15 Image Classification Jobs

You should have 0-6 years of experience and hold a Bachelor's/Masters in geomatics, remote sensing and GIS, agriculture, geography, earth science, or a related field. Your responsibilities will include performing GIS tasks allocated as per project requirements such as digitization, editing, and spatial data analysis. You will also need to capture ground truth information based on plans and digital sources provided, and conduct various analyses on satellite data. Moreover, you will be expected to input map and related data into GIS software to facilitate accurate area calculations for all features. Utilizing various image processing techniques like image classification and GIS analysis to derive meaningful information and results according to project needs is essential. Additionally, creating and maintaining the necessary database for GIS data storage is part of the role. Having experience in the agriculture field is preferred. Proficiency in GIS and remote sensing software, GIS data collection, quantitative and qualitative data analysis, as well as the ability to generate well-written and detailed reports, are also required.,

As an AI Computer Vision Engineer with 4+ years of experience, you will be responsible for developing and training computer vision models for various tasks such as object detection, image classification, and face recognition. You will optimize models for performance on edge devices and apply data augmentation techniques to image/video datasets. Additionally, you will need proficiency in Large Language Models and a strong understanding of statistical analysis and machine learning algorithms. Your role will involve hands-on implementation of machine learning algorithms like linear regression, logistic regression, decision trees, and clustering algorithms. Understanding image processing concepts and experience in model optimization, quantization, or deploying to edge devices will be essential. You should have strong programming skills in Python (or C++) and expertise in implementing and optimizing machine learning pipelines for seamless integration into production systems. Experience with real-time computer vision applications, OpenCV, NumPy, PyTorch/TensorFlow, and computer vision models like YOLOv5, Mask R-CNN will be beneficial. Engaging with multiple teams, contributing to key decisions, and providing solutions that apply across multiple teams are expected from you. You will lead the implementation of large language models in AI applications and research cutting-edge AI techniques to enhance system performance. Contribution to the development and deployment of AI solutions across various domains is also part of your responsibilities. In terms of requirements, you should design, develop, and deploy ML models for OCR-based text extraction, table and line-item detection, and named entity recognition. Evaluating and integrating third-party OCR tools, developing pre-processing and post-processing pipelines for image/text data, and familiarity with video analytics platforms are necessary skills. Experience with MLOps tools, academic CV research, and knowledge of GPU acceleration or hardware integration will be advantageous for this role.,

As a Computer Vision Architect with 10-15 years of experience, you will be responsible for leading the development of advanced computer vision systems. Your role will involve managing dataset generation, improving image processing techniques, and overseeing model training and pattern recognition projects. You must be proficient in Python and related libraries such as OpenCV, TensorFlow, and PyTorch, with a solid understanding of linear algebra, calculus, and statistics. Your key responsibilities will include leading the computer vision team, providing mentorship and guidance to junior members, developing and implementing strategies for advanced computer vision projects, and collaborating with cross-functional teams to integrate computer vision solutions into products. You will design, develop, and optimize models for image classification, object detection, and segmentation. Additionally, you will innovate and implement state-of-the-art algorithms and techniques for pattern recognition and face detection. In terms of dataset generation and image processing, you will oversee the creation and management of large-scale datasets for training and evaluation. You will also enhance image processing pipelines, focusing on techniques like noise reduction and data compression. As part of model training and evaluation, you will lead the end-to-end process of model training, validation, and deployment. You will utilize Python and relevant libraries (OpenCV, TensorFlow, PyTorch) for model development and training, ensuring models meet accuracy and performance standards through rigorous testing and iteration. Your technical expertise will be crucial in applying strong mathematical foundations in linear algebra, calculus, and statistics to solve complex computer vision problems. It is important to stay updated with the latest research and advancements in the fields of computer vision and machine learning. In terms of project management, you will be responsible for managing multiple projects simultaneously, ensuring timely delivery and adherence to project requirements. Effective communication of progress, challenges, and results to stakeholders is key. To qualify for this role, you should have a Bachelors or Masters degree in Computer Science, Electrical Engineering, Mathematics, or a related field. You should have a proven track record of leading successful computer vision projects and possess excellent problem-solving skills, attention to detail, and strong communication and collaboration skills. Preferred qualifications include publications or patents in the field of computer vision, experience with edge computing and real-time image processing, and familiarity with other programming languages and frameworks related to AI and machine learning.,

