Languages/Frameworks : Python, SQL, TensorFlow, PyTorch, Scikit-learn Cloud & Infrastructure : AWS, Azure, GCP, Docker, MLOps principles AI Focus Areas : LLMs, Prompt Engineering, Neural Networks, NLP, NLU, RAG, GraphQL, Graph Databases House rent allowance Travel allowance Health insurance Maternity policy Annual bonus Performance bonus Job/soft skill training Course reimbursements

As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility. This role includes the following responsibilities and requirements: Architecture, design, development, debugging, documentation, and operation of large-scale systems designed for AWS, Full Stack, AI and Machine Learning. Location- Karnal,Mohali,Remote

Job Title: Senior Computer Vision Engineer – C++ / OpenCV (Medical Imaging) Job Type: Full-Time Experience Level: Senior (5+ years) Job Summary: We are looking for an experienced and driven Senior Computer Vision Engineer with strong proficiency in C++ and OpenCV , to lead the development of advanced imaging solutions for the medical domain . This role involves algorithm design, optimization, and cross-functional collaboration to develop software that aids in clinical diagnostics and medical device imaging. Key Responsibilities: Lead the design and implementation of advanced computer vision and image processing algorithms for medical imaging systems. Architect and optimize high-performance C++/OpenCV modules for real-time and offline analysis. Ensure quality and robustness of algorithms. Contribute to the documentation and validation process for regulatory submissions (FDA, CE Marking, etc.). Stay abreast of advancements in medical imaging, deep learning, and computer vision research; evaluate their applicability to ongoing projects. Required Skills and Experience: Bachelor’s or Master’s degree in Computer Science, or related field. 5+ years of professional experience in C++ software development for computer vision applications. Deep expertise in OpenCV and real-time image processing techniques. Strong experience in the medical imaging domain : DICOM handling and medical data compliance. Proven ability to build, optimize, and scale computer vision systems in production environments. Familiarity with common medical image processing tasks such as multi-modal image registration, segmentation (2D/3D), noise filtering, and anatomical landmark detection. Strong understanding of memory management, concurrency, and performance tuning in C++. Prior experience working with regulatory processes or developing software for certified medical devices. Preferred (Nice-to-Have) Qualifications: Experience with ITK , VTK , or other medical image processing libraries. Exposure to deep learning techniques using frameworks like TensorFlow or PyTorch , especially in medical imaging. Knowledge of GPU programming (CUDA/OpenCL/OpenGL) for accelerated image processing. Experience with 3D visualization. What We Offer: Work at the forefront of healthcare innovation, directly improving patient outcomes. Technical leadership opportunities and the chance to shape the vision of imaging software products. Collaborative, research-driven culture with access to real-world medical data. Competitive compensation, flexible work environment, and comprehensive benefits package. Show more Show less

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for India’s top 1% Computer Vision Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community? We are looking for top-tier Computer Vision (CV) Engineers with expertise in image/video processing, object detection, and generative AI. If you have experience in this field then this is your chance to collaborate with industry leaders. What’s in it for you? Pay above market standards The role is going to be contract based with project timelines from 2 - 12 months , or freelancing. Be a part of an Elite Community of professionals who can solve complex AI challenges. Work location could be: Remote (Highly likely) Onsite on client location Deccan AI’s Office: Hyderabad or Bangalore Responsibilities: Develop and optimize computer vision models for tasks like object detection, image segmentation, and multi-object tracking. Lead research on novel techniques using deep learning frameworks (TensorFlow, PyTorch, JAX). Build efficient computer vision pipelines and optimize models for real-time performance. Deploy models using microservices (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Lead MLOps practices, including CI/CD pipelines, model versioning, and training optimizations. Required Skills: Expert in Python, OpenCV, NumPy, and deep learning architectures (e.g., ViTs, YOLO, Mask R-CNN). Strong knowledge in computer vision fundamentals, including feature extraction and multi-view geometry with experience in deploying and optimizing models with TensorRT, Open VINO, and cloud/edge solutions. Proficient with MLOps tools (ML flow, DVC), CI/CD, and distributed training frameworks. Experience in 3D vision, AR/VR, or LiDAR processing is a plus. Nice to Have: Experience with multi-camera vision systems, LiDAR, sensor fusion, and reinforcement learning for vision tasks. Exposure to generative AI models (e.g., Stable Diffusion, GANs) and large-scale image processing (Apache Spark, Dask). Research publications or patents in computer vision and deep learning. What are the next steps? 1. Register on our Soul AI website. 2. Our team will review your profile. 3. Clear all the screening rounds: Clear the assessments once you are shortlisted. As soon as you qualify all the screening rounds (assessments, interviews) you will be added to our Expert Community! 4. Profile matching and Project Allocation: Be patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You! Show more Show less

