15,854 AI Research jobs in India

Company Description

Company Description

Brainwonders - India's Largest Career Counselling Company

450+ Education Institutes use the Brainwonders Services

80+ Corporate Connects

Winner of many numerous national and regional awards in the field of counselling and career guidance

At Brainwonders, we are proud to be India's largest career counselling and guidance company, recognized for our commitment to transforming students' futures. With 1223+ educational institutes using our services, 93+ corporate connections, and 108+ franchisees, we have built an expansive network of support for students, educators, and professionals. Brainwonders has earned numerous national and regional awards for excellence in career counselling and guidance, and is consistently rated as one of the highest-paying employers in the counselling industry by various job portals.

Job Description

We at Brainwonders are seeking a passionate and driven AI Research Freelancer to join our innovative team. The ideal candidate will contribute to research and development in artificial intelligence, assist in building and optimizing models, and support ongoing projects that push the boundaries of AI applications.

This role offers a unique opportunity to gain hands-on experience in a fast-paced environment while receiving cutting-edge AI training sponsored by the company.

Key Responsibilities:

• Design and implement machine learning algorithms to analyze brain-related data and generate predictive insights into cognitive functions.
• Collaborate with the research team in planning experiments, data collection, and analysis.
• Develop intuitive data visualization tools to communicate complex research outcomes effectively.
• Contribute to the creation of AI-driven models for personalized learning and educational assessments.
• Share research findings with the team and support the preparation of scientific publications.
• Engage in brainstorming discussions, bringing forward innovative ideas that align with the company's research vision.
• Salary: 5, ,000 INR
• Working hours: 10 am - 7 pm (Monday - Saturday)

Qualifications

• Currently pursuing or recently completed a Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Strong understanding of machine learning, deep learning, and core concepts in data structures and algorithms.
• Proficiency with Python and familiarity with frameworks such as TensorFlow, PyTorch, or similar AI/ML libraries.
• Basic knowledge of AI research methodologies, model training, and evaluation techniques.
• Strong problem-solving and analytical skills with a proactive attitude toward learning and experimentation.
• Ability to manage tasks independently while also collaborating effectively in a research-oriented team.
• Clear written and verbal communication skills for documenting processes and presenting research outcomes.

Additional Information

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AI Research Professional

Working closely with the Management Office to ideate, research, and explore opportunities for implementing AI across various departments. The role requires strong research capabilities and an open mindset to continuously learn, experiment, and identify new avenues for adapting AI in different aspects of business operations.

• Conduct cutting-edge research in areas such as deep learning, machine learning, computer vision, and natural language processing.
• Develop and implement novel AI algorithms and models to solve complex problems.
• Design and execute experiments to validate research hypotheses and measure performance.
• Analyze large datasets to extract insights and inform model development.
• Stay abreast of the latest advancements in AI and machine learning literature and conferences.
• Collaborate with engineering teams to integrate research prototypes into production systems.
• Publish research findings in top-tier academic journals and present at international conferences.
• Contribute to the intellectual property portfolio through patent applications.
• Mentor junior researchers and interns.
• Participate in defining the long-term research vision for the company.

• 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 top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
• Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong programming skills in Python and experience with scientific computing libraries.
• Solid understanding of machine learning theory, algorithms, and statistical modeling.
• Experience with large-scale data processing and distributed computing.
• Excellent analytical, critical thinking, and problem-solving skills.
• Ability to work independently and collaboratively in a hybrid team environment.
• Strong communication and presentation skills.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven track record of research and publications in reputable AI/ML venues.
• Strong theoretical foundation in machine learning, deep learning, and statistics.
• Proficiency in programming languages such as Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with large-scale data processing and distributed computing.
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork abilities.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

• 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.

• Conduct cutting-edge research in Deep Learning, Machine Learning, and Artificial Intelligence.
• Develop and implement novel algorithms and models for various AI applications (e.g., computer vision, NLP, recommender systems).
• Design and execute experiments to evaluate model performance and identify areas for improvement.
• Collaborate with software engineers to deploy AI models into production systems.
• Analyze large datasets to extract insights and inform model development.
• Stay abreast of the latest research papers, industry trends, and advancements in AI.
• Publish research findings in top-tier conferences and journals.
• Mentor junior researchers and engineers in AI/ML best practices.
• Develop proof-of-concepts and prototypes to demonstrate the feasibility of new AI technologies.
• Contribute to the overall AI strategy and roadmap of the organization.
• Work closely with product management to understand business needs and translate them into AI research problems.
• Ensure the ethical and responsible development and deployment of AI systems.
• Evaluate and select appropriate frameworks and tools for AI development (e.g., TensorFlow, PyTorch).
• Participate in cross-functional team meetings and provide technical expertise.
• Present research findings to technical and non-technical audiences.

• 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 Deep Learning.
• Strong theoretical and practical understanding of machine learning algorithms and statistical modeling.
• Proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Experience with data analysis, data preprocessing, and feature engineering.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong publication record in reputable AI conferences or journals is a significant advantage.
• Excellent communication and collaboration skills.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
• Ability to work effectively in a hybrid work environment.

• Conduct original research in deep learning, machine learning, computer vision, natural language processing, or related AI fields.
• Develop and implement novel AI algorithms and models, pushing the boundaries of current technology.
• Design and execute experiments to validate research hypotheses and evaluate model performance.
• Collaborate with a team of researchers and engineers to bring AI innovations from concept to prototype.
• Analyze and interpret complex data to inform research directions and model improvements.
• Publish research findings in top-tier academic conferences and journals.
• Stay abreast of the latest advancements and trends in AI and machine learning research globally.
• Contribute to patent applications and intellectual property development.
• Develop robust and scalable AI systems for various applications.
• Mentor junior researchers and contribute to a culture of innovation and learning.
• Present research progress and findings to internal teams and external stakeholders.
• Explore and integrate new tools and frameworks to enhance research capabilities.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related field.
• Minimum of 5 years of hands-on research experience in AI and deep learning, evidenced by publications and project contributions.
• Strong theoretical understanding and practical experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in programming languages like Python, C++, or Java.
• Experience with various machine learning techniques and algorithms.
• Demonstrated ability to conduct independent research and contribute to team-based projects.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to articulate complex research ideas.
• Experience in areas like computer vision, NLP, reinforcement learning, or generative models is highly desirable.
• Ability to work effectively in a hybrid work environment, balancing remote research with in-office collaboration.

• Conduct cutting-edge research in deep learning, natural language processing, computer vision, or reinforcement learning.
• Develop novel AI algorithms and architectures to solve challenging scientific and business problems.
• Implement, train, and evaluate deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
• Collaborate with engineers to integrate research prototypes into production systems.
• Stay abreast of the latest advancements in AI and machine learning research.
• Publish research findings in top-tier conferences and journals.
• Design and execute experiments to validate hypotheses and measure model performance.
• Mentor junior researchers and contribute to the team's knowledge sharing.
• Contribute to the development of intellectual property and patents.
• Analyze large datasets to extract insights and identify opportunities for AI applications.

• 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, evidenced by publications or significant project work.
• Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, Pandas).
• Hands-on experience with major deep learning frameworks (TensorFlow, PyTorch).
• Deep understanding of various neural network architectures (CNNs, RNNs, Transformers, GANs).
• Experience with cloud computing platforms (AWS, Azure, GCP) and distributed training is a plus.
• Excellent analytical and problem-solving abilities.
• Strong communication and collaboration skills, with the ability to present complex technical concepts effectively.
• Ability to work effectively in a hybrid environment, balancing remote and in-office collaboration.