32 Image Classification Jobs

The opportunity We are currently looking for a Computer Vision Engineer, to join our office in Pune. As a Computer Vision Engineer, you will support our clients in defining and implementing a data journey aligned with their strategic objectives. Some of your responsibilities will include: Work with the research team to research, develop, evaluate, and optimize various computer vision and deep learning models for different problems. Take ownership to drive computer vision solutions and meet customer requirements. Deploying developed computer vision models on edge devices after optimization to meet customer requirements and maintain them to later improve to address additional customer requirements in the future. Developing data handling and machine learning pipelines for training In-depth understanding of computer vision models including object detection, semantic segmentation, and key-point detection Implementing algorithms in robust, efficient, and well-tested code. Skills and attributes for success To qualify for the role, you must have Experience of minimum 2 years Ability to develop Deep Learning frameworks to solve problems. Design and create platforms for image processing and visualization. Knowledge of computer vision libraries. Understanding of dataflow programming. B.E. (E&TC /Computer / IT / Mechanical / Electronics) C++, video analytics, CUDA, Deepstream

Join our innovative tech team as an AI/ML Engineer specializing in Computer Vision. If you are passionate about AI, Machine Learning, and Computer Vision, and possess hands-on experience in implementing cutting-edge models and optimizing algorithms, we have the perfect opportunity for you. We are an innovative IT product and services software development company that leverages AI, deep learning, and advanced algorithms to create industry-leading solutions. By joining our team, you will have the chance to work on challenging projects that push the boundaries of Computer Vision and Machine Learning. Your responsibilities will include developing, training, and optimizing AI/ML models specifically for Computer Vision applications. You will work with AI/ML libraries to implement state-of-the-art deep learning architectures and conduct research and experiments with Convolutional Neural Networks (CNNs), object detection, segmentation, image classification, and feature extraction. Additionally, you will design, implement, and fine-tune algorithms for real-world applications in Computer Vision and collaborate with data scientists and software engineers to integrate models into production systems. It is essential to stay updated with the latest advancements in AI, ML, and Computer Vision to ensure the projects" success. This is a full-time position with benefits such as health insurance, paid time off, and a provident fund. The job also includes a day shift schedule, performance bonuses, and yearly bonuses. The work location is in person, and candidates must be located in Mumbai, Maharashtra, or be willing to relocate before starting work. The required experience for this position is a minimum of 1 year in AI/ML. If you are ready to take on exciting challenges in the field of AI and Computer Vision and contribute to innovative projects, we encourage you to apply and become a valuable member of our team.,

We are looking for a Geospatial Analyst to join our data generation team at SatSure. As a Geospatial Analyst, you will work with various datasets such as satellite imageries, boundaries, weather data, and more. Your responsibilities will involve processing satellite imagery, developing insights, running models, identifying features, classifying images, preparing reports and maps, and supporting client deliveries. At SatSure, a deep tech decision intelligence company, we focus on the intersections of agriculture, infrastructure, and climate action to create a positive impact, especially in the developing world. We aim to democratize insights from earth observation data, making it accessible to all. If you are passionate about leveraging cutting-edge technology to drive societal impact, innovate freely, and work in a non-hierarchical environment, SatSure is the perfect place for you. Roles and Responsibilities: Operations: - Processing satellite imagery and deriving insights - Developing and running models for insights generation - Identifying and classifying features from satellite images - Creating reports and maps - Handling and supporting client deliveries Research: - Conducting research for operational tasks - Bringing expertise to develop new data products or optimize existing models - Creating software-based and/or programming-based models for process automation Requirements: - Degree in Geospatial/Geomatics/Remote Sensing/GIS or related field - 4+ years of experience in Geospatial projects - Proficiency in working with Raster data and satellite imageries - Strong understanding of image classification and Remote Sensing concepts - Knowledge of agricultural remote sensing is a plus - Familiarity with QGIS, Erdas Imagine, ArcGIS, and other Geospatial software - Programming skills and automation logic - Experience with Google Earth Engine and Python is advantageous - Excellent communication, teamwork, leadership skills - Ability to work independently or in a team - Understanding of Geo statistics is a bonus - Proficiency in Excel and PowerPoint Benefits: - Medical Health Cover for you and your family - Access to mental health experts - Allowances for learning and skill development - Comprehensive leave policy - Twice a year appraisal Interview Process: - 3-4 interview rounds - Culture Round / HR round Number of positions: 2 Expected Month of Joining: As soon as possible.,

