735 Opencv Jobs - Page 8

Job Title : AI Engineer Location: Chennai Experience: 5+ Years (Hands-On Data Science & AI) Employment Type: Full-Time Work type - Work from office. About the Role We are seeking a skilled AI Engineer with deep hands-on experience in ML, NLP, LLMs, GenAI, and Agentic AI to join our technology team focused on automating US mortgage loan processing workflows. This role involves designing intelligent, scalable solutions using cloud-native MLOps and advanced AI/LLM orchestration tools on Azure. Key Responsibilities Design and implement ML/NLP/GenAI pipelines for automating loan origination, underwriting, and document intelligence processes. Develop and deploy LLM-based solutions using tools like Ollama, OpenAI, HuggingFace, and integrate via LangChain or similar frameworks. Build and orchestrate Agentic AI systems (e.g., using LangChain Agents, AutoGen, CrewAI) to enable autonomous decision-making, task planning, and loan-processing agents. Fine-tune domain-specific LLMs and embeddings for intelligent document classification, summarization, and question answering. Develop end-to-end MLOps workflows for scalable training, testing, and monitoring of models. Deploy AI models and microservices using Azure (Azure ML, Functions, Blob Storage, App Services). Work with cross-functional teams to ensure compliance, explainability, and effectiveness of AI solutions. Leverage prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores for contextual mortgage document workflows. Required Skills & Qualifications 5+ years of hands-on experience in Machine Learning, NLP, or LLM-based systems. Proven expertise with LLMs (e.g., OpenAI, Ollama, GPT-4, Mistral) and LangChain / AutoGen / Agentic AI design. Proficiency in Python, Scikit-learn, PyTorch/TensorFlow, Spacy, HuggingFace Transformers. Strong knowledge of Azure Cloud including Azure ML, Azure Functions, Azure DevOps. Experience with MLOps tools like MLflow, Azure ML pipelines, or Kubeflow. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). Experience deploying models into production-scale environments. Nice to Have Understanding of US mortgage or lending workflows (1003, 1008, bank statements, etc.). Experience with OCR, document intelligence tools (Azure Form Recognizer, Amazon Textract). Exposure to Agentic AI concepts such as autonomous agents, planning, memory chaining. Knowledge of privacy and compliance frameworks (HIPAA, SOC2) in AI deployments. What We Offer Opportunity to lead GenAI and Agentic AI initiatives for mortgage automation. Access to top-tier tools, frameworks, and cloud platforms. Remote flexibility and career growth in an innovation-first team. Impactful work transforming legacy loan operations through AI. Interested candidates kindly share your resume to SGrace@ca-usa.com.

Solve Real-World Problems with Computer Vision & Deep Learning At NxtHyre, we re connecting exceptional AI talent with ambitious teams solving frontier challenges in 3D vision, edge AI, and real-time deployment. One such team is building a deep-tech product at the intersection of CV, AR/VR, and NVIDIA-powered edge systems and theyre looking for a Computer Vision + DL Engineer to join their mission. What Theyre Looking For: 4+ years in CV/DL Hands-on with PyTorch, TensorFlow, OpenCV Bonus: NVIDIA Jetson/Xavier, AR/VR, AWS If you re excited to work on AI that ships and scales let s talk. We ll help you explore opportunities that align with your skills, purpose, and pace. Role Responsibilities: Developing and optimizing computer vision algorithms for real-time applications. Collaborating with cross-functional teams to integrate CV/DL solutions into products. Implementing and deploying deep learning models on edge devices. Conducting research and staying updated with the latest advancements in CV/DL. Troubleshooting and improving existing AI models and systems for performance and accuracy. Documenting development processes, experiments, and results.

Hands on with C, C++, Python, Linux, C# Hands on with OpenCV, TensorFlow, Caffe, CUDA, OpenCL, OpenGL Hands-on experience with internals of networks (CNN/, RNN,/ DNN, /BNN,/LSTM, SSD etc) Customization of NN and improving performance

Designation: Computer Vision Engineer Location: Gurgaon Salary: Upto 35 LPA Working: 5 Days Experience: 5+ Years Key Responsibilities: -Design and fine-tune deep learning models for Text2SQL, TTS, and image generation tasks -Build and optimize Generative AI models using GPT, BERT, T5, Claude, and similar LLMs -Work with GANs (e.g., Wav2Lip, LipSync) for audio-visual synthesis -Leverage NVIDIA frameworks like Triton and Omniverse -Integrate AI models into scalable applications with optimal performance -Fine-tune models for domain-specific use cases with a focus on accuracy -Research advancements in NLP and diffusion models for fashion-based image generation -Deploy and maintain AI solutions in production environments -Build Retrieval-Augmented Generation (RAG) systems for better knowledge retrieval -Use and manage vector/graph databases to support AI implementations -Apply basic computer vision and image processing in real-world projects -Benchmark AI model performance using standard metrics and datasets -Develop custom object detection pipelines (YOLOv8, Faster R-CNN, SSD) -Work closely with engineers, scientists, and stakeholders to meet business needs Required Skills & Qualification: -5+ years in AI/ML with a focus on Generative AI and LLMs -Expert in Python, C++, and JavaScript -Strong with PyTorch, TensorFlow, and Keras -Experience in NLP, transformer models, and deep learning -Knowledge of ML Ops tools is a plus -Familiar with AWS, GCP, or Azure for cloud deployments -Experience with RAG systems, vector (e.g., Faiss, Pinecone) & graph databases (e.g., Neo4j) -Strong foundation in computer vision, CNNs, and object detection -Familiar with OpenCV, PIL, and Agentic AI tools (LangGraph, CrewAI, AutoGen) -Proficient in Flask, FastAPI, and WebSocket for serving AI models -Strong grasp of benchmarking standards like GLUE, ImageNet, BLEU, ROUGE, COCO

