128 Transformer Models Jobs - Page 2

Job Application Link: https://app.fabrichq.ai/jobs/f61b80fb-a1de-4147-a985-e333b90393ff Job Summary: The Principal AI Engineer will lead Generative AI vision, strategy, and architecture. They will architect, build, and improve GenAI applications, automate ML pipelines, and establish reusable frameworks. The role involves building guardrails, compliance rules, and promoting good software engineering practices across the team. Key Responsibilities Drive Generative AI vision, strategy, and architecture Architect, build, maintain, and improve GenAI applications and underlying systems Automate machine learning pipelines, monitor performance and costs Optimize models using techniques such as LoRA/...

As a Research Scientist at AryaXAI, you will have the unique opportunity to work on cutting-edge AI technology, contributing to the development of explainable, safe, and aligned systems that scale responsibly. Your role will involve tackling advanced problems related to AI explainability, safety, and alignment, pushing the frontiers of AI technologies in a collaborative and innovative environment. Key Responsibilities: - Work on advanced problems related to AI explainability, AI safety, and AI alignment. - Have flexibility in choosing specialization areas within ML/DL to address the above challenges. - Create new techniques around ML Observability & Alignment. - Collaborate with MLEs and SDE...

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description : Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 12 - 14 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you...

As a Data Scientist, you will play a crucial role in developing and implementing advanced machine learning and deep learning models including LLMs. The ideal candidate will have a minimum of 3 years of hands-on experience in machine learning, with a strong focus on deep learning techniques. A background in computer science and a passion for creating intelligent solutions that have a real-world impact are essential. Responsibilities: Implement and deploy machine learning and deep learning models to solve complex business challenges. Conduct exploratory data analysis and feature engineering to extract meaningful insights from large structured & unstructured datasets. Evaluate and fine-tune dee...

About Us At Xenvolt, we help enterprises navigate the growing complexity of governance. Today's organizations deal with fragmented data, unclear decision-making, and compliance systems that react only after problems occur. This slows innovation and increases risk. We're changing that. By building a predictive, transparent, and adaptive governance framework, we enable organizations to move from reactive to proactive. Using AI-powered insights and real-time monitoring, we help teams anticipate risks, ensure compliance, and operate with confidence driving smarter decisions, stronger accountability, and sustainable growth. Role Overview We are seeking a skilled AI Engineer to design, build, and ...

We are seeking a highly experienced GenAI Lead with 7- 12 years of total experience, including strong hands-on expertise in Generative AI solution development, LLM integration, prompt engineering, and end-to-end AI project delivery. The ideal candidate will lead the design, development, and deployment of GenAI -driven systems across multiple business domains, including automation, content generation, knowledge engineering, and intelligent agentic workflows. The role involves architecting LLM pipelines, evaluating open-source and commercial models, fine-tuning, embedding generation, vector databases, and building scalable production-grade AI solutions. You will collaborate with cross-function...

Role Overview: As a Senior AI Engineer (Tech Lead) at EY, you will be a crucial part of the team, utilizing your expertise in Data Science and Machine Learning to design and implement cutting-edge AI solutions. With a minimum of 4 years of experience, preferably in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture, you will play a key role in the development and implementation of AI solutions. Your deep understanding of AI technologies will be instrumental in creating innovative AI models and systems. Additionally, your proficiency in data engineering, DevOps, and MLOps practices will be highly valued in this role. Responsibilities: - Contribute to the de...

We are looking for a skilled and hands-on Data Scientist with 5+ years of experience in developing and deploying machine learning modelsranging from traditional ML algorithms to advanced deep learning and Generative AI systems. The ideal candidate brings a strong foundation in classification, anomaly detection, and time-series modeling, along with hands-on experience in deploying and optimizing Transformer-based models . Familiarity with quantization , fine-tuning , and RAG (Retrieval-Augmented Generation) is highly desirable. Responsibilities Design, train, and evaluate ML models for tasks such as classification, anomaly detection, forecasting, and natural language understanding. Build and ...

Job Application links: For Sr. AI/ML Engineer: https://app.fabrichq.ai/jobs/16bac513-b51a-48e3-8291-7fa36c3c8bbd For Lead AI/ML Engineer: https://app.fabrichq.ai/jobs/2038ab65-2dc1-4573-8305-17df6bce4202 Job Summary: Fission Labs is hiring Senior and Lead AI/ML Engineers to design, build, fine-tune, and deploy advanced Generative AI and Large Language Model (LLM) solutions. This role involves working with complex datasets, transformer architectures, MLOps pipelines, and deploying production-grade AI systems that solve high-impact business problems. If you have strong experience in generative AI, deep learning, LLMs, HuggingFace, PyTorch , and want to work on real-world applied AI this is the...

As a Specialist in Software Development (Artificial Intelligence), you will lead the design, development, and implementation of AI and machine learning solutions to tackle complex business challenges. Your expertise in AI algorithms, model development, and software engineering best practices will be crucial in working closely with cross-functional teams to deliver intelligent systems enhancing business operations and decision-making. **Key Responsibilities:** - **AI Solution Design & Development:** - Lead the development of AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. - Design, train, and optimize machine learning models using frameworks suc...

In this role, you will be responsible for leading the design and architecture of an Azure-based AI infrastructure platform, focusing on supporting generative AI workloads and advanced analytics for pharma business use-cases. You will work on developing and deploying scalable AI solutions using Azure services like Azure Machine Learning, Azure Synapse Analytics, and other relevant tools. Additionally, you will oversee the design and implementation of data storage, retrieval, and processing pipelines, ensuring efficient handling of large datasets, including genomic and chemical compound data. Your collaboration with data scientists, research scientists, and other stakeholders will be essential...

