Showing 48 AI Models jobs in Delhi
AI Research Scientist - Generative Models
Posted 16 days ago
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            Lead AI Research Scientist (Generative Models)
Posted today
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Key Responsibilities:
- Lead and conduct groundbreaking research in AI, focusing on generative models.
- Develop and implement novel AI algorithms and machine learning techniques.
- Mentor and guide a team of AI researchers and engineers.
- Publish research findings in leading AI conferences and journals.
- Collaborate with product and engineering teams to translate research into practical solutions.
- Stay updated with the latest advancements in AI and machine learning.
- Contribute to the company's intellectual property strategy through patents and publications.
- Design and execute experiments to validate research hypotheses.
- Evaluate and benchmark new AI models and techniques.
- Present research progress and findings to stakeholders.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of research experience in AI, with a focus on generative models (e.g., GANs, VAEs, Transformers).
- Strong publication record in top-tier AI conferences (NeurIPS, ICML, ICLR, CVPR, ACL, etc.).
- Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data processing and distributed training.
- Proven leadership and project management skills.
- Excellent analytical, critical thinking, and problem-solving abilities.
- Strong communication and presentation skills.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
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            Senior AI Research Scientist - Generative Models
Posted 3 days ago
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The ideal candidate possesses a Ph.D. or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a strong publication record in top-tier AI conferences and journals. You should have a deep theoretical understanding and practical expertise in deep learning, particularly in areas such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Diffusion Models, and Transformer architectures. You will be responsible for designing, implementing, and evaluating cutting-edge generative AI solutions, conducting rigorous experiments, and disseminating your findings through technical reports and presentations. This position requires a proactive and curious mindset, with the ability to identify impactful research problems and devise innovative solutions.
Key Responsibilities:
- Conduct cutting-edge research in generative AI models, exploring new methodologies and architectures.
- Develop and implement novel algorithms for image, text, audio, or other data generation.
- Design and execute experiments to evaluate model performance and validate research hypotheses.
- Analyze complex datasets and extract insights to inform model development.
- Stay up-to-date with the latest research trends and advancements in machine learning and AI.
- Collaborate with cross-functional teams, including product managers and software engineers, to translate research breakthroughs into practical applications.
- Publish research findings in leading AI conferences and journals.
- Mentor junior researchers and contribute to a culture of innovation and scientific excellence.
- Optimize and deploy generative models for real-world applications.
- Contribute to the overall AI strategy and roadmap of the company.
- Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field.
- 5+ years of post-doctoral or industry research experience in AI, with a focus on generative models.
- Proven track record of impactful research, evidenced by publications in venues like NeurIPS, ICML, ICLR, CVPR, ACL, etc.
- Deep understanding of deep learning principles, including CNNs, RNNs, Transformers, GANs, VAEs, and Diffusion Models.
- Expertise in programming languages such as Python and proficiency with deep learning frameworks like TensorFlow, PyTorch, or JAX.
- Strong analytical and problem-solving skills, with the ability to tackle complex research challenges.
- Excellent communication and collaboration skills, with the ability to present technical concepts clearly.
- Experience with large-scale data processing and distributed training is a plus.
- Familiarity with ethical considerations in AI development.
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            Senior AI Research Scientist - Generative Models
Posted 4 days ago
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Responsibilities:
- Conduct advanced research into generative AI, exploring new methodologies for model training, optimization, and fine-tuning.
- Develop and implement novel neural network architectures and algorithms for tasks such as text generation, image synthesis, and multimodal AI.
- Collaborate with cross-functional teams including software engineers, product managers, and other researchers to translate research breakthroughs into tangible products and features.
- Stay abreast of the latest academic research and industry trends in AI and machine learning, identifying opportunities for innovation.
- Design and execute rigorous experiments to evaluate model performance, analyze results, and iterate on designs.
- Publish research findings in top-tier AI conferences and journals.
- Mentor junior researchers and contribute to the team's overall technical growth.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on research experience in AI/ML, with a focus on deep learning and generative models.
- Proven track record of publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR).
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong understanding of mathematical principles underlying machine learning (linear algebra, calculus, probability, statistics).
- Experience with distributed training and large-scale model deployment is a plus.
- Excellent problem-solving skills and a passion for tackling complex challenges.
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            Principal AI Research Scientist - Generative Models
Posted 8 days ago
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Key Responsibilities:
- Lead research initiatives in areas such as large language models, diffusion models, GANs, and other generative AI paradigms.
- Design, implement, and rigorously evaluate novel AI algorithms and architectures.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning, identifying opportunities for innovation.
- Mentor junior researchers and engineers, fostering a collaborative and intellectually stimulating environment.
