9,410 Language Models jobs in India
Lead AI/ML Engineer - NLP & Large Language Models
Posted 4 days ago
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Job Description
In this role, you will be instrumental in designing, developing, and deploying advanced NLP models that understand, generate, and process human language. You will lead a team of talented engineers and researchers, fostering a culture of technical excellence and rapid iteration. Your work will involve leveraging cutting-edge LLMs, fine-tuning them for specific tasks, and building robust, scalable AI systems.
Key Responsibilities:
- Lead the design, development, and deployment of production-grade NLP and LLM-based systems.
- Architect scalable machine learning pipelines for training, evaluating, and serving NLP models.
- Fine-tune and adapt pre-trained LLMs (e.g., GPT, BERT, Llama) for various downstream tasks such as text summarization, sentiment analysis, question answering, and content generation.
- Develop custom NLP models and algorithms when off-the-shelf solutions are insufficient.
- Collaborate closely with product management and engineering teams to translate business requirements into technical solutions.
- Mentor and guide junior AI/ML engineers, providing technical leadership and fostering their professional growth.
- Conduct thorough research into new NLP techniques, LLM architectures, and emerging trends to maintain our competitive edge.
- Implement and optimize model serving infrastructure for low latency and high throughput.
- Ensure the ethical use of AI and NLP technologies, addressing potential biases and fairness issues.
- Contribute to code reviews, system design discussions, and the overall technical roadmap of the AI team.
- Build robust data processing and feature engineering pipelines for NLP tasks.
- Stay updated with the latest advancements in the field and proactively propose new ideas and improvements.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
- Extensive experience (5+ years) in developing and deploying NLP models in production environments.
- Deep understanding of NLP concepts, including text preprocessing, tokenization, embeddings, sequence models, and attention mechanisms.
- Proven experience with state-of-the-art LLMs and frameworks like Hugging Face Transformers, TensorFlow, or PyTorch.
- Strong proficiency in Python and relevant libraries (e.g., spaCy, NLTK, scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and ML operations (MLOps).
- Excellent leadership, communication, and interpersonal skills.
- Ability to work independently and drive projects to completion in a remote setting.
- Experience with distributed computing frameworks like Spark is a plus.
- Published research in NLP conferences (ACL, EMNLP, NAACL) is highly desirable.
Deep Learning
Posted today
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Job Description
• Experience leading engineering teams from the first concept to ship
• Expert knowledge of deep learning techniques such as CNN, RNN, LSTM, and GAN
• World recognized expert knowledge and strong leadership experience in Deep Learning with an extensive publication record in peer-reviewed conferences and specialization in at least one of the following domains:
o Applications of deep learning techniques to traditional 3D computer vision topics such as Simultaneous Localization and Mapping (SLAM), Dense mapping, Eye tracking.
o Semantics and scene understanding.
o Scene segmentation.
o Object Detection and tracking.
o Hand tracking.
o Person tracking.
o Multi-task learning.
• Knowledge software optimization and embedded programming is a plus
Deep Learning
Posted today
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Job Description
• Experience leading engineering teams from the first concept to ship
• Expert knowledge of deep learning techniques such as CNN, RNN, LSTM, and GAN
• World recognized expert knowledge and strong leadership experience in Deep Learning with an extensive publication record in peer-reviewed conferences and specialization in at least one of the following domains:
o Applications of deep learning techniques to traditional 3D computer vision topics such as Simultaneous Localization and Mapping (SLAM), Dense mapping, Eye tracking.
o Semantics and scene understanding.
o Scene segmentation.
o Object Detection and tracking.
o Hand tracking.
o Person tracking.
o Multi-task learning.
• Knowledge software optimization and embedded programming is a plus
Deep Learning
Posted today
Job Viewed
Job Description
• Experience leading engineering teams from the first concept to ship
• Expert knowledge of deep learning techniques such as CNN, RNN, LSTM, and GAN
• World recognized expert knowledge and strong leadership experience in Deep Learning with an extensive publication record in peer-reviewed conferences and specialization in at least one of the following domains:
o Applications of deep learning techniques to traditional 3D computer vision topics such as Simultaneous Localization and Mapping (SLAM), Dense mapping, Eye tracking.
o Semantics and scene understanding.
o Scene segmentation.
o Object Detection and tracking.
o Hand tracking.
o Person tracking.
o Multi-task learning.
