352 Vertex Ai Jobs - Page 5

Role Overview: You will be responsible for full stack software development and implementing statistical methods in the Cloud environment. Your role will involve working with a variety of technologies and tools to develop and deploy machine learning and deep learning models. Key Responsibilities: - Utilize 3+ years of experience in full stack software development - Apply statistical methods such as ANOVA and principal component analysis - Work with Python, SQL, and BigQuery (BQ) - Utilize various technologies including SonarQube, CICD, Tekton, terraform, Google Cloud Storage (GCS), GCP Looker, Google Cloud Build, Cloud Run, Vertex AI, Airflow, TensorFlow, etc. - Train, build, and deploy machi...

As a highly skilled Google Cloud Platform (GCP) Expert, your role will involve designing, implementing, and managing the cloud infrastructure and services. You will collaborate with engineering, security, and product teams to ensure scalability, reliability, and compliance of the cloud environment. Key Responsibilities: - Design and implement secure, scalable, and cost-optimized GCP cloud architectures. - Evaluate and recommend GCP services (e.g., BigQuery, Pub/Sub, GKE, Cloud SQL, Vertex AI) for business use cases. - Build CI/CD pipelines and Infrastructure as Code (IaC) using Terraform, Deployment Manager, or similar tools. - Manage and optimize GCP infrastructure including Compute Engine,...

Proficient in GCP AI offerings and Google Dialog flow CX/Virtual agents building. Experience on Voice AI / Digital Channels/Agentic AI applications using Playbooks, tooling, connectors, and data sources. Strong proficiency in Python/ Node JS for developing cloud function, building connection between the client face interface and GCP Hands on the identification, design, and implementation of use cases for GCP DFCX Agents in contact centers to improve customer experience and operational efficiency. Proficient in constructing intents, entities, and annotations in Dialog flow CX tool. Familiar with Vertex AI, Datastore, Authentication, CI/CD Implementation, GIT.

Role Overview: You will be responsible for designing, developing, and deploying AI/ML models and Generative AI solutions to enhance enterprise applications such as CRM, ERP, CX, and Finance. You will collaborate with product and platform teams to identify opportunities for AI-driven automation, insights, and personalization. Additionally, you will fine-tune and optimize Large Language Models (LLMs) and other ML models for enterprise use cases, develop APIs and microservices to expose AI capabilities, and ensure models meet accuracy, performance, scalability, and compliance requirements. Key Responsibilities: - Design, develop, and deploy AI/ML models and Generative AI solutions for enterpris...

As an experienced Full Stack Developer, you will be responsible for owning the full stack of the company's products. This includes architecting, implementing, and maintaining backend services in Python/Django and modern frontend SPAs in React. You will also lead and mentor the engineering team by establishing best practices, conducting code reviews, and coaching junior developers or contractors as the team grows. Key Responsibilities: - Architect, implement, and maintain backend services in Python/Django and modern frontend SPAs in React - Lead and mentor the engineering team by establishing best practices and conducting code reviews - Prototype and productionize RAG pipelines using Haystack...

As an experienced Google Cloud Architect, your role will involve architecting and provisioning scalable, secure, and cost-effective solutions on GCP. You will collaborate with cross-functional teams across cloud modernization and AI initiatives. Here is a breakdown of your key responsibilities: - **Cloud Architecture & Infrastructure**: - Manage GKE, Cloud Run, and serverless services. - Design and implement robust, scalable architectures on Google Cloud Platform. - Lead infrastructure provisioning using Terraform, Deployment Manager, or gcloud CLI. - Ensure secure and efficient network design using VPC, subnetworks, load balancers, Cloud NAT, VPNs, and Interconnects. - Implement IAM, servic...

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India; Pune, Maharashtra, India; Gurugram, Haryana, India . Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. Experience building machine learning solutions and working with technical customers. Experience writing software in Python, Scala, R, or similar. Experience with data structures, algorithms, and software design. Ability to travel up to 30% of the time as needed. Preferred qualifications: Experience in software development, professional services, solution engineeri...