Work with broader team to buid, anayze and improve the AI soutions. You wi aso work with our software deveopers in consuming different enterprise appications Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Resource shoud have 5-7 years of experience. Sound knowedge of Python and shoud know how to use the ML reated services. Proficient in Python with focus on Data Anaytics Packages. Strategy Anayse arge, compex data sets and provide actionabe insights to inform business decisions. Strategy Design and impementing data modes that hep in identifying patterns and trends. Coaboration Work with data engineers to optimize and maintain data pipeines. Perform quantitative anayses that transate data into actionabe insights and provide anaytica, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data patform. Deveop and maintain data modes, agorithms, and statistica modes Preferred technica and professiona experience Experience with conversation anaytics. Experience with coud technoogies Experience with data exporation toos such as Tabeu

Responsibilities: * Design vision systems using OpenCV & Deep Learning with PyTorch * Develop image processing algorithms for sensor data analysis * Collaborate on computer vision projects from concept to implementation

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any and all capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset based securitization Spocto - Debt recovery & risk mitigation platform Corpository - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have on-boarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. About The Role We're looking for a highly skilled, results-driven AI Developer who thrives in fast-paced, high-impact environments. If you are passionate about pushing the boundaries of Computer Vision, OCR, NLP and and Large Language Models (LLMs) and have a strong foundation in building and deploying AI solutions, this role is for you. As a Lead Data Scientist, you will take ownership of designing and implementing state-of-the-art AI products. This role demands deep technical expertise, the ability to work autonomously, and a mindset that embraces complex challenges head-on. Here, you won't just fine-tune pre-trained models—you'll be architecting, optimizing, and scaling AI solutions that power real-world applications. Key Responsibilities Architect, develop, and deploy high-performance AI Solutions for real-world applications. Implement and optimize state-of-the-art LLM , OCR models and frameworks. Fine-tune and integrate LLMs (GPT, LLaMA, Mistral, etc.) to enhance text understanding and automation. Build and optimize end-to-end AI pipelines, ensuring efficient data processing and model deployment. Work closely with engineers to operationalize AI models in production (Docker, FastAPI, TensorRT, ONNX). Enhance GPU performance and model inference efficiency, applying techniques such as quantization and pruning. Stay ahead of industry advancements, continuously experimenting with new AI architectures and training techniques. Work in a highly dynamic, startup-like environment, balancing rapid experimentation with production-grade robustness. What We're Looking For Requirements Required Skills & Qualifications: Proven technical expertise – Strong programming skills in Python, PyTorch, TensorFlow with deep experience in NLP and LLM Hands-on experience in developing, training, and deploying LLM and Agentic workflows Strong background in vector databases, RAG pipelines, and fine-tuning LLMs for document intelligence. Deep understanding of Transformer-based architectures for vision and text processing. Experience working with Hugging Face, OpenCV, TensorRT, and NVIDIA GPUs for model acceleration. Autonomous problem solver – You take initiative, work independently, and drive projects from research to production. Strong experience in scaling AI solutions, including model optimization and deployment on cloud platforms (AWS/GCP/Azure). Thrives in fast-paced environments – You embrace challenges, pivot quickly, and execute effectively. Familiarity with MLOps tools (Docker, FastAPI, Kubernetes) for seamless model deployment. Experience in multi-modal models (Vision + Text). Good to Have Financial background and understanding corporate finance . Contributions to open-source AI projects.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI) We are looking for Indias 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, Whats 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 AIs 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 Register on our Soul AI website Our team will review your profile Clear all the screening rounds: Clear the assessments once you are shortlisted 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!

Position: AI Engineer Computer Vision & Deep Learning Location: Work From Office Hyderabad Hiring an AI Engineer having 5+ years of hands-on experience in AI, Machine Learning, and Computer Vision technologies. InovarTech is a dynamic and innovative IT service and consulting company dedicated to providing cutting-edge solutions to our clients. With a focus on excellence, collaboration, and continuous improvement, we are committed to delivering superior results and fostering a positive and inclusive work environment. We are seeking a skilled AI Engineer with 5+ years of expertise in Computer Vision and Deep Learning. The ideal candidate will have a strong track record of building innovative, production-ready AI solutions. Proficiency in developing robust ML models and applying modern AI frameworks is essential. Responsibilities: Strong hands-on experience in Python programming. Proven expertise with PyTorch and TensorFlow frameworks. Experience working with NumPy, Pandas and OpenCV libraries. Solid understanding and hands-on experience in Computer Vision and Image Processing (SIFT, SURF). Expertise in designing and implementing Neural Networks, including CNN architectures such as ResNet, YOLO or VGG. Proficiency in RNN, RCNN, LSTM or GRU models for sequence-based data. Experience in Video Analysis techniques and solutions. Ability to preprocess, clean, and manipulate large volumes of unstructured image/video data. Experience in training, fine-tuning, and deploying deep learning models. Understanding of model evaluation, hyperparameter tuning, and optimization techniques. Excellent problem-solving skills and ability to translate business problems into AI/ML solutions. Familiarity with cloud platforms and deployment of AI models will be a plus. Strong communication and presentation skills. Ability to collaborate and drive discussions with internal teams and clients. Requirements: Hands-on experience in building and deploying AI/ML solutions. Experience with Computer Vision tasks such as object detection, classification, segmentation, and tracking. Proficiency in model optimization for real-time applications. Good understanding of Machine Learning lifecycle and MLOps. Ability to write clean, modular, and scalable code. Should be willing to learn and adopt new AI technologies as per project needs. Experience supporting global clients/working with international teams is a plus. Should be willing to travel abroad based on customer requirements. Ability to mentor junior members in the team. Additional Information: Competitive salary and performance-related bonuses. Comprehensive health and accident insurance plans. Professional development opportunities. Flexible work arrangements. 5-day work week. Fun and inclusive company culture.

