12 Feature Extraction Jobs

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.,

As a Computer Vision Researcher, you will be responsible for designing and optimizing deep learning models, building prototypes, and collaborating closely with cross-functional teams to ensure the seamless integration and real-time deployment of computer vision technologies into robotic systems. Joining our ambitious Advanced Robotics team, dedicated to pushing the boundaries of robotics and launching innovative products, you will be based out of Noida Headquarters. In this role, you will play a crucial part in developing a robot vision system that enables humanoid robots to navigate, interact, and learn from complex and dynamic environments. Your responsibilities will include conducting advanced research in computer vision, designing and training deep learning models, implementing efficient data processing pipelines, building prototypes and proof-of-concept systems, evaluating and optimizing the performance of computer vision models, integrating third-party computer vision libraries, and collaborating with product teams, hardware engineers, and software developers. You will also mentor junior researchers and engineers on computer vision concepts and technologies, providing guidance in experimental design, data analysis, and algorithm development. To qualify for this role, you should have a PhD or master's degree in computer science, Computer Vision, AI, Robotics, or a related field, along with 5-8 years of experience. Strong understanding of computer vision techniques, proficiency in deep learning frameworks, experience with Visual SLAM, LiDAR SLAM, VIO, CNNs, RNNs, GANs, Visual Language Action (VLA), traditional computer vision techniques, programming skills in C++, Python, data processing, augmentation, computer vision libraries, GPU programming, machine learning algorithms, model evaluation metrics, and staying current with the latest research trends are essential requirements for this role.,

At EY, you will have the opportunity to forge a career path that aligns with your unique attributes, supported by a global network, inclusive environment, and cutting-edge technology to evolve into the best version of yourself. Your distinctive voice and insights are pivotal in contributing to EY's continuous improvement. By joining us, you will not only create an exceptional journey for yourself but also play a role in shaping a more efficient working environment for all. We are currently looking for a Senior Conversational Developer specializing in Python, data engineering, JavaScript, ReactJS, and node.JS, with a strong background in conversational AI, particularly in utilizing Generative AI for chatbot solutions. **Key Responsibilities:** - Lead the design, development, and deployment of applications. - Develop custom JavaScript code and integrate it with backend services. - Collaborate with stakeholders to gather requirements and address business needs effectively. - Conduct thorough testing, debugging, and refinement to ensure optimal performance and user experience. - Provide mentorship and conduct code reviews for junior developers. **Qualifications:** - Minimum of 3-5 years of relevant experience. - Bachelor's degree in computer science, Information Technology, or a related field. - 5-8 years of experience in chatbot development. - Proficiency in JavaScript, including expertise in asynchronous programming, AJAX, and API integrations. - Knowledge of NLP and ML techniques in the context of conversational AI. - Previous experience with other chatbot platforms is advantageous. - Strong problem-solving skills and ability to thrive in a dynamic environment. - Excellent communication skills for effective collaboration with both technical and non-technical teams. - A portfolio showcasing successful chatbot projects is preferred. **Skills:** - Proficiency in Python, JavaScript frameworks, server-side programming (e.g., node.JS), and Azure cloud. - Familiarity with API design and development, including RESTful APIs and web services. - Experience with databases, including relational and NoSQL databases (e.g., MongoDB, Cassandra) for managing unstructured and semi-structured data. - Knowledge of conversational AI domain, conversational design, customer experience metrics, and industry-specific challenges. - Understanding of NLP and ML applications in chatbots, including feature and entity extraction, intent classification, etc. - Ability to work on conversational data preprocessing and feature engineering for training Conversational AI systems. - Strong problem-solving, analytical, and project management capabilities. - Excellent communication and collaboration skills to engage effectively with cross-functional teams and stakeholders. - Familiarity with Agile development methodologies and version control systems. - Commitment to staying abreast of the latest advancements and trends in the field. EY aims to foster a better working world by creating long-term value for clients, people, and society, while building trust in the capital markets. Leveraging data and technology, diverse EY teams across more than 150 countries provide assurance and support clients in growth, transformation, and operations. By operating within assurance, consulting, law, strategy, tax, and transactions, EY teams strive to address complex global challenges by asking insightful questions and finding innovative solutions.,