• Knowledge software optimization and embedded programming is a plus
Deep Learning
Posted today
Job Viewed
Job Description
• Experience leading engineering teams from the first concept to ship
• Expert knowledge of deep learning techniques such as CNN, RNN, LSTM, and GAN
• World recognized expert knowledge and strong leadership experience in Deep Learning with an extensive publication record in peer-reviewed conferences and specialization in at least one of the following domains:
o Applications of deep learning techniques to traditional 3D computer vision topics such as Simultaneous Localization and Mapping (SLAM), Dense mapping, Eye tracking.
o Semantics and scene understanding.
o Scene segmentation.
o Object Detection and tracking.
o Hand tracking.
o Person tracking.
o Multi-task learning.
• Knowledge software optimization and embedded programming is a plus
Machine Learning/Deep Learning
Posted today
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Job Description
• Responsibilities Select appropriate datasets and data representation
• methods Data mining using state-of-the-art techniques
• Create and maintain optimal data pipeline architecture Assemble large, complex data sets
• That meet functional / non-functional business requirements
• Design and developing machine learning systems Implement appropriate ML algorithms to create and deploy AI models into production
Deep Learning Engineer
Posted 11 days ago
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Job Description
About Us
Posha builds cooking robots that live inside your kitchen and cook food for you completely autonomously. Posha robots use Artificial Intelligence enabled Computer Vision to consistently and reliably cook the best food for our users
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Deep Learning Engineer
Posted 24 days ago
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Job description
A job where you increase the depth of your expertise in computer vision.
A job where you learn and implement the SOTA papers.
A job where you write vectorized code that runs in seconds, not in minutes.
A job where models learn to see and understand the world around them.
A job where models run real-time because you optimize every byte.
A job where you keep the career promises that you made to yourself.
A job where you keep the learning promises that you made to yourself.
If this scares you, don't read. If this excites you, we might love you.
We are looking for a passionate Machine Learning Engineer to join our team. The ideal candidate will be an enthusiastic developer with 3-5 years of experience in the field of Computer Vision and Artificial Intelligence. If building things and writing code excite you, this is the startup you belong.
Key Technologies:
- Must be an expert in Python and Numpy.
- Experience with Tensorflow/Keras/Pytorch is required.
- Unsatiable hunger for writing beautiful code.
- Knowledge of python design-patterns.
- Some experience with C++ is preferred.
- Knowledge working closely with version control (GIT).
- Excellent communication skills and being able to work independently.
- Strong problem-solving and coding skills override everything else written above.
About AIMonk:
Run by IIT Kanpur alumni, AIMonk is a deep tech startup. We build beautiful and scalable software using computer vision and deep learning. We pride ourselves in solving problems nobody else can in the space.
Deep Learning Engineer
Posted today
Job Viewed
Job Description
About Us
Posha builds cooking robots that live inside your kitchen and cook food for you completely autonomously. Posha robots use Artificial Intelligence enabled Computer Vision to consistently and reliably cook the best food for our users
See It In Action
Posha is a fast-growing Series-A funded startup backed by Tier-1 VCs including Accel Partners, Waterbridge Ventures.
What can I expect from this role?
Posha is one of the rare startups building cutting-edge deep tech consumer robotic products from India for the world. Our product sits at the intersection of AI, Software, Food and Design.
Posha is building autonomous cooking from ground up and you will play a major role in it.
What will my work responsibilities look like if I join Posha?
In this role - you would:
- Solve real-world perception problems for cooking using deep learning (e.g., regression, segmentation, classification, object detection)
- Train, evaluate, and production-ize transformer-based vision models to identify type/shape/size of ingredient, track visual changes in color, texture of food as it cooks.
- Own the end-end pipeline for ML capabilities – idea to dataset collection to building prototype to production.
- If you’re familiar with language models, you'll also have opportunities to work on fine-tuning LLMs on our use-cases, and retrieval-augmented generation (RAG) customizing recipes in real-time
What makes you a match for us?
- Graduates from IITs/ NITs/IISC with 1-3 years of industry experience
- Solid in math and ML fundamentals — not just using pre-trained models or scikit-learn.
- Comfortable in an ambiguous, fast-paced, high-ownership startup setup
- Always curious, always building, and not afraid to experiment
- Strong fundamentals in Deep Learning — CNNs, RNNs, transformers, optimisation, generalisation, etc.
- Experience working with PyTorch to train and debug deep models.
Working at Posha
- Twitter love from users
- How does Posha work
- Our Website
- Read Our Story
Why Posha?
- No other organization offers challenges similar to ours. Building completely autonomous cooking robots requires thinking from first principles and building from ground up.
- We believe that Posha is a generational company with the opportunity to alter the trajectory of how food is cooked inside homes today. This opportunity is parallel to how autonomous cars have made an impact.
- This role will be at the forefront of this opportunity.