As a Python Developer at our company, you will be responsible for developing, deploying, and optimizing Python-based applications for Visual AI tasks such as image classification, object detection, and image generation. Your expertise in Django and Flask, along with your proficiency in Django Rest Framework (DRF), will be crucial in this role. Additionally, you will work with machine learning concepts and tools like PyTorch, TensorFlow, and transformer architectures. Your key responsibilities will include designing and implementing machine learning models using frameworks like TensorFlow, PyTorch, and OpenCV. You will collaborate with cross-functional teams to integrate Visual AI capabilities into applications and conduct exploratory data analysis for AI/ML tasks. Optimizing models for performance, scalability, and accuracy will also be a part of your role. To excel in this position, you must demonstrate a strong proficiency in Python with experience in data science and machine learning. Hands-on experience with frameworks like TensorFlow, PyTorch, OpenCV, and scikit-learn is essential. You should have a good understanding of computer vision techniques, such as object detection, image segmentation, and image generation, and be familiar with Generative AI techniques like GANs, VAEs, diffusion models, and LLaMA. Moreover, experience with data manipulation tools like Pandas, NumPy, and visualization tools like Matplotlib and Seaborn is required. Knowledge of cloud platforms (AWS, GCP, or Azure) and tools like Docker for model deployment will be beneficial. Familiarity with model optimization techniques like transfer learning, fine-tuning, and LoRA is also desirable. In this role, you will have the opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions in the field of Visual AI. Your ability to collaborate with teams, optimize models, and present findings to stakeholders will be key to your success in this dynamic position.,

We are searching for a highly skilled and experienced Python Developer to become a valuable part of our dynamic team. The ideal candidate should possess a robust background in developing web applications utilizing Django and Flask, along with expertise in deploying and managing applications on AWS. It is essential to have proficiency in Django Rest Framework (DRF), a solid grasp of machine learning concepts, and practical experience with tools such as PyTorch, TensorFlow, and transformer architectures. Your primary responsibilities will include developing, deploying, and optimizing Python-based applications for Visual AI tasks like image classification, object detection, and image generation. You will also be tasked with designing, implementing, and fine-tuning machine learning models using frameworks like TensorFlow, PyTorch, and OpenCV. Additionally, you will work with diffusion models, GANs, VAEs, and other generative models for tasks like text-to-image and image-to-image generation. Collaboration with cross-functional teams to integrate Visual AI capabilities into applications, conducting exploratory data analysis, and implementing feature engineering for AI/ML tasks will also be part of your role. Furthermore, you will optimize models for performance, scalability, and accuracy, as well as document and present findings, tools, and best practices to technical and non-technical stakeholders. The ideal candidate should demonstrate strong proficiency in Python with experience in data science and machine learning. Hands-on experience with frameworks like TensorFlow, PyTorch, OpenCV, and scikit-learn is required. A good understanding of computer vision techniques such as object detection, image segmentation, and image generation is essential. Familiarity with Generative AI techniques including GANs, VAEs, diffusion models, and LLaMA is advantageous. Experience with data manipulation tools like Pandas, NumPy, and visualization tools like Matplotlib and Seaborn is beneficial. Knowledge of cloud platforms (AWS, GCP, or Azure) and tools like Docker for model deployment, as well as familiarity with model optimization techniques including transfer learning, fine-tuning, and LoRA, will be a plus. This position offers an exciting opportunity to work with cutting-edge technologies in a collaborative environment. If you are passionate about Python development, machine learning, and Visual AI tasks, we encourage you to apply for this role and be a part of our innovative team.,