The Senior Applied Scientist role at Oracle Cloud Infrastructure (OCI) in Bangalore is ideal for an experienced individual with a deep hands-on experience in Generative AI and Computer Vision. As a member of the AI Science team, you will be responsible for developing highly complex and accurate data science models using cutting-edge techniques in computer vision, Large multimodal models, and other GenAI technologies. Your key responsibilities will include developing advanced AI models and algorithms focusing on large language model, large multimodal, computer vision, and foundation models. You will design, implement, and test critical modules/features of AI services that are correct, highly available, scalable, and cost-effective. Championing best practices for testing, benchmarking, and model validation to ensure reliability and performance will also be a key part of your role. You will analyze ML models, optimize them for accuracy and latency, and handle large-scale training & production deployment with ML models. Additionally, you will own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production models. Proactively identifying technical issues/bugs and providing innovative solutions will be crucial. Collaborating closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance, and acceptance of data/annotation will be essential. Leveraging Oracle Cloud technology, you will work on developing best-in-class computer vision solutions at scale for the Oracle business domain. The ideal candidate for this role will have a Ph.D. or Masters in Computer Science, Machine Learning, Computer Vision, or a related field. A Ph.D. in computer vision or at least 2 years of experience in designing, implementing, and deploying computer vision models in production environments is preferred. Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification is required. Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models is essential. Practical experience in ML algorithm design, model training, and production deployment using microservices architecture is a must. Experience working in a cloud environment like Oracle Cloud (OCI), AWS, GCP, or Azure is preferred. The successful candidate will have a strong drive to learn and master new technologies and techniques, along with a deep understanding of data structures, algorithms, and excellent problem-solving skills. You must enjoy working in a fast-paced environment and be willing to work in Agile and iterative development processes.,

You are a geospatial expert with 23 years of experience in satellite imagery analysis and model development. Your role will involve image classification, automation, and delivering insights across agriculture and utility sectors. Proficiency in Google Earth Engine, Python, and tools like QGIS and ArcGIS is essential for this position. As an ideal candidate, you will bring strong remote sensing knowledge and a drive for innovation across global geographies. SatSure is a deep tech, decision intelligence company that operates at the intersection of agriculture, vegetation monitoring, forestry, utilities, infrastructure, and climate action. The company aims to create a positive impact in the developing world by making insights from earth observation data accessible to all. As a Geospatial Analyst at SatSure, you will work with various datasets such as satellite imageries, vector data, and weather data. Your responsibilities will include processing satellite imageries, developing insights, running and developing models for various sectors, feature identification and classification, innovation across different geographies, automation of processes, and supporting client deliveries. In terms of qualifications, you should have 2-3 years of working experience in geospatial projects and a degree in Geospatial/Geomatics/Remote Sensing/GIS or a related field. Essential requirements for this role include extensive work with raster data and satellite imageries, a strong understanding of image classification and remote sensing concepts, proficiency in programming and automation logic, hands-on experience with Google Earth Engine and Python, knowledge of QGIS, Erdas Imagine, ArcGIS, and other geospatial software, ability to work independently and in a team environment, and proficiency in Excel and PowerPoint. It would be beneficial if you have an understanding of agricultural remote sensing and geo statistics. Additionally, SatSure provides various benefits to its employees, including medical health cover for you and your family, access to mental health experts, dedicated allowances for learning and skill development, a comprehensive leave policy, and twice-a-year appraisals. The interview process for this position typically involves 3-4 rounds, including a culture round or HR round. SatSure is looking to fill one position, and the expected month of joining is as soon as possible.,

