14,981 AI Research jobs in India
AI Research Scientist - Deep Learning
Posted today
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Job Description
- Conducting original research in deep learning and related areas of artificial intelligence.
- Designing, developing, and implementing novel deep learning models and algorithms.
- Experimenting with large datasets to train and evaluate AI models.
- Analyzing research results and presenting findings to internal teams and the broader scientific community.
- Collaborating with engineering teams to translate research prototypes into production-ready systems.
- Staying current with the latest advancements in AI and machine learning literature.
- Contributing to research proposals and seeking external funding opportunities.
- Mentoring junior researchers and interns.
- Publishing research findings in leading academic venues.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
- Demonstrated experience in deep learning research, with a strong portfolio of publications in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR) or journals.
- Expertise in at least one major deep learning framework (e.g., TensorFlow, PyTorch, Keras).
- Solid understanding of machine learning fundamentals, including supervised, unsupervised, and reinforcement learning.
- Experience with programming languages such as Python.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills, with the ability to work effectively in a remote, global team.
- Experience with distributed training and large-scale data processing is a plus.
- Specialization in areas like computer vision, natural language processing, or generative models is highly desirable.
AI Research Scientist - Deep Learning
Posted 2 days ago
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Key Responsibilities:
- Conduct cutting-edge research in deep learning and artificial intelligence.
- Develop, implement, and evaluate novel AI models and algorithms.
- Design and execute experiments to test and validate AI hypotheses.
- Analyze large datasets to extract meaningful insights and train models effectively.
- Stay current with the latest research trends and publications in AI and machine learning.
- Collaborate with engineering teams to integrate research findings into production systems.
- Contribute to academic publications and present research findings at conferences.
- Mentor junior researchers and contribute to knowledge sharing within the team.
- Identify and explore new research opportunities and potential applications of AI.
- Maintain high standards of scientific rigor and reproducibility in all research activities.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven experience in deep learning research and development.
- Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Keras.
- Expertise in one or more areas such as NLP, computer vision, or reinforcement learning.
- Solid understanding of statistical methods and machine learning theory.
- Excellent analytical and problem-solving skills.
- Ability to work independently and collaboratively in a remote environment.
- Strong publication record in top-tier AI conferences and journals is a significant plus.
AI Research Scientist - Deep Learning
Posted 6 days ago
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Job Description
- Conducting fundamental and applied research in AI and machine learning
- Developing and implementing novel deep learning architectures and algorithms
- Designing and executing experiments, analyzing results, and drawing conclusions
- Collaborating with engineers to deploy AI models into production systems
- Publishing research findings in top-tier conferences and journals
- Mentoring junior researchers and interns
- Presenting research outcomes to technical and non-technical audiences
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Proven experience in deep learning frameworks (e.g., TensorFlow, PyTorch)
- Strong programming skills in Python
- Expertise in at least one subfield of AI (e.g., NLP, Computer Vision, Reinforcement Learning)
- Excellent problem-solving and analytical skills
- Strong communication and collaboration abilities
AI Research Scientist - Deep Learning
Posted 6 days ago
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Job Description
Key responsibilities include:
- Conducting research and development in deep learning and artificial intelligence.
- Designing, training, and evaluating complex neural network models.
- Implementing AI solutions for real-world problems across various industries.
- Staying abreast of the latest advancements in AI research and applying them to projects.
- Collaborating with cross-functional teams to integrate AI models into products and services.
- Publishing research findings in top-tier conferences and journals.
- Mentoring junior researchers and contributing to the team's knowledge base.
Senior AI Research Scientist - Deep Learning
Posted today
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Responsibilities:
- Conduct advanced research in deep learning, machine learning, and related AI fields.
- Design, develop, and implement state-of-the-art deep learning models for various applications, including natural language processing, computer vision, and reinforcement learning.
- Experiment with new AI architectures, techniques, and tools to push the boundaries of current AI capabilities.
- Analyze and interpret large datasets to extract valuable insights and inform model development.
- Collaborate with engineering teams to prototype, test, and deploy AI solutions into production environments.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and engineers, fostering a culture of learning and innovation.
- Stay abreast of the latest advancements in AI and machine learning research globally.
- Contribute to the strategic roadmap for AI initiatives within the company.
- Maintain high standards of code quality, documentation, and reproducibility in research.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of conducting impactful AI research, evidenced by publications, patents, or contributions to open-source projects.
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong programming skills in Python, with proficiency in libraries like NumPy, SciPy, and Pandas.
- Solid understanding of machine learning principles, algorithms, and statistical modeling.
- Experience with distributed training and large-scale data processing.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and collaboration abilities, especially in a remote setting.
- Ability to work independently and manage multiple research projects simultaneously.
- Familiarity with cloud platforms (AWS, GCP, Azure) is a plus.