Job Title : Data Annotator Location City : Bangalore Experience Required : 2 to 3 Year(s) Shift: Rotational Work Mode: Onsite Position Type: Contract Openings: 10 Interested candidate share there updated resume sangeeta.t@varite.com For more information contact sangeeta @ 8929376486 Company Name: VARITE INDIA PRIVATE LIMITED About The Client: An American multinational computer technology company headquartered in Austin, Texas, United States. A global technology provider offers a comprehensive suite of software solutions, encompassing a flagship relational database management system, enterprise resource planning, customer relationship management, and cloud services. Additionally, the company delivers middleware products, business intelligence tools, and industry-specific applications, addressing diverse business needs worldwide. As a key player in application development, it stewards a widely utilized programming language. These software solutions cater to businesses across various industries and are widely adopted for scalability, security, and innovation. About The Job: Image, Video and text annotators contribute to the development of AI and machine learning systems by providing accurately labeled datasets, enabling the training and evaluation of algorithms for various applications such as object detection, image classification, semantic segmentation, and more. Should have two years of experience in labeling or annotating various elements within images/videos or visual data Should have annotated temporal information within videos, such as tracking the movement or trajectory of objects, identifying key frames, or annotating specific actions or events occurring over time. Should have annotated images by marking and labeling specific objects, regions, or features within the images. This may involve drawing bounding boxes around objects, highlighting points of interest, or segmenting objects using polygons or masks Ensure the quality and accuracy of annotated data by reviewing and verifying annotations for correctness and consistency Follow and adhere to specific annotation guidelines, instructions, or specifications provided by the project or company. This includes understanding and applying domain-specific knowledge, as well as adapting to evolving requirements. Essential Job Functions: Collaborate with team members, project managers, or stakeholders to address any questions, concerns, or issues related to the annotation process. Effective communication is essential for ensuring consistent and accurate annotations. Experience working on complex annotation tasks including 3D lidar labeling. Excellent written and verbal communication skills to convey technical challenges and updates. Report any data quality issues or tool-related challenges to the project leads in a timely manner. Qualifications: B.TECH/ M.TECH/ MCA/ BCA Excellent communication skills require for the desire post How to Apply: Interested candidates are invited to submit their resume using the apply online button on this job post. Equal Opportunity Employer: VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status. Unlock Rewards: Refer Candidates and Earn. If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE. Exp Req - Referral Bonus 0 - 2 Yrs. - INR 5,000 2 - 6 Yrs. - INR 7,500 6 + Yrs. - INR 10,000 About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

Job Title: Data Annotator-Computer Vision Location: OTH, Marathahalli (Work from Office) Experience: 2+ Years in Computer Vision Annotation Employment Type: Full-time. Job Description: We are seeking a skilled and detail-oriented Data Annotator with at least 2 years of hands-on experience in Computer Vision annotation . The ideal candidate should be proficient with various annotation tools, possess strong communication skills, and be comfortable working in a fast-paced, team-oriented environment. Key Responsibilities: Perform high-quality data annotation for computer vision tasks (e.g., object detection, image classification, segmentation, etc.) Use a variety of annotation tools and platforms efficiently Ensure accuracy, consistency, and completeness in labeling across datasets Review and validate annotations to maintain quality standards Collaborate with the machine learning and QA teams to improve annotation guidelines and workflows Provide feedback and help train junior annotators, if required Required Skills & Qualifications: Minimum 2 years of experience in data annotation for computer vision projects Proficiency with various annotation tools (e.g., CVAT, Labelbox, V7, Supervisely, etc.) Strong attention to detail and a high level of accuracy Good verbal and written communication skills Ability to follow complex instructions and annotation guidelines Comfortable working full-time from the office (OTH, Marathahalli)

