advancements in AI/ML technologies and tools. Contribute to the documentation and knowledge sharing within the team. Professional & Technical Skills: Must To Have Skills:Proficiency in Machine Learning Operations. Experience with cloud-based AI tools and services. Strong understanding of deep learning, neural networks, and image processing. Hands-on experience with chatbot development. Solid knowledge of data preprocessing and feature engineering techniques. Good To Have Skills:Experience with natural language processing (NLP) techniques. Familiarity with big data technologies and distributed computing frameworks. Experience with containerization and orchestration tools like Docker and Kubernetes. Additional Information: The candidate should have a minimum of 5 years of experience in Machine Learning Operations. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 15 years full time education

Job Summary We are seeking a Data Scientist with 6 to 9 years of experience to join our team. The ideal candidate will have expertise in PySpark Statistics Azure Open AI Service EDA Airflow OpenCV Artificial Intelligence Natural Language Processing Deep Learning and PyTorch. This role requires working from the office during day shifts with no travel required. Responsibilities Develop and implement data models using PySpark to analyze large datasets. Conduct statistical analysis to identify trends and patterns in data. Utilize Azure Open AI Service to build and deploy AI models. Perform Exploratory Data Analysis (EDA) to uncover insights from data. Manage and orchestrate data workflows using Airflow. Apply OpenCV techniques for image processing and computer vision tasks. Develop and deploy Artificial Intelligence solutions to solve complex problems. Implement Natural Language Processing (NLP) models to analyze and interpret text data. Design and train Deep Learning models using PyTorch. Collaborate with cross-functional teams to understand business requirements and translate them into data solutions. Provide actionable insights and recommendations based on data analysis. Ensure data quality and integrity throughout the data lifecycle. Stay updated with the latest advancements in data science and AI technologies. Qualifications Must have strong experience in PySpark for data processing and analysis. Should possess in-depth knowledge of statistical methods and their applications. Must be proficient in using Azure Open AI Service for AI model deployment. Should have hands-on experience in performing EDA to derive insights. Must be skilled in using Airflow for workflow management. Should have expertise in OpenCV for image processing tasks. Must have experience in developing AI solutions for various applications. Should be proficient in NLP techniques for text analysis. Must have experience in training Deep Learning models using PyTorch. Should have excellent problem-solving skills and attention to detail. Must be able to work collaboratively in a team environment. Should have strong communication skills to present findings effectively. Certifications Required Certified Data Scientist Microsoft Certified: Azure AI Engineer Associate PyTorch Developer Certification Show more Show less

Experience : 3.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Hybrid (Gurugram) Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Stupa Sports Analytics) What do you need for this opportunity? Must have skills required: Computer Vision, Camera Calibration, 3d vision Stupa Sports Analytics is Looking for: 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 How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: App Automation Eng Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions. What are we looking for - Expertise in RPA tools like Automation Anywhere, UiPath, or Blue Prism.- Advanced knowledge of AI, machine learning, and OCR technologies.- Strong coding skills in Python, C#, or similar languages for custom integrations and enhancements.- Proficiency in integrating OCR solutions like ABBYY, Tesseract, Google Vision, or AWS Textract with RPA platforms.- Ability to design scalable automation architectures that use AI for cognitive tasks.-Stakeholder management-Good communicationFlexible Roles and Responsibilities: - Lead the design and implementation of AI-powered RPA solutions.- Oversee the integration of OCR technology to handle unstructured data within RPA workflows.- Provide technical leadership and mentoring to junior developers.- Conduct performance tuning and ensure that the AI/OCR systems are scalable, reliable, and performant.- Work closely with business stakeholders to identify automation opportunities.- Conduct advanced troubleshooting and resolve complex automation issues. Qualification Any Graduation

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Mid-Senior level Min Experience: 6 years Location: Bangalore JobType: full-time About The Role We’re looking for an Advanced AI Scientist who thrives at the intersection of cutting-edge research and production-grade AI development. In this role, you will lead initiatives to build and deploy generative AI systems with applications across vision and language . From fine-tuning large-scale transformer models to integrating computer vision pipelines, your work will power next-generation features across our AI-driven product suite. This role offers an opportunity to dive deep into generative models, leverage both LLMs and computer vision systems , and collaborate with a team that believes in pushing technical boundaries. What You’ll Do Architect and train generative AI models including diffusion models, GANs, and transformer-based systems for text and image generation. Fine-tune and optimize Large Language Models (LLMs) like GPT, T5, or BERT for use cases such as summarization, content generation, and intelligent chat interfaces. Develop robust computer vision pipelines using OpenCV for tasks such as image enhancement, object recognition, or scene understanding. Collaborate with cross-functional teams across product, engineering, and design to embed intelligent capabilities into production systems. Prototype with Keras, PyTorch, and TensorFlow to build scalable models that transition smoothly from research to production. Analyze large datasets, clean noisy inputs, and build preprocessing pipelines optimized for multimodal AI workflows. Stay current with research developments in AI/ML—transformers, diffusion models, multimodal learning—and bring those insights into applied projects. Ensure high availability and performance of models in cloud and edge environments via containerized deployments using Docker and Kubernetes. Contribute to internal knowledge sharing and mentor junior members of the AI/ML team. What You Bring 6–11 years of hands-on experience in AI/ML engineering , particularly in generative models and applied deep learning. Deep expertise in Python , with practical knowledge of PyTorch , TensorFlow , and Keras . Experience designing, fine-tuning, and deploying LLMs in real-world applications. Strong foundation in computer vision , including techniques like image segmentation, detection, and transformation using OpenCV . Fluency in NLP techniques—tokenization, embeddings, transformers, attention mechanisms, etc. Comfort working with cloud environments (AWS, GCP, Azure) and container orchestration using Docker and Kubernetes . Demonstrated ability to deliver AI models from experimentation to production. Strong communication skills and ability to work cross-functionally in agile teams. Preferred Master’s or PhD in Computer Science, Machine Learning, AI, or related fields. Research publications or open-source contributions in generative AI or computer vision. Experience working in fast-paced startups or product-centric environments with ownership of AI initiatives. Familiarity with vector databases, prompt engineering, or multimodal AI systems. Show more Show less