Experience: 3+ yrs Location: Delhi, India (On-site) Job Description Hypervise by Eternal Robotics is a cutting-edge industrial AI platform that enables real-time quality inspection, process control, and defect detection through advanced computer vision and deep learning technologies. We serve sectors such as automotive, apparel manufacturing, pharmaceuticals, and packaging by digitizing production lines and delivering operational efficiency through AI. Role Overview We are seeking a highly skilled and proactive Lead Engineer – Computer Vision to architect and lead the development of AI-powered inspection systems and edge deployments. This is a mission-critical role responsible for delivering robust, production-grade computer vision solutions while leading junior engineers across projects and deployments. The ideal candidate thrives in a fast-paced environment, combines strong technical execution with cross-functional collaboration, and has a passion for solving real-world industrial problems using vision AI. Key Responsibilities 1. Project Management & Technical Leadership Lead and monitor end-to-end execution of CV/AI projects, from requirement gathering to final deployment. Collaborate with cross-functional teams (Product, Hardware, QA, Customer Success) to align project milestones. Regularly update stakeholders and prepare detailed technical and status reports. 2. Client Engagement & Time Management Engage with customers to understand and translate use-case requirements into engineering specifications. Manage expectations on delivery timelines and provide technical demonstrations or updates. Support sales/pre-sales efforts with feasibility analysis, proof-of-concept (PoC) development, and architecture design. 3. CV Pipeline Development & Code Quality Design scalable and reusable CV pipelines using best practices in modular software architecture. Lead code reviews and mentor junior team members to ensure consistency and maintainability. Integrate components including ML models, camera streams, and decision layers. 4. Model Development & Optimization Train, evaluate, and optimize object detection, classification, and segmentation models. Utilize frameworks such as TensorFlow, PyTorch, and OpenCV, with an emphasis on YOLO, DeepStream, and Jetson-compatible models. Implement pre- and post-processing pipelines to address challenging industrial imaging conditions. 5. Testing, QA & Deployment Create test cases and validation protocols to verify system performance against customer specs. Supervise on-site and remote deployments; ensure robust integration of edge devices like Jetson Xavier/Nano and industrial cameras. Provide deployment support including remote debugging, calibration, and performance tuning. 6. Continuous Improvement & Innovation Experiment with state-of-the-art models and libraries to enhance detection accuracy and reduce latency. Identify and act on opportunities to improve system resilience, processing speed, and resource utilization. Contribute to IP generation and internal technical documentation. Key Performance Indicators (KPIs) Model Accuracy: Precision and recall metrics in real production environments System Deployments: Number and success rate of on-time installations Resolution Time: Average TAT for solving deployment or inference issues On-Time Delivery: Project milestone adherence across sprints Quality of Deliverables: Based on code audits, testing coverage, and system stability Customer Feedback: Direct user feedback and CSAT/NPS post-deployment Required Qualifications & Experience Education: Bachelor’s degree in Electronics, Computer Science, or a related field. Advanced degrees or certifications in AI/ML are a plus. Experience: 3+ years of hands-on experience in developing computer vision solutions, ideally in manufacturing, robotics, or industrial automation. Domain Knowledge: Experience with industrial cameras, inspection systems, and edge computing setups is highly preferred. Technical Skills Languages: Python (primary), C++ (desirable) Frameworks/Libraries: OpenCV, TensorFlow, PyTorch, YOLO, DeepStream Edge Computing: Jetson Nano/Xavier, deployment on embedded devices Operating Systems: Linux (Ubuntu preferred), bash scripting Integration: ROS, MQTT, GStreamer, Modbus/TCP/IP DevOps: Git/GitHub, Docker, CI/CD familiarity Tools: VS Code, Jupyter, NVIDIA Nsight, camera SDKs (FLIR, Basler, IDS, etc.) Soft Skills Strong analytical and debugging skills with a detail-oriented mindset Clear and concise communication across technical and non-technical teams Ownership mindset with the ability to lead and mentor junior engineers Comfortable in agile, deadline-driven environments and willing to take initiative Why Join Us? Build real-world AI systems that impact global production lines Work in a cross-disciplinary team of engineers, designers, and domain experts Fast-track your growth in a company at the forefront of AI transformation in manufacturing Access cutting-edge tools, datasets, and continuous learning opportunities

Job Overview We are seeking a dynamic AI/ML Executive who can lead end-to-end AI/ML projects , manage a small team, and deploy scalable solutions. The ideal candidate will have experience with core ML workflows and MLOps, and a strong grasp of AI functionalities such as Computer Vision, NLP, and Object Detection . Key Responsibilities Design and execute end-to-end AI/ML pipelines for real-world applications. Build and manage models in domains such as: Computer Vision (e.g., image classification, object detection, OCR) Natural Language Processing (NLP) (e.g., text classification, summarization, chatbots) Collaborate with cross-functional teams to translate business needs into technical solutions. Build and maintain REST APIs using FastAPI or similar frameworks. Deploy models using Kubernetes/Docker , with attention to scalability and monitoring. Mentor junior team members and oversee project timelines. Required Skills Strong programming skills in Python Experience with TensorFlow, PyTorch, OpenCV, HuggingFace, spaCy, YOLO , or similar frameworks Hands-on with MLOps tools : MLflow, DVC, or Kubeflow Model deployment using FastAPI , Docker , and Kubernetes Solid understanding of data preprocessing, model training, and evaluation for both structured and unstructured data Familiarity with version control (Git), CI/CD pipelines, and cloud platforms (AWS/GCP preferred) Preferred Qualifications Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related fields Prior experience leading small AI/ML teams or projects Exposure to geospatial AI, satellite imagery, or edge AI (bonus) W. Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Work Location: In person

