359 Vertex Ai Jobs - Page 10

Responsible for building and maintaining robust machine learning pipelines ensuring efficient model deployment monitoring and lifecycle management within a cloud based environment Extensive expertise in MLOps specifically with Google Cloud Platform GCP and Vertex AI and a deep understanding of model performance drift detection and GPU accelerators Build and maintain scalable MLOps pipelines in GCP Vertex AI for endtoend machine learning workflows Manage the full MLOps lifecycle from data preprocessing model training and deployment to model monitoring and drift detection Implement realtime model monitoring and drift detection to ensure optimal model performance over time Building and executio...

Job Title: AI Platform Architect Location: Pune (Hybrid) Experience Required: 10+ Years Functional Area: IT Software AI/ML, Architecture & Platform Engineering Education: B.Tech/B.E. in CS/IT or related field; Masters degree preferred Job Description We are hiring an experienced AI Platform Architect to lead the design and evolution of its AI/ML platform. The role focuses on enabling AI delivery at scale across cloud and edge, driving efficiency, security, and agility throughout the ML lifecycle. Roles & Responsibilities Define and maintain the reference architecture for an enterprise AI/ML platform, including data pipelines, model training, CI/CD, and observability. Build reusable platform ...

Design, develop, deploy ML models for real-world applications Implement, optimize ML pipelines using PySpark & MLflow Structured/ unstructured data using Pandas, NumPy Train models using scikit-learn, TensorFlow, PyTorch. Integrate LLMs Required Candidate profile Strong in Python, ML algorithms, model development, evaluation techniques Exp in PySpark model lifecycle management, MLflow Pandas, NumPy, and Scikit-learn, LLMs (OpenAI, Hugging Face Transformers)

Role & rJob Title: Senior Machine Learning Engineer Anomaly Detection & Time Series Forecasting Location: Bangalore Department: Engineering – AI/ML Job Overview: Resolve Tech Solutions is seeking an experienced Senior Machine Learning Engineer to drive the development of AI-driven anomaly detection, time series forecasting, and predictive analytics models for our next-generation observability platform. This role will focus on designing, building, and deploying ML models that provide real-time insights, predictive alerts, and intelligent recommendations powered by LLMs. As a key individual contributor, you will work on solving complex challenges in large-scale cloud environments while collabo...

MaintWiz is building an AI-first CMMS, leveraging our rich maintenance, equipment, and operational datasets to deliver predictive, prescriptive, and automated intelligence. As a Machine Learning Engineer focused on CMMS data, you will design, build, and deploy ML models that directly improve asset reliability, reduce downtime, optimize spare parts inventory, and enhance maintenance decision-making. Technical Skills 1) Handson experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn). 2) Experience with time-series forecasting, anomaly detection, and NLP. 3) Proficiency in Python and SQL; familiarity with Spark or distributed data processing. 4) Knowledge of MLOps tools (MLflow, Kubef...

As a Senior Data Scientist AI, you will lead the design and development of machine learning and generative AI models that enhance our platform. You will work closely with engineers, product managers, and cybersecurity SMEs to innovate how we analyze architectures, assess risks, and automate threat intelligence. This is a hands-on, highly strategic role that requires both technical depth and product insight. Key Responsibilities Design and implement ML and NLP models for use in analysis, pattern recognition, and AI-powered automation. Build and evaluate generative AI models (e.g., LLMs or RAG pipelines) to automate threat model generation and risk recommendations. Collaborate with product and...

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS: Total experience 5+ years. Strong proficiency in Python for Data Science , with experience in libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Hands on working experience in Python. Experience with data visualization libraries (...

Job Requirements Key Responsibilities Governance and harmonisation Define and establish best lean agile practices driving value addition , team efficiency, collaboration and visibility across teams and product Establish common tools and usage to drive the software and data release process across multiple teams from backlog management to value based prioritization to sprint execution to deployments to release closure and documentation generation. Drive scrum of scrum for overall SaaS and data platform. Agile Delivery Leadership Champion Scrum, Kanban, and SAFe principles while adapting them to suit product maturity and regulatory requirements. Facilitate sprint planning, backlog refinement, d...