This job is with Oracle, an inclusive employer and a member of myGwork the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About The Job Location: Bangalore Career Level: IC3 Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider. Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale. Were looking for an experienced Sr. Applied Science (IC3) with deep hand-on experience in Generative AI and Computer Vision area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies. As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale. is perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services. Key Responsibilities Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models. Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective. Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance. Analysis of ML models, and optimizing models for accuracy and latency. Large-scale training & production deployment with ML models. Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production model. Experience implementing machine learning algorithms or research papers from scratch to production. Work with large, complex data sets. Proactively identify the technical issues/bugs and provide innovative solutions. File patent and publication as by product of solving complex business problems Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required. Leverage Oracle Cloud technology. Preferred Qualifications Ph.D. (preferred) or Masters in Computer Science, Machine Learning, Computer Vision, or related field. PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models. Expert in at least one high level language such as Python/Java/C++ Practical experience in ML algorithm design, model training and production deployment using microservices architecture Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology. Experience or willingness to learn and work in Agile and iterative development processes. Strong drive to learn and master new technologies and techniques. Deep understanding of data structures, algorithms, and excellent problem-solving skills. You enjoy a fast-paced work environment. Career Level - IC3 Identify data science use cases and design scalable solutions that can be built as a feature of the product/service. Contributes to writing production model code. Work with Software Engineering teams to deploy them in production. Set up environment needed to run experiments for all projects. Set up distributed environments. Design and implement algorithms, train models, and deploy both to production to validate premises and achieve goals. Design and execute offline/online experiments and model performance testing. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Address business/customer problems and questions using statistical and machine learning techniques to achieve business goals and KPI&aposs. Come up with innovative solutions to address tradeoffs or challenges faced by team. Stay up-to date with research and trends regarding latest algorithms in ML or other industry/domain space. Perform research in emerging areas, which may include efficient neural network development including quantization, pruning, compression and neural architecture search, as well as novel differentiable compute primitives. May perform other duties as assigned. As a world leader in cloud solutions, Oracle uses tomorrows technology to tackle todays challenges. Weve partnered with industry-leaders in almost every sectorand continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. Thats why were committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. Were committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [HIDDEN TEXT] or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Oracle Cloud Infrastructure (OCI) is leading cloud innovation, combining startup agility with the reliability of a top enterprise software provider. The AI Science team focuses on cutting-edge machine learning solutions that address real-world challenges at scale. We are seeking an experienced Sr. Applied Scientist (IC3) with expertise in Generative AI and Computer Vision to develop highly complex and accurate data science models. As a Senior Applied Scientist, you will work on secure, scalable, and innovative AI solutions utilizing advanced techniques in computer vision and GenAI technologies. Key Responsibilities: - Develop advanced AI models and algorithms, particularly in large language model, large multimodal, computer vision, and foundational models. - Design, implement, and test critical features of AI services ensuring correctness, high availability, scalability, and cost-effectiveness. - Advocate best practices for testing, benchmarking, and model validation to ensure reliability and performance. - Analyze ML models, optimize for accuracy and latency, and handle large-scale training and production deployment. - Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production models. - Implement machine learning algorithms from scratch to production, work with complex data sets, and proactively address technical issues. - Collaborate with product managers, engineering leads, and data teams to define requirements and ensure data quality. - Leverage Oracle Cloud technology to develop best-in-class computer vision solutions for Oracle's business domain at scale. Preferred Qualifications: - Ph.D. or Master's degree in Computer Science, Machine Learning, Computer Vision, or related field. - Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. - Strong foundation in deep learning architectures like CNNs, transformers, diffusion models, and multimodal models. - Proficiency in high-level languages such as Python, Java, or C++, and experience in ML algorithm design and production deployment. - Familiarity with working in cloud environments like Oracle Cloud (OCI), AWS, GCP, or Azure, and Agile development processes. - Strong problem-solving skills, a drive to learn new technologies, and an ability to thrive in a fast-paced work environment. This role offers an opportunity to contribute to cutting-edge AI solutions, collaborate with cross-functional teams, and drive innovation in the field of computer vision.,

The Computer Vision Engineer position in Pune, India requires an individual with 3+ years of experience who is passionate about joining a dynamic startup team. As a Computer Vision Engineer, your primary responsibility will be to conduct research, develop, maintain, and create scalable CV/ML technologies capable of analyzing video feeds of users engaging in online sessions while identifying anomalies. To qualify for this role, you should possess a BS/MS degree in Computer Science or have equivalent industry and/or research experience in areas such as Artificial Intelligence, Computer Vision, Machine Learning, Image Processing, or Computer Graphics. Proficiency in C/C++ and Python, along with a strong background in a Linux environment is essential. Experience with tools like OpenCV, Numpy, SciPy, Sklearn, and GIT is also required. Desirable skills include expertise in image classification, segmentation, and autonomous feature learning, as well as a solid grasp of linear algebra, optimization, probability, and statistics. Additionally, knowledge of software architecture, API design, parallel programming, and Vision applications will be advantageous. Effective communication skills to convey technical information clearly to both technical and non-technical audiences are crucial for this role. The position is full-time and offers competitive compensation based on experience, including salary and benefits.,