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Bengaluru, Karnataka, India; Mumbai, Maharashtra, India . Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 3 years of experience building machine learning solutions and working with technical customers. Experience designing cloud enterprise solutions and supporting customer projects to completion. Experience writing software in Python, Scala, R, or similar. Ability to travel up to 30% of the time. Preferred qualifications: Experience working with recommendation engines, data pipelines, or distri...

We are seeking a highly experienced and innovative First Responder AI Expert with 3-8 years of experience to lead the development of AI agents designed for instant, context-aware responses. This role is a blend of AI engineering, natural language processing (NLP), and deep domain knowledge of business operations. The ideal candidate will be responsible for creating, deploying, and optimizing AI agents that act as a "first responder" to various queries and eventsfrom a customer's support request to an internal employee's question about HR policies or a sales team's need for real-time data. You will be instrumental in automating support, knowledge access, and operational workflows across the o...

Role Overview: You will be responsible for designing, implementing, and managing infrastructure as code using Terraform for GCP environments. Additionally, you will architect and manage GCP environments, collaborate with cross-functional teams to provide scalable infrastructure solutions, integrate and optimize solutions using Vertex AI, design and optimize data storage solutions using BigQuery Storage, integrate Wiz Security Control for security monitoring, implement automation solutions, and ensure security best practices and compliance in GCP environments. Key Responsibilities: - Design, implement, and manage infrastructure as code using Terraform for GCP environments. - Ensure infrastruc...

TechRBM is a fast-growing digital transformation partner to global enterprises, delivering solutions across AI, Cloud, Data Engineering, and Automation. We're scaling from 120+ to 300-500 professionals and are building a high-impact Data Science team to ship measurable business outcomes for clients in BFSI, Retail, Healthcare, Manufacturing, and High-Tech. As a Senior Data Scientist at TechRBM, you will be responsible for end-to-end problem-solving, from business discovery and hypothesis design to model deployment and post-production monitoring. Your role will involve partnering with product, engineering, and client stakeholders to build production-grade ML/AI and GenAI solutions on platform...

Job Title: AI/ML Engineer Experience Level : 3-6 years Location : [Pune/Bangalore/Hybrid] Type : Full-Time Job Summary We are looking for a dynamic and innovative AI/ML Engineer with expertise in Generative AI and hands-on experience in GCP or other cloud platforms. The ideal candidate will have proven experience in developing, training, fine-tuning, and deploying advanced AI/ML models. You will play a pivotal role in building scalable, production-ready solutions involving large datasets , NLP techniques, and cutting-edge frameworks such as MCP, Retrieval-Augmented Generation (RAG), and REACT (Retrieve, Extract, Adapt, Construct, Think). This role requires a solid foundation in Python , SQL ...

As an AI/ML Engineer at Automation Anywhere, you will be part of the Cloud Operations (CloudOps) team, responsible for designing, developing, and deploying AI/ML models and automation solutions to optimize cloud infrastructure management and operational efficiency. **Primary Responsibilities:** - Design, develop, and deploy machine learning models and AI algorithms for automating cloud infrastructure tasks like monitoring, fault detection, and predictive maintenance. - Collaborate with Cloud Engineers, ML Engineers, Data Scientists, and DevOps teams to integrate AI/ML solutions into cloud orchestration and management platforms. - Build scalable data pipelines and workflows using cloud-native...

AI & Machine Learning Design, develop, and implement machine learning models for predictive analytics, natural language processing (NLP), computer vision, or recommendation systems. Lead end-to-end AI project lifecycles, including validation, productionization, and optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay updated with the latest advancements in Generative AI and foundation models, evaluating and integrating them as needed. Partner with cross-functional teams to identify AI use cases and deliver measurable business value. Data Science & Analytics Lead the end-to-end analytics lifecycle, from data exploration to actionable insights and product developme...

About TechRBM TechRBM is a fast-growing digital transformation partner to global enterprises, delivering solutions across AI, Cloud, Data Engineering, and Automation. We're scaling from 120+ to 300-500 professionals and are building a high-impact Data Science team to ship measurable business outcomes for clients in BFSI, Retail, Healthcare, Manufacturing, and High-Tech. Role Overview We're hiring a Senior Data Scientist who can own end-to-end problem solving-from business discovery and hypothesis design to model deployment and post-production monitoring. You will partner with product, engineering, and client stakeholders to build production-grade ML/AI and GenAI solutions on AWS/Azure/GCP an...

