83 Transformer Models Jobs - Page 4

As a research scientist at AryaXAI, you will be part of a team that is revolutionizing the field of AI with a focus on building explainable, safe, and aligned systems at scale. Our mission is to empower researchers, engineers, and organizations to leverage AI effectively while prioritizing transparency and safety. Our team is driven by a shared passion for innovation, collaboration, and excellence. In our flat organizational structure, everyone contributes actively to our mission, valuing curiosity, initiative, and outstanding performance. In this role, you will tackle advanced challenges in ML explainability, safety, and alignment. You will have the flexibility to specialize in specific are...

Chennai, India Role Overview We are looking for an exceptional ML Engineer who can help us to provide a great user experience while we wow our users with the power of AI for advanced document understanding. Strong working knowledge of using Python is critical for this position. This is an exciting opportunity to work closely with our platform team and help drive our technology forward bridging the gap between research & engineering in the field of machine comprehension. If you want to realign your career towards Machine Learning/Artificial Intelligence, look no further. This position offers an opportunity to work closely with best of minds in this field and to learn the tricks by doing amazi...

Job Title: Senior AI Engineer LLM Infrastructure & Tooling Location: Remote / Hybrid / Onsite (as applicable) Experience: 7+ Years in Software Engineering | 1+ Year with LLMs in Production Key Responsibilities: Build core AI components (frontend & backend) including observability and feedback tools. Develop and optimize LLM-powered APIs , vector search tools, and orchestration workflows. Monitor performance, reliability, and safety of AI agents and design improvement feedback loops. Identify gaps in tooling and standardize best practices for deploying and maintaining AI services. Collaborate with product, infrastructure, and data teams to ensure reusability and scalability of AI solutions. S...

Min 1-3 yrs of exp in data science,NLP&Python Exp in PyTorch,Scikit-learn,and NLP libraries(NLTK,SpaCy,Hugging Face) Help deploy AI/ML solutions on AWS,GCP/Azure Exp in SQL for data manipulation & analysis Exp in Big Data processing Spark,Pandas,Dask

Technical Skills Experience: Programming Languages: Proficiency in Python for AI/ML model development.. Machine Learning Deep Learning: Hands-on experience with TensorFlow and PyTorch for model training and deployment. Data Science Analytics: Strong knowledge of scikit-learn, NumPy, and pandas for data processing and manipulation. Natural Language Processing (NLP): Expertise in text preprocessing, tokenization, embeddings, and NLP techniques. Large Language Models (LLMs): Experience with transformer models like GPT, BERT, T5, and LLaMA, including fine-tuning and prompt engineering. Retrieval-AugmentedGeneration (RAG): Knowledge of RAG pipelines and experience with vector databases such as FA...

Job Summary: We are seeking a passionate and skilled AI Engineer to design, develop, and deploy cutting-edge AI solutions across domains such as large language models (LLMs), computer vision, and autonomous agent workflows. You will collaborate with data scientists, researchers, and engineering teams to build intelligent systems that solve real-world problems using deep learning, transformer-based architectures, and multi-modal AI models. Key Responsibilities: Design and implement AI/ML models, especially transformer-based LLMs (e.g., BERT, GPT, LLaMA) and vision models (e.g., ViT, YOLO, Detectron2). Develop and deploy computer vision pipelines for object detection, segmentation, OCR, and im...

Roles and Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation. Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs. Implement, fine-tune, and scale generative AI models in production environments, ensuring ...

Role & Responsibilities: Lead end-to-end development of AI-powered solutions across Computer Vision, NLP, and predictive modeling. Architect and implement scalable AI services and integrate them using REST APIs and microservices. Drive MLOps best practices and manage CI/CD pipelines using tools like MLflow, Kubeflow, and Docker. Fine-tune large language models and build NLP applications such as document intelligence, text summarization, semantic search, and QA systems. Mentor a team of engineers and collaborate with product managers to define the AI roadmap. Conduct regular code reviews and ensure the delivery of high-quality, production-ready AI systems. Preferred Candidate Profile: 5+ year...