Summary Position Summary DT-US Product Engineering - Data Scientist Manager We are seeking an exceptional Data Scientist who combines deep expertise in AI/ML with a strong focus on data quality and advanced analytics. This role requires a proven track record in developing production-grade machine learning solutions, implementing robust data quality frameworks, and leveraging cutting-edge analytical tools to drive business transformation through data-driven insights . Work you will do The Data Scientist will be responsible for developing and implementing end-to-end AI/ML solutions while ensuring data quality excellence across all stages of the data lifecycle. This role requires extensive experience in modern data science platforms, AI frameworks, and analytical tools, with a focus on scalable and production-ready implementations. Project Leadership and Management: Lead complex data science initiatives utilizing Databricks, Dataiku, and modern AI/ML frameworks for end-to-end solution development Establish and maintain data quality frameworks and metrics across all stages of model development Design and implement data validation pipelines and quality control mechanisms for both structured and unstructured data Strategic Development: Develop and deploy advanced machine learning models, including deep learning and generative AI solutions Design and implement automated data quality monitoring systems and anomaly detection frameworks Create and maintain MLOps pipelines for model deployment, monitoring, and maintenance Team Mentoring and Development: Lead and mentor a team of data scientists and analysts, fostering a culture of technical excellence and continuous learning Develop and implement training programs to enhance team capabilities in emerging technologies and methodologies Establish performance metrics and career development pathways for team members Drive knowledge sharing initiatives and best practices across the organization Provide technical guidance and code reviews to ensure high-quality deliverables Data Quality and Governance: Establish data quality standards and best practices for data collection, preprocessing, and feature engineering Implement data validation frameworks and quality checks throughout the ML pipeline Design and maintain data documentation systems and metadata management processes Lead initiatives for data quality improvement and standardization across projects Technical Implementation: Design, develop and deploy end-to-end AI/ML solutions using modern frameworks including TensorFlow, PyTorch, scikit-learn, XGBoost for machine learning, BERT and GPT for NLP, and OpenCV for computer vision applications Architect and implement robust data processing pipelines leveraging enterprise platforms like Databricks, Apache Spark, Pandas for data transformation, Dataiku and Apache Airflow for ETL/ELT processes, and DVC for data version control Establish and maintain production-grade MLOps practices including model deployment, monitoring, A/B testing, and continuous integration/deployment pipelines Technical Expertise Requirements: Must Have: Enterprise AI/ML Platforms: Demonstrate mastery of Databricks for large-scale processing, with proven ability to architect solutions at scale Programming & Analysis: Advanced Python (NumPy, Pandas, scikit-learn), SQL, PySpark with production-level expertise Machine Learning: Deep expertise in TensorFlow or PyTorch, and scikit-learn with proven implementation experience Big Data Technologies: Advanced knowledge of Apache Spark, Databricks, and distributed computing architectures Cloud Platforms: Strong experience with at least one major cloud platform (AWS/Azure/GCP) and their ML services (SageMaker/Azure ML/Vertex AI) Data Processing & Analytics: Extensive experience with enterprise-grade data processing tools and ETL pipelines MLOps & Infrastructure: Proven experience in model deployment, monitoring, and maintaining production ML systems Data Quality: Experience implementing comprehensive data quality frameworks and validation systems Version Control & Collaboration: Strong proficiency with Git, JIRA, and collaborative development practices Database Systems: Expert-level knowledge of both SQL and NoSQL databases for large-scale data management Visualization Tools: Tableau, Power BI, Plotly, Seaborn Large Language Models: Experience with GPT, BERT, LLaMA, and fine-tuning methodologies Good to Have: Additional Programming: R, Julia Additional Big Data: Hadoop, Hive, Apache Kafka Multi-Cloud: Experience across AWS, Azure, and GCP platforms Advanced Analytics: Dataiku, H2O.ai Additional MLOps: MLflow, Kubeflow, DVC (Data Version Control) Data Quality & Validation: Great Expectations, Deequ, Apache Griffin Business Intelligence: SAP HANA, SAP Business Objects, SAP BW Specialized Databases: Cassandra, MongoDB, Neo4j Container Orchestration: Kubernetes, Docker Additional Collaboration Tools: Confluence, BitBucket Education: Advanced degree in quantitative discipline (Statistics, Math, Computer Science, Engineering) or relevant experience. Qualifications: 10-13 years of experience with data mining, statistical modeling tools and underlying algorithms. 5+ years of experience with data analysis software for large scale analysis of structured and unstructured data. Proven track record of leading and delivering large-scale machine learning projects, including production model deployment, data quality framework implementation and experience with very large datasets to create data-driven insights thru predictive and prescriptive analytic models. E xtensive knowledge of supervised and unsupervised analytic modeling techniques such as linear and logistic regression, support vector machines, decision trees / random forests, Naïve-Bayesian, neural networks, association rules, text mining, and k-nearest neighbors among other clustering models. Extensive experience with deep learning frameworks, automated ML platforms, data processing tools (Databricks Delta Lake, Apache Spark), analytics platforms (Tableau, Power BI), and major cloud providers (AWS, Azure, GCP) Experience architecting and implementing enterprise-grade solutions using cloud-native ML services while ensuring cost optimization and performance efficiency Strong track record of team leadership, stakeholder management, and driving technical excellence across multiple concurrent projects Expert-level proficiency in Python, R, and SQL, with deep understanding of statistical analysis, hypothesis testing, feature engineering, model evaluation, and validation techniques in production environments Demonstrated leadership experience in implementing MLOps practices, including model monitoring, A/B testing frameworks, and maintaining production ML systems at scale. Working knowledge of supervised and unsupervised learning techniques, such as Regression/Generalized Linear Models, decision tree analysis, boosting and bagging, Principal Components Analysis, and clustering methods. Strong oral and written communication skills, including presentation skills The Team Information Technology Services (ITS) helps power Deloitte’s success. ITS drives Deloitte, which serves many of the world’s largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The ~3,000 professionals in ITS deliver services including: Security, risk & compliance Technology support Infrastructure Applications Relationship management Strategy Deployment PMO Financials Communications Product Engineering (PxE) Product Engineering (PxE) team is the internal software and applications development team responsible for delivering leading-edge technologies to Deloitte professionals. Their broad portfolio includes web and mobile productivity tools that empower our people to log expenses, enter timesheets, book travel and more, anywhere, anytime. PxE enables our client service professionals through a comprehensive suite of applications across the business lines. In addition to application delivery, PxE offers full-scale design services, a robust mobile portfolio, cutting-edge analytics, and innovative custom development. Work Location: Hyderabad Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303069 Show more Show less

