361 Deep Learning jobs in Hyderabad

• Conduct original research in deep learning, machine learning, and related AI fields.
• Develop, implement, and evaluate novel deep learning architectures and algorithms for various applications (e.g., computer vision, natural language processing, reinforcement learning).
• Design and execute experiments to test hypotheses and validate models.
• Publish research findings in top-tier academic conferences and journals.
• Collaborate with engineering teams to integrate research prototypes into production systems.
• Stay abreast of the latest advancements in AI and machine learning research globally.
• Mentor junior researchers and interns, providing guidance and technical leadership.
• Contribute to the intellectual property portfolio through patents and publications.
• Analyze large datasets to extract insights and identify patterns relevant to AI model development.
• Develop efficient training methodologies and optimize model performance for scalability and speed.
• Present research findings and project updates to technical and non-technical audiences.
• Contribute to defining the long-term research vision and strategy for the AI team.
• Ensure ethical considerations and responsible AI practices are integrated into research and development.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Strong publication record in leading AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
• Deep understanding of fundamental deep learning concepts, neural network architectures (CNNs, RNNs, Transformers), and optimization techniques.
• Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, Keras.
• Experience with large-scale data processing and distributed computing frameworks.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively in a fast-paced research environment.
• Experience with cloud platforms (AWS, GCP, Azure) for AI workloads is a plus.
• Demonstrated ability to conduct cutting-edge research and deliver impactful results.

• Conduct research and development in areas such as natural language processing, computer vision, reinforcement learning, or generative models.
• Design, implement, and evaluate novel deep learning architectures and algorithms.
• Collaborate with engineering teams to integrate research prototypes into production systems.
• Stay abreast of the latest advancements in AI and machine learning literature and conferences.
• Publish research findings in top-tier academic venues and present work internally and externally.
• Develop and maintain code for machine learning models using Python and relevant libraries (TensorFlow, PyTorch).
• Analyze large datasets to identify patterns and insights for model improvement.
• Mentor junior researchers and engineers.
• Contribute to the strategic direction of AI research within the organization.
• Ensure reproducibility of research results and maintain high scientific standards.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research contributions in deep learning, demonstrated through publications in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
• Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong programming skills in Python, with proficiency in numerical computing libraries (NumPy, SciPy).
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Solid understanding of machine learning theory, algorithms, and best practices.
• Excellent analytical and problem-solving skills.
• Ability to work effectively in a collaborative research environment.
• Strong written and verbal communication skills.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.

• Conduct pioneering research in areas of deep learning, machine learning, neural networks, and related AI fields.
• Develop and implement novel algorithms and models to address complex problems and advance the state-of-the-art.
• Lead research projects from ideation through to prototyping and experimental validation.
• Publish research findings in top-tier academic conferences and journals.
• Collaborate with engineering teams to transition research breakthroughs into production-ready systems and products.
• Mentor and guide junior researchers and engineers, fostering a culture of innovation and scientific rigor.
• Stay abreast of the latest developments in AI research and technology landscape globally.
• Contribute to the strategic direction of AI research within the company.
• Present research work to internal and external audiences, including technical experts and stakeholders.
• Write and secure grants for research projects where applicable.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
• Minimum of 10 years of research experience in AI/ML, with a significant portion focused on deep learning.
• Exceptional publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR) and journals.
• Demonstrated expertise in developing and implementing complex deep learning models (e.g., CNNs, RNNs, Transformers, GANs).
• Proficiency in programming languages such as Python and relevant AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Strong theoretical understanding of machine learning principles, statistics, and mathematics.
• Proven ability to lead research projects and mentor junior team members.
• Excellent communication, presentation, and collaboration skills, especially in a remote setting.
• Experience with large-scale data processing and distributed computing is a plus.
• A passion for scientific discovery and a commitment to advancing the field of artificial intelligence.

