13,663 AI Research jobs in India
AI Research & Development Engineer
Posted today
Job Viewed
Job Description
Who You Are
You're an ML Research Engineer with 2+ years of experience who bridges the gap between
cutting-edge research and production systems. You're passionate about training models that
perform exceptionally well not just on benchmarks but in real-world applications. You enjoy
diving deep into model architectures, experimenting with training techniques, and building
robust evaluation frameworks that ensure model reliability in critical applications.
Responsibilities
● Train and fine-tune models for speech recognition and natural language processing in
multilingual healthcare contexts
● Develop specialized models through fine-tuning and optimization techniques for
domain-specific tasks
● Design and implement comprehensive evaluation frameworks to measure model
performance across critical metrics
● Build data pipelines for collecting, annotating, and augmenting training datasets
● Research and implement state-of-the-art techniques from academic papers to improve
model performance
● Collaborate with AI engineers to deploy optimized models into production systems
● Create synthetic data generation pipelines to address data scarcity challenges
Qualifications
Required
● 2+ years of experience in ML/DL with focus on training and fine-tuning production
models
● Deep expertise in speech recognition systems (ASR) or natural language processing
(NLP), including transformer architectures
● Proven experience with model training frameworks (PyTorch, TensorFlow) and
distributed training
● Strong understanding of evaluation metrics and ability to design domain-specific
benchmarks
● Experience with modern speech models (Whisper, Wav2Vec2, Conformer) or LLM
fine-tuning techniques (LoRA, QLoRA, full fine-tuning)
● Proficiency in handling multilingual datasets and cross-lingual transfer learning
● Track record of improving model performance through data engineering and
augmentation strategies
Nice to Have
● Published research or significant contributions to open-source ML projects
● Experience with model optimization techniques (quantization, distillation, pruning)
● Background in low-resource language modeling
● Experience building evaluation frameworks for production ML systems
AI Research Scientist - Deep Learning
Posted today
Job Viewed
Job Description
AI Research Scientist - Deep Learning
Posted today
Job Viewed
Job Description
AI Research Scientist (Deep Learning)
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct fundamental and applied research in deep learning and artificial intelligence.
- Design, implement, and evaluate novel deep learning models and algorithms.
- Experiment with various neural network architectures and training techniques.
- Optimize model performance for accuracy, efficiency, and scalability.
- Process and analyze large-scale datasets for model training and validation.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI and machine learning research.
- Publish research findings in leading academic journals and conferences.
- Contribute to the intellectual property and patent portfolio.
- Mentor junior researchers and interns.
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, CVPR).
- Deep understanding of machine learning, deep learning, and statistical modeling.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
- Experience with large-scale data processing and distributed computing.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong programming skills and software development practices.
- Effective communication and presentation skills for conveying complex research ideas.
AI Research Scientist - Deep Learning
Posted 3 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct original research in deep learning, machine learning, and related AI fields.
- Develop, implement, and evaluate novel deep learning architectures and algorithms for various applications (e.g., computer vision, natural language processing, reinforcement learning).
- Design and execute experiments to test hypotheses and validate models.
- Publish research findings in top-tier academic conferences and journals.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI and machine learning research globally.
- Mentor junior researchers and interns, providing guidance and technical leadership.
- Contribute to the intellectual property portfolio through patents and publications.
- Analyze large datasets to extract insights and identify patterns relevant to AI model development.
- Develop efficient training methodologies and optimize model performance for scalability and speed.
- Present research findings and project updates to technical and non-technical audiences.
- Contribute to defining the long-term research vision and strategy for the AI team.
- Ensure ethical considerations and responsible AI practices are integrated into research and development.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Strong publication record in leading AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Deep understanding of fundamental deep learning concepts, neural network architectures (CNNs, RNNs, Transformers), and optimization techniques.
- Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, Keras.
- Experience with large-scale data processing and distributed computing frameworks.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a fast-paced research environment.
- Experience with cloud platforms (AWS, GCP, Azure) for AI workloads is a plus.
- Demonstrated ability to conduct cutting-edge research and deliver impactful results.
AI Research Scientist - Deep Learning
Posted 5 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct research and development in deep learning, machine learning, and related AI fields.
- Design, implement, and evaluate novel deep learning models and algorithms.
- Experiment with various neural network architectures, training techniques, and optimization strategies.
- Process and analyze large datasets to extract meaningful insights and inform model development.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Stay abreast of the latest research trends and advancements in AI and deep learning.
- Publish research findings in reputable conferences and journals.
- Develop and maintain robust, well-documented code for AI models and experiments.
- Contribute to the strategic direction of the AI research group.
- Mentor junior researchers and contribute to knowledge sharing within the team.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research and publication in top-tier AI conferences and journals.
