437 Deep Learning jobs in Noida

Lead Deep Learning Researcher

As a Lead Deep Learning Researcher, you will be responsible for developing and implementing large-scale prediction models to analyze user behavior patterns on OTT platforms. Your primary goal is to predict users' likelihood of leaving the platform along with plausible reasons behind their behavior.

Key Responsibilities:

• Develop Models
• Build Causal Inference–based Intervention Models
• Contribute to Developing and Evaluating Models
• Work Closely with Other Researchers

You will have the opportunity to contribute to millions of OTT platform users by leveraging AI capabilities to improve their experience. Additionally, you will contribute to the research community by sharing insights and participating in external academic workshops and conferences.

Work Environment

• This position is remote within India.

Required Education and Skills:

• Candidates should have successfully completed a Ph.D./Master degree from a reputable institution with a strong background in applied deep learning and machine learning .
• Strong understanding of handling large-scale datasets with SQL
• Understanding of current state-of-the-art machine learning literature
• Prior experience in developing large-scale prediction and reasoning models
• Proficiency in Python and one or more popular deep learning frameworks

Good to Have Skills:

• 0-1 year of work experience in building and deploying large-scale predictive models in production
• 0-1 year of work experience in LLM/NLP projects within a start-up environment
• Good publication record

Our Values:

• Dreams & Curiosity
• Diversity
• Integrity & Sincerity
• Sustainability

This organization is committed to equal opportunity in all its employment practices, policies, and procedures. We strive to create an inclusive environment that values diversity and promotes equal opportunities for all employees and applicants.

• Conduct state-of-the-art research in deep learning, machine learning, and related AI fields.
• Develop, train, and evaluate complex deep learning models for various applications.
• Design and implement novel AI algorithms and architectures.
• Collaborate with cross-functional teams to integrate AI solutions into existing products and services.
• Analyze and interpret large, complex datasets to extract actionable insights.
• Stay abreast of the latest advancements and trends in AI and machine learning research.
• Publish research findings in leading conferences and journals.
• Mentor junior researchers and engineers, fostering a culture of learning and innovation.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research and development in deep learning, with publications in top-tier venues.
• Strong programming skills in Python and proficiency with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with large-scale data processing and distributed computing frameworks (e.g., Spark).
• Solid understanding of statistical modeling, algorithms, and data structures.
• Excellent problem-solving, analytical, and critical thinking skills.
• Ability to work independently and collaboratively in a remote environment.
• Exceptional communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.

• Design, develop, and implement advanced deep learning models for various applications, including but not limited to natural language processing, computer vision, and predictive analytics.
• Conduct thorough research into state-of-the-art AI/ML techniques and methodologies.
• Preprocess and clean large datasets, ensuring data quality and relevance for model training.
• Train, evaluate, and optimize machine learning models for performance, accuracy, and efficiency.
• Deploy models into production environments, collaborating with software engineering teams to ensure seamless integration.
• Develop and maintain robust ML pipelines and infrastructure.
• Stay abreast of the latest research papers, industry trends, and emerging technologies in AI and ML.
• Mentor junior engineers and contribute to the team's technical growth.
• Collaborate with product managers and stakeholders to understand business requirements and translate them into technical solutions.
• Present technical findings and project updates to both technical and non-technical audiences.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of hands-on experience in developing and deploying deep learning models.
• Proficiency in Python and relevant ML libraries/frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn.
• Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Solid foundation in statistics, algorithms, and data structures.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills, suitable for a remote work environment.
• Experience with distributed training and large-scale data processing is a plus.

• Design, develop, and implement deep learning models for computer vision tasks such as image classification, object detection, segmentation, and generative modeling.
• Conduct research on novel AI algorithms and techniques to solve challenging problems.
• Preprocess and augment large-scale datasets for training and validation of AI models.
• Train, fine-tune, and evaluate deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
• Deploy AI models into production environments, ensuring scalability, efficiency, and robustness.
• Collaborate with software engineers to integrate AI models into applications and systems.
• Analyze model performance, identify areas for improvement, and implement optimizations.
• Stay abreast of the latest research and advancements in AI, machine learning, and computer vision.
• Develop and maintain high-quality, well-documented code.
• Contribute to the design and architecture of AI/ML systems and pipelines.
• Participate in code reviews and knowledge-sharing sessions with the team.
• Effectively communicate research findings, model performance, and technical insights to cross-functional teams and stakeholders.
• Experiment with new tools, libraries, and technologies in the AI/ML space.
• Mentor junior engineers and contribute to a collaborative research environment.
• Ensure ethical considerations and bias mitigation are addressed in AI model development.
• Develop benchmarks and metrics for evaluating AI model effectiveness.
• Troubleshoot and resolve issues related to AI model development and deployment.
• Contribute to intellectual property generation through research and innovation.
• Manage project timelines and deliverables for AI/ML initiatives.
• Proactively identify new applications and opportunities for AI technology.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 3+ years of hands-on experience in developing and deploying deep learning models, with a strong focus on computer vision.
• Proficiency in programming languages such as Python.
• Extensive experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Strong understanding of classical computer vision algorithms (e.g., OpenCV, image processing techniques).
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
• Experience with MLOps principles and tools for model deployment and lifecycle management is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills for effective collaboration in a remote setting.
• Ability to work independently, manage priorities, and deliver high-quality results.
• Demonstrated ability to research and implement cutting-edge AI techniques.
• Experience with large-scale datasets and distributed training is highly desirable.
• Publications in top-tier AI/ML conferences or journals are a significant advantage.

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.

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.

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.

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.