590 AI Research jobs in Hyderabad
Principal AI Research Scientist (Deep Learning)
Posted 8 days ago
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Job Description
Responsibilities:
- Conduct cutting-edge research in deep learning, neural networks, and related AI fields.
- Develop novel algorithms, models, and methodologies to address complex AI challenges.
- Design and implement experiments to validate research hypotheses and evaluate model performance.
- Publish research findings in leading AI conferences (e.g., NeurIPS, ICML, ICLR) and journals.
- Collaborate with cross-functional teams, including engineers and product managers, to transition research into production systems.
- Mentor and guide junior researchers and engineers.
- Stay abreast of the latest advancements and trends in AI and machine learning.
- Contribute to the intellectual property and patent applications of the company.
- Represent the company at conferences and engage with the broader AI research community.
- Identify and explore new research avenues and opportunities.
- Ensure research is aligned with business objectives and market needs.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Extensive experience (typically 7+ years post-PhD or equivalent) in AI research, with a specialization in deep learning.
- Demonstrated track record of impactful research contributions, including publications in top-tier AI venues.
- Deep understanding of various deep learning architectures (CNNs, RNNs, Transformers, GANs, etc.).
- Proficiency in programming languages such as Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale datasets and distributed training systems.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Proven leadership capabilities and experience mentoring junior researchers.
- Ability to work independently and as part of a collaborative research team.
- Familiarity with cloud computing platforms (AWS, GCP, Azure) is a plus.
Senior AI Research Scientist - Deep Learning
Posted 13 days ago
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Job Description
Responsibilities:
- Conduct original research in areas such as natural language processing, computer vision, reinforcement learning, or generative models.
- Design, implement, and evaluate advanced deep learning architectures using frameworks like TensorFlow, PyTorch, or JAX.
- Collaborate with cross-functional teams of engineers, product managers, and other researchers to translate research findings into practical applications and product features.
- Stay abreast of the latest advancements in AI and machine learning by reading research papers, attending conferences, and contributing to the scientific community.
- Mentor junior researchers and engineers, fostering a culture of innovation and knowledge sharing.
- Develop and maintain robust documentation for research projects and methodologies.
- Contribute to the intellectual property portfolio through patents and publications in top-tier conferences and journals.
- Optimize models for performance, scalability, and deployment in production environments.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of progressive research experience in deep learning and AI.
- Proven track record of publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Expertise in at least one major deep learning framework (TensorFlow, PyTorch, JAX).
- Strong programming skills in Python and experience with relevant libraries (NumPy, SciPy, Pandas).
- Experience with cloud platforms (AWS, GCP, Azure) for AI/ML workloads is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to effectively present complex technical concepts to diverse audiences.
Senior AI Research Scientist - Deep Learning
Posted 17 days ago
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Job Description
AI Research Scientist
Posted 4 days ago
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Job Description
Key Responsibilities:
- Conduct advanced research in Artificial Intelligence and Machine Learning.
- Develop and implement novel AI algorithms and models.
- Design and conduct experiments to evaluate AI model performance.
- Collaborate with research teams to achieve project milestones.
- Stay abreast of the latest advancements and trends in AI/ML.
- Contribute to scientific publications and presentations.
- Develop and maintain robust AI/ML codebases.
- Translate research findings into practical applications and prototypes.
- Mentor junior researchers and contribute to team knowledge sharing.
- Identify new research opportunities and potential areas of innovation.
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 5 years of relevant research experience.
- Strong theoretical understanding of machine learning, deep learning, and related fields.
- Proficiency in Python and major AI/ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Experience with data preprocessing, feature engineering, and model evaluation.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong publication record in top-tier AI/ML conferences and journals.
- Excellent communication and collaboration skills.
- Ability to work effectively in a hybrid work environment.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
AI Research Scientist
Posted 8 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct research and develop novel algorithms and models in areas such as machine learning, deep learning, natural language processing, or computer vision.
- Design and implement experiments to validate hypotheses and evaluate the performance of AI models.
- Analyze large datasets to extract insights and identify patterns relevant to AI development.