• 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. Show more Show less

Job Title: Python Full Stack Developer Company: Phloem Weddings Location: Kottayam, Kerala (On-site preferred) Job Type: Full-Time About Us: Phloem Weddings is a creative studio based in Kottayam, combining visual storytelling with powerful digital tools to deliver exceptional wedding experiences. We are expanding our in-house tech team and are looking for a skilled Full Stack Developer to help build our next generation of tools and platforms. Key Responsibilities: Develop and maintain full-stack applications using Python Design backend services and APIs using Node.js Build dynamic and responsive UIs with ReactJS Manage databases with MongoDB Handle media storage and serverless operations using AWS S3 and Lambda Implement and optimize image processing workflows using Python (e.g., OpenCV, PIL) Collaborate with the team to design and deliver performance-optimized features Mandatory Requirements – Experience in the following is a MUST: Node.js MongoDB AWS (S3 and Lambda) Image Processing using Python ReactJS Candidates without proven experience in the above areas will not be considered. Qualifications: Minimum 2 years of professional experience in full stack development Strong understanding of RESTful APIs, async programming, and web architecture Ability to write clean, maintainable code and follow best practices Experience working with media-heavy or image-based platforms is a plus Work Mode: On-site at our Kottayam office preferred Hybrid/remote option may be available for highly qualified candidates How to Apply: Send your resume and links to relevant projects via WhatsApp to + 91 9847702021 or hr@phloemweddings.com We’re looking for developers who are ready to take ownership, innovate, and grow with us. Job Type: Full-time Benefits: Cell phone reimbursement Schedule: Day shift Work Location: In person

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 : Google Cloud Machine Learning Services Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BTech Summary :As an AI/ML Engineer,, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Ensure proper cloud application pipeline with production-ready quality. Professional & Technical Skills: Must To Have Skills:CCAI hands on experience and generative AI understanding. Good To Have Skills:Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms and techniques. Experience with chatbot , generative AI models, prompt Engineering Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 3 - 5 years of experience in Google Cloud Machine Learning Services.and overall Experience around 5 - 7 years The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualifications BTech

About Us At WaysAhead , we blend the latest AI techniques with deep industry and analytics expertise to unlock business value from data. Our mission? To transform complex data into actionable insights and help clients make smarter, faster decisions. If you're passionate about innovation and love solving real-world problems through data—let’s talk. Role Overview We’re looking for a Data Scientist to join our growing team in New Delhi. You'll work on cutting-edge problems at the intersection of retail intelligence and AI—building LLMs, vision-based systems, and scalable ML models. Expect to collaborate closely with product teams to turn ideas into impactful AI-powered features. What You’ll Do Build ML models for NLP, vision, recommendation, and classification tasks Fine-tune LLMs and implement RAG-based systems Develop REST APIs and deploy models via Docker, FastAPI, or Flask Write modular, clean Python code for ML pipelines Collaborate with cross-functional teams to deliver AI features Stay updated with the latest in AI, LLMs, and deployment best practices Must-Have Skills Python (Advanced), Sklearn, LLMs / Transformers REST API development, Model deployment (Docker, FastAPI, Flask) RAG pipelines, HuggingFace/OpenAI APIs MsSQL, Algorithm development Good-to-Have Skills Git, CI/CD, LangChain, Prompt Engineering, Streamlit Nice-to-Have Skills AWS/Azure pipelines, OpenCV, YOLO, ONNX, PyTorch Qualifications Master’s in Data Science, Statistics, Computer Science, or related field Strong analytical mindset, teamwork, and communication skills Experience with data visualization tools (Tableau, Power BI) is a plus Show more Show less