The GIS Specialist will play a crucial role in integrating geographic information systems into urban design initiatives within our Planning and Urban Design team. Your responsibilities will include providing technical expertise in handling large geospatial datasets, conducting spatial data analysis, and visualization to support various projects and guide design strategies. You should possess skills in satellite imagery interpretation, spatial data visualization, and contribute technical insights to assist internal consultants, the broader Dar Group, and external collaborators. Your duties will involve: Data Collection Processing: - Collect, process, and validate geographic data from various sources, ensuring accuracy and integrity. - Maintain scalable, secure, and compliant data workflows. Advanced Spatial Analysis: - Conduct complex spatial analyses to identify trends and spatial relationships for urban planning, infrastructure design, and landscape strategies. - Utilize spatial statistics, geospatial analysis, and predictive modeling techniques for project-specific challenges. Mapping, Visualization, and Web-based Tools: - Prepare high-quality GIS mapping, presentations, technical drawings, and other deliverables in a timely manner. - Develop and manage interactive web maps, story maps, and 3D GIS applications using tools like ArcGIS Online and Enterprise. - Oversee GIS activities planning, data flow management, distribution, and geospatial database design and development. - Maintain accurate geospatial documentation and support in complex project work planning. Mandatory Qualifications and Work Experience Required: - Bachelor's degree or postgraduate qualification in geographical information systems (GIS), geography, or computer sciences. - Minimum of 3 years of work experience. - Proficiency in ESRI product suite, including ArcGIS Online, Enterprise, and ArcGIS Pro. - Experience in creating web maps, story maps, and 3D GIS web apps. - Familiarity with Rhino/Grasshopper, Python programming, and strong analytical skills. - Extensive experience with Raster data, satellite imagery, image classification, and attention to detail. Good to Have: - Understanding of Geo statistics. - Knowledge of programming languages such as Python, JavaScript, and basic scripting for data processing and test automation. - Willingness to learn and enhance programming skills further.,

Pinnacle Infotech is a company that values inclusive growth in an agile and diverse environment. With over 30 years of global experience, a team of 3,400+ experts has successfully completed 15,000+ projects across 43+ countries for 5,000+ clients. By joining Pinnacle Infotech, you will have the opportunity for rapid career advancement, cutting-edge training, and involvement in impactful global projects. Embrace our E.A.R.T.H. values, celebrate uniqueness, and experience swift career growth as a part of the Pinnaclites team. We are currently looking to hire a Data Scientist (Computer Vision Engineer) with 2-4 years of experience for our location in Madurai, Tamil Nadu. The ideal candidate should hold a qualification of B.Tech/B.E/Any Master Degree (CS, IT) or Any MBA. As a Data Scientist (Computer Vision Engineer) at Pinnacle Infotech, you will be responsible for working with large-scale image and video datasets to extract actionable insights and automate visual tasks. Collaborating with cross-functional teams including ML engineers, product managers, and designers to integrate vision models into production pipelines will be a key aspect of this role. Additionally, you will design, implement, and optimize computer vision algorithms for tasks such as object detection, image classification, tracking & segmentation. Conducting tests, experiments, and data analysis to support product and business decisions will also be part of your responsibilities. Key Responsibilities: - Design and train machine learning models for tasks like Object detection, Image classification, Face recognition, and OCR (optical character recognition). - Data Management and Preprocessing. - Image & Video Data Analysis. - Data Annotation & Augmentation. - Work with streaming data for real-time inference. - Apply techniques to improve model generalization. - Innovate algorithms to solve domain-specific problems. If you are passionate about computer vision and possess the required experience and qualifications, we invite you to share your resume at sunitas@pinnacleinfotech.com. Join us at Pinnacle Infotech and be part of a dynamic team where your skills and expertise will be recognized and valued.,

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. We're 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 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. 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's. 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. 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. provider. As a Principal 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

