What Jobs are available for AI Research in Delhi?
Showing 116 AI Research jobs in Delhi
AI Research Scientist - Deep Learning
Posted 11 days ago
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            Senior AI Research Scientist - Deep Learning
Posted 17 days ago
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            Lead AI Research Scientist - Deep Learning
Posted 23 days ago
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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.
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            Principal AI Research Scientist - Deep Learning
Posted 24 days ago
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            AI Research Scientist
Posted 6 days ago
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            AI Research Scientist
Posted 16 days ago
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            AI Research Scientist
Posted 16 days ago
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Key Responsibilities:
- Conduct research and development in areas such as deep learning, natural language processing, computer vision, reinforcement learning, or other AI domains.
- Design, implement, and evaluate novel AI algorithms and models.
- Collaborate with cross-functional teams, including software engineers and product managers, to translate research findings into practical applications.
- Analyze large datasets to identify patterns, extract insights, and train machine learning models.
- Stay abreast of the latest advancements in AI research by reading academic papers, attending conferences, and engaging with the research community.
- Develop and maintain robust experimental setups and rigorous evaluation methodologies.
- Publish research findings in top-tier conferences and journals.
- Contribute to the intellectual property portfolio of the company through patents and publications.
- Mentor junior researchers and engineers.
- Present research results to technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Demonstrated research experience in AI/ML, evidenced by publications in reputable venues or significant contributions to open-source projects.
- Strong theoretical foundation in machine learning, deep learning, statistics, and algorithm design.
- Proficiency in programming languages such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies and distributed computing is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts clearly.
- Ability to work effectively both independently and collaboratively in a hybrid work environment.
- Experience in developing and deploying AI models in production is highly desirable.
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AI Research Scientist
Posted 17 days ago
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            AI Research Scientist - Machine Learning
Posted 2 days ago
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Key Responsibilities:
- Conduct research and development in advanced machine learning algorithms and techniques.
- Design, implement, and evaluate novel AI models for various applications.
- Collaborate with engineering teams to integrate ML models into production systems.
- Analyze large datasets to extract insights and identify patterns.
- Stay abreast of the latest advancements in AI and machine learning research.
- Publish research findings in top-tier conferences and journals.
- Develop and implement robust data preprocessing and feature engineering pipelines.
- Contribute to the development of AI/ML frameworks and tools.
- Mentor junior researchers and engineers in AI/ML topics.
- Present research outcomes and technical solutions to diverse audiences.
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            AI Research Scientist - Machine Learning
Posted 4 days ago
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Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of research and development experience in AI/ML, with a strong publication record.
- Proven expertise in at least one of the following areas: deep learning, NLP, computer vision, reinforcement learning, or related fields.
- Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Keras.
- Experience with data analysis, statistical modeling, and algorithm development.
- Strong understanding of linear algebra, calculus, and probability.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to work independently and collaboratively in a remote-first environment.
- Experience with MLOps and deploying ML models is a significant plus.
- Strong communication and presentation skills.
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