13 Data Augmentation Jobs

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 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 Principal Generative AI (GenAI) Engineer at Velocity Clinical Research, you play a crucial role in developing and implementing advanced Generative AI solutions to drive innovation and create business value. Your responsibilities include designing, optimizing, and deploying cutting-edge AI models and techniques such as Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Working closely with cross-functional teams, you will integrate these technologies into products and services to ensure they meet performance and business requirements. Your deep understanding of AI and continuous awareness of the latest advancements will be vital in shaping the future of AI capabilities at Velocity. Your duties involve actively designing, developing, and deploying advanced Generative AI applications using techniques like prompt engineering and RAG. Collaborating with data scientists, ML engineers, and product teams, you will translate business requirements into scalable GenAI applications. You will experiment with new Generative AI techniques, evaluate models rigorously, and explore agentic frameworks to develop AI systems capable of autonomous decision-making. Staying updated with Generative AI research, you will optimize models for real-world deployment, integrate them into production environments, and contribute to best practices specific to Generative AI technologies. To excel in this role, you must possess a deep understanding of machine learning algorithms, neural networks, and natural language processing. Expertise in working with Generative AI models, prompt engineering, and RAG techniques is essential. Proficiency in programming languages like Python, TensorFlow, and PyTorch, as well as experience with data pre-processing, ethical considerations in AI model development, and software engineering skills are required. You should be able to build, deploy, and maintain scalable AI/ML pipelines, work with APIs and microservices architecture, and demonstrate strong problem-solving skills and a passion for innovation in AI. Ideally, you hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field, with a Ph.D. preferred. With at least 8 years of software engineering experience, including 4+ years focused on AI/ML, and a background in Generative AI technologies, you should also have experience with LLMs like GPT and BERT. Effective communication skills, mentorship abilities, and a proven track record of developing production-level AI/ML solutions are essential for success in this role. Please note that this Job Description provides a general overview of the position's function and is not an exhaustive list of specific tasks. Job duties are subject to change based on Company and departmental needs. All employees are expected to perform their duties to the best of their abilities and as requested by management.,

As an Oracle Reporting & Analytics (FDI) Lead, you will play a crucial role in our team by utilizing your expertise in Oracle ERP Cloud and EBS Technologies analytics reporting. Your responsibilities will encompass a deep understanding of ERP data structure across various modules such as PPM, Finance, Procurement, HCM, and Sales. Collaboration with stakeholders from business, IT peers, consultants, and developers will be essential to ensure the successful delivery of Oracle Fusion Applications solutions that align with our business requirements. Your guidance will be pivotal in the technical design and development of Oracle Fusion reports to achieve optimal performance and scalability. Your daily tasks will involve gathering business requirements, designing specifications, developing code, conducting unit, integration, and acceptance testing, as well as providing implementation support. Additionally, you will be responsible for constructing data models to support analytical reporting needs, creating reports, dashboards, and setting up applications based on client requirements for managing data models and data pipelines. Building custom data pipelines, integrating with other warehouse applications, optimizing dashboards, and assisting with FDI provisioning and configurations will also fall within your scope of responsibilities. To excel in this role, you should hold a Bachelor's degree in computer science or a related field with over 12 years of experience in Data Analytics & reporting tools, specializing in Oracle FDI, Oracle Analytical Cloud (OAC), or OBIEE Analytics Reporting tools. Hands-on experience in implementing FDI (FAW) and BI Analytics using Oracle Analytics Cloud (OAC) and Autonomous Data Warehouse (ADW), along with a minimum of one implementation experience in Fusing Data Intelligence, will be highly advantageous. Your ability to develop custom data pipelines, integrate with warehouse applications, and work on custom Data Warehouse projects using ETL tools like ODI/ODI Marketplace on OCI infrastructure will be crucial for success. Moreover, possessing a good functional understanding of Oracle ERP Modules such as Finance, PPM, Sales, and HCM, and being well-versed in Fusion Data Model, Data Augmentation, semantic model extensions, and FDI roles are essential requirements for this role. Proficiency in SQL Query, Analytical Custom Reports/Dashboards, and debugging skills is expected. As a committed team player, you will also be responsible for leading and mentoring the team to achieve organizational goals effectively. Preferred skills for this role include experience in OBIEE, ERP cloud BIP, BICC, OCI DI, and OTBI Reporting, as well as knowledge of Fusion PPM, CX, and HCM core modules, and GL Balance Cubes, FRS/Smart View.,