Established in 1986, Sutherland is a global provider of business process and technology management services offering an integrated portfolio of analytics-driven back-office and customer facing solutions that support the entire customer lifecycle. As a process transformation company, Sutherland rethinks and rebuilds processes for the digital age by combining the speed and insight of design thinking with the scale and accuracy of data analytics. Sutherland has been helping customers across industries from financial services to healthcare achieve greater agility through transformed and automated customer experiences for over 30+ years. We are currently looking for a skilled and experienced Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The ideal candidate should possess a strong foundation in ML and AI principles, along with a proven track record of developing and deploying a minimum of 20+ models in these domains. If you are interested in this opportunity, please reach out to us at arshi.sheikh@sutherlandglobal.com. **Responsibilities:** - Develop and implement state-of-the-art machine learning algorithms and models for NLP and computer vision applications. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Conduct thorough data analysis, pre-processing, and feature engineering to extract meaningful insights from structured and unstructured data. - Design and implement scalable and efficient machine learning pipelines for training, evaluation, and inference. - Experiment with various deep learning architectures, hyperparameters, and optimization techniques to improve model performance. - Stay updated with the latest advancements in ML and AI research and evaluate their potential applications in our domain. - Work closely with software engineers to integrate ML models into production systems and ensure their robustness and scalability. - Perform rigorous testing and validation of models to ensure their accuracy, reliability, and generalization capability. - Continuously monitor and maintain deployed models, and implement necessary updates and enhancements as required. - Document code, methodologies, and findings effectively, and contribute to internal knowledge sharing initiatives. **Qualifications:** - Bachelor's/Masters/Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field. - Strong theoretical understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques. - Proficiency in programming languages such as Python, along with experience in popular ML libraries like TensorFlow, PyTorch, or scikit-learn. - Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks with a demonstrable portfolio of projects. - Solid understanding of natural language processing techniques (text classification, sentiment analysis, named entity recognition, etc.). - Familiarity with computer vision concepts (image classification, object detection, image segmentation, etc.) and experience with frameworks like OpenCV or TensorFlow. - Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes) is a plus. - Excellent problem-solving skills, attention to detail, and ability to work both independently and as part of a team. - Strong communication and interpersonal skills, with the capability to collaborate effectively with stakeholders across different functional areas. Join us in revolutionizing the way Sutherland harnesses the power of machine learning and artificial intelligence to drive innovation and create impactful solutions.,

You will be responsible for performing various GIS tasks assigned based on project requirements such as digitization, editing, and spatial data analysis. This includes capturing ground truth information from plans and digital sources, as well as conducting analyses on satellite data. Your role will involve inputting map and related data into GIS software to ensure accurate area calculations for all features. Additionally, you will be expected to apply image processing techniques like image classification and GIS analysis to extract meaningful information as needed for projects. It will be your duty to create and manage the necessary database for GIS data storage. A Bachelor's or Master's degree in geomatics, remote sensing, GIS, agriculture, geography, earth science, or a related field is required. Experience in the agriculture field is preferred. The ideal candidate will possess expertise in GIS and remote sensing software, GIS data collection, quantitative and qualitative data analysis, and the ability to generate well-written and detailed reports to support project outcomes.,

You will be working as a Machine Learning Engineer in an in-office setting in Hyderabad. Your primary focus will be on utilizing AI/ML techniques, specifically in computer vision applications. Your responsibilities will include designing, building, and fine-tuning machine learning models for tasks like object detection, segmentation, and image classification. As a Machine Learning Engineer, you will leverage pre-trained models and implement fine-tuning to customize them for specific use cases. It will be crucial for you to optimize model performance by incorporating cutting-edge techniques in transfer learning, regularization, and hyperparameter tuning. Collaboration with data scientists, engineers, and product teams is essential to deliver AI solutions that align with business requirements. Your role will involve developing scalable solutions and deployment pipelines to operationalize machine learning models effectively. You will need to prioritize model efficiency, ensuring high speed and low latency in production environments. Staying updated on the latest trends and technologies in AI, machine learning, and computer vision will be key in enhancing existing solutions. Additionally, you will conduct thorough evaluations of models using relevant metrics and implement strategies for performance enhancement. Troubleshooting and resolving model-related issues in production environments will also be part of your responsibilities. To qualify for this role, you should hold a Bachelor's, Master's, or PhD in Computer Science and possess at least 3 years of experience in machine learning or deep learning, focusing on computer vision. Expertise in model fine-tuning, transfer learning, and working with pre-trained models like ResNet, VGG, and EfficientNet is required. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Keras, along with a deep understanding of deep learning architectures, is essential. Familiarity with vision-specific tasks, data preprocessing, augmentation, and labeling techniques for vision tasks, as well as proficiency in programming languages like Python, C++, or similar, are necessary. A strong grasp of model evaluation techniques and metrics for computer vision tasks and experience with cloud platforms and containerization technologies will be advantageous.,