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). Requirements 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). Show more Show less

Job Summary We are hiring a Junior AI Engineer to design and implement AI-driven automation solutions. Youll work with cross-functional teams to streamline operations and reduce manual tasks using machine learning, APIs, and scripting. Training will be provided , making this a great opportunity for candidates with a strong foundation and a desire to grow in AI and automation. Responsibilities Automate repetitive tasks using AI/ML or Python scripting. Integrate AI features into web apps with development teams. Connect ML models to systems like Frappe/ERPNext via APIs. Build and maintain clean, well-documented automation workflows. Prototype tools using speech-to-text , OCR , or computer vision . Stay updated on new AI tools and suggest improvements. Qualifications: Proficient in Python and basic scripting. Exposure to AI/ML through projects, coursework, or certifications. Familiar with OpenCV, Numpy, Pandas, or PyTorch. Experience or familiarity with Large Language Models (LLMs) and Generative AI technologies (e.g., GPT, Grok). Hands-on experience or understanding of LangChain and its applications in building LLM-powered workflows. Understanding of APIs and web integrations. Bachelor s degree (or pursuing) in Computer Science, Data Science, Engineering, or a related field. Strong problem-solving skills and eagerness to learn. Gender - Both Exp - Fresher Location - Bangalore

Job Summary: We are seeking a skilled and passionate Software Developer with experience in building and maintaining medical IT applications, particularly imaging-based systems such as colposcopy, endoscopy software. The ideal candidate will be responsible for designing, developing, testing, and maintaining high-performance, secure, and reliable software solutions tailored to medical environments, ensuring compliance with healthcare regulations and integration with clinical workflows. Key Responsibilities: Design and develop medical imaging software (real-time video capture, image processing, and diagnostics tools). Collaborate with clinical experts, biomedical engineers, and other developers to define software requirements. Develop user-friendly graphical interfaces for medical practitioners. Integrate software with medical hardware and imaging devices (e.g., cameras, capture cards, diagnostic tools). Implement features like patient data management, image annotation, report generation, and data export (e.g., DICOM/PACS, HL7). Write clean, maintainable, and efficient code using appropriate programming languages and frameworks (Python) databases (Xampp). Develop automated testing and perform unit/integration testing to ensure software quality. Troubleshoot and debug software issues in development and production environments. Maintain documentation for code, architecture, and user manuals. Stay up to date with medical technology trends, compliance requirements, and software development best practices.

Management Level: Ind & Func AI Decision Science Analyst Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 1-3 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 1-3 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 1-3 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

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 : Prompt Engineering Good to have skills : NAMinimum 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 utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. 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.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Prompt Engineering.- Strong understanding of AI/ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Hands-on experience with chatbots and image processing. Additional Information:- The candidate should have a minimum of 5 years of experience in Prompt Engineering.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

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 : Snowflake Data Warehouse Good to have skills : NAMinimum 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 utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. 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.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of AI and ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Familiarity with chatbots and image processing. Additional Information:- The candidate should have a minimum of 5 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

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 : Data Science Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Good To Have Skills: Experience with machine learning frameworks such as TensorFlow or PyTorch.- Strong understanding of data preprocessing techniques and feature engineering.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Experience in developing and optimizing algorithms for large datasets. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

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 : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. 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.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and workflows. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Knowledge of programming languages such as Python or R. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