At EY, you will have the opportunity to shape a career that is as unique as you are. With our global reach, support, inclusive culture, and cutting-edge technology, you can strive to become the best version of yourself. Your distinct voice and perspective are vital in helping EY further enhance its services. Join us in creating an exceptional experience for yourself and contributing towards a better working world for all. As a Senior Conversational Developer specializing in AI Enabled Automation, you will be responsible for designing and implementing advanced solutions using Python, data engineering, JavaScript, ReactJS, and node.JS. Moreover, your expertise in conversational AI, particularly in utilizing Generative AI for developing chatbot solutions, will be crucial for this role. Key Responsibilities: - Take the lead in designing, developing, and deploying applications. - Develop custom JavaScript code and integrate it with backend services. - Collaborate with stakeholders to gather requirements and address business needs effectively. - Conduct thorough testing, debugging, and refinement to ensure optimal performance and user experience. - Offer mentorship and conduct code reviews for junior developers. Qualifications: - Minimum of 3-5 years of relevant experience. - Bachelor's degree in computer science, Information Technology, or a related field. - 5-8 years of experience in chatbot development. - Proficiency in JavaScript, including skills in asynchronous programming, AJAX, and API integrations. - Knowledge of NLP and ML techniques within the context of conversational AI. - Experience with other chatbot platforms is advantageous. - Strong problem-solving abilities and adaptability in a dynamic environment. - Excellent communication skills for effective collaboration with technical and non-technical teams. - A portfolio showcasing successful chatbot projects is preferred. Skills: - Proficient in Python, JavaScript frameworks, server-side programming like node.JS, and Azure cloud services. - Familiarity with API design and development, including RESTful APIs and web services. - Knowledge of databases, both relational and NoSQL (e.g., MongoDB, Cassandra) for managing unstructured and semi-structured data. - Understanding of Conversational AI domain, conversational design, customer experience metrics, and industry-specific challenges. - Familiarity with NLP and ML applications in chatbots, including feature and entity extraction, intent classification, etc. - Ability to preprocess conversational data (chats, emails, and calls) and perform feature engineering if necessary for training Conversational AI systems. - Strong problem-solving, analytical, and project management skills. - Excellent communication and collaboration abilities to work effectively with diverse teams and stakeholders. - Proficiency in Agile development methodologies and version control systems. - Stay abreast of the latest advancements and trends in the field. Join EY in its mission to build a better working world by delivering long-term value for clients, people, and society while fostering trust in the capital markets. Our diverse teams across 150+ countries utilize data and technology to offer assurance and assist clients in their growth, transformation, and operations across various sectors. Through our expertise in assurance, consulting, law, strategy, tax, and transactions, we strive to address the complex challenges of today's world by asking better questions and finding innovative solutions.,

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. As a Micron Front End Central Quality Senior Engineer, you will be a member of the worldwide quality team responsible for driving quality and reliability improvement initiatives into Front End Manufacturing network. You will work closely with Global Quality and internal customers to perform data analysis in key metrics to monitor quality and reliability health, including DPM and Uncorrectable Error (UE) metrics. Additionally, you will work with business partners to develop the strategy for continually improving product quality and reliability for Front End and supporting Time to Mature DPM program and Time to Mature Uncorrectable Error (UE) program execution. Responsibilities And Tasks Include But Not Limited To: - Design and develop methods to extract and analyze unstructured diverse Backend & Front-end data. Perform data correlations to determine the Patterns and perform the first level of debug. - Translate raw data into compelling visual stories that highlight trends, anomalies, and opportunities for improvement. - Collaborate with business partners and multi-functional teams to drive detection, Corrective and Preventive Actions in line-of-sight metrics. - Work with multi-functional team to deploy BKMs of Back End to Front End collaboration process like WL DPM forecast and RMA DPM reduction, etc. - Lead multi-functional initiatives or enabling projects that support companywide quality objectives. - Manage the projects to enable the implementation path for new initiatives. - Strong verbal and written communication skills, able to communicate the analysis and present insights to business partners. Skills And Experience You Will Need: - MS/BS or equivalent experience in Electrical or Computer Engineering. - 3 to 8 years of experience in the following areas. - Good knowledge in Semiconductor Manufacturing, common semiconductor reliability tests, and failure mechanisms. - Fluency in Python and/or R, other statistical software including scripting capability for automating analyses. - Knowledge of using statistical tools, Unix, Tableau, Power BI, JMP. - Understanding of statistics applied to data analysis, especially in Quality and reliability. - Exposure to statistical modeling, feature extraction and analysis. Good to have - supervised/unsupervised/semi-supervised learning, integrating LLM into the production environment. About Micron Technology, Inc.: Micron Technology, Inc. is an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron and Crucial brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.,

