368 AI Research jobs in Delhi
AI Research Scientist - Deep Learning
Posted 4 days ago
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Responsibilities:
- Conduct cutting-edge research in deep learning and related AI fields.
- Design, develop, and implement novel deep learning models and algorithms.
- Experiment with different neural network architectures and training techniques.
- Process and analyze large-scale datasets for model training and evaluation.
- Evaluate model performance, identify limitations, and propose improvements.
- Collaborate with engineers to deploy research models into production systems.
- Stay abreast of the latest advancements in AI and machine learning research.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and interns.
- Contribute to grant proposals and research project planning.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- Proven track record of research and publications in leading AI conferences/journals.
- Deep understanding of various deep learning architectures (CNNs, RNNs, Transformers, GANs).
- Expertise in deep learning frameworks like TensorFlow, PyTorch, or JAX.
- Proficiency in Python and relevant libraries (NumPy, SciPy, Pandas).
- Experience with large-scale data processing and distributed computing.
- Familiarity with cloud computing platforms (AWS, Azure, GCP).
- Strong analytical, mathematical, and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a research-intensive environment.
AI Research Scientist (Deep Learning)
Posted 4 days ago
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Job Description
Key Responsibilities:
- Conduct fundamental and applied research in deep learning and artificial intelligence.
- Develop and implement novel deep learning models and algorithms.
- Design and execute experiments to evaluate model performance.
- Publish research findings in top-tier AI conferences and journals.
- Collaborate with a team of researchers and engineers on cutting-edge projects.
- Explore and apply AI techniques to solve complex real-world problems.
- Contribute to the company's intellectual property through patents and publications.
- Stay abreast of the latest advancements in AI and machine learning.
- Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field.
- 3+ years of research experience in deep learning (post-doctoral or industry).
- Strong publication record in leading AI conferences (e.g., NeurIPS, ICML, ICLR).
- Proficiency in deep learning frameworks like TensorFlow or PyTorch.
- Expertise in areas such as computer vision, NLP, or reinforcement learning.
- Excellent programming skills in Python.
- Strong analytical and problem-solving abilities.
- Ability to conduct independent research and work effectively in a remote team.
Lead AI Research Scientist - Deep Learning
Posted today
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The Lead AI Research Scientist will mentor a team of talented researchers and engineers, fostering a collaborative and innovative environment. You will conduct rigorous experiments, analyze results, and publish findings in leading academic conferences and journals. A key aspect of this role is to stay abreast of the latest advancements in AI and translate theoretical knowledge into practical solutions that can create significant business value. You will collaborate closely with product teams, data scientists, and software engineers to integrate research breakthroughs into our evolving AI platforms. This includes developing and refining algorithms, prototyping new features, and contributing to the overall AI strategy of the organization. The ideal candidate will possess a deep theoretical understanding of machine learning principles, coupled with hands-on experience in implementing and deploying complex AI models. You should be adept at translating ambiguous problems into well-defined research questions and possess a strong publication record or equivalent research output. Your ability to lead and inspire a research team, coupled with excellent communication skills, will be crucial for success in this role. We are looking for a visionary individual who is passionate about pushing the boundaries of AI and has a proven ability to deliver impactful research outcomes.
Key Responsibilities:
- Lead research initiatives in deep learning and related AI fields.
- Design, develop, and implement novel AI algorithms and models.
- Conduct rigorous scientific experiments and analyze performance.
- Publish research findings in top-tier conferences and journals.
- Mentor and guide junior research scientists and engineers.
- Collaborate with cross-functional teams to integrate AI solutions.
- Stay updated with the latest AI research trends and technologies.
- Contribute to the strategic direction of AI research within the company.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Extensive research experience in deep learning, with a strong publication record.
- Expertise in at least one major deep learning framework (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python.
- Proven experience in areas like NLP, Computer Vision, or Reinforcement Learning.
- Strong theoretical foundation in machine learning and statistics.
- Demonstrated leadership and team management capabilities.
- Excellent analytical and problem-solving skills.
Principal AI Research Scientist - Deep Learning
Posted 1 day ago
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Principal AI Research Scientist - Deep Learning
Posted 4 days ago
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Job Description
Responsibilities:
- Lead groundbreaking research in deep learning, machine learning, and artificial intelligence, focusing on areas such as computer vision, natural language processing, or reinforcement learning.
- Develop novel AI architectures, algorithms, and models to address challenging research questions and business needs.
- Design and conduct rigorous experiments to evaluate model performance and feasibility.
- Publish research findings in top-tier scientific journals and present at international conferences.
- Mentor and guide a team of AI researchers and engineers, fostering a collaborative and innovative research environment.
- Collaborate with product teams to translate research breakthroughs into practical applications and scalable solutions.
- Stay abreast of the latest advancements in AI research and identify opportunities for innovation.
- Contribute to the development of intellectual property and patent applications.
- Manage research projects, ensuring alignment with strategic objectives and timelines.
- Evaluate and implement state-of-the-art AI frameworks and tools (e.g., TensorFlow, PyTorch).
- Contribute to the strategic direction of the AI research roadmap.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field from a top-tier university.