We are seeking a skilled and innovative Deep Learning Engineer to join our AI/ML team. As a Deep Learning Engineer, you will develop, train, and deploy computer vision models that solve complex visual problems. You will work on cutting-edge technology involving image processing, object detection, and video analysis, collaborating with cross-functional teams to create impactful real-world applications. Role: Data Scientist / Deep Learning Engineer Location: Pune General Summary Of The Role Develop and optimize computer vision models for object detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs). Work with OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR) for text extraction from images. Work with PyTorch, TensorFlow, OpenCV for deep learning and image processing. Implement sequence-based models (RNNs, LSTMs, GRUs) for vision tasks. Optimize software for real-time performance on multiple platforms. Implement and deploy AI models via Flask/FastAPI and integrate with SQL/NoSQL databases. Use Git/GitHub for version control and team collaboration. Apply ML algorithms (regression, decision trees, clustering) as needed. Review code, mentor team members, and enhance model efficiency. Stay updated with advancements in deep learning and multimodal AI. Required Skills & Qualifications Python proficiency for AI development. Experience with PyTorch, TensorFlow, and OpenCV. Knowledge of object detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs). Experience with OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR). Experience with RNNs, LSTMs, GRUs for sequence-based tasks. Experience with Generative Adversarial Networks (GANs) and Diffusion Models for image generation. Familiarity with REST APIs (Flask/FastAPI) and SQL/NoSQL databases. Strong problem-solving and real-time AI optimization skills. Experience with Git/GitHub for version control. Knowledge of Docker, Kubernetes, and model deployment at scale on serverless and onprem platforms. Understanding of vector databases (FAISS, Milvus). Preferred Qualifications Experience with cloud platforms (AWS, GCP, Azure). Experience with Vision Transformers (ViTs) and Generative AI (GANs, Stable Diffusion, LMMs). Familiarity with Frontend Technologies. Skills: computer vision,object detection,models,platforms,opencv,diffusion models,databases,classification,lstms,tensorflow,deep learning,python,rest apis,learning,grus,ocr technologies,pytorch,git,generative adversarial networks,image classification,sql/nosql databases,kubernetes,docker,vector databases,rnns,diffusion,data Show more Show less

Particle41 is seeking a talented and versatile Data Engineer to join our innovative team. As a Data Engineer, you will play a key role in designing, building, and maintaining robust data pipelines and infrastructure to support our clients' data needs. You will work on end-to-end data solutions, collaborating with cross-functional teams to ensure high-quality, scalable, and efficient data delivery. This is an exciting opportunity to contribute to impactful projects, solve complex data challenges, and grow your skills in a supportive and dynamic environment. In This Role, You Will: Software Development Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines to process large volumes of data from diverse sources. Build and optimize data storage solutions, such as data lakes and data warehouses, to ensure efficient data retrieval and processing. Integrate structured and unstructured data from various internal and external systems to create a unified view for analysis. Ensure data accuracy, consistency, and completeness through rigorous validation, cleansing, and transformation processes. Maintain comprehensive documentation for data processes, tools, and systems while promoting best practices for efficient workflows. Requirements Gathering and Analysis Collaborate with product managers, and other stakeholders to gather requirements and translate them into technical solutions. Participate in requirement analysis sessions to understand business needs and user requirements. Provide technical insights and recommendations during the requirements-gathering process. Agile Development Participate in Agile development processes, including sprint planning, daily stand-ups, and sprint reviews. Work closely with Agile teams to deliver software solutions on time and within scope. Adapt to changing priorities and requirements in a fast-paced Agile environment. Testing and Debugging Conduct thorough testing and debugging to ensure the reliability, security, and performance of applications. Write unit tests and validate the functionality of developed features and individual elements. Writing integration tests to ensure different elements within a given application function as intended and meet desired requirements. Identify and resolve software defects, code smells, and performance bottlenecks. Continuous Learning and Innovation Stay updated with the latest technologies and trends in full-stack development. Propose innovative solutions to improve the performance, security, scalability, and maintainability of applications. Continuously seek opportunities to optimize and refactor existing codebase for better efficiency. Stay up to date with cloud platforms such as AWS, Azure, or Google Cloud Platform. Collaboration Collaborate effectively with cross-functional teams, including testers, and product managers. Foster a collaborative and inclusive work environment where ideas are shared and valued. Skills and Experience We Value: Bachelor's degree in computer science, Engineering, or related field. Proven experience as a Data Engineer, with a minimum of 3 years of experience. Proficiency in Python programming language. Experience with database technologies such as SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases. Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, datawarehousing/lakehouse, principles, database and ORM, data analysis databricks, panda's, Spark, Pyspark, Machine learning, OpenCV, scikit-learn. Utilities & Tools: logging, requests, subprocess, regex, pytest ELK stack, Redis, distributed task queues Strong understanding of data warehousing/lakehousing principles and concurrent/parallel processing concepts. Familiarity with at least one cloud data engineering stack (Azure, AWS, or GCP) and the ability to quickly learn and adapt to new ETL/ELT tools across various cloud providers. Familiarity with version control systems like Git and collaborative development workflows. Competence in working on Linux OS and creating shell scripts. Solid understanding of software engineering principles, design patterns, and best practices. Excellent problem-solving and analytical skills, with a keen attention to detail. Effective communication skills, both written and verbal, and the ability to collaborate in a team environment. Adaptability and willingness to learn new technologies and tools as needed. About Particle41 Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE ) E - Empowering: Enabling individuals to reach their full potential. L - Leadership: Taking initiative and guiding each other toward success. I - Innovation: Embracing creativity and new ideas to stay ahead. T - Teamwork: Collaborating with empathy to achieve common goals. E - Excellence: Striving for the highest quality in everything we do. We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring. We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com. Show more Show less