As an ML Engineer, you will play a crucial role in developing and implementing various Machine Learning models that contribute to the growth of the company. Your primary focus will be on creating ML workflows tailored for the legal industry to enhance the efficiencies of in-house teams at Draft n Craft. This position offers you the opportunity to enhance your ML/Data Engineering skills while actively participating in the creation of valuable products. Your responsibilities will include developing data ingestion and preprocessing pipelines to extract actionable insights from legal data, ensuring accurate and consistent data cleaning for ML models, and experimenting with different ML models and architectures suitable for the legal industry. You will also be responsible for deploying ML models in production environments, analyzing model performance metrics, and improving model efficiencies. Additionally, you will document data preprocessing steps, model development processes, and optimization techniques. Collaboration with software engineers within the company will be essential, requiring an understanding of software development terminologies. Integration of ML models into existing software solutions and employee workflows will also be part of your role. The ideal candidate holds a degree in Computer Science Engineering, Data Science, or related fields. A minimum of 2 years of experience as an ML Engineer or Data Scientist is required, along with strong programming skills in Python and familiarity with libraries such as Tensorflow, PyTorch, and Pandas. Proficiency in SQL/NoSQL for database querying, working with data extraction and ETL pipelines, and experience in NLP, Neural Networks, and Gen AI technologies are essential. Familiarity with transfer learning on LLM models and deploying ML models to cloud services like AWS/Azure is preferred. Some experience in software development will be advantageous. This is a full-time position with a preferred total work experience of 6 years. The work location is in person.,

You should have a Bachelors degree in Computer Science, Electrical Engineering, or a related field. A strong understanding of computer vision fundamentals including image processing and feature extraction is required. Experience with machine learning frameworks like OpenCV, TensorFlow, PyTorch, or Keras is essential. Proficiency in Python and relevant libraries such as NumPy, SciPy, and Matplotlib is expected. Basic knowledge of deep learning models like CNNs, RNNs, and transformers is necessary. Familiarity with model architectures such as ResNet, YOLO, SSD, and U-Net is preferred. You should have an understanding of algorithms, data structures, and relevant mathematical concepts. Knowledge of cloud platforms like AWS and GCP, as well as edge computing frameworks, is a plus. Experience with GPU computing using CUDA and cuDNN is beneficial. Previous hands-on experience in computer vision projects or open-source contributions would be desirable for this role.,

You are a Computer Vision/ML Engineer who will be a valuable addition to our team dedicated to solving machine vision problems. In this role, you will be responsible for developing and implementing state-of-the-art computer vision algorithms to ensure top-notch quality standards for our products. Your primary responsibilities will include: - Developing and implementing computer vision and machine learning algorithms for detecting and classifying defects in manufacturing facilities. - Preprocessing and augmenting project datasets to enhance model performance. - Staying updated with the latest research and advancements in computer vision and machine learning specifically related to defect detection and classification. - Optimizing existing computer vision models for improved accuracy and efficiency in classification. - Conducting experiments to evaluate model performance using relevant metrics and benchmarks. - Researching and innovating solutions to tackle challenges in defect detection and classification. - Collaborating closely with software engineers to integrate models into final production systems. To excel in this role, you should possess the following qualifications: - A Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. - 3-4 years of professional experience in computer vision and machine learning, focusing on object detection and classification. - Profound knowledge of computer vision basics, including image preprocessing, feature extraction, object detection, and image segmentation. - Proficiency in Python programming. - Experience with deep learning frameworks like TensorFlow or PyTorch. - Familiarity with data augmentation techniques, filtering, and contour extraction. - Understanding of cutting-edge computer vision models and techniques applicable to defect detection and classification tasks. - Strong problem-solving abilities and the capacity to work both independently and collaboratively. - Excellent communication and collaboration skills. Preferred qualifications include: - Experience in quality control or inspection projects within manufacturing environments. - Knowledge of industrial imaging systems and techniques. - Understanding of parallel computing and GPU optimization for accelerated model training and inference. Joining our team offers you numerous benefits, such as: - Opportunity to shape your career path independently. - Exposure to a diverse consulting environment working with Fortune 500 companies and startups. - A dynamic yet supportive work atmosphere that fosters personal growth. - Involvement in a close-knit community that extends beyond work, including sports, social gatherings, and shared interests. - Being part of the exciting growth journey at Thoucentric. If you are passionate about computer vision and machine learning, and eager to contribute to cutting-edge projects in a supportive and collaborative environment, we encourage you to apply and become part of our team at Thoucentric.,