#Skill:Machine Leaning Developer #Notice Period: Immediate #Employment Type: Contract #Work Mode: WFO/Hybrid #Job Description : Principal responsibilities Developers to build prod-ready models that will help with content extraction and classification from images and text-based sources. Should have worked on projects related to Intelligent document processing using open source models. Work with business and transformation teams to understand & formulate application specific design. Collaborative with product managers, technical teams. Create, test and iterate new and existing products and features. Design and Build Python/ML/OCR-based components. Completes applications development by coordinating requirements, schedules, and activities; contributing to team meetings; troubleshooting development and production problems across multiple environments and operating platforms. Should be able to troubleshoot development and production problems across multiple environments and operating platforms. Experience is preferred in Agile/DevOps areas. Must have: Strong in python, Machine learning, Deep learning, Natural language processing, Gen AI, Image processing, Document AI, OCR technology Frame Works: TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex API: Fast API, Tornado Database: Postgres, Mongo OS RHEL, Ubuntu Jenkins Pipeline, Docker, Kubernetes, Ansible Automation platform, Git, GitHub, shell/python scripts and Linux Fundamentals. Nice to Have: Understanding of cloud computing fundamentals, proficiency with Azure's core services like Azure Virtual Machines, through hands-on experience with the Azure portal and Azure CLI, Azure Kubernetes Service (AKS), Azure DevOps basic knowledge of networking and security best practices.

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

Job Summary: We are seeking a highly skilled and experienced AI/ML Consultant to join our team and support the development and deployment of advanced machine learning and artificial intelligence solutions. The ideal candidate will possess deep technical expertise, strong business acumen, and the ability to bridge the gap between complex algorithms and real-world business applications. Key Responsibilities: Collaborate with clients and internal stakeholders to identify opportunities for AI/ML applications. Design, develop, and deploy machine learning models and AI algorithms tailored to specific business problems. Evaluate model performance and implement improvements for scalability, accuracy, and efficiency. Advise clients on AI/ML strategies, tools, and frameworks suitable for their environment. Lead workshops, presentations, and training sessions for clients and internal teams. Translate complex technical solutions into clear business value propositions. Stay updated with the latest AI/ML trends, tools, and research to continuously improve offerings. Requirements: Proven experience in developing and deploying machine learning models. Proficiency in Python (preferred), R, or other programming languages used in data science. Strong understanding of frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, etc. Experience with cloud-based ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI, etc.). Solid understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker). Educational Background: Bachelors or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. Professional Skills: Strong problem-solving skills with a consultative approach. Excellent communication and presentation skills, especially with non-technical stakeholders. Ability to manage multiple projects and deliver high-quality results under tight deadlines. Prior experience in a consulting or client-facing role is highly preferred. Preferred Qualifications: Experience in specific AI/ML domains such as NLP, Computer Vision, Time Series Forecasting, or Reinforcement Learning. Industry experience in sectors such as finance, healthcare, retail, manufacturing, or logistics. Knowledge of data governance, security, and compliance standards.

Job Title: Data Scientist – Deep Learning, NLP, Generative AI & Computer Vision Location: Hyderabad, India Job Type: Full-time Experience: 3–8 years Industry: IT / Artificial Intelligence / Software Services Job Summary: We are seeking a highly skilled and motivated Data Scientist with a strong background in Deep Learning, Natural Language Processing (NLP), Generative AI, and Computer Vision to join our team in Hyderabad. The ideal candidate will be responsible for designing, building, and deploying advanced AI models to solve real-world problems and drive innovation across our product lines. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field (Ph.D. preferred). 3+ years of experience in applied machine learning or data science roles. Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Hands-on experience with NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Proven experience with computer vision tools (e.g., OpenCV, YOLO, CNNs, Vision Transformers). Exposure to Generative AI models like GPT, DALL·E, or Stable Diffusion. Proficiency in Python and familiarity with libraries such as NumPy, Pandas, Scikit-learn. Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. Excellent problem-solving skills and ability to work in a fast-paced environment. Interested can share your resume at giribabu@pranathiss.com Show more Show less