- Collaborate with engineering teams to deploy and integrate AI models into production systems.
- Stay current with the latest advancements in AI research and development through literature review and conference participation.
- Publish research findings in top-tier academic conferences and journals.
- Develop prototypes and proof-of-concepts for new AI applications.
- Contribute to the intellectual property portfolio through patent applications.
- Mentor junior researchers and interns.
- Present research findings to technical and non-technical audiences.
- Work closely with product teams to understand business needs and translate them into research objectives.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience in AI research, with a strong publication record in reputable venues.
- Deep understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and statistical modeling.
- Proficiency in programming languages such as Python and experience with AI frameworks like TensorFlow, PyTorch, or Keras.
- Experience with data manipulation and analysis tools.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work effectively both independently and as part of a collaborative team.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
- Familiarity with distributed computing frameworks (e.g., Spark) is beneficial.
AI Research Scientist - Machine Learning
Posted 1 day ago
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Job Description
Key responsibilities include designing and conducting research experiments, publishing findings in top-tier scientific venues, and contributing to the development of intellectual property. You will work with large datasets, explore cutting-edge ML techniques (deep learning, reinforcement learning, natural language processing, computer vision, etc.), and develop robust, scalable AI models. The ideal candidate will have a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a strong publication record and hands-on experience in implementing and evaluating AI models. Proficiency in programming languages such as Python, and familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn, are essential.
We are looking for a curious and analytical mind with exceptional problem-solving skills and the ability to think creatively and critically. This position offers a hybrid work model, fostering collaboration with team members while providing flexibility. You will contribute to groundbreaking projects, collaborate with world-class researchers and engineers, and have access to state-of-the-art computational resources. This is an unparalleled opportunity to shape the future of AI and contribute to significant technological advancements in a fast-paced, intellectually stimulating environment. Join us and be part of a team that is revolutionizing industries through intelligent systems.
Qualifications:
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- Proven research experience in Machine Learning, Deep Learning, NLP, or Computer Vision, evidenced by publications in reputable conferences/journals.
- Strong programming skills in Python and experience with ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Expertise in data analysis, model development, and algorithm design.
- Excellent analytical, critical thinking, and problem-solving abilities.
- Strong communication and interpersonal skills, with the ability to explain complex concepts clearly.
- Ability to work effectively in a hybrid research and development environment.
- Experience with large-scale data processing and distributed computing is a plus.
- Passion for staying abreast of the latest advancements in AI and ML.
AI Research Scientist - Machine Learning
Posted 13 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct cutting-edge research in machine learning and artificial intelligence.
- Design, develop, and implement novel ML algorithms and models.
- Analyze and interpret large datasets to extract meaningful insights.
- Evaluate model performance and optimize solutions for efficiency and accuracy.
- Collaborate with cross-functional teams on AI-driven projects.
- Stay current with AI/ML research trends and publications.
- Contribute to research papers, patents, and technical documentation.
- Develop prototypes and proof-of-concepts for new AI applications.
- Mentor junior researchers and engineers on ML techniques.
- Communicate research findings effectively to technical and non-technical audiences.
Qualifications:
- 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 machine learning.
- Expertise in one or more areas of ML (e.g., deep learning, NLP, CV, RL).
- Strong programming skills in Python and proficiency with ML frameworks (TensorFlow, PyTorch).
- Experience with data analysis and statistical modeling.
- Familiarity with cloud platforms and big data technologies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities for remote work.
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Principal AI Research Scientist
Posted 2 days ago
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Job Description
- Leading research in areas such as deep learning, natural language processing, computer vision, reinforcement learning, or generative AI.
- Designing and developing novel AI algorithms and models that address complex real-world problems.
- Conducting rigorous experimentation and validation of research hypotheses.
- Collaborating with product and engineering teams to translate research findings into scalable AI solutions.
- Staying abreast of the latest advancements in AI and machine learning literature and technologies.
- Publishing research in leading AI conferences and journals.
- Mentoring and guiding junior researchers and engineers.