- Strong theoretical understanding of deep learning concepts (e.g., CNNs, RNNs, Transformers).
- Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with cloud computing platforms (AWS, GCP, Azure) and MLOps.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills for a remote team environment.
AI Research Scientist (Deep Learning)
Posted 5 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct cutting-edge research in deep learning, exploring new methodologies, architectures, and applications.
- Design, develop, and implement novel deep learning models for various AI tasks (e.g., computer vision, natural language processing, reinforcement learning).
- Formulate research hypotheses, design experiments, and conduct rigorous analysis to validate findings.
- Implement and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
- Analyze and interpret experimental results, drawing meaningful conclusions and identifying areas for improvement.
- Publish research findings in leading AI conferences and journals.
- Collaborate effectively with cross-functional teams, including other researchers, engineers, and product managers.
- Contribute to the intellectual property and patent portfolio of the organization.
- Stay at the forefront of AI research by continuously reading literature and attending conferences.
- Mentor junior researchers and interns, sharing knowledge and expertise.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
- Proven track record of research excellence, evidenced by publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Extensive hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python.
- Deep understanding of fundamental machine learning concepts and advanced deep learning techniques.
- Experience with various AI research areas (e.g., CNNs, RNNs, Transformers, GANs, reinforcement learning).
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong written and verbal communication skills.
- Ability to work independently and collaboratively in a remote research environment.
- Passion for advancing the field of artificial intelligence.
Be The First To Know
About the latest Ai research Jobs in India !
AI Research Scientist - Deep Learning
Posted 5 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct research in deep learning, machine learning, and artificial intelligence.
- Develop and implement novel deep learning models and algorithms.
- Design and execute experiments to validate research hypotheses.
- Analyze complex datasets and interpret research findings.
- Collaborate with engineering teams to integrate research models into products.
- Publish research findings in leading academic venues.
- Stay abreast of the latest advancements in AI and deep learning.
- Mentor junior researchers and contribute to the research community.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- 5+ years of experience in AI research, with a focus on deep learning.
- Proven experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong background in mathematics, statistics, and algorithms.
- Excellent programming skills in Python or similar languages.
- Demonstrated success in publishing research papers.
- Strong analytical and problem-solving skills.
- Effective communication and collaboration abilities.
AI Research Scientist - Deep Learning
Posted 5 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct research and development in areas such as natural language processing, computer vision, reinforcement learning, or generative models.
- Design, implement, and evaluate novel deep learning architectures and algorithms.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI and machine learning literature and conferences.
- Publish research findings in top-tier academic venues and present work internally and externally.
- Develop and maintain code for machine learning models using Python and relevant libraries (TensorFlow, PyTorch).
- Analyze large datasets to identify patterns and insights for model improvement.
- Mentor junior researchers and engineers.
- Contribute to the strategic direction of AI research within the organization.
- Ensure reproducibility of research results and maintain high scientific standards.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research contributions in deep learning, demonstrated through publications in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python, with proficiency in numerical computing libraries (NumPy, SciPy).
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Solid understanding of machine learning theory, algorithms, and best practices.
- Excellent analytical and problem-solving skills.
- Ability to work effectively in a collaborative research environment.
- Strong written and verbal communication skills.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
This hybrid position allows for a dynamic work environment in **Hyderabad, Telangana**, offering opportunities for both focused individual work and collaborative team sessions. Join a team that is shaping the future of AI and making a significant impact. Our client values innovation, collaboration, and continuous learning.
AI Research Scientist - Deep Learning
Posted 6 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct cutting-edge research in deep learning, machine learning, and artificial intelligence.
- Design, develop, and implement novel deep learning models and algorithms.
- Experiment with various neural network architectures and training techniques.
- Analyze large datasets to extract insights and identify patterns for model development.
- Collaborate with cross-functional teams of engineers, product managers, and other researchers.
- Stay abreast of the latest advancements and research trends in AI and deep learning.
- Publish research findings in top-tier conferences and journals.
- Develop and deploy AI models into production environments.
- Evaluate and benchmark model performance, identifying areas for improvement.
- Contribute to the development of AI strategies and roadmaps.
- Mentor junior researchers and engineers.
- Present research findings and technical concepts to both technical and non-technical audiences.
- Write clear, concise, and well-documented code.
- Participate in remote research discussions, code reviews, and project planning sessions.
- Foster a culture of innovation and scientific rigor within the remote team.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research and publications in deep learning or related areas.
- Strong theoretical understanding and practical experience with various deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Proficiency in programming languages such as Python, and experience with libraries like NumPy, SciPy, Pandas.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) for AI/ML workloads.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Ability to work independently, manage research projects, and meet deadlines.
- Experience with natural language processing (NLP), computer vision, or reinforcement learning is a plus.