Overview The Executive Vice President of the Data Intelligence Group will lead, mentor, and develop a team of Associates and Analysts. This role involves overseeing and driving initiatives related to data migration, data management, architecture, and advanced analytics for our clients. We seek a strategic leader with a proven track record in managing large-scale data projects, advanced analytics, and expertise in Big Data technologies. The ideal candidate will have deep knowledge in Machine Learning (ML), Artificial Intelligence (AI), and a foundational understanding of Generative AI. This position offers a dynamic path for learning and growth, with high exposure to stakeholder management and client engagement. Key Responsibilities: Lead and manage large-scale data migration projects, ensuring successful execution and stakeholder satisfaction Develop and implement data management strategies and architectural frameworks that support business objectives Oversee advanced analytics initiatives, leveraging data to inform strategic decision-making Consult and interact regularly with clients, acting as a thought partner to understand their needs and drive value Collaborate with cross-functional teams to deploy ML models and AI solutions that drive innovation and efficiency Manage teams working across multiple projects for different clients, ensuring high performance and effective collaboration Foster a culture of continuous improvement, encouraging the team to adopt best practices in data engineering and analytics Mentor and develop team members, nurturing talent in areas such as NLP, predictive analytics, and LLMs Stay abreast of industry trends and technologies, ensuring the organization remains competitive in data analytics and management Familiarity with a variety of data-related fields, including but not limited to: Data Engineering and Management Artificial Intelligence (ML, Deep Learning, Generative AI) Cloud Architecture and Analytics (Azure, AWS, GCP) DevOps and Platform Engineering Software Development and Application Architecture Business Intelligence Solutions (Power BI, Tableau) Qualifications 10+ years of experience in data management, solution architecture, analytics, and project oversight Proven experience in managing large-scale data migration and complex analytics projects Strong experience in cloud architecture and solution design Strong background in Machine Learning, AI, and Generative AI Experience in the BFSI sector is preferred Education Bachelors degree in Technology (B.Tech) or Master of Computer Applications (MCA) is required; MBA or MS preferred Compensation The compensation structure will be as per industry standard

About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia. Job Title: AI - ML Developer Key Skills: image analytics, computer vision, and visual data processing, Python, Gen AI Job Locations: Hyderabad Experience: 6 – 10 Years Budget: 16 – 20 LPA Education Qualification : Any Graduation Work Mode: Hybrid Employment Type: Contract Notice Period: Immediate - 15 Days Interview Mode: 2 Rounds of Technical Interview + Including Client round Job Description: Key Focus Areas: · Image Analytics & Computer Vision (CV) · Machine Learning & Deep Learning · Predictive Analytics & Optimization · Generative AI (GenAI) & NLP (as secondary skills) Primary Responsibilities: · Lead and contribute to projects centered around image analytics, computer vision, and visual data processing. · Develop and deploy CV models for tasks such as object detection, image classification, pattern recognition, and anomaly detection. · Apply deep learning frameworks (e.g., TensorFlow, Keras) to solve complex visual data challenges. · Integrate multi-sensor data fusion and multivariate analysis for industrial applications. · Collaborate with cross-functional teams to implement predictive maintenance, fault detection, and process monitoring solutions using visual and sensor data. Mandatory Skills: · Strong hands-on experience in Computer Vision and Image Analytics. · Proficiency in Python and familiarity with AI/ML libraries such as OpenCV, TensorFlow, Keras, scikit-learn, and Matplotlib. · Solid understanding of machine learning techniques: classification, regression, clustering, anomaly detection, etc. · Experience with deep learning architectures (CNNs, autoencoders, etc.) for image-based applications. · Familiarity with Generative AI and LLMs is a plus. Desirable Skills: · Knowledge of optimization techniques and simulation modeling. · Domain experience in Oil & Gas, Desalination, Motors & Pumps, or Industrial Systems. Educational & Professional Background: · Bachelor’s or Master’s degree in Engineering (Mechanical, Electrical, Electronics, Chemical preferred). · Master’s in Industrial/Manufacturing/Production Engineering is a strong plus. · Demonstrated experience in solving real-world industrial problems using data-driven approaches. Soft Skills & Attributes: · Strong analytical and problem-solving skills. · Ability to work independently and manage multiple projects. · Excellent communication and stakeholder engagement skills. · Proven thought leadership and innovation in AI/ML applications. Interested Candidates please share your CV to pnomula@people-prime.com Show more Show less