As an LLM Engineer, your primary responsibility will be to develop, fine-tune, and deploy large-scale natural language models such as GPT, BERT, and similar transformer-based architectures. You will collaborate closely with data scientists, AI researchers, and software engineers to create cutting-edge language models that drive innovative solutions across various applications like chatbots, summarization, translation, and more. Your key responsibilities will include building and fine-tuning large language models to address specific business challenges, ensuring they meet performance standards. You will also be involved in curating, preprocessing, and augmenting datasets to enhance model training and generalization. Furthermore, deploying and managing LLMs in production environments using tools like Docker, Kubernetes, or cloud platforms will be part of your role. Post-deployment, you will continuously monitor model performance, striving to enhance accuracy, diminish bias, and optimize latency. It is imperative to stay updated with the latest NLP and transformer advancements, implementing state-of-the-art techniques to elevate model efficiency. Collaboration is crucial as you will work closely with cross-functional teams, including data engineers, front-end developers, and product managers, to deliver robust AI solutions. Developing mechanisms to make model outputs comprehensible to non-technical stakeholders is essential. You will also optimize large-scale models for efficient inference and scalability across distributed systems. To excel in this role, you are required to have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proficiency in Python, familiarity with libraries like TensorFlow, PyTorch, Hugging Face Transformers, and other NLP frameworks is essential. Hands-on experience with large-scale language models, NLP expertise, and proficiency in cloud environments are crucial. Additionally, strong communication skills, teamwork, and the ability to work in collaborative, fast-paced environments are vital for success. Preferred skills include knowledge of transformer-based models, LLM scaling strategies, contributions to the NLP research community, familiarity with prompt engineering, and an understanding of reinforcement learning techniques for enhancing LLM interaction quality.,

Job Description Customer Excellence Advisory Lead (CEAL) aims to enable customers to fully leverage their data by offering top-tier architectural guidance and design. As part of the Oracle Analytics Service Excellence organization, our team includes Solution Architects who specialize in Oracle Analytics Cloud, Oracle Analytics Server, and Fusion Data Intelligence. Our main goal is to ensure the successful adoption of Oracle Analytics. We engage with customers and partners globally, building trust in Oracle Analytics. We also collaborate with Product Management to enhance product offerings and share our insights through blogs, webinars, and demonstrations. This role is crucial for any enterprise aiming to fully leverage Oracles Fusion Data Intelligence, ensuring that their business users not only adapt to but also thrive in a data-driven environment. Career Level - M2 Responsibilities Strategy Development: Develop and refine the strategy for deploying, integrating, and enhancing the adoption of Fusion Data Intelligence to support organizational goals. Team Leadership: Lead, develop, mentor, and retain a team of solution architects to implement FDI solutions effectively in timely fashion, pre and post sales. Project Management: Oversee multiple customer projects, ensuring they are implemented (post sales) and converted (pre-sales) on time, within scope and within the budget. Stakeholder Engagement: Collaborate with key internal and external stakeholders to align Fusion Data Intelligence capabilities and its vision with business needs. Training and Development: Ensure team members are well-trained on the latest features and best practices in Fusion Data Intelligence including AI and ML. Technical Guidance: Provide expert guidance on the technical aspects of Fusion Data Intelligence, including data augmentation, data reliability, and data security. Innovation: Encourage innovation and continuous improvement within the team, exploring new ways to leverage Fusion Data Intelligence for business advantage. Partner Management: Manage relationships with Oracle and other partners to ensure that the customer&aposs needs are being met and to stay updated on the latest developments. Compliance and Security: Ensure that all data management practices comply with legal and regulatory standards. About Us 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

Tata Electronics Pvt. Ltd. is a key global player in the electronics manufacturing industry, specializing in Electronics Manufacturing Services, Semiconductor Assembly & Test, Semiconductor Foundry, and Design Services. Established in 2020 by the Tata Group, the company's primary objective is to provide integrated solutions to global customers across the electronics and semiconductor value chain. We are looking for an AI Core Developer to join our R&D team in Bangalore. This role is centered around fundamental AI research, algorithm development, and model pre-training, focusing on innovation rather than application engineering. As an AI Core Developer, you will be involved in cutting-edge AI research, creating novel algorithms, and constructing foundation models from scratch. This position is ideal for individuals with a strong background in pre-training methodologies and algorithm development who aspire to contribute to core AI advancements. Your responsibilities will include developing and implementing innovative machine learning algorithms for various AI systems, designing pre-training pipelines for large models, prototyping new AI architectures, collaborating with research scientists and engineers, and contributing to technical publications. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, with 2-4 years of hands-on experience in AI/ML development. Proficiency in Python, C/C++, knowledge of deep learning frameworks such as PyTorch and TensorFlow, and experience with model pre-training are essential requirements. Strong mathematical skills, familiarity with transformer architectures and attention mechanisms, and understanding of distributed computing are also key competencies. Preferred qualifications include advanced experience in multimodal AI systems, research contributions to top-tier AI conferences, and expertise in specific AI domains like healthcare or finance. The position is based in Bangalore, India, with a hybrid work arrangement and occasional travel for conferences and collaborations.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Must have experience with Machine Learning Model Development. Expert Level Proficiency in Data Handling (SQL). Hands-on with Model Engineering and Improvement. Strong experience in Model Deployment and Productionalization. Extensive experience in developing and implementing machine learning, Deep Learning, NLP models across various domains. Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost, and Keras. Ability to write efficient, clean, and scalable code for model development and evaluation. Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. Ability to analyze model samples in relation to model scores, identify patterns, and iteratively refine models for improved performance. Strong expertise in deploying machine learning models to production systems. Familiarity with the end-to-end process of model deployment, including data preprocessing, model training, optimization, and integration into production environments. We recognise the significance of flexible work arrangements to provide support in a hybrid mode, you will get an environment to maintain a healthy work-life balance. Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programmes in the latest technologies such as AIML, Machine Learning. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.,