Vehant Technologies is an IIT-Delhi incubated technology products firm that was founded in 2005. We are pioneers in Artificial Intelligence/Machine Learning-based Physical Security, Surveillance, and Traffic Monitoring & Junction Enforcement Solutions. Our products are designed and developed in India, manufactured in India and Europe to meet global standards, features, and quality. Our Security Screening Solutions portfolio offers a range of efficient products including Under Vehicle Scanning System, X-ray Baggage Scanner, Explosive Trace Detector, and Automated Number Plate Recognition System. In addition, our Smart & Safe City Solutions feature TrafficMon - a video-based, Artificial Intelligence, and Machine Learning powered traffic enforcement and management solution that detects violations such as Red light jump, Over Speeding, No Helmet riding, Triple Riding, Wrong Lane movement, and various other traffic violations in real-time. Furthermore, our Enterprise Analytics Solutions focus on implementing enterprise data analytics strategies at every level of business. We also offer Covid Safety Solutions including AI-based thermal temperature screening and intelligent analytics Solutions. As a part of our team, your responsibilities will include: - Leading a team of image processing engineers to develop and implement state-of-the-art image processing algorithms and systems - Designing, developing, and optimizing image processing pipelines for various applications - Integrating image processing algorithms into larger systems by collaborating with other teams - Creating and maintaining project plans and timelines - Reviewing and analyzing project requirements, providing technical guidance to the team - Collaborating with researchers and engineers to develop new image processing technologies - Ensuring best practices for software development, code reviews, and testing are followed by the team - Managing and prioritizing project activities, making strategic decisions for successful project completion - Mentoring and training team members for their professional development and growth - Regularly communicating with stakeholders to provide updates, manage expectations, and align with business objectives Qualifications required for this role include: - Bachelor's or master's degree in Computer Science, Electrical Engineering, or related field - Experience in leading a team of engineers - Strong knowledge of image processing algorithms and techniques such as image enhancement, segmentation, and feature extraction - Proficiency in programming languages like C++ or Python - Experience with Image processing libraries such as OpenCV, IPL, etc - Excellent problem-solving skills and ability to work in a fast-paced environment - Strong communication skills and ability to collaborate effectively - Prioritization and project management skills for handling multiple projects simultaneously - Experience with agile development methodologies is a plus - Desirable: Experience with deep learning frameworks such as TensorFlow, PyTorch, etc If you are passionate about image processing and leading a team of talented engineers to develop cutting-edge technology, we encourage you to apply for this exciting opportunity. Please note that this is a work from office role.,

As a Data Scientist at Micron Technology in Sanand Gujarat, you will have the opportunity to play a pivotal role in transforming how the world uses information to enrich life for all. Micron Technology is a global leader in innovating memory and storage solutions, driving the acceleration of information into intelligence and inspiring advancements in learning, communication, and progress. Your responsibilities will involve a broad range of tasks, including but not limited to: - Developing a strong career path as a Data Scientist in highly automated industrial manufacturing, focusing on analysis and machine learning of terabytes and petabytes of diverse datasets. - Extracting data from various databases using SQL and other query languages, and applying data cleansing, outlier identification, and missing data techniques. - Applying the latest mathematical and statistical techniques to analyze data and identify patterns. - Building web applications as part of your job scope. - Utilizing Cloud-based Analytics and Machine Learning Modeling. - Building APIs for application integration. - Engaging in statistical modeling, feature extraction and analysis, feature engineering, supervised/unsupervised/semi-supervised learning. - Demonstrating proficiency in data analysis and validation, as well as strong software development skills. In addition to the above, you should possess above-average skills in: - Programming fluency in Python. - Knowledge of statistics, machine learning, and other advanced analytical methods. - Familiarity with javascript, AngularJS 2.0, and Tableau, with a background in OOPS considered an advantage. - Understanding pySpark and/or libraries for distributed and parallel processing. - Experience with Tensorflow and/or other statistical software with scripting capabilities. - Knowledge of time series data, images, semi-supervised learning, and data with frequently changing distributions is a plus. - Understanding of Manufacturing Execution Systems (MES) is beneficial. You should be able to work in a dynamic, fast-paced environment, be self-motivated, adaptable to new technologies, and possess a passion for data and information with excellent analytical, problem-solving, and organizational skills. Furthermore, effective communication with distributed teams (written, verbal, and presentation) and the ability to work collaboratively towards common objectives are key attributes for this role. To be eligible for this position, you should hold a Bachelors or Masters degree in Computer Science or Electrical/Electronic Engineering, with a CGPA of 7.0 and above. Join Micron Technology, Inc., where our relentless focus on customers, technology leadership, and operational excellence drives the creation of high-performance memory and storage products that power the data economy. Visit micron.com/careers to learn more about our innovative solutions and opportunities for growth. For any assistance with the application process or to request reasonable accommodations, please reach out to hrsupport_india@micron.com. Micron Technology strictly prohibits the use of child labor and complies with all applicable laws, rules, regulations, and international labor standards. Candidates are encouraged to use AI tools to enhance their application materials, ensuring accuracy and truthfulness in representing their skills and experiences. Fabrication or misrepresentation will lead to immediate disqualification. As a Data Scientist at Micron Technology, you will be part of a transformative journey that shapes the future of information utilization and enriches lives across the globe.,