Experience: 3+ yrs Location: Delhi, India (On-site) Job Description Hypervise by Eternal Robotics is a cutting-edge industrial AI platform that enables real-time quality inspection, process control, and defect detection through advanced computer vision and deep learning technologies. We serve sectors such as automotive, apparel manufacturing, pharmaceuticals, and packaging by digitizing production lines and delivering operational efficiency through AI. Role Overview We are seeking a highly skilled and proactive Lead Engineer – Computer Vision to architect and lead the development of AI-powered inspection systems and edge deployments. This is a mission-critical role responsible for delivering robust, production-grade computer vision solutions while leading junior engineers across projects and deployments. The ideal candidate thrives in a fast-paced environment, combines strong technical execution with cross-functional collaboration, and has a passion for solving real-world industrial problems using vision AI. Key Responsibilities 1. Project Management & Technical Leadership Lead and monitor end-to-end execution of CV/AI projects, from requirement gathering to final deployment. Collaborate with cross-functional teams (Product, Hardware, QA, Customer Success) to align project milestones. Regularly update stakeholders and prepare detailed technical and status reports. 2. Client Engagement & Time Management Engage with customers to understand and translate use-case requirements into engineering specifications. Manage expectations on delivery timelines and provide technical demonstrations or updates. Support sales/pre-sales efforts with feasibility analysis, proof-of-concept (PoC) development, and architecture design. 3. CV Pipeline Development & Code Quality Design scalable and reusable CV pipelines using best practices in modular software architecture. Lead code reviews and mentor junior team members to ensure consistency and maintainability. Integrate components including ML models, camera streams, and decision layers. 4. Model Development & Optimization Train, evaluate, and optimize object detection, classification, and segmentation models. Utilize frameworks such as TensorFlow, PyTorch, and OpenCV, with an emphasis on YOLO, DeepStream, and Jetson-compatible models. Implement pre- and post-processing pipelines to address challenging industrial imaging conditions. 5. Testing, QA & Deployment Create test cases and validation protocols to verify system performance against customer specs. Supervise on-site and remote deployments; ensure robust integration of edge devices like Jetson Xavier/Nano and industrial cameras. Provide deployment support including remote debugging, calibration, and performance tuning. 6. Continuous Improvement & Innovation Experiment with state-of-the-art models and libraries to enhance detection accuracy and reduce latency. Identify and act on opportunities to improve system resilience, processing speed, and resource utilization. Contribute to IP generation and internal technical documentation. Key Performance Indicators (KPIs) Model Accuracy: Precision and recall metrics in real production environments System Deployments: Number and success rate of on-time installations Resolution Time: Average TAT for solving deployment or inference issues On-Time Delivery: Project milestone adherence across sprints Quality of Deliverables: Based on code audits, testing coverage, and system stability Customer Feedback: Direct user feedback and CSAT/NPS post-deployment Required Qualifications & Experience Education: Bachelor’s degree in Electronics, Computer Science, or a related field. Advanced degrees or certifications in AI/ML are a plus. Experience: 3+ years of hands-on experience in developing computer vision solutions, ideally in manufacturing, robotics, or industrial automation. Domain Knowledge: Experience with industrial cameras, inspection systems, and edge computing setups is highly preferred. Technical Skills Languages: Python (primary), C++ (desirable) Frameworks/Libraries: OpenCV, TensorFlow, PyTorch, YOLO, DeepStream Edge Computing: Jetson Nano/Xavier, deployment on embedded devices Operating Systems: Linux (Ubuntu preferred), bash scripting Integration: ROS, MQTT, GStreamer, Modbus/TCP/IP DevOps: Git/GitHub, Docker, CI/CD familiarity Tools: VS Code, Jupyter, NVIDIA Nsight, camera SDKs (FLIR, Basler, IDS, etc.) Soft Skills Strong analytical and debugging skills with a detail-oriented mindset Clear and concise communication across technical and non-technical teams Ownership mindset with the ability to lead and mentor junior engineers Comfortable in agile, deadline-driven environments and willing to take initiative Why Join Us? Build real-world AI systems that impact global production lines Work in a cross-disciplinary team of engineers, designers, and domain experts Fast-track your growth in a company at the forefront of AI transformation in manufacturing Access cutting-edge tools, datasets, and continuous learning opportunities

Job description Position: Computer Vision Engineer Experience Level : 5-12 yrs Location : Madurai/Coimbatore Type : Full-time Vacancy :03 Note: Immediate Joiners preferred Job Overview : We are looking for an experienced Computer Vision Engineer with expertise in image processing, machine learning, and deep learning. The ideal candidate should have hands-on experience developing and deploying computer vision algorithms and deep learning models using Python, OpenCV, and YOLO, along with proficiency in CUDA and NumPy. This role involves research, model optimization, and real-world deployment of cutting-edge computer vision solutions. Key Responsibilities : Develop and deploy computer vision algorithms and deep learning models for diverse applications. Design and implement computer vision models using state-of-the-art techniques and frameworks. Explore and analyze unstructured data like images through image processing techniques Analyze, evaluate, and optimize existing computer vision systems for improved performance and accuracy. Test and validate computer vision code and models, ensuring robustness and reliability Research and implement new computer vision technologies to stay at the forefront of the field. Collaborate with cross-functional teams to develop innovative solutions meeting project requirements Monitor the performance and accuracy of deployed computer vision models, making necessary adjustments. Maintain and update computer vision systems to ensure their continued functionality and relevance. Provide technical support and guidance to team members and customers using computer vision systems. Requirements : Bachelor's degree in Computer Science or a related field and above. Proven experience in developing and deploying computer vision systems. Strong knowledge of computer vision algorithms, libraries, and tools such as: OpenCV, TensorFlow, PyTorch, Keras, NumPy, scikit-image, Matplotlib, Seaborn, YOLO, etc. Familiarity with GPU acceleration and optimization tools like CUDA, OpenCL, OpenGL. Expertise in computer vision applications, including : Object detection, image classification, text detection & OCR, face detection, generative models, video analytics, object tracking, and model compression/optimization. Experience with runtime AI frameworks such as ONNX, TensorRT, OpenVINO. Hands-on experience with cloud platforms (AWS, Azure), Docker, Kubernetes, and GitHub Experience in training models using GPU computing or cloud-based environments. Familiarity with machine learning and deep learning concepts and frameworks. Strong problem-solving and analytical skills. Ability to work independently in a fast-paced environment and collaborate effectively in a team. Preferred Qualifications : Experience in real-time video processing and streaming analytics. Knowledge of Edge AI and deployment on embedded systems. Exposure to 3D vision, SLAM, and depth estimation. Contributions to open-source computer vision projects. Interested candidates may email their resumes to mail to: info@sumanastech.com Or contact via Call or WhatsApp at 9952870443 8870444768 You can take a look at our Company Profile here: https://www.sumanastech.com/