Vimaan is looking to onboard multiple Machine Learning Engineers in Bengaluru, India to drive the development of computer vision and machine learning algorithms to power our cutting-edge wall-to-wall warehouse inventory tracking and verification platform. This is a unique opportunity to exploit a treasure cove of unseen real-world data coming from a multi-camera perception system and develop large-scale computer vision and deep learning models to build a product that creates a disproportionate value for the warehouse industry. The role involves hands-on CV/ML software development and deployment from understanding the product requirements, defining Computer Vision functional specs to designing, developing, and deploying CV/ML models in production at scale. The ideal candidate for the Machine Learning Engineer position should have an MS in computer vision, machine learning, AI, applied mathematics, data science, or related technical fields, or a BS with 3+ years of experience in Computer Vision/Machine Learning. They should possess hands-on experience in developing new learning algorithms for computer vision tasks such as object detection, object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation, adversarial and generative models, as well as representational learning with varying amounts of data. Knowledge of current deep learning literature and the mathematical foundations of machine learning is essential. Experience with popular object detection frameworks such as YOLO, SSD, or Faster R-CNN is considered a plus. The candidate should have the ability to train and debug deep learning systems, gain deep insights into data characteristics, and map those to appropriate model architectures. Experience working with inputs from multiple cameras and input modes is advantageous, as is experience in AI Infrastructure, Machine Learning Accelerators, On-Device Optimization, and training and deploying deep learning models on GPU-accelerated platforms. Strong programming skills with Python and experience with ML/DL frameworks like Tensorflow, Pytorch, etc., are required. Prior experience in deploying machine learning models in production environments, working with cloud platforms (e.g., AWS, Azure, Google Cloud), and familiarity with data pre-processing, augmentation, and visualization tools and libraries are necessary. The ideal candidate should be highly motivated, passionate, possess a strong work ethic, and be able to work effectively in a team or independently under supervision in a matrix management environment. Effective communication skills, problem-solving abilities, attention to detail, and a passion for staying at the forefront of technology advancements in machine learning and computer vision are key attributes. They should be able to work in a fast-paced, high-pressure startup environment, adapt to rapidly changing requirements, and convey complex technical concepts to non-technical stakeholders. The Machine Learning Engineer will be responsible for researching, designing, and developing machine learning algorithms and models for various tasks of detection, recognition, and classification for warehouse inventory management. They will implement and optimize deep learning architectures, explore techniques like transfer learning and data augmentation, guide annotation teams, curate and pre-process annotated datasets, collaborate with MLOps for integrating machine learning models into production systems, and conduct thorough performance analysis and evaluation of models using appropriate metrics and tools. It is essential for the Machine Learning Engineer to stay up-to-date with the latest advancements in machine learning and computer vision research and integrate relevant findings into the solutions developed at Vimaan. ABOUT VIMAAN Headquartered in Silicon Valley, with team members around the world, Vimaan is comprised of computer vision and hardware technologists, as well as warehousing domain experts with a successful history in technology startups. Vimaan's primary mission is to deliver computer vision and machine learning solutions to solve long-standing inventory visibility, accuracy, and quality challenges in the supply chain.,