As a member of our team, you will be responsible for managing organizational strategy and operations through the design and statistical analysis of business initiatives and experiments. Your role will involve collaborating with business partners to understand and address their needs and issues effectively. Utilizing advanced knowledge of statistics and data mining techniques, such as predictive modeling and simulation, you will identify patterns and insights from business data. Additionally, you will be tasked with designing, developing, and evaluating statistical and predictive models to drive business solutions. In this position, you will act as the lead statistician for the unit, providing expertise, oversight, and guidance on statistical analysis efforts. Communication of findings and recommendations to management across various departments will be a crucial aspect of your role. Furthermore, you will support implementation efforts and lead and mentor the team working in the Data Competency Centre. To excel in this role, you should possess a Bachelor's degree in data science, computer science, electrical engineering, applied statistics, or physics with 8-10 years of relevant work experience in Data Science, Artificial Intelligence, or Machine Learning algorithm development. Alternatively, a Master's degree with 5+ years of relevant work experience or a PhD with 4+ years of relevant work experience in the aforementioned fields will also be considered. A working knowledge of budgets and financial statements is required. Key skills and competencies for this position include demonstrated experience in managing teams, coaching team members to drive results, proficiency in programming languages and statistical software tools (such as Python, SAS, R, JMP), relational databases (SQL server), and data analysis and visualization software (preferably PowerBI, SAS). You should also have experience with standard data science and machine learning packages, as well as machine learning model tradeoffs and computer vision models. Strong communication skills are essential to effectively collaborate with various business partners and communicate complex data relationships and statistical model results. Your essential responsibilities will involve statistical analysis and model development in collaboration with business partners, internal teams, and Enterprise Data Management. You will explore data using statistical techniques to answer business questions, build hypotheses, and identify research data attributes. Additionally, you will lead the development of experimental designs for business initiatives, apply advanced statistical techniques, build predictive models, and deploy computer vision models to meet business needs. Providing guidance and direction related to statistical analysis, as well as effectively communicating and delivering statistical and predictive model results to business partners, are critical aspects of this role. You will report to the Head of Automation Digital Transformation USA and will have direct reports. Some travel may be required for this position. This is a full-time role based in Plot No.A-1/1 SIPCOT Industrial Park, Sriperumbudur, Tamil Nadu, 602105, IN. If you believe you meet the qualifications and can excel in fulfilling the responsibilities outlined for this role, we encourage you to apply. All candidates receiving an offer of employment must successfully complete a background check and any other required tests. Job Identification: 1021960 Job Category: NPI-HSRT Integration Data Science Posting Date: 07/17/2025, 12:17 AM Job Schedule: Full time Work Schedule: Normal Shift New (PMT),

GlobalLogic is seeking English Proficient Talent for a premium Silicon Valley Client. This is a rewarding opportunity to join a fantastic journey with one of the leading companies in the industry. **Requirements:** - Graduates with strong written communication skills in English. - Must possess a graduation degree (Provisional Certificate and Consolidated Marks Memo required). - Open to working from the office and in rotational shifts (5 days Working, 2 days off). - Available for immediate joining. **Job Responsibilities:** - Perform data annotation, classification, and evaluation tasks across various datasets. - Engage in projects involving computer vision capabilities such as object detection, image classification, and segmentation. - Maintain high accuracy and consistency in labeling and reviewing data. - Collaborate with cross-functional teams to understand annotation requirements and deliver timely updates. - Strictly adhere to annotation guidelines and maintain documentation. **What We Offer:** **Culture of Caring:** At GlobalLogic, we prioritize a culture of caring where people come first. Experience an inclusive environment of acceptance and belonging, fostering meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. **Learning and Development:** We are dedicated to your continuous learning and development. Grow daily in an environment that provides numerous opportunities to expand your skills, try new things, and advance your career. Benefit from programs, training curricula, and hands-on experiences to grow both personally and professionally. **Interesting & Meaningful Work:** Join GlobalLogic to work on impactful projects for clients worldwide. Engage your creativity and problem-solving skills to help clients reimagine possibilities and introduce innovative solutions to the market. **Balance and Flexibility:** We value the importance of balance and flexibility. Explore various roles and work arrangements to achieve the perfect work-life balance. We support integrating and balancing work and life, ensuring you have fun along the way. **High-Trust Organization:** GlobalLogic is a high-trust organization that prioritizes integrity. By joining us, you become part of a safe, reliable, and ethical global company. Trust, candor, and integrity are fundamental to our interactions with employees and clients. **About GlobalLogic:** GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for collaborating with leading companies to create innovative digital products and experiences. With a rich history of digital transformation, we continue to redefine industries through intelligent solutions, platforms, and services.,