Analyze and transform data science prototypes Develop ML applications as per requirements Run machine learning tests and experiments Perform analysis and fine-tuning of models using test results Train and retrain ML models when necessary Primary Skills Experience working on Cloud platforms, preferably AWS Proven experience as Machine Learning Engineer Experience in AWS Sagemaker Understanding of data structures, data modeling and software architecture Ability to write robust code in Python Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills

Role & responsibilities Work Mode : Hybrid (3 Days work from Office)- Subjected to change in future Shift timings- 2pm- 10 pm 5pm- 1 am We are seeking a highly skilled and motivated Senior Software Engineer with a strong background in C#/.Net development , medical imaging , and device integration to join our team. You will play a key role in developing and maintaining advanced dental imaging software, integrating with CBCT, panoramic, and intraoral devices, and ensuring compliance with healthcare standards. Key Responsibilities Design, develop, and maintain high-performance c#, WPF applications. Collaborate with cross-functional teams to define, design, and implement new features. Optimize existing code to improve performance, reliability, and maintainability. Conduct code reviews and provide mentorship to junior developers. Develop and execute software verification plans and quality assurance procedures. Troubleshoot, debug, and upgrade existing systems. Document software functionality and maintain comprehensive technical documentation. Stay updated with the latest industry trends and technologies to ensure the application remains cutting-edge. Required Qualifications Bachelor's or master's degree in computer science, Biomedical Engineering, or related field. 7+ years of experience in software development with C#, WPF and .NET . Strong understanding of SQL Server , database design, and data integrity principles. Experience supporting/maintaining 2D/3D visualization using WebGL , OpenGL , DirectX , or OpenCV . Technical Skills Design, develop, and maintain desktop applications using C# and the .NET Framework . Experience with Message broker like RabbitMQ, kafka Implement and optimize SQL Server databases for storing patient data and imaging metadata. Experience integrating with CBCT, panoramic, and intraoral devices Integrate with imaging devices using SDKs , APIs , and third-party drivers . Work with DICOM standards and medical imaging formats to support radiological workflows. Experience in supporting/maintaining 2D/3D visualization using OpenGL , DirectX , or OpenCV . Ensure interoperability with healthcare systems using HL7 , FHIR , and other standards. Implement AWS -based solutions that are HIPAA/GDPR compliant

Role & responsibilities Design, develop, and maintain high-performance c#, WPF applications. Collaborate with cross-functional teams to define, design, and implement new features. Optimize existing code to improve performance, reliability, and maintainability. Conduct code reviews and provide mentorship to junior developers. Develop and execute software verification plans and quality assurance procedures. Troubleshoot, debug, and upgrade existing systems. Document software functionality and maintain comprehensive technical documentation. Stay updated with the latest industry trends and technologies to ensure the application remains cutting-edge. Required Qualifications Bachelor's or master's degree in computer science, Biomedical Engineering, or related field. 7+ years of experience in software development with C#, WPF and .NET . Strong understanding of SQL Server , database design, and data integrity principles. Experience supporting/maintaining 2D/3D visualization using WebGL , OpenGL , DirectX , or OpenCV . Technical Skills Design, develop, and maintain desktop applications using C# and the .NET Framework . Experience with Message broker like RabbitMQ, kafka Implement and optimize SQL Server databases for storing patient data and imaging metadata. Experience integrating with CBCT, panoramic, and intraoral devices Integrate with imaging devices using SDKs , APIs , and third-party drivers . Work with DICOM standards and medical imaging formats to support radiological workflows. Experience in supporting/maintaining 2D/3D visualization using OpenGL , DirectX , or OpenCV . Ensure interoperability with healthcare systems using HL7 , FHIR , and other standards. Implement AWS -based solutions that are HIPAA/GDPR compliant.

About Markovate: At Markovate, we build next-gen AI solutions that help businesses scale intelligently and stay future-ready. From cutting-edge Generative AI applications to computer vision and intelligent automation, our team transforms AI research into real-world products. We're now expanding our AI/ML leadership and looking for a driven, hands-on Lead AI/ML Engineer to guide the next wave of innovation. Why This Role is Exciting: You'll lead mission-critical AI initiatives from concept to deployment. Architect intelligent systems that directly impact global clients. Work with cross-functional teams to bring ML solutions to production at scale. Stay at the forefront of GenAI, MLOps, and LLM integration. Join a high-growth, innovation-first culture with real ownership. What You'll Do: Design and deploy scalable ML and GenAI models for diverse applications, including forecasting, recommendation, NLP, and computer vision. Lead a team of AI/ML and software engineers—providing architectural direction, code reviews, and mentorship. Translate complex business needs into actionable AI solutions. Own full ML pipelines: data ingestion, feature engineering, training, deployment, monitoring. Collaborate with product, data, and engineering teams to deliver impactful solutions. Apply best practices in MLOps, model versioning, retraining, and performance tracking. Stay current on the latest in LLMs, Transformers, Vision Models, and Foundation Models. Drive AI integration into full-stack applications and APIs. What We’re Looking For: 5+ years of experience in AI/ML or data science roles, with at least 1–2 years in a technical leadership capacity. Deep hands-on experience with Python, TensorFlow/PyTorch, and GenAI frameworks (e.g., Hugging Face Transformers, Lang Chain, Open AI API). Experience in computer vision (OpenCV, YOLO, segmentation models) or agentic AI. Experience deploying ML models in production using Docker, FastAPI, AWS/GCP/Azure. Exposure to MLOps tools (MLflow, Airflow, CI/CD pipelines). Solid understanding of model performance tuning, experimentation, and lifecycle management. Background in full-stack development (JavaScript/Node/React) is a plus. Strong problem-solving mindset, clear communication, and collaborative leadership style. Show more Show less