You will be joining a pioneering AI team where you will be responsible for designing and deploying cutting-edge deep learning solutions for computer vision and audio analysis. Your main tasks will include designing, developing, and optimizing deep learning models for image/video analysis (object detection, segmentation) and audio classification tasks. You will work with CNN architectures, Vision Transformers (ViT, Swin), and attention mechanisms (SE, CBAM, self/cross-attention) to address complex real-world challenges. In this role, you will process multi-modal data including video and audio. For video, you will apply spatiotemporal modeling (3D CNNs, temporal attention), while for audio, you will extract features (spectrograms, MFCCs) and build classification pipelines. You will also utilize pretrained models through transfer learning and multi-task learning frameworks, and optimize models for accuracy, speed, and robustness using PyTorch/TensorFlow. Collaboration with MLOps teams to deploy solutions into production is a key aspect of this role. Your required skills include advanced programming in Python (PyTorch/TensorFlow), expertise in computer vision concepts such as Vision Transformers, object detection techniques (YOLO, SSD, Faster R-CNN, DETR), and video analysis methods including temporal modeling. Additionally, you should have experience in audio processing, attention mechanisms, transfer learning, and training strategies. Experience in handling large-scale datasets and building data pipelines is also essential. Preferred qualifications for this role include exposure to multi-modal learning, familiarity with R for statistical analysis, and a background in publications or projects related to computer vision or machine learning conferences such as CVPR, NeurIPS, ICML. Please note that this position is for a client of Hubnex Labs, and selected candidates will work directly with the client's AI team while representing Hubnex.,

At PwC, the software and product innovation team focuses on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. Combining technical experience with creative thinking, individuals in software engineering at PwC work towards developing innovative software solutions that drive digital transformation and enhance business performance. The primary responsibilities include designing, coding, and testing cutting-edge applications to revolutionize industries and deliver exceptional user experiences. In this role, you will build meaningful client connections, manage and inspire others, and navigate complex situations to deepen technical expertise and awareness of strengths. Anticipating the needs of teams and clients is crucial, along with delivering quality results. Embracing ambiguity and utilizing moments of uncertainty as opportunities for growth are key aspects of this position. The required skills and experiences at this level include responding effectively to diverse perspectives, using a range of tools to generate new ideas, employing critical thinking to solve complex problems, understanding project objectives and broader business strategies, enhancing self-awareness through reflection, interpreting data for insights, and upholding professional and technical standards. As a Senior Associate in the Business services support Line of Service at PwC, you will be part of the AI, Technology, and Innovation team. This team focuses on leveraging advanced technologies to design and develop robust data solutions for the Acceleration Centre. Responsibilities include collaborating with cross-functional teams, designing and maintaining software solutions, implementing event-driven architectures for real-time data processing, utilizing containerization technologies, developing and managing data lakes, and staying updated with the latest advancements in GenAI technologies. Proficiency in Python and software engineering best practices for AI systems is essential for this role, along with hands-on experience in developing and deploying AI models in production environments. Experience in designing and implementing generative AI models, conducting research on the latest AI techniques, optimizing existing AI models, and developing AI pipelines are key responsibilities. The candidate should have a deep understanding of state-of-the-art AI architectures, proficiency in Python and machine learning libraries, strong knowledge of data structures and algorithms, effective communication skills, proactive mindset, and familiarity with cloud-based platforms and services like Azure or AWS.,