-1Role & responsibilities AI/ML Engineer About the Role: We are building an AI-powered food recognition system for our fitness and nutrition app. The goal is to enable users to scan meals, identify food items (especially Indian cuisine), and get an instant nutritional breakdown (calories/macros). Were looking for an AI/ML Engineer who can take full ownership of this project from dataset creation and model development to backend integration and deployment. Responsibilities: 1 Dataset Preparation Collect or curate labeled food image datasets (focus on Indian meals) Organize images into structured folders for training Perform data augmentation, resizing, normalization 2 Model Development Choose and fine-tune a CNN model (e.g., ResNet, EfficientNet, MobileNet) Apply transfer learning for food classification (20+ categories) Optimize for high accuracy and convert to TensorFlow Lite (optional for mobile) 3 Training & Evaluation Train the model on Google Colab, local GPU, or cloud Evaluate using metrics like accuracy, F1 score, and confusion matrix Iterate to improve results based on testing 4 Backend Integration Build REST APIs using FastAPI to serve model predictions Accept image uploads and return predicted food labels with confidence scores Integrate predictions with existing MySQL database 5 Deployment & Support Save and deploy the trained model (.h5 or .tflite) Collaborate with the mobile team (React Native) to connect the API or run on-device predictions Ensure performance, scalability, and reliability in production Mandatory Skills: ML/AI TensorFlow / Keras / PyTorch, Transfer Learning, CNNs Image Processing ImageDataGenerator, Pillow/OpenCV, image augmentation Backend FastAPI (REST APIs) Deployment Model saving/loading, TFLite conversion Database Basic integration with MySQL Cloud/Infra Google Colab, AWS EC2 Versioning Git, GitHub, proper code structuring Preferred candidate profile

Min. 1 year of experience Freshers can also apply Grads only Salary: Fresher - 16k Experience - 21k 5 days working Rotational Shifts & offs Both side cabs Loc: Gurgaon 1 round of interview only Immediate joining Contact: Rashi yadav (9821737888)

Min. 1 year of experience Freshers can also apply Grads only Salary: Fresher - 16k Experience - 21k 5 days working Rotational Shifts & offs Both side cabs Loc: Gurgaon 1 round of interview only Immediate joining Contact: 8527984611 [Diya Sharma]

Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale. provider. As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale. Perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services Key Responsibilities Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models. Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective. Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance. Analysis of ML models, and optimizing models for accuracy and latency. Large-scale training & production deployment with ML models. Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production model. Experience implementing machine learning algorithms or research papers from scratch to production. Work with large, complex data sets. Proactively identify the technical issues/bugs and provide innovative solutions. File patent and publication as by product of solving complex business problems Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required. Leverage Oracle Cloud technology. Preferred Qualifications Ph.D. (preferred) or Master's in Computer Science, Machine Learning, Computer Vision, or related field. PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models. Expert in at least one high level language such as Python/Java/C++ Practical experience in ML algorithm design, model training and production deployment using microservices architecture Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology. Experience or willingness to learn and work in Agile and iterative development processes. Strong drive to learn and master new technologies and techniques. Deep understanding of data structures, algo Career Level - IC3

Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider. Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale. We're looking for an experienced Sr. Applied Scientist (IC3) with deep hand-on experience in Generative AI and Computer Vision area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies. As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale Perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services. Key Responsibilities Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models. Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective. Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance. Analysis of ML models, and optimizing models for accuracy and latency. Large-scale training & production deployment with ML models. Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production model. Experience implementing machine learning algorithms or research papers from scratch to production. Work with large, complex data sets. Proactively identify the technical issues/bugs and provide innovative solutions. File patent and publication as by product of solving complex business problems Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required. Leverage Oracle Cloud technology. Preferred Qualifications Ph.D. (preferred) or Master's in Computer Science, Machine Learning, Computer Vision, or related field. PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models. Expert in at least one high level language such as Python/Java/C++ Practical experience in ML algorithm design, model training and production deployment using microservices architecture Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology. Experience or willingness to learn and work in Agile and iterative development processes. Strong drive to learn and master new technologies and techniques. Deep understanding of data structures, algorithms, and excellent problem-solving skills. You enjoy a fast-paced work environment. Career Level - IC3