🧠 About Us Pentagon Studio is a technology company building innovative AI and computer vision solutions across domains like image analysis, matching, and automation. Our work lies at the intersection of machine learning, creative technologies, and deep visual intelligence. We’re actively developing products that require precise visual understanding, measurement extraction, pattern recognition, and advanced image matching. We are looking for a seasoned Computer Vision Research Consultant to join us part-time as a technical guide and advisor . This is a strategic consulting role designed for an expert who enjoys helping shape the direction of applied computer vision products and wants to collaborate with a technical team already in execution. 🔧 Role Responsibilities Guide and validate computer vision architecture and approaches across multiple products. Suggest suitable techniques for problems like: Visual measurement from photographs Texture/pattern matching across large image datasets 2D/3D reconstruction and geometry estimation Feature extraction and similarity scoring Provide research insight into relevant papers, pre-trained models, and best practices Review models or prototype results and recommend improvements Help ensure that solutions are both technically sound and practically scalable ✅ Ideal Background 5+ years of experience in computer vision R&D or applied ML/AI engineering Advanced degree (preferably PhD or Master’s with publications) in Computer Vision, Machine Learning, or related fields Experience with: Feature-based or learning-based image matching Object detection, segmentation, and measurement extraction Tools like OpenCV, PyTorch, TensorFlow, Detectron2, etc. Bonus: Familiarity with 3D reconstruction or VR/AR pipelines Experience with projects involving scientific imaging or material/textural analysis 💡 What You’ll Get Freedom to work remotely with flexible hours (avg. 10–15 hrs/week) A lean and technically competent team eager to build with your guidance An opportunity to shape impactful, real-world AI products Competitive pay for advisory-level involvement 📬 How to Apply 👉 Apply via LinkedIn Show more Show less

Job Description: Embedded AI Engineer Location: Dwarka Sector 12 Delhi Job Type: Full-Time / Contract / Freelance Job Description: We are seeking a skilled and motivated Embedded AI Engineer to develop and optimize a voice assistant system on resource-constrained devices like the ESP32-S3. You will be responsible for implementing wake word detection, voice activity detection (VAD), and basic speech command recognition using Espressif's ESP-SR framework, I2S microphones, and embedded ML models. And also, they have experience in computer vision-based project through that we can monitor particular object in Realtime using thermal and normal camera. Responsibilities: - Design and implement embedded voice assistant pipelines using ESP-SR, ESP-IDF, or PlatformIO. - Integrate I2S digital microphones (e.g., INMP441, DFPlayer) with ESP32 for real-time audio capture. - Develop wake word detection, VAD, and command recognition using models like WakeNet, MultiNet, or TinyML-based solutions. - - Optimize AI models and inference for ultra-low-power operation. - Manage real-time tasks using FreeRTOS on ESP32 platforms. - Interface with peripherals like SD cards, LEDs, relays, and Wi-Fi/BLE modules. - Debug, profile, and optimize memory and performance on constrained hardware. Required Skills: - Strong proficiency in C/C++ and embedded development for ESP32. - Experience with ESP-IDF, PlatformIO, or Arduino ESP32 core. - Practical knowledge of voice processing algorithms: VAD, wake word, STT. - Experience using or modifying ESP-SR, ESP-Skainet, or custom keyword spotting models. - Familiarity with I2S, DMA, and audio pre-processing (gain control, filtering). - Understanding of FreeRTOS, low-power modes, and real-time audio handling. Preferred/Bonus Skills: - Experience with TinyML, TensorFlow Lite for Microcontrollers, or Edge Impulse. - Knowledge of Python for data preprocessing and model training. - They have knowledge and experience in computer vision (OpenCV, image processing). - They have also knowledge and experience in Deep learning/AI for vision (like CNN, YOLO or Faster-R CNN, pytorch, TensorFlow, keras) - Having Experience on Nvidia Jetson Nano/Orin based device. - Experience with Bluetooth (BLE) or Wi-Fi communication for IoT applications. - Experience in noise reduction (e.g., NSNet), echo cancellation, or ESP-DSP. Qualifications: - Bachelor's or Master's degree in Electronics, Embedded Systems, Computer Engineering, or related field. - 2+ years of experience in embedded firmware or AI on edge devices. Why Join Us? - Work on cutting-edge embedded AI products for consumer and industrial voice control. - Opportunity to shape next-gen low-power voice assistant hardware. - Flexible remote work options and tech ownership. How to Apply: Send your resume, GitHub/portfolio, and any project demos to: Email: hr@gfofireequipments.com Job Type: Full-time Pay: From ₹100,000.00 per month Schedule: Day shift Work Location: In person

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

Dear Candidate, We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI , Cognitive Services, Machine Learning , and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services . Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub , Edge , or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

Design, develop, and deploy machine learning models and algorithms using Python. Implement computer vision solutions for image and video analysis. Develop natural language processing (NLP) applications for text analysis and understanding. Utilize analytics workbench tools to create and manage data pipelines and workflows. Collaborate with data scientists, software engineers, and other stakeholders to understand project requirements and deliver effective solutions. Conduct research and stay updated with the latest advancements in AI and ML technologies. Ensure the scalability and performance of AI/ML solutions through rigorous testing and optimization. Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as an AI/ML Engineer or similar role. Strong proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in computer vision techniques and tools (e.g., OpenCV, YOLO, Mask R-CNN). c (e.g., NLTK, spaCy, Transformers). Familiarity with analytics workbench tools and data pipeline management. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Knowledge of big data technologies (e.g., Hadoop, Spark). Show more Show less