As a Machine Learning Engineer specializing in Computer Vision, you will play a crucial role in designing, developing, and deploying cutting-edge computer vision models and algorithms for real-world robotic applications. Working alongside a talented team, you will utilize state-of-the-art deep learning techniques to solve complex vision problems ranging from object detection to image segmentation and 3D perception. Your contributions will directly influence the evolution of intelligent systems within the field of robotics. This position is based on-site in Pune and requires immediate availability for joining within one month. Qualifications: - Educational Background: B.Tech., B.S., or B.E. in CSE, EE, ECE, ME, Data Science, AI, or related fields with a minimum of 2 years of hands-on experience in Computer Vision and Machine Learning. Alternatively, an M.S. or M.Tech. in the same disciplines with 2 years of practical experience in Computer Vision and Python programming. - Technical Expertise: You should possess strong experience in developing deep learning models and algorithms for various computer vision tasks, including object detection, image classification, segmentation, and keypoint detection. Proficiency in Python and ML frameworks like PyTorch, TensorFlow, or Keras is essential. Additionally, experience with OpenCV for image processing and computer vision pipelines is required. A solid understanding of convolutional neural networks (CNNs) and other vision-specific architectures such as YOLO, Mask R-CNN, and EfficientNet is expected. Ability to build, test, and deploy robust models using PyTest or PyUnit testing frameworks is necessary. Hands-on experience with data augmentation, transformation, and preprocessing techniques for visual data is also a key requirement. Familiarity with version control using Git is a plus. - Desirable Skills: Experience with 3D vision, stereo vision, or depth sensing technologies will be advantageous. Familiarity with ROS2 for integrating vision systems into robotic platforms, understanding of sensor fusion techniques (e.g., LiDAR, depth cameras, IMUs), exposure to MLOps for deploying and maintaining computer vision models in production environments, knowledge of CMake for building and integrating machine learning and vision-based solutions, experience with cloud-based solutions for computer vision, and ability to work with CUDA, GPU-accelerated libraries, and distributed computing environments are desirable skills. Location: This role is on-site in Pune, India, and immediate availability for joining is required. Why Join Us - Shape the future of robotics and AI by focusing on state-of-the-art computer vision applications. - Work in a dynamic and collaborative environment with a team of highly motivated engineers. - Competitive salary and benefits package, including performance-based incentives. - Opportunities for growth and professional development, including mentorship from industry experts. If you are passionate about leveraging deep learning and computer vision to develop intelligent systems that perceive and interact with the world, we look forward to hearing from you!,

Were looking for a Project Manager to lead clinical data augmentation initiatives that enable better risk identification and proactive health management for insured populations. The ideal candidate will have a strong understanding of clinical data, governance, and healthcare processes, and will work cross-functionally to improve data flow and accuracy. Key Responsibilities: Lead and manage multiple clinical data augmentation projects. Ensure seamless data flow from core to peripheral systems. Identify new health data sources to improve risk stratification. Collaborate with cross-functional teams to automate reporting and reduce discrepancies. Maintain data recency to support health assurance transformation goals. Prepare for transition into a clinical data analysis-focused role.

Description We are seeking a skilled Computer Vision Engineer to join our team in India. The ideal candidate will have extensive experience in developing and implementing computer vision solutions, contributing to innovative projects that leverage advanced imaging technologies. Responsibilities Develop and implement computer vision algorithms for various applications. Collaborate with cross-functional teams to integrate computer vision solutions into products. Conduct research to improve existing computer vision models and frameworks. Analyze and preprocess image and video data for training machine learning models. Optimize computer vision algorithms for performance and efficiency. Stay updated with the latest trends and advancements in computer vision technologies. Skills and Qualifications 6-12 years of experience in computer vision or related fields. Strong proficiency in programming languages such as Python, C++, or Java. Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. Solid understanding of machine learning and statistical modeling techniques. Knowledge of image processing libraries like OpenCV, PIL, or scikit-image. Experience with computer vision tasks such as object detection, image segmentation, and facial recognition. Familiarity with cloud platforms and GPU programming for scalable model training. Strong analytical and problem-solving skills.

Description We are looking for an experienced Computer Vision Engineer to join our team in India. The ideal candidate will have a strong background in computer vision and machine learning, with a passion for developing innovative solutions to complex problems. Responsibilities Design and implement computer vision algorithms for real-time applications. Develop, test, and optimize image processing and computer vision models. Collaborate with cross-functional teams to integrate vision solutions into products. Conduct experiments and analyze data to improve algorithm performance. Stay updated with the latest advancements in computer vision and related fields. Skills and Qualifications 6-12 years of experience in computer vision or related fields. Proficiency in programming languages such as Python, C++, or Java. Strong understanding of machine learning frameworks like TensorFlow or PyTorch. Experience with image processing libraries such as OpenCV. Knowledge of deep learning techniques and architectures like CNNs, RNNs, etc. Familiarity with computer vision challenges and solutions in various domains. Ability to work in a fast-paced environment and manage multiple projects.