About this role: Wells Fargo is seeking a Lead Software Engineer within the Enterprise Application & Cloud Transformation team. In this role, you will: Lead complex technology Cloud initiatives including those that are companywide with broad impact. Act as a key contributor in automating the provisioning of Cloud Infrastructure using Infrastructure as a Code. Make decisions in developing standards and companywide best practices for engineering and large-scale technology solutions. Design, Optimization and Documentation of the Engineering aspects of the Cloud platform. Understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables a...

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS: Total experience 7+ years. Hands on working experience in Python Experience with data visualization libraries (e.g., matplotlib, seaborn, plotly) Strong working experience grasp of DS stack packages: SciPy, scikit-learn, TensorFlow, PyTorch, NumPy...

- Hands on working experience in Python. - Experience with data visualization libraries. - Strong working experience grasp of DS stack packages. - Basic to intermediate SQL. - Experience working with GCP. - Hands-on experience deploying ML solutions.

As an AI Infrastructure Engineer (DevOps/MLOps) at Techvantage.ai, you will play a crucial role in building and managing the cloud infrastructure, deployment pipelines, and machine learning operations that power our AI-driven products. Your responsibilities will span across software engineering, machine learning, and cloud architecture, ensuring that our systems are scalable, reliable, and ready for production. You will design and manage CI/CD pipelines for software applications and machine learning workflows, deploying and monitoring ML models in production using tools like MLflow, SageMaker, or Vertex AI. Automation of infrastructure provisioning and configuration through IaC tools such as...

As an AI developer specializing in LLMs, multi-ai-agentic systems, and AI reasoning frameworks, you will be expected to have hands-on experience with Langchain, LangGraph, and CrewAI. You should possess strong programming skills in Python for AI development and be familiar with ReAct prompting, Chain-of-Thought reasoning, and AI fine-tuning. Experience with tools such as Google Cloud, Vertex AI, and CI/CD automation is required to excel in this role. Your responsibilities will include evaluating AI model performance, scalability, and efficiency, as well as having knowledge of multi-agent coordination, reinforcement learning, and distributed AI. You should be able to assess models and write e...

As an AI Senior Developer, you will be responsible for implementing AI solutions using Vertex AI or Google Cloud AI Platform to develop accelerators, IP solutions, or recommendation engines. You will conduct security assessments of AI-powered solutions in alignment with policies and guidelines, and collaborate with stakeholders to seamlessly integrate AI into existing workflows. Your expertise in machine learning frameworks such as TensorFlow and PyTorch, coupled with proficiency in cloud-based AI platforms, will be crucial for the successful execution of projects. Moreover, you should be familiar with building solutions using Large Language Models (LLMs) specifically with Vertex AI, and pos...

You should be an expert in LLMs, multi-ai-agentic systems, and AI reasoning frameworks with hands-on experience in Langchain, LangGraph, and CrewAI. Strong programming skills in Python for AI development are essential, along with familiarity in ReAct prompting, Chain-of-Thought reasoning, and AI fine-tuning. Experience with Google Cloud, Vertex AI, and CI/CD automation is required to excel in this role. You must possess the ability to evaluate AI model performance, scalability, and efficiency. Knowledge of multi-agent coordination, reinforcement learning, and distributed AI will be beneficial. Your role will involve evaluating models, writing evaluation code, and applying strong problem-solv...

As a Generative AI Lead, you will be responsible for spearheading the design, development, and implementation of cutting-edge GenAI solutions within enterprise-grade applications. Your role will encompass leveraging your expertise in Large Language Models (LLMs), prompt engineering, and scalable AI system architecture, coupled with hands-on experience in MLOps, cloud technologies, and data engineering. Your primary responsibilities will include designing and deploying scalable and secure GenAI solutions utilizing LLMs such as GPT, Claude, LLaMA, or Mistral. You will lead the architecture of Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, Weaviate, FAISS...