- Minimum of 8+ years of research experience in AI/ML, with a significant focus on deep learning, demonstrated through publications in leading conferences (e.g., NeurIPS, ICML, CVPR, ACL) and journals.
- Proven track record of leading successful research projects and delivering impactful results.
- Expertise in one or more of the following areas: deep learning frameworks (TensorFlow, PyTorch), computer vision, natural language processing, reinforcement learning, or generative models.
- Strong theoretical foundation in machine learning and statistics.
- Excellent programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, Pandas).
- Exceptional analytical, problem-solving, and critical thinking abilities.
- Outstanding written and verbal communication skills, with the ability to clearly articulate complex research concepts.
- Demonstrated leadership and mentoring capabilities.
- Ability to work independently and collaboratively in a fast-paced, research-intensive environment.
- Experience with large-scale data processing and distributed computing is a plus.
Senior AI Research Scientist, Deep Learning
Posted 4 days ago
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Key Responsibilities:
- Lead research and development initiatives in areas such as natural language processing, computer vision, reinforcement learning, and generative models.
- Design, implement, and evaluate state-of-the-art deep learning algorithms and architectures.
- Collaborate with product managers and engineering teams to translate research breakthroughs into production-ready AI solutions.
- Publish research findings in top-tier academic conferences and journals.
- Mentor junior researchers and engineers, fostering a culture of scientific excellence and innovation.
- Stay current with the latest advancements in AI/ML and identify opportunities for applying them to our business challenges.
- Develop novel approaches to data augmentation, model optimization, and explainable AI.
- Contribute to the development of internal AI frameworks and tools.
- Present research progress and findings to technical and non-technical audiences.
- Proactively identify and address ethical considerations in AI development and deployment.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in AI research and development, with a strong focus on deep learning.
- Proven expertise in one or more subfields of AI (NLP, CV, RL, etc.).
- Proficiency in programming languages such as Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong publication record in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Experience working with large-scale datasets and distributed computing environments.
- Excellent problem-solving skills and a rigorous scientific approach.
- Strong communication and collaboration skills, essential for a remote team.
- Ability to work independently and manage multiple projects concurrently.
- A passion for advancing the field of artificial intelligence and its practical applications.
AI Research Scientist
Posted 4 days ago
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AI Research Scientist
Posted 4 days ago
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AI Research Scientist
Posted 4 days ago
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Job Description
Responsibilities:
- Conduct fundamental and applied research in areas such as machine learning, deep learning, natural language processing, computer vision, and reinforcement learning.
- Design, implement, and evaluate novel AI algorithms and models.
- Collaborate with engineering teams to translate research prototypes into production-ready systems.
- Analyze and interpret large datasets to extract meaningful insights and inform model development.
- Stay current with the latest advancements in AI research by reading academic papers, attending conferences, and networking with peers.
- Publish research findings in top-tier AI conferences and journals.
- Develop and maintain documentation for research projects and methodologies.
- Mentor junior researchers and interns, fostering a culture of innovation and academic rigor.
- Contribute to the company's intellectual property portfolio through patents and publications.
- Present research results and project progress to technical and non-technical stakeholders.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of significant research contributions in AI, evidenced by publications in top venues.
- Deep understanding of theoretical foundations of machine learning, statistical modeling, and optimization.
- Hands-on experience with major AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Proficiency in programming languages such as Python, C++, or Java.
- Experience with large-scale data processing and distributed computing is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to articulate complex technical concepts.
- Ability to work independently and collaboratively in a fast-paced research environment.
- A strong passion for pushing the boundaries of AI and its applications.
- Experience in specific AI domains such as (mention specific AI subfields if relevant, e.g., Generative AI, Robotics, AI Ethics).
AI Research Scientist
Posted 4 days ago
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Job Description
Key Responsibilities:
- Conduct advanced research in AI and machine learning, identifying novel approaches and algorithms.
- Develop, implement, and evaluate machine learning models for various applications, including prediction, classification, generation, and optimization.
- Design and execute experiments to test hypotheses and validate research findings.
- Stay abreast of the latest research papers, industry trends, and advancements in AI and related fields.
- Collaborate with engineering teams to integrate research prototypes and models into production systems.
- Publish research findings in top-tier conferences and journals, and present work internally and externally.
- Contribute to the development of intellectual property, including patents and proprietary algorithms.
- Mentor junior researchers and engineers, fostering a collaborative and innovative research environment.
- Analyze large datasets to extract insights and inform the development of AI models.
- Explore and implement state-of-the-art techniques in areas such as deep learning, reinforcement learning, NLP, and computer vision.
- Define research objectives and project plans, ensuring alignment with business strategy.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 5-7 years of research experience in AI/ML, demonstrated through publications, patents, or significant contributions to AI projects.
- Strong theoretical foundation and practical experience in machine learning, deep learning, statistical modeling, and algorithms.
- Proficiency in programming languages such as Python, and experience with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with data manipulation and analysis tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to clearly articulate complex research concepts in a remote setting.
- Ability to work independently, manage research projects effectively, and collaborate within a distributed team.
- Experience with cloud computing platforms (AWS, Azure, GCP) and distributed training is a plus.
- Expertise in specific AI subfields like NLP, Computer Vision, or Reinforcement Learning is highly desirable.