279 Gpt Jobs

We are seeking a passionate and skilled AI Engineer to join our technical team. This role will be responsible for designing, developing, and deploying cutting-edge AI solutions using large language models (LLMs), Retrieval-Augmented Generation (RAG), MCP and Agentic AI frameworks. Key Responsibility: Design and implement AI solutions leveraging LLMs, RAG pipelines, MCP and Agentic AI architectures. Develop and fine-tune deep learning models for NLP tasks using frameworks like PyTorch or TensorFlow. Build scalable APIs using REST / FastAPI to serve AI models and integrate with enterprise systems. Optimize model performance and ensure robustness in production environments. Stay updated with th...

Must-Have Skills: 7+ years overall, 2+ years with transformer-based NLP (text generation, summarization, Q&A, classification). Strong expertise in LLMs (GPT, BERT, T5, RoBERTa). Experience in fine-tuning models on domain-specific datasets. Knowledge of attention mechanisms, tokenization, embeddings, and context windows. Skilled in prompt engineering (instruction-based, zero/few/many-shot, CoT prompting, reusable templates). Proficiency in Python with NLP libraries (Hugging Face, SpaCy, NLTK). Hands-on in training, fine-tuning, deploying NLP models. Familiarity with evaluation metrics (BLEU, ROUGE) and challenges like bias, hallucination, knowledge cutoffs aditi.chaturvedi@ibotix.in

Consultants Must be local to Bangalore OR Mumbai Skill Required : 7+ Years of Experience required Must have skills : Gen AI, Rag, Azure Open AI, Agentic AI , GPT Model 3 or Above

Exp in GPT, BERT, T5, RoBERTa & other transformer models Hands-on with fine-tuning, instruction-based prompting & CoT techniques Strong Python & NLP libraries-Hugging Face, SpaCy, NLTK Experience in text generation, summarization, QA, classification

As a Generative AI Developer at our company, you will be responsible for building cutting-edge generative models to create innovative, human-like content across various domains such as natural language generation, image generation, and more. Your expertise in machine learning, deep learning, and natural language processing will be crucial for developing AI systems that utilize generative models like GPT, GANs, VAEs, and other neural networks. **Key Responsibilities:** - Develop and fine-tune generative models using techniques like GANs, VAEs, Transformers, and Diffusion models. - Work on tasks including text generation, image generation, music/sound generation, video creation, and other crea...

Job Title: AI/ML Engineer Experience: 4 To 8 Years Location: Bangalore Key Responsibilities Design, build, and optimize AI/ML solutions for enterprise applications. Develop Generative AI applications with workflows such as RAG Build and deploy AI agents using frameworks like LangGraph, Crew, or PydanticAI . Implement LLM integration and optimize Prompt Engineering workflows (Eg ., GPT, Claude, LLaMA). Collaborate with cross-functional teams to integrate AI solutions into production systems. Utilize Databricks, REST APIs, WebSockets, and event-driven architectures for scalable deployments. Ensure adherence to SDLC best practices, CI/CD pipelines (Jenkins), and Git-based workflows. Leverage AI...

As an Associate Consultant/Consultant, you will play a crucial role in designing and implementing AI/ML models and data-driven solutions to tackle intricate challenges in healthcare and life sciences. Your responsibilities will include analyzing large datasets to identify trends, generate insights, and support data-informed decision-making. Additionally, you will collaborate with consultants, data engineers, and scientists to establish end-to-end data pipelines and analytical workflows. Your key responsibilities will involve: - Designing and implementing AI/ML models and data-driven solutions for complex challenges in healthcare and life sciences - Analyzing large datasets to identify trends...

As a Data Science and AI / ML professional at LTIMindtree, you will play a crucial role in leveraging digital technologies to drive innovation and growth for our clients. With over 6 years of experience in the field, you will be expected to have a deep understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Your expertise in data frameworks like Hadoop, business intelligence tools like Tableau, and Cloud native skills will be essential in delivering superior business outcomes. Key Responsibilities: - Utilize your knowledge of SQL and Python, with familiarity in Scala, Java, or C++ as an asset, to develop innovative A...

Role Overview: You will be responsible for designing, building, and deploying Generative AI models using foundational models like GPT, BERT, LLaMA, PaLM, etc. Additionally, you will develop scalable GenAI applications, integrate them with enterprise systems using APIs and SDKs, and fine-tune large language models (LLMs) for domain-specific use cases. You will also design, implement, and manage end-to-end machine learning pipelines on Microsoft Azure, collaborate with data scientists to productionize ML models, and automate deployment and monitoring of models using CI/CD pipelines and Azure DevOps tools. Furthermore, you will ensure security, compliance, and governance of ML workflows and dat...

Role Overview: As a Senior Consultant in TMT Business Consulting Finance at EY, you will have the opportunity to work with Technology, Media & Entertainment, and Telecommunications organizations to help them evolve, transform, and stay competitive in the industry. Your role will involve creating compelling employee and customer experiences, ensuring operational excellence, safeguarding data and reputation, and supporting M&A strategies. You will play a key part in shaping the future of the technology revolution and contributing to building a better working world for all. Key Responsibilities: - Develop end-to-end GenAI solutions using LLMs (OpenAI, Claude, Llama, Gemini, etc.) - Build and ma...

As a part of our team, your role will involve determining and developing user requirements for systems in production to ensure maximum usability. Your success in this position will be reflected in your ability to effectively gather and analyze user feedback to drive improvements in system functionality. This role is crucial in ensuring that our products meet the needs and expectations of our users. Your responsibilities will include: - Determining and developing user requirements for systems in production - Gathering and analyzing user feedback to drive improvements in system functionality - Ensuring maximum usability of our products To excel in this role, you should possess the following qu...