- Contribute to the strategic direction of AI research within the organization.
- Publish research findings in leading academic venues and represent the company at conferences.
- Develop and maintain high-quality, production-ready code for AI models.
- Collaborate with product teams to translate research breakthroughs into tangible applications.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong focus on generative models.
- 5+ years of post-Ph.D. research experience in AI/ML.
- Proven track record of impactful research demonstrated through publications and patents.
- Expertise in Python and deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Deep understanding of mathematical foundations of machine learning, including linear algebra, calculus, and probability.
- Experience with distributed training and large-scale AI systems.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex technical concepts to diverse audiences.
- This role is **fully remote**, requiring self-discipline, strong time management, and effective virtual collaboration skills.
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            Senior AI Research Scientist - Generative Models
Posted 11 days ago
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Responsibilities:
- Conduct cutting-edge research in generative AI, including but not limited to, Large Language Models (LLMs), diffusion models, and GANs.
- Develop and implement novel algorithms and architectures for AI model creation and optimization.
- Design and execute complex experiments to evaluate and validate research findings.
- Publish research findings in top-tier AI conferences and journals.
- Collaborate with a global team of researchers and engineers to translate research into practical applications.
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Contribute to the intellectual property of the organization through patents and proprietary algorithms.
- Mentor junior researchers and interns, fostering a collaborative and innovative research environment.
- Develop and maintain robust, scalable, and efficient AI research infrastructure.
- Present research progress and findings to internal stakeholders and external audiences.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 6 years of post-doctoral research experience in AI, with a strong publication record in generative models.
- Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proven experience with developing, training, and evaluating large-scale generative models (LLMs, diffusion models, GANs).
- Strong understanding of NLP, computer vision, and reinforcement learning concepts.
- Excellent programming skills in Python.
- Experience with distributed training and high-performance computing environments.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent written and verbal communication skills, with the ability to articulate complex technical concepts.
- Ability to work independently and collaboratively in a fully remote, fast-paced research setting.
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            Lead AI Research Scientist - Generative Models
Posted 18 days ago
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Job Description
This role requires a deep understanding of machine learning, deep learning frameworks (TensorFlow, PyTorch), and related mathematical foundations. You will conduct cutting-edge research, publish findings in top-tier academic conferences and journals, and stay abreast of the latest advancements in the field. Collaboration with cross-functional teams, including product managers and software engineers, will be essential to translate research breakthroughs into tangible AI-powered solutions. The ideal candidate will have a proven ability to mentor junior researchers, manage research roadmaps, and foster a culture of innovation and scientific rigor within a remote team structure. Experience with large-scale datasets and distributed computing environments is highly desirable. We are looking for an individual who can not only drive research but also inspire and lead by example.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Minimum of 8 years of post-doctoral research experience in AI, with a significant focus on generative models (e.g., GANs, VAEs, Transformers).
- Strong publication record in leading AI conferences (NeurIPS, ICML, ICLR, CVPR, ACL, etc.).
- Expertise in deep learning frameworks (TensorFlow, PyTorch) and programming languages (Python).
- Experience leading research teams and managing complex projects.
- Proven ability to develop and implement novel AI algorithms.
- Excellent problem-solving and analytical skills.
- Strong communication and presentation skills, capable of articulating complex technical concepts to diverse audiences.
- Ability to work effectively and independently in a fully remote, global team environment.
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Senior AI Research Scientist - Generative Models
Posted 26 days ago
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Job Description
Responsibilities:
- Conduct in-depth research into advanced AI techniques, with a strong emphasis on generative adversarial networks (GANs), variational autoencoders (VAEs), diffusion models, and transformer-based architectures.
- Develop and prototype novel algorithms and models for image generation, text synthesis, music composition, and data augmentation.
- Collaborate with cross-functional teams, including software engineers and product managers, to translate research findings into practical applications and features.
- Stay abreast of the latest research papers, industry trends, and technological advancements in AI and machine learning.
- Design and execute rigorous experiments to evaluate model performance, robustness, and scalability.
- Publish research findings in top-tier AI conferences and journals.
- Mentor junior researchers and contribute to building a strong research culture.
- Contribute to the development of intellectual property and patents.
- Ensure ethical considerations and bias mitigation are integrated into model development.
- Optimize models for deployment in real-world scenarios.
- 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 generative AI, with publications in leading venues.
- Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Deep understanding of mathematical concepts underpinning machine learning, including linear algebra, calculus, and probability.
- Experience with large-scale datasets and distributed training.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities.
- Ability to work independently and as part of a team in a fast-paced research environment.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
- Familiarity with MLOps practices and tools is advantageous.
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            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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