10 Model Registry Jobs

As an AI/ML Engineer, you will play a pivotal role in identifying, defining, and delivering AI/ML and GenAI use cases in collaboration with both business and technical stakeholders. Your responsibilities will include designing, developing, and deploying models using Google Cloud's Vertex AI platform. You will be entrusted with fine-tuning and evaluating Large Language Models (LLMs) for domain-specific applications, while ensuring responsible AI practices and governance in solution delivery. - Collaborate closely with data engineers and architects to establish robust and scalable pipelines. - Thoroughly document workflows and experiments to ensure reproducibility and smooth handover readiness...

As an Associate Director with 12-15 years of experience in data sciences and data mining, with a minimum of 2 years of hands-on experience working on Vertex AI, your role at KPMG in India will involve leading projects, designing scalable data solutions, driving the adoption of AI and machine learning practices within the organization, and supporting pre-sales activities. You will be based in Bangalore and will be responsible for architecting and implementing end-to-end data analytics solutions using Google Cloud services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. - Architect and Implement: - Design and implement end-to-end data analytics solutions using Google Cloud services suc...

About The Role We are hiring a Machine Learning / AI expert with 47 years of experience, passionate about building impactful GenAI solutions using Vertex AI on Google Cloud. If you love working on cutting-edge AI/LLM technologies and driving POC delivery, wed love to hear from you! What Youll Do Collaborate with business and tech teams to define and deliver GenAI/ML use cases as POCs Build and deploy ML/GenAI models on Google Vertex AI Fine-tune and evaluate LLMs for real-world applications Work with data engineers to design secure and scalable ML pipelines Document and maintain reproducible workflows Must-Have Skills 4-7 yrs of hands-on experience in ML/AI project delivery Strong foundation...

Job Title: Machine Learning Engineer Job Type: Full-time About Us: Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest-growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market. Job Summary Join our customer's team as a hands-on Machine Learning Engineer, where you'll play a pivotal role in shaping, deploying, and automating end-to-end machine learning pipelines. Leveraging your expertise in A...

Role Overview: At PwC, your role in data and analytics will involve leveraging data to drive insights and make informed business decisions. You will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. Specifically, in data analysis at PwC, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Your responsibilities will include leveraging skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. Key Responsibilities: - Develop and implement MLOps strategies tailored for Generative ...

As a skilled Technical Lead, you will be responsible for leading the end-to-end design and delivery of an AI-powered solution that combines NLP, anomaly detection, GenAI/RAG, and rule engines on a Cloud platform. Your role will involve owning the architecture, technical roadmap, and production reliability while guiding a cross-functional team comprising ML, Data Eng, Backend, DevOps, and QA professionals. Key Responsibilities: - Define the reference architecture including ingestion, lakehouse, features/vectors, models, and APIs/UX; make build/buy decisions - Select, train, and operationalize NLP, anomaly/fraud models, and GenAI/RAG components; establish human-in-the-loop - Implement experime...

As an MLOps Engineer at our company, you will be responsible for developing scalable applications and platforms in an agile environment. You will manage various aspects of project management, including requirements gathering, metadata collection, classification, security clearance, data pipeline template development, and data pipeline monitoring and support. Your role will involve designing, developing, deploying, and maintaining production-grade scalable data transformation, machine learning, and deep learning code and pipelines. You will be in charge of managing the ETL and machine learning model lifecycle, including development, deployment, monitoring, maintenance, and updates of data and...

Enterpret is a cutting-edge company specializing in AI-native applications that harness the potential of customer feedback to benefit businesses. By consolidating feedback from various sources, Enterpret transforms it into actionable insights that drive customer-centric decisions for teams at renowned companies such as Perplexity, Notion, Canva, and Figma. With the support of notable investors like Kleiner Perkins and Peak XV, Enterpret is revolutionizing how businesses comprehend and respond to the voice of their customers. As the LLMOps Architect at Enterpret, you will play a pivotal role in fine-tuning LLM models, managing prompts, conducting evaluations, optimizing for cost efficiency, a...

As the AI Ops, ML Ops, and LLM Ops Manager, your primary responsibility is to oversee the efficient and scalable operations of AI and machine learning models. You will be in charge of managing the entire model lifecycle, covering development, deployment, monitoring, and maintenance. It is crucial to ensure strict adherence to predefined Service Level Agreements (SLAs) for AI and ML operations. To streamline the integration and deployment of models, you will be required to develop and maintain CI/CD Ops pipelines. Additionally, implementing and managing model registries for version control and governance is essential. You will establish coding checklists and best practices while also developi...

At PwC, our data and analytics team focuses on utilizing data to drive insights and support informed business decisions. We leverage advanced analytics techniques to assist clients in optimizing their operations and achieving strategic goals. As a data analysis professional at PwC, your role will involve utilizing advanced analytical methods to extract insights from large datasets, enabling data-driven decision-making. Your expertise in data manipulation, visualization, and statistical modeling will be pivotal in helping clients solve complex business challenges. PwC US - Acceleration Center is currently seeking a highly skilled MLOps/LLMOps Engineer to play a critical role in deploying, sca...