As a GIS Engineer at Geosys, you will be responsible for using various Geospatial tools in a production-oriented role focused on meeting quality and delivery performance targets to support the organization's operational commitments. You will report to the Team Lead, GIS Operations, collaborate with the Operations team, and interact with clients from different organizations. Your key responsibilities and accountabilities will include editing and maintaining geospatial datasets, ensuring the integrity, accuracy, and reliability of all data, analyzing spatial data for reports and presentations, preparing GIS datasets, maps, and database reports, assisting in onboarding and training clients and new employees, as well as testing, supporting, deploying tools, and preparing technical documentation. To be eligible for this role, you should have a Bachelor's degree in Environmental Sciences/Geography/Geology, a Diploma in Civil/Mechanical Engineering, experience with survey data in a CAD environment, and proficiency in GIS web and mobile field data collection applications. Operational level experience in editing and maintaining spatial data in GIS is preferred. You should possess strong interpersonal skills, the ability to work effectively in a team, adaptability to work with customers and co-workers, and the capability to follow business process workflows. Strong analytical and problem-solving abilities, skills in Image Classification using Digital and Visual Image Analysis, experience with GIS tools like ESRI ArcMap and ArcGIS Pro, and familiarity with various Geospatial software and tools are necessary. Attention to detail and good written and oral communication skills in English and National/Regional Language are also required. If you are ready to contribute to our transformation and work in a collaborative project team that promotes innovation and personal growth, Geosys looks forward to welcoming you. You will have the opportunity to make an impact, receive competitive compensation, and enjoy comprehensive benefits such as Health Coverage, Life Insurance, Paid Vacation, Sick, and Casual Leaves while maintaining a healthy work-life balance.,

You will be working as a GIS Engineer - Intern at Geosys Enterprise Solutions Pvt. Ltd., where your primary responsibilities will include using Desktop, Web, and Mobile applications for editing, maintaining, and analyzing geospatial datasets. It will be your duty to ensure the overall integrity, accuracy, and reliability of all data while preparing reports, dashboards, presentations, GIS datasets, Maps, database reports, and supporting various projects. To qualify for this position, you should hold a Bachelor's degree in Environmental Sciences, Geography, or Geology along with a Diploma in Civil or Mechanical Engineering. Experience working with survey data in a CAD environment and in a production-oriented setting is advantageous. Proficiency in Land-use and Land-cover mapping and operational level experience in editing and maintaining spatial data in a GIS are also required. You are expected to possess strong interpersonal skills, adaptability to work effectively with customers and co-workers, and the ability to follow business process workflows for incorporating updates to Geospatial datasets. Additionally, you should have strong analytical and problem-solving abilities, experience in Image Classification using Digital and Visual Image Analysis, and familiarity with GIS tools like ESRI ArcMap, ArcGIS Pro, GOOGLE EARTH, ERDAS, and QGIS. This is a full-time position with a day shift schedule that may require travel for surveys. Good attention to detail for data maintenance and entry in a GIS database, as well as proficient written and oral communication skills in English and the National/Regional Language, are essential for this role.,

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),