3-5 years of experience in company ofLabelling Data management & validation C++, python, pytorch, Tensorflow Hands on experience in C++, Python in development & validation. Professional SkillSW Domain Knowledge. Tool SkillPytorch & tensor flow Adaptability - Being able to adapt to changing environments and work processes What youll love about working here We recognize vendor by OEM Chennai as Capgemini employee. you will get an environment to maintain healthy work life balance. Have good experience in OEM experience. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Skills (competencies) C++

Introduction: A Career at HARMAN Automotive We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career. Engineer audio systems and integrated technology platforms that augment the driving experience Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence Advance in-vehicle infotainment, safety, efficiency, and enjoyment About The Role We're seeking an experienced Data engineer – “ Python ETL developer ” with 3 to 5 yrs exp. What You Will Do ETL Pipeline Investigation: Identify potential issues, notify end-users, and propose solutions. Documentation: Prepare and maintain documentation for ETL pipeline issues and troubleshooting. ETL Process Maintenance: Maintain and improve existing ETL processes. Testing and Validation: Support ETL testing and validate data models and quality. Issue Resolution: Clear ETL issues with minimal guidance. Reporting and Automation: Create reports using SQL and Excel, and automate reporting and clean-up activities. What You Need To Be Successful Experience: 3-5 years of experience Technical Skills: Technical Skills: SQL, Python, Pandas, NumPy, OpenCV. Scripting: Intermediate knowledge of Python scripting. Data Analysis: Basic understanding of data analysis and image processing. Data Visualization: Proficient in Excel and data visualization tools. Soft Skills: Attention to detail, problem-solving, and teamwork. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and collaboration skills Bonus Points if You Have Certification in Python and ETL side is added advantage What Makes You Eligible Strong technical skills: Proficiency in SQL, Python, and relevant libraries. Analytical mindset: Ability to analyze data and identify issues. Problem-solving skills: Ability to think critically and propose solutions. What We Offer Competitive salary and benefits package Opportunities for professional growth and development Collaborative and dynamic work environment Access to cutting-edge technologies and tools Recognition and rewards for outstanding performance through BeBrilliant Chance to work with a renowned German OEM You are expected to work all 5 days in a week You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! Show more Show less