• Conduct advanced research in areas of deep learning, machine learning, and artificial intelligence.
• Develop and implement state-of-the-art deep learning models for various applications (e.g., computer vision, natural language processing).
• Design and execute experiments to validate and refine AI algorithms.
• Analyze large datasets to extract insights and identify patterns relevant to AI development.
• Collaborate with a distributed team of researchers and engineers through virtual channels.
• Stay abreast of the latest advancements in AI and deep learning research papers and conferences.
• Publish research findings in top-tier AI conferences and journals.
• Develop and maintain robust, scalable, and efficient AI models.
• Contribute to the open-source AI community.
• Mentor junior researchers and interns.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Demonstrated experience in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong programming skills in Python.
• Proven track record of research publications in reputable AI venues.
• In-depth understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work independently and manage research projects effectively in a remote setting.
• Exceptional communication skills for virtual collaboration and technical presentations.
• Experience with distributed training and large-scale data processing.

• Lead and execute research projects in deep learning and artificial intelligence.
• Develop novel algorithms and models for complex AI challenges.
• Mentor and guide a team of AI researchers and engineers.
• Collaborate with cross-functional teams to integrate AI solutions into products.
• Publish research findings in top-tier conferences and journals.
• Stay current with the latest advancements in AI and machine learning.
• Contribute to the strategic direction of the AI research roadmap.
• Evaluate and benchmark new AI technologies and methodologies.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Extensive experience in deep learning research and development.
• Strong theoretical foundation in machine learning algorithms and statistical modeling.
• Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Demonstrated track record of impactful research publications.
• Experience with distributed systems and cloud platforms (AWS, GCP, Azure).
• Excellent leadership, communication, and collaboration skills.
• Ability to drive research initiatives and manage complex projects.

OpenCV University is looking for Developers obsessed with Research, Experimentation, Teaching, and Knowledge Sharing in the field of Computer Vision, Image Processing, and Deep Learning.

Company Description

OpenCV University is a premier AI education institution offering in-depth and meticulously designed courses on Computer Vision and Deep Learning. We are creating the world's best resources for learning Artificial Intelligence and Computer Vision. Our courses and blogs are used by thousands of users daily. Check out:

Courses:

Blog:

YouTube:

Our Journey

We have come a long way from creating a Computer Vision Course in 2017, when Online Learning was just starting, to a full-fledged Ed-tech offering AI Courses.

We take pride in saying we are a Bootstrapped, profitable platform powered by Big Vision Consulting. Check out our journey on the About Us page:

Mission:

Our Mission is to make OpenCV the No.1 destination for anything related to Computer Vision, for students to learn, for working professionals to upskill, and for Companies to hire talent.

Vision:

OpenCV University's vision is to empower learners across the globe to be a part of a collective AI workforce through our comprehensive courses and an expert team of world-class instructors.

Responsibilities:

This is your opportunity to truly shape one of the most influential disciplines of our time - Artificial Intelligence. We are hiring Computer Vision Engineer professionals with a passion for research and teaching in the field of Computer Vision, Image Processing, and Deep Learning.

Your role will be multifold meaning you will be exposed to a wide variety of work ranging from research to development to deployment to teaching and mentorship. Your responsibilities include:

• Research the latest trends and developments in computer vision technology and techniques and write SEO-compliant blog articles on the latest topics while maintaining the highest quality standards. (For example, currently, we are working on Generative AI and Transformers).
• Work on interesting CV and DL experiments, projects, and applications that become part of the course or deploy applications for demos of blog articles. This also includes creating supporting multimedia content, such as images, videos, and GIFs.
• Designing assessment materials for the courses, such as assignments, projects, and quizzes.
• Mentoring course students in the form of doubt-clearing sessions and career guidance via meetups and forums.
• Working on course updates in the form of checking version changes, corner cases, etc.

Skills required:

• Strong Python programming knowledge (C++ knowledge is a bonus).
• Experience working with computer vision libraries like OpenCV. (TensorFlow, and PyTorch knowledge is a bonus).
• Strong knowledge of deep learning-based computer vision algorithms, classification, segmentation, object detection, key-points detection, etc.
• Knowledge about LLMs, RAGs, VLMs is a plus.
• Knowledge of Other Tools like YOLO, Mediapipe, Android, iOS, FastAPI, Docker, and Kubernetes is a bonus.
• Excellent English speaking and writing skills.
• Candidates with blog posts on computer vision will be preferred.
• Candidates with OpenCV AI course certification will be preferred.
• Strong communication and collaboration skills.