- Defining the long-term research roadmap and strategy for AI initiatives.
- Securing internal and external funding for research projects where applicable.
- Contributing to the intellectual property portfolio through patents and publications.
- Ph.D. or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- 10+ years of hands-on experience in AI/ML research and development.
- Proven track record of impactful research contributions, evidenced by publications, patents, or successful product integrations.
- Expertise in one or more specialized AI domains (e.g., NLP, Computer Vision, Reinforcement Learning).
- Strong programming skills in Python and familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data processing and distributed computing.
- Excellent analytical, critical thinking, and problem-solving abilities.
- Exceptional communication and presentation skills, capable of articulating complex technical concepts to diverse audiences.
- Demonstrated leadership qualities and ability to mentor research teams.
Principal AI Research Scientist
Posted 7 days ago
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Job Description
You will be responsible for defining research roadmaps, conducting in-depth theoretical and empirical investigations, and publishing findings in top-tier scientific conferences and journals. This role requires a strong background in theoretical computer science, mathematics, and statistics, coupled with hands-on experience in implementing and evaluating complex AI models. You will collaborate with a world-class team of engineers, researchers, and product managers, translating research breakthroughs into practical applications. Expertise in areas such as natural language processing (NLP), computer vision, reinforcement learning, or generative models is highly desirable.
The ideal candidate will possess a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a significant publication record and a demonstrated ability to lead complex research projects. You should be proficient in programming languages such as Python and have extensive experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. We are seeking individuals who are not only technically brilliant but also possess strong leadership qualities, excellent communication skills, and a passion for tackling challenging, open-ended research problems. This remote role allows you to contribute to groundbreaking AI research from the comfort of your home, collaborating with a global team.
Responsibilities:
- Lead and conduct advanced research in artificial intelligence and machine learning.
- Develop novel algorithms and models for complex AI challenges.
- Design and implement scalable AI systems for various applications.
- Explore and evaluate new AI technologies and methodologies.
- Publish research findings in leading scientific journals and conferences.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Mentor junior researchers and engineers, providing technical guidance.
- Define research strategy and identify future research directions.
- Stay abreast of the latest advancements in AI and related fields.
- Present research concepts and results to technical and non-technical audiences.
- Contribute to building and maintaining a world-class AI research team.
- Ensure the ethical and responsible development and deployment of AI technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- 5+ years of hands-on research experience in AI/ML, with a strong publication record.
- Demonstrated expertise in at least one of the following areas: NLP, Computer Vision, Reinforcement Learning, Generative Models, Deep Learning.
- Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
- Strong mathematical and statistical background.
- Proven ability to lead research projects and drive innovation.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills.
- Experience with large-scale data processing and distributed systems is a plus.
- Ability to work independently and collaboratively in a remote setting.
Senior AI Research Scientist
Posted 10 days ago
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Job Description
We are looking for individuals with a deep understanding of machine learning principles, statistical modeling, and programming in Python. Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras is essential. A Ph.D. in Computer Science, Artificial Intelligence, or a related field is highly preferred, although exceptional candidates with a Master's degree and significant relevant experience will be considered. The successful applicant will possess strong analytical and problem-solving skills, excellent communication abilities, and the capacity to work independently and as part of a team. This is an opportunity to work on challenging problems with real-world impact and contribute to the future of AI. If you are a motivated researcher eager to make a significant contribution to the field and thrive in a collaborative environment, we encourage you to apply.
Key Responsibilities:
- Lead research initiatives in areas such as generative models, reinforcement learning, and explainable AI.
- Develop and implement novel AI algorithms and architectures.
- Conduct experimental validation and performance analysis of developed models.
- Collaborate with engineering teams to deploy AI models into production systems.
- Publish research findings in leading academic journals and conferences.
- Mentor junior researchers and contribute to the team's knowledge base.
- Stay updated with the latest research trends and identify opportunities for innovation.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- 5+ years of research experience in AI/ML, with a strong publication record.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
- Solid understanding of machine learning algorithms, statistical methods, and data structures.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills.
- Ability to work effectively in a hybrid work environment.