We’re looking for a mid-to-senior AI Engineer with strong backend skills and experience in either LLM-based systems or physiological signal processing to join our team full-time in Dehradun. You’ll help us build production-ready AI solutions that serve both our mobile app and our health monitoring tools. You’ll work alongside a focused and collaborative team to build tools that power AI features for real-time insights, personalized recommendations, and health predictions. This is a research-heavy, hands-on engineering role requiring the ability to read papers, design prototypes, build robust APIs, and ship features into production. What You’ll Work On LLM-Focused Workstreams Build Python-based tools the LLM can call to: - Analyze user health data (metrics, goals, activity) - Recommend content from our health library (videos, articles) - Generate structured meal plans Design APIs and integrate AWS serverless infrastructure for our mobile app Develop RAG pipelines or vector DB-based solutions if applicable Computer Vision & Signal Processing Workstreams Improve and expand our physiological signal extraction models (e.g., rPPG for heart rate) Build ML models to predict health vitals and risk markers from video data Validate models using appropriate metrics (AUC, ROC, sensitivity, etc.) Maintain reproducibility through experiment tracking and rigorous documentation Tech Stack Languages/Tools: Python, Jupyter, GitHub, JSON, REST APIs Frameworks: scikit-learn, NumPy, pandas, OpenCV, (Optional: PyTorch/Keras) Cloud & Infra: AWS Lambda, S3, (Optional: Bedrock, LangChain, Vector DBs) What We Are Looking For: Must-Haves: 3–4+ years of backend or applied ML development using Python Experience with LLMs (e.g., LangChain, Bedrock, OpenAI APIs) or computer vision/signal processing Familiarity with structured data handling (REST, JSON) and serverless architectures (AWS Lambda) Strong grasp of ML model evaluation and ability to translate messy real-world data into clean pipelines Collaborative mindset with strong communication skills Comfortable working night shifts and from our Dehradun office Nice to Have: Experience with physiological signal extraction or biomedical ML Knowledge of RAG pipelines, vector databases Contributions to peer-reviewed research or healthcare AI projects Interest in healthcare, nutrition, or wellness industries We are looking for individuals who are not just technically skilled, but also aligned with our work culture and values: Work from Office: Willing to work full-time from our Dehradun office (No remote option). Night Shift Commitment: Comfortable working 5:00 PM to 2:00 AM IST, Monday to Friday (US Shift). Discipline & Responsibility: Punctuality and personal ownership of deliverables are non-negotiable. Team Collaboration: Must be proactive in communication, open to feedback, and collaborative in approach. Learning Attitude: Open to reading papers, exploring new techniques, and improving continuously. Confidentiality & Integrity: Must handle sensitive healthcare data with the utmost care and confidentiality. Professionalism: Able to work with focus, follow task timelines, and deliver clean, well-documented work. Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,500,000.00 per year Schedule: Monday to Friday Night shift US shift Application Question(s): Do you have experience with LLMs (e.g., LangChain, Bedrock, OpenAI APIs) or computer vision/signal processing? Education: Bachelor's (Required) Experience: Work: 3 years (Required) Language: English (Required) Shift availability: Night Shift (Required)

Job Description: Work plan development for the Image processing project Conducting research feasibility study from literature Geometric modeling and numerical simulation of the project prototype Handling design, analysis and development of the algorithm Data exploration through scientific methods Maintaining a record of field observations during development phase Image processing software documentation Monitoring the Image processing software performance periodically after every updates Enhancing the existing methodologies Feature updating for the existing products Requirements: Experience in design and development of algorithm Hands on experience in conventional image processing and pattern recognition algorithms Strong experience of C++ or Python programming language Strong working knowledge of Matlab, Opencv tools Knowledge in linear algebra Good analytics and problem solving skills Education : B.E / B. Tech in Electronics & Communication Engineering ( ECE ) Experience : Must have 2 to 8 years of experience in Relevant Field. Job Type: Full-time Pay: ₹30,000.00 - ₹80,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Supplemental Pay: Yearly bonus Work Location: In person

We are hiring an experienced AI Developer who specializes in computer vision, object detection, and OCR technologies. The ideal candidate will work closely with the development team to design, train, and deploy machine learning models that extract meaningful insights from visual data. You will be responsible for model training, data annotation, API integration, and creating end-to-end AI pipelines. Job Responsibilities Develop and fine-tune object detection models using YOLOv5/YOLOv8, Detectron2, or SSD Preprocess image data using OpenCV (contours, morphology, edge detection, etc.) Train custom models using labeled datasets, including bounding box annotations Use annotation tools such as CVAT, LabelImg, or Roboflow to label and manage datasets Prepare data in YOLO format, apply augmentation techniques to increase accuracy Integrate OCR engines such as Tesseract or EasyOCR to extract text from images Associate spatial text with detected objects using bounding box linking and proximity-based matching Build and deploy REST APIs using Flask or FastAPI for serving trained models Collaborate with frontend/backend developers to integrate AI models into applications Job Qualifications: Must-Have Skills Experience with YOLO (v5/v8), Detectron2, or SSD object detection models Proficient in image preprocessing techniques using OpenCV Hands-on experience with annotation tools like CVAT, LabelImg, or Roboflow Ability to prepare and format datasets for training (e.g., YOLO format, augmentation) Strong knowledge of OCR tools such as Tesseract OCR or EasyOCR Experience in linking spatial text with detected objects and proximity-based matching Proficiency in building RESTful APIs using Flask or FastAPI Solid understanding of Python, machine learning, and deep learning frameworks (e.g., PyTorch, TensorFlow) Nice to Have Knowledge of Docker, cloud deployment (AWS/GCP), and CI/CD practices Experience with model monitoring and performance optimization Familiarity with database technologies (e.g., MongoDB, PostgreSQL) Job Type: Full-time Benefits: Health insurance Provident Fund Schedule: Day shift Education: Bachelor's (Preferred) Experience: Python (PyTorch, TensorFlow): 1 year (Required) object detection Models: 1 year (Required) OpenCV: 1 year (Required) Location: Kulathur, Thiruvananthapuram, Kerala (Preferred) Work Location: In person Application Deadline: 30/06/2025