This is an exceptional opportunity to shape the future of AI and make a significant impact from the comfort of your home. The ideal candidate thrives in a dynamic, remote environment and is passionate about pushing the frontiers of artificial intelligence. The role is based in our virtual office, offering flexibility and global reach, accessible from anywhere. Join a team that values innovation, collaboration, and groundbreaking research. We are committed to fostering a diverse and inclusive remote workforce.
Senior AI Research Scientist - Deep Learning
Posted today
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Job Description
Responsibilities:
- Lead research initiatives in deep learning and AI.
- Develop and implement novel AI algorithms and models.
- Design and conduct experiments, analyze results, and draw conclusions.
- Collaborate with engineering teams for model deployment.
- Stay updated with AI research trends and literature.
- Mentor junior AI researchers and interns.
- Prepare research papers and present findings.
- PhD or Master's degree in Computer Science, AI, or related field.
- 5+ years of research experience in AI/ML.
- Expertise in deep learning frameworks (TensorFlow, PyTorch).
- Strong programming skills in Python.
- Excellent analytical and problem-solving abilities.
- Proven track record of research publications.
Senior AI Research Scientist - Deep Learning
Posted today
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Job Description
Responsibilities:
- Design, develop, and implement advanced deep learning models and algorithms for various AI applications, including natural language processing, computer vision, and reinforcement learning.
- Conduct in-depth research into emerging AI technologies and techniques, staying abreast of the latest advancements in the field.
- Collaborate with cross-functional teams, including software engineers and product managers, to translate research findings into practical, scalable AI solutions.
- Analyze and interpret large datasets to extract meaningful insights and train sophisticated models.
- Develop and maintain robust research methodologies and experimental frameworks.
- Publish research findings in top-tier academic conferences and journals.
- Mentor junior researchers and contribute to the overall intellectual growth of the AI team.
- Contribute to the development of intellectual property and patent applications.
- Evaluate and optimize the performance of AI models for efficiency and accuracy.
- Present research progress and findings to stakeholders and leadership.
- 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 reputable venues.
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and proficiency with relevant libraries (e.g., NumPy, SciPy, Pandas).
- Solid understanding of various machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with large-scale data processing and distributed computing frameworks (e.g., Spark).
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
- A passion for innovation and a drive to make a significant impact in the field of AI.
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Principal AI Research Scientist - Deep Learning
Posted 1 day ago
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Responsibilities:
- Conceive, design, and lead groundbreaking research projects in deep learning and artificial intelligence.
- Develop and implement novel deep learning algorithms, models, and architectures.
- Conduct rigorous theoretical and empirical research to advance the state-of-the-art.
- Publish research findings in leading AI conferences and journals.
- Collaborate with engineering teams to prototype and deploy AI models into production systems.
- Analyze large-scale datasets and extract meaningful insights.
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Mentor and guide junior researchers and engineers.
- Present research proposals and results to internal stakeholders and the broader research community.
- Evaluate and benchmark new AI techniques and technologies.
- Contribute to the intellectual property portfolio through patent applications.
- Identify and pursue research opportunities aligned with company strategic goals.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8 years of post-doctoral research experience in deep learning.
- A strong publication record in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Deep theoretical understanding of machine learning, statistical modeling, and deep learning principles.
- Expertise in at least one major deep learning framework (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python, and experience with scientific computing libraries.
- Experience with various deep learning architectures (CNNs, RNNs, Transformers, GANs, GNNs).
- Proven ability to lead research initiatives and mentor team members.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong communication and presentation skills.
- Experience with large-scale data processing and distributed computing environments is a plus.
Senior AI Research Scientist - Deep Learning
Posted 1 day ago
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Job Description
Senior AI Research Scientist - Deep Learning
Posted 1 day ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct fundamental and applied research in deep learning and artificial intelligence.
- Design, implement, and evaluate novel deep learning models and algorithms.
- Develop and train models for tasks such as image recognition, object detection, text generation, and sentiment analysis.
- Analyze large datasets, identify patterns, and extract insights to drive AI model development.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI solutions into products and services.
- Publish research findings in top-tier AI conferences and journals.
- Stay current with the latest research trends and advancements in the AI and machine learning community.
- Mentor junior researchers and contribute to the overall research strategy.
- Develop prototypes and proof-of-concepts to demonstrate the feasibility of new AI approaches.
- Contribute to the development of intellectual property and patents.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of research experience in deep learning and AI.
- Strong publication record in leading AI conferences (e.g., NeurIPS, ICML, CVPR, ACL) or journals.
- Expertise in one or more deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, with extensive experience in data science libraries (e.g., NumPy, Pandas, SciPy).
- Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with cloud computing platforms (AWS, Azure, GCP) for AI model training is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex AI concepts to diverse audiences.
- Ability to work effectively in both remote and in-office collaborative settings.