31 Ml Infrastructure Jobs - Page 2

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...

Do you want to help solve the world&aposs most pressing challenges Feeding the world&aposs growing population and slowing climate change are two of the world&aposs greatest challenges. AGCO is a part of the solution! Join us to make your contribution. As an AI Platform Architect, you will define and evolve the architecture of AGCOs AI platform, designing the technical foundation that empowers teams to deliver AI solutions efficiently, securely, and with confidence. Your work will shape how ML models move from experimentation to production, how AI platform services are consumed across teams, and how platform capabilities scale to support advanced use cases on cloud and edge deployments, inclu...

Do you have a passion for tackling global challenges like feeding the growing population and addressing climate change AGCO is dedicated to being part of the solution, and as an AI Platform Architect, you can play a crucial role in shaping the architecture of AGCO's AI platform to enable efficient, secure, and confident delivery of AI solutions. Your responsibilities will involve defining the reference architecture for AGCO's AI platform, including AI/ML data pipeline platforms, model training infrastructure, CI/CD for ML, observability, and developer tools. You will design core platform services such as containerized training environments, model registries, and integration interfaces to sup...

The ideal candidate for this position should have a Bachelor's degree or equivalent practical experience and a minimum of 5 years of experience in software development using one or more programming languages. Additionally, the candidate should have at least 3 years of experience in testing, maintaining, or launching software products, with 1 year of experience in software design and architecture. It is also required to have 3 years of experience in Natural Language Processing (NLP) concepts and algorithms, along with experience in designing NLP solutions. Furthermore, the candidate should possess 3 years of experience in ML infrastructure, including model deployment, model evaluation, optimi...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms. 1 year of experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies. Respons...

As a Mid-Level AI Software Engineer at Google, you will play a crucial role in developing, deploying, and scaling AI-powered solutions that have a direct impact on Google's employees. Working within the Human Resources Engineering (HRE) team based in Hyderabad, you will have the opportunity to collaborate with a diverse group of engineers, researchers, and HR professionals to create projects that shape the future of HR at Google. Your responsibilities will include writing code for product and system development, actively engaging in design and code reviews to ensure the implementation of best practices across various technologies, contributing to documentation and educational resources, and ...