Who are we Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking & financial services, insurance, retail, higher education, food, healthcare, and manufacturing. About the Role We are looking for a skilled and hands-on Data Scientist with 45 years of experience in developing and deploying machine learning modelsranging from traditional ML algorithms to advanced deep learning and Generative AI systems. The ideal candidate brings a strong foundation in classification, anomaly detection, and time...

About Amgen Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today. About The Role Role Description: Amgen is seeking a Data Scientist to develop, design and deploy AI enabled forecasting models . You will apply deep technical expertisefrom data ingestion to model deployment to scale forecasting models across R&D, Manufa...

About Amgen Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today. About The Role Role Description: Amgen is seeking a Sr. Data Scientist to develop, design and deploy AI enabled forecasting models . You will apply deep technical expertisefrom data ingestion to model deployment to scale forecasting models across R&D, Ma...

Role- Data Scientist Experience- 10 + Location- PAN India Must-Have** (Ideally should not be more than 3-5) Need Both theoretical and practical idea about basic data science algorithms of Regressing, Clustering, Classification, Natural Language processing, Deep Learning, time series forecasting. Also, must have a clear idea about the applicability of those. Should be very through about the deep learning concepts of CNN, RNN, Transformer models Should be able to create chain of serverless multimodal architecture, consisting of many AI models in the chain Must be strong in python programming, Model training and testing Must know one of the ML OPS technology either of the following Cloud Offeri...

Role Overview: You will be responsible for designing, developing, and deploying 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. Your role will involve working with extensive and complex datasets, collaborating with cross-functional teams, implementing generative AI models in production environments, and staying updated with the latest advancements in generative AI research. Key Responsibilities: - Design, develop, and deploy advanced AI models with a focus on generative AI - Work with extensive and complex datasets for generative model training - Collabor...

Specialized Technical Skills: Expertise in areas like: Cloud platforms (Microsoft Azure, AWS) AI and Machine Learning (Transformer models, model training) Programming languages (Java) Product Development and Platform Creation Power Programmer is an important initiative within Global Delivery to develop a team of Full Stack Developers who will be working on complex engineering projects, platforms and marketplaces for our clients using emerging technologies., They will be ahead of the technology curve and will be constantly enabled and trained to be Polyglots., They are Go-Getters with a drive to solve end customer challenges and will spend most of their time in designing and coding, End to En...

As an AI/ML Engineer specializing in Generative AI, you will have the exciting opportunity to contribute to the development and deployment of cutting-edge intelligent models and systems. Your key responsibilities will include: - Assisting in the development, training, and evaluation of machine learning and deep learning models. - Fine-tuning pre-trained Large Language Models (LLMs) like GPT, BERT, LLaMA for specific use cases. - Working with datasets: collection, preprocessing, augmentation, and analysis. - Participating in model optimization, deployment via APIs, and performance monitoring. - Taking ownership of implementation, quality assurance, continuous integration and deployment, and a...

As a Robot AI Engineer at our company, you will be responsible for designing, implementing, and optimizing Natural Language Processing (NLP) algorithms to enable robots to understand and process complex human language. Your key responsibilities will include developing and fine-tuning Transformer-based models, implementing dialogue systems and conversational AI, applying sequence models for action mapping, working on Speech Recognition (ASR) and Text-to-Speech (TTS) systems, and integrating RAG models for context understanding. Your qualifications should include a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related field, along with extensive exp...

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: EY GDS Data and Analytics (D&A) Manager Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 8 - 11 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution ...

4–5 hands-on experience in machine learning or data science roles.2- Proficient in Python and ML/DL libraries: scikit-learn, pandas, PyTorch, TensorFlow.3-Strong knowledge of traditional ML and deep learning, especially for sequence and NLP tasks.

Organization and Background Established in 1996, Esri India Technologies Pvt. Ltd. (Esri India), the market leader in geographic information system (GIS) software, location intelligence, and mapping solutions in India, helps customers unlock the maximum potential of their data to improve operational and business decisions. It has delivered pioneering enterprise GIS technology, powered by ArcGIS, to more than 6,500 organizations in government, private sector, academia, and non-profit sectors. The company has also introduced Indo ArcGIS, a unique GIS solution & data offering suited for government organizations. Esri India collaborates with a rich ecosystem of partner organizations to deliver G...

Join us to build cutting-edge Generative AI solutions. Apply expertise in LLMs (Fine-tuning, RAG), Python, and NLP to solve complex problems. Ideal candidate has a strong ML foundation and hands-on GenAI experience Apply now recruiter2@rankskills.in Perks and benefits Mediclaim policy & Personal Accident Policy

Role Overview: You will be a Backend Engineer focusing on AI-driven systems, specifically in developing and maintaining scalable infrastructures for Generative AI applications. Your role will involve backend engineering, API design, and integration of AI models like LLMs, diffusion models, and multimodal AI systems. Experience in enterprise-level systems, especially in banking or financial services, is advantageous. Key Responsibilities: - Design and develop scalable backend services to support AI and Generative AI workloads. - Build and optimize RESTful and GraphQL APIs for model inference, prompt processing, and data access. - Create modular backend components for high-performance, scalabl...

As a Backend Engineer specializing in Generative AI infrastructure, your primary responsibility will be to design and develop scalable backend services to support AI and Generative AI workloads. You will play a crucial role in building and optimizing RESTful and GraphQL APIs for model inference, prompt processing, and data access. Additionally, you will create modular backend components for high-performance, scalable AI operations. Your collaboration with AI engineers for integrating and deploying Generative AI models will be essential, especially in implementing retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, Weaviate, FAISS, or Milvus. Optimizing AI mod...