Role Overview: You will be a part of the Data and Analytics (D&A) team at EY as a Senior Data Scientist. With a minimum of 3-7 years of experience in Data Science and Machine Learning, you will be involved in developing and implementing AI solutions, particularly focusing on NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. Your role will be crucial in leveraging your technical expertise to contribute to cutting-edge AI models and systems. Responsibilities: - Contribute to the design and implementation of state-of-the-art AI solutions. - Assist in the development and implementation of AI models and systems, utilizing techniques such as Language Models (L...

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and ...

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and ...

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and ...

As an AI/ML Developer, you will be responsible for utilizing programming languages such as Python for AI/ML development. Your proficiency in libraries like NumPy, Pandas for data manipulation, Matplotlib, Seaborn, Plotly for data visualization, and Scikit-learn for classical ML algorithms will be crucial. Familiarity with R, Java, or C++ is a plus, especially for performance-critical applications. Your role will involve building models using Machine Learning & Deep Learning Frameworks such as TensorFlow and Keras for deep learning, PyTorch for research-grade and production-ready models, and XGBoost, LightGBM, or CatBoost for gradient boosting. Understanding model training, validation, hyperp...

As a Platform Development and Machine Learning expert at Adobe, you will play a crucial role in changing the world through digital experiences by building scalable AI platforms and designing ML pipelines. Your responsibilities will include: - Building scalable AI platforms that are customer-facing and evangelizing the platform with customers and internal stakeholders. - Ensuring platform scalability, reliability, and performance to meet business needs. - Designing ML pipelines for experiment management, model management, feature management, and model retraining. - Implementing A/B testing of models and designing APIs for model inferencing at scale. - Demonstrating proven expertise with MLflo...

About the role We are seeking a skilled Social Media Manager to join our team and elevate JLL's digital presence in the B2B space. In this role, you will develop and execute content strategies across various social media channels, supporting our global real estate services brand. You'll craft compelling, on-brand copy for platforms like LinkedIn, Facebook, Instagram, and Twitter, while adhering to JLL's brand voice guidelines. Collaborating with cross-functional teams, you'll create engaging content that aligns with our marketing objectives and resonates with our target audience of commercial real estate professionals, investors, and corporate clients. You'll also coordinate social media cam...

About the role We are seeking a skilled Social Media Manager to join our team and elevate JLL's digital presence in the B2B space. In this role, you will develop and execute content strategies across various social media channels, supporting our global real estate services brand. You'll craft compelling, on-brand copy for platforms like LinkedIn, Facebook, Instagram, and Twitter, while adhering to JLL's brand voice guidelines. Collaborating with cross-functional teams, you'll create engaging content that aligns with our marketing objectives and resonates with our target audience of commercial real estate professionals, investors, and corporate clients. You'll also coordinate social media cam...

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of Sr AI Research Scientist: Research and Development: Conduct original research on generative AI models, focusing on model architecture, training methodologies, fine-tuning techniques, and evaluation strategies. Maintain a strong publication record in top-tier conferences and journals, showcasing contributions to the fields of Natural Language Processing (NLP), Deep Learning (DL), and Machine Learning (ML). Experience with POCs on emerging and latest innovation in AI. Multimodal Development: Design and experiment with multimodal generative models that integrate various data types, including text, images, and ...

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and ...

The responsibilities for this role include conducting original research on generative AI models, focusing on model architectures, training methods, fine-tuning, and evaluation strategies. You will be responsible for building Proof of Concepts (POCs) with emerging AI innovations and assessing their feasibility for production. Additionally, you will design and experiment with multimodal generative models encompassing text, images, audio, and other modalities. Developing autonomous, agent-based AI systems capable of adaptive decision-making is a key aspect of the role. You will lead the design, training, fine-tuning, and deployment of generative AI systems on large datasets. Optimizing AI algor...

You are a Machine Learning & Generative AI Engineer responsible for designing, building, and deploying advanced ML and GenAI solutions. This role presents an exciting opportunity to work on cutting-edge AI systems, such as LLM fine-tuning, Transformer architectures, and RAG pipelines, while also contributing to traditional ML model development for decision-making and automation. With a minimum of 3 years of experience in Machine Learning, Deep Learning, and AI model development, you are expected to demonstrate a strong proficiency in Python, PyTorch, TensorFlow, Scikit-Learn, and MLflow. Your expertise should encompass Transformer architectures (such as BERT, GPT, T5, LLaMA, Falcon) and atte...

As a Technical Lead/Manager in the AI Center of Excellence (CoE) team at our organization, you will be responsible for leading the team and driving the implementation of AI-powered solutions. Your role will involve coordinating with multiple teams, collaborating closely with stakeholders, and overseeing the technical aspects of AI/ML projects to ensure the effective application of generative AI technologies in our product suite. With 6-8 years of experience in AI/ML technologies, including at least 3 years in a leadership role, you will possess a strong background in AI/ML model development and deployment, especially within the financial services sector. Your proficiency in Python, R, and ot...

As an intern at Akaike Technologies, you will be engaged in a variety of exciting tasks related to working with Large Language Models (LLMs) such as GPT, LLaMA, or Mistral to develop real-world applications. Your responsibilities will include developing effective prompts to enhance AI-generated outputs, implementing Retrieval-Augmented Generation (RAG) for improved knowledge retrieval, and applying classic ML techniques (classification, regression, clustering) using tools like scikit-learn, TensorFlow, or PyTorch. You will also be involved in working with Hugging Face Transformers for pre-trained model adaptation, developing RESTful APIs to seamlessly integrate AI models into applications, a...