You are an experienced professional with 7+ years of total experience, seeking an opportunity to work with Nagarro, a Digital Product Engineering company. You have hands-on working experience in Python and are familiar with data visualization libraries such as matplotlib, seaborn, and plotly. Your strong grasp of DS stack packages including SciPy, scikit-learn, TensorFlow, PyTorch, NumPy, and Pandas is commendable. Additionally, you possess basic to intermediate SQL skills and have experience working with GCP. In this role, you will be responsible for writing and reviewing high-quality code. You will be required to understand the clients" business use cases and technical requirements and tra...

We are seeking a highly skilled and motivated Lead DS/ML engineer to join our team. The role is critical to the development of a cutting-edge reporting platform designed to measure and optimize online marketing campaigns. We are seeking a highly skilled Data Scientist / ML Engineer with a strong foundation in data engineering (ELT, data pipelines) and advanced machine learning to develop and deploy sophisticated models. The role focuses on building scalable data pipelines, developing ML models, and deploying solutions in production to support a cutting-edge reporting, insights, and recommendations platform for measuring and optimizing online marketing campaigns. The ideal candidate should be...

As a Senior Software Engineer specializing in AI/ML development and leading Vertex AI & Gemini projects, you will play a crucial role in developing and deploying solutions using cutting-edge technologies. With 5-8 years of experience in Software Development/Engineering, you will be responsible for integrating GenAI components into enterprise-grade document automation workflows. Your expertise in Google Cloud Platform, Vertex AI, and Gemini models will be essential in contributing to scalable, cloud-native architectures for document ingestion, extraction, summarization, and transformation. Your future duties and responsibilities include developing and deploying solutions using Vertex AI, Gemi...

As a Test Engineer at Google, you will play a crucial role in ensuring the quality of Google's suite of products and services. Your responsibilities will involve coding, developing test methodologies, writing test plans, creating test cases, and debugging. You will focus on automation testing and work with Android devices or Wear OS. You should hold a Bachelor's degree or equivalent practical experience and have at least 5 years of relevant experience. Preferred qualifications include a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience in building web-based solutions for test processes, fine-tuning AI libraries, and familiarity with Agile methodologi...

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has appli...

As Ford Motor Company embarks on a significant multi-year Platform Lifecycle Management (PLM) program to modernize critical IT applications across the enterprise, you have a unique opportunity to join the team as a GenAI Technical Manager (LL6). In this role, you will play a pivotal part in driving the practical adoption of Generative AI (GenAI) at Ford, with a focus on creating accelerators for the PLM modernization effort and enhancing the Ford Developer Experience (DX). Your expertise will be crucial in leading the technical development and implementation of GenAI solutions within this strategic program. You will collaborate closely with various teams including PLM program leaders, GDIA (...

You are a motivated and technically skilled Data Scientist with 4+ years of experience in applying AI/ML techniques to solve real-world problems. You possess a solid foundation in machine learning, statistical modeling, and data analysis, with hands-on experience working with large datasets and deploying models in production environments. Your key responsibilities include designing, developing, and deploying machine learning models and AI solutions for business problems across multiple domains. You will collaborate with cross-functional teams including engineering, product, and analytics to identify opportunities for data-driven solutions. Conducting exploratory data analysis (EDA), feature ...

As a skilled and passionate Platform Architect specializing in GenAI/LLM Systems, you will be responsible for architecting scalable, cloud-native infrastructure to support enterprise-grade GenAI and LLM-powered applications. Your role will involve designing and deploying secure, reliable API gateways, orchestration layers (such as Airflow, Kubeflow), and CI/CD workflows for ML and LLM pipelines. Collaboration with data and ML engineering teams will be essential to enable low-latency LLM inference and vector-based search platforms across GCP (or multi-cloud). You will define and implement a semantic layer and data abstraction strategy to facilitate consistent and governed consumption of data ...

You will be responsible for the role of a GCP Vertex AI Engineer with 5 to 12 years of hands-on experience in Generative AI, AI, ML, and Data Science technologies. Your main tasks will involve implementing end-to-end projects using Generative AI, building production-grade solutions, and developing Generative AI applications using various methodologies like RAG prompt engineering and fine-tuning. You will also work with structured and unstructured data to build RAG-based solutions. In this role, you will need to have extensive experience in working with cloud AI services such as GCP Vertex AI, Azure AI, AWS Bedrock, and managing large language models. While experience with GCP is preferred, e...