36 Multimodal Models Jobs - Page 2

We are looking for a skilled and innovative Machine Learning Engineer with expertise in Large Language Models (LLMs) to join our team. The ideal candidate should have hands-on experience in developing, fine-tuning, and deploying LLMs, along with a deep understanding of the machine learning lifecycle. Your responsibilities will include developing and optimizing LLMs such as OpenAI's GPT, Anthropic's Claude, Google's Gemini, or AWS Bedrock. You will customize pre-trained models for specific use cases to ensure high performance and scalability. Additionally, you will be responsible for designing and maintaining end-to-end ML pipelines from data preprocessing to model deployment, optimizing trai...

As an NLP Engineer at Tiger Analytics, you will have the opportunity to work on cutting-edge AI and analytics projects to help Fortune 1000 companies overcome their toughest challenges. You will be part of a global team of technologists and consultants dedicated to empowering businesses to achieve real outcomes and value at scale. Your role will involve collaborating with experienced team members on internal product development and client-focused projects, with a focus on the pharma domain. You will play a key role in designing, developing, and deploying GenAI solutions, with a particular emphasis on addressing challenges like hallucinations, bias, and latency. Your day-to-day responsibiliti...

As an AI/ML Consultant specializing in Generative AI and Machine Learning, you will leverage your 8+ years of experience to lead and deliver AI initiatives in the Healthcare, BFSI, and Manufacturing sectors. Your role will involve collaborating with stakeholders to develop scalable AI solutions that integrate Generative AI techniques like LLMs and transformers with traditional ML approaches such as time series analysis, classification, and deep learning. Your core responsibilities will include: AI/ML Strategy & Delivery: - Leading end-to-end AI/ML projects, from concept to implementation. - Working closely with stakeholders to transform business requirements into effective AI solutions. - Ap...

Nanonets is revolutionizing the way companies streamline document-heavy and unstructured data workflows through AI Agents. Our client portfolio includes industry giants such as Adobe, Schneider Electric, and Boston Scientific. With strong support from renowned investors, we are experiencing rapid growth and are seeking exceptional engineers to join our purpose-driven team. As a part of our team, you will play a crucial role in developing and implementing cutting-edge generalised deep learning architectures that are capable of addressing intricate business challenges. Your primary focus will involve creating solutions for converting unstructured data into a structured format without the need ...

You should have a strong hold on the Software Development Life Cycle (SDLC), Python Scripting, and AI packages. Your conceptual knowledge should include GenAI techniques such as Prompt engineering (Template, Curation, modification) and various foundation models related to text, image, video, and other data. Experience in DNN module training & Integration, CNN, Transformer/RNN is essential. You should also possess GenAI knowledge in LLM, Multimodal Models (Stable diffusion/Autoregression/Diffusion Transformer) to utilize World Foundation model and peripheral development effectively. Additionally, familiarity with Finetuning (Transfer learning) techniques for Multimodal Foundation models and M...

You will be part of our team as a Researcher at Infosys Applied AI research team. Your role will involve designing, developing, and training transformer-based models for multiple-modality to support various AI-powered applications. You will experiment with different architectures, training techniques, and optimization methods to enhance the models" understanding and generative capabilities. Additionally, you will be responsible for innovating robust and scalable architectures to meet future requirements and troubleshooting model issues to ensure their robustness and adaptability. To qualify for this position, you should have at least 8 years of experience and hold a Master's degree or Ph.D. ...

As an ideal candidate, you should have a strong grasp of the Software Development Life Cycle (SDLC), Python Scripting, and Artificial Intelligence (AI) packages. Your conceptual knowledge should extend to General Artificial Intelligence (GenAI) techniques, including Prompt engineering such as Template, Curation, and modification. You should be well-versed in various foundation models related to text, image, video, and other data. Experience in training and integrating Deep Neural Network (DNN) modules, Convolutional Neural Network (CNN), and Transformer/Recurrent Neural Network (RNN) is essential for this role. Additionally, you should possess GenAI knowledge concerning Large Language Models...

As a Senior AI Engineer at Teradata, you will play a vital role in shaping the future of enterprise AI by designing and deploying advanced AI agents that integrate deeply with business operations. You will be part of a high-caliber team of AI researchers, engineers, and data scientists, working on cutting-edge AI solutions for large-scale enterprise environments. Your responsibilities will include architecting and implementing Agentic AI systems, building AI observability pipelines, designing data platform components, and integrating LLMs and multi-modal models into robust AI agents. You will collaborate closely with product, research, and MLOps teams to ensure smooth integration between AI ...

Job Description: Strategic Technology Group is a core team within Infosys supported by Power Programmers who are tech polyglots Our team of Power Programmers works on complex projects and builds solutions to solve some of the world s most challenging business problems Introduction We are looking for a passionate and talented Researcher to join Infosys Applied AI research team As an Researcher you will work on architecting building refining and optimizing state of the art Models that drive cutting edge multi modal multi domain understanding and generation capabilities If you have experience building LLM SLM Multimodal models we would love to hear from you Why Join Us Work with an innovative t...

Role & responsibilities Architect and implement AI/ML solutions tailored to client-specific business problems using Gen AI (e.g., LLMs like GPT, Gemini, Mistral) and traditional ML models (e.g., scikit-learn, XGBoost). Collaborate with client stakeholders to understand requirements, define problem statements, and translate them into scalable AI/ML solutions. Present demos and proof-of-concepts (POCs) to clients, showcasing the value of AI/ML in real-world scenarios Mentor and guide a cross-functional team of data scientists, ML engineers, and developers Drive best practices in model development, deployment, and monitoring Stay abreast of the latest advancements in Gen AI and ML, and evaluate...

The Oracle Global Business Unit (GBU) Generative AI team is responsible for leading Generative AI and Agent needs of business applications serving variety of markets including Finance, Hospitality, Construction and Engineering, Energy & Water etc. Our goal is to enable customers to apply AI to solve their business problems with Oracle's assistance and expertise in Generative AI. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality generative ai and agent features that delights our customers with the confidence that their data are safe and protected. Your Opportunity We are seeking a Principal Applied Scientist (IC4) to spea...