Role : Mobile Application Developer (Flutter) Location : Hyderabad Job Type : Full - Time Job Qualifications: - A minimum of 1+ years of experience in Flutter Development is required. Must deploy at least 2 -4 projects on the App Store or Google Play Store. Exposure in OpenCV and image processing over camera effects is a value addition. Experience in Native Development Kit (NDK)/SDK is a must. Demonstrated experience owning a feature from scratch over app development is a plus. User design patterns like MVVM, and MVC architecture are a must. Hands-on experience in Object Oriented Programming (OOPs)- The ability to adapt to new technologies is a must. TDD experience with the unit and testing is a plus. Should be versatile in an Agile environment Must be a great problem solver with solid Algos & D.S. and excellent verbal and written communication skills. Backend Knowledge of Node.js, MongoDB, MySQL and APIs is an added advantage Job Type: Full-time Pay: ₹300,000.00 - ₹500,000.00 per year Benefits: Food provided Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Work Location: In person Application Deadline: 01/06/2025 Expected Start Date: 03/06/2025

We are seeking a skilled and innovative Deep Learning Engineer to join our AI/ML team. As a Deep Learning Engineer, you will develop, train, and deploy computer vision models that solve complex visual problems. You will work on cutting-edge technology involving image processing, object detection, and video analysis, collaborating with cross-functional teams to create impactful real-world applications. Role: Data Scientist / Deep Learning Engineer Location: Pune General Summary Of The Role Develop and optimize computer vision models for object detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs). Work with OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR) for text extraction from images. Work with PyTorch, TensorFlow, OpenCV for deep learning and image processing. Implement sequence-based models (RNNs, LSTMs, GRUs) for vision tasks. Optimize software for real-time performance on multiple platforms. Implement and deploy AI models via Flask/FastAPI and integrate with SQL/NoSQL databases. Use Git/GitHub for version control and team collaboration. Apply ML algorithms (regression, decision trees, clustering) as needed. Review code, mentor team members, and enhance model efficiency. Stay updated with advancements in deep learning and multimodal AI. Required Skills & Qualifications Python proficiency for AI development. Experience with PyTorch, TensorFlow, and OpenCV. Knowledge of object detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs). Experience with OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR). Experience with RNNs, LSTMs, GRUs for sequence-based tasks. Experience with Generative Adversarial Networks (GANs) and Diffusion Models for image generation. Familiarity with REST APIs (Flask/FastAPI) and SQL/NoSQL databases. Strong problem-solving and real-time AI optimization skills. Experience with Git/GitHub for version control. Knowledge of Docker, Kubernetes, and model deployment at scale on serverless and onprem platforms. Understanding of vector databases (FAISS, Milvus). Preferred Qualifications Experience with cloud platforms (AWS, GCP, Azure). Experience with Vision Transformers (ViTs) and Generative AI (GANs, Stable Diffusion, LMMs). Familiarity with Frontend Technologies. Skills: computer vision,faster r-cnn,diffusion models,resnet,efficientnet,deep learning,python,ssd,github,crnn,git,fastapi,mobilenet,docker,kubernetes,rnns,azure,flask,gcp,models,platforms,opencv,tesseract,vits,databases,aws,classification,lstms,tensorflow,nosql,sql,yolo,learning,grus,pytorch,easyocr,generative adversarial networks (gans),milvus,trocr,faiss,diffusion Show more Show less