470 Natural Language Processing jobs in Chennai

• Conducting cutting-edge research in Natural Language Processing, including areas like sentiment analysis, machine translation, text generation, and information extraction.
• Designing, developing, and implementing novel NLP algorithms and deep learning models.
• Building and optimizing large-scale NLP systems and pipelines.
• Evaluating and improving the performance of AI models using state-of-the-art metrics.
• Collaborating with product managers and software engineers to integrate AI capabilities into applications.
• Publishing research findings in leading AI conferences (e.g., NeurIPS, ICML, ACL, EMNLP) and journals.
• Mentoring junior AI engineers and contributing to the team's technical growth.
• Staying current with the latest advancements in AI, machine learning, and NLP research.
• Contributing to the company's intellectual property through patents and publications.
• Developing prototypes and proof-of-concepts for new AI applications.
• Working with large datasets and ensuring data quality for model training.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
• Minimum of 6-8 years of relevant research and development experience in NLP.
• Strong publication record in top-tier AI/NLP conferences and journals.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in programming languages like Python, and relevant libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
• Deep understanding of NLP techniques, algorithms, and their applications.
• Experience with cloud platforms (AWS, GCP, Azure) and big data technologies is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
• Proven ability to work independently and lead research initiatives in a remote setting.

About the Team:

ZF COE Team is effectively communicate complex technical concepts related to AI, ML, DL, and RL to both technical and non-technical audiences. This might involve presenting research findings at conferences or writing papers for academic journals.

What you can look forward to as AI Research Scientist (m/f/d):

Conduct cutting-edge research to identify and develop novel AI/ML methodologies, including Deep Learning (DL) and Reinforcement Learning (RL).

Design and conduct experiments to test hypotheses, validate new approaches, and compare the effectiveness of different ML algorithms.

Analyze data to uncover hidden patterns and relationships that can inform the development of new AI techniques.

Stay at the forefront of the field by keeping abreast of the latest advancements in algorithms, tools, and theoretical frameworks. This might involve researching areas like interpretability of machine learning models or efficient training methods for deep neural networks.

Prototype and explore the potential of advanced machine learning models, including deep learning architectures like convolutional neural networks (CNNs) or recurrent neural networks (RNNs).

Contribute to the development of fundamental algorithms and frameworks that can be applied to various machine learning problems. This may involve improving existing algorithms or exploring entirely new approaches.

Focus on theoretical aspects of model design, such as improving model efficiency, reducing bias, or achieving explainability in complex models.

Document research methodologies, experimental procedures, and theoretical contributions for future reference and knowledge sharing within the research community.

Contribute to the development of the research team''s long-term research goals and strategies.

Your profile as AI Research Scientist (m/f/d):

Master''s degree in Mathematics, Computer Science or other related technical fields. Phd is good to have.

8+ years of experience in research development, with a strong understanding of data structures and algorithms.

5+ years of experience building and deploying machine learning models in production.

Proven experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.

Experience with distributed computing systems and large-scale data processing & Excellent communication and collaboration skills.

Contribution to invention disclosure process & A strong publication record in top machine learning conferences or journals.

• Lead and conduct advanced research in machine learning and artificial intelligence.
• Develop and implement novel AI algorithms and models.
• Mentor and guide junior research scientists and engineers.
• Collaborate with product teams to integrate AI solutions into new and existing products.
• Publish research findings in leading academic journals and conferences.
• Stay current with the latest research and technological advancements in AI/ML.
• Design and execute experiments to validate research hypotheses.
• Contribute to the development of intellectual property and patents.
• Present research findings to technical and non-technical audiences.
• Foster a culture of innovation and scientific excellence within the remote team.

• Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
• 5+ years of research experience in AI/ML, with a focus on one or more subfields (NLP, computer vision, reinforcement learning, etc.).
• Demonstrated success in developing and deploying machine learning models.
• Proficiency in programming languages like Python and ML frameworks (TensorFlow, PyTorch).
• Strong publication record in top-tier conferences/journals.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to work independently and lead research projects in a remote setting.
• Exceptional communication and collaboration skills.

• Lead the research and development of novel machine learning algorithms and models.
• Design and execute research experiments to test hypotheses and validate models.
• Mentor and guide a team of AI/ML researchers and engineers.
• Collaborate with product teams to translate research findings into deployable AI solutions.
• Publish research findings in top-tier AI conferences and journals.
• Stay at the forefront of AI and ML advancements, identifying emerging trends and opportunities.
• Develop and maintain scalable ML infrastructure and pipelines.
• Contribute to the strategic direction of the AI research roadmap.
• Present research findings and technical insights to stakeholders at various levels.
• Foster a collaborative and innovative research environment within the remote team.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a closely related field.
• Minimum of 7 years of post-Ph.D. research experience in machine learning, deep learning, or related AI fields.
• Demonstrated experience in leading research projects and mentoring junior scientists.
• Strong publication record in leading AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) and journals.
• Expertise in one or more of the following areas: deep learning, reinforcement learning, natural language processing, computer vision, probabilistic modeling.
• Proficiency in programming languages such as Python, and ML frameworks like TensorFlow, PyTorch, Scikit-learn.
• Experience with large-scale data processing and distributed computing.
• Excellent analytical, problem-solving, and algorithmic thinking skills.
• Outstanding written and verbal communication skills, with the ability to articulate complex technical concepts clearly.
• Proven ability to work independently and collaboratively in a remote, fast-paced research environment.

• Designing, implementing, and evaluating cutting-edge machine learning models for various applications such as natural language processing, computer vision, and predictive analytics.
• Collaborating with cross-functional teams including software engineers, data scientists, and product managers to translate research findings into scalable and deployable AI systems.
• Staying abreast of the latest advancements in AI and machine learning, identifying opportunities for innovation, and proposing new research directions.
• Conducting rigorous experimentation, analyzing results, and communicating findings effectively through technical reports, presentations, and publications.
• Mentoring junior researchers and contributing to the growth of our AI talent pool.
• Ensuring ethical considerations and responsible AI development practices are integrated into all research projects.

• 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 AI/ML, evidenced by publications in top-tier conferences and journals.
• Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, etc.
• Experience with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks.
• Excellent problem-solving skills, creativity, and the ability to work independently and in a team environment.
• Exceptional communication and interpersonal skills.

• Conduct advanced research in machine learning, deep learning, and artificial intelligence.
• Design, develop, and implement novel ML algorithms and models for diverse applications.
• Experiment with various AI techniques including NLP, computer vision, and reinforcement learning.
• Collaborate with cross-functional teams to integrate AI solutions into products and services.
• Analyze large datasets, extract insights, and build predictive models.
• Stay updated with the latest research papers, trends, and technologies in AI/ML.
• Publish research findings in leading conferences and journals where appropriate.
• Develop and maintain code for ML models and experiments using Python and relevant frameworks.
• Contribute to the intellectual property and innovation pipeline of the company.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• Proven track record of research and development in AI/ML, demonstrated through publications or significant projects.
• Expertise in programming languages such as Python, and proficiency with ML libraries/frameworks (TensorFlow, PyTorch, scikit-learn, Keras).
• Deep understanding of statistical modeling, data mining, and machine learning algorithms.
• Experience with big data technologies and cloud platforms (AWS, Azure, GCP) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, capable of explaining complex technical concepts.
• Ability to work effectively in a team and independently in a **Hybrid** work setting.