MLOps + Vertex AI

As a highly skilled Google Cloud Platform (GCP) Expert, your role will involve designing, implementing, and managing the cloud infrastructure and services for the company. You will be expected to have deep expertise in GCP tools, cloud-native architectures, and modern DevOps practices. Collaborating closely with engineering, security, and product teams, your primary focus will be on ensuring scalability, reliability, and compliance of the cloud environment. Key Responsibilities: - **Architecture & Design:** - Design and implement secure, scalable, and cost-optimized GCP cloud architectures. - Evaluate and recommend GCP services (e.g., BigQuery, Pub/Sub, GKE, Cloud SQL, Vertex AI) for busines...

As a Technical Lead AI, you will be responsible for driving the design, development, and deployment of AI-driven solutions across multiple product lines. You should have a proven track record of supporting AI-embedded products, leading Gen AI initiatives, and establishing best practices in data pipelines, ML model lifecycle, LLMs, and MLOps. Your role will involve collaborating with cross-functional teams to architect scalable AI systems, mentor engineers, and ensure successful integration of AI capabilities into business applications. - Lead the end-to-end design and implementation of AI/ML and GenAI solutions, including Retrieval-Augmented Generation (RAG) pipelines. - Partner with product...

As an AI/ML Project Manager, your role will involve overseeing and leading projects related to artificial intelligence and machine learning. Your key responsibilities will include: - Utilizing your 6-10 years of experience in Python, PL/SQL (preferably MS SQL Server) to drive project success. - Leveraging your expertise in the BFSI domain, particularly in Indian Banks and NBFCs, to provide strategic insights. - Demonstrating a strong understanding of Micro Finance Credit Bureau data to guide decision-making processes. - Applying your proficiency in statistics and tools/languages such as Python, SAS to analyze data effectively. - Synthesizing unstructured data and extracting actionable themes...

As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying scalable ML solutions using GCP and Vertex AI. You will work closely with data scientists, engineers, and product teams to operationalize models and manage the full ML lifecycle. Key Responsibilities: Model Development & Deployment: Build, train, and optimize ML models using Vertex AI (AutoML, custom training jobs, Workbench). Deploy models to production using Vertex AI endpoints and integrate with APIs or downstream systems. ML Pipelines & MLOps: Design and implement scalable ML pipelines using Vertex AI Pipelines, Kubeflow, and Cloud Functions. Apply CI/CD practices using Cloud Build, GitHub Ac...

Job Description: You are sought after as a Data Scientist with a minimum of 5 years of experience and a solid background in Python programming and Generative AI (GenAI). Your expertise in working with GenAI models like Gemini/OpenAI, Vertex AI, BigQuery NLP, and implementing RAG-based solutions is crucial for this role. Your familiarity with GCP/Azure and modern MLOps tools will be beneficial in this position. Key Responsibilities: - Develop and implement AI/ML solutions utilizing GenAI (Gemini/OpenAI) and Vertex AI - Construct RAG (Retrieval Augmented Generation) based solutions incorporating Vector DBs, chunking, and embedding techniques - Establish and manage CI/CD pipelines for model dep...

Role Overview: As a Data Science Analyst at our company, you will be responsible for designing, building, and deploying large-scale AI/ML solutions with a focus on search applications, LLMs, and data-driven systems. You should have expertise in GCP, Vertex AI, and Generative AI to excel in this role. Key Responsibilities: - Design, build, and deploy large-scale AI/ML and data science solutions. - Manage production workloads and pipelines using GCP (Vertex AI). - Implement Generative AI models such as proprietary/custom LLMs, vector search, and fine-tuning. - Develop low-latency search applications with hybrid search, re-ranking algorithms, and embeddings. - Handle structured and unstructured...

As an experienced AI professional with 5+ years of hands-on experience in building and deploying AI solutions, ideally in fintech or financial services, you will be responsible for the following key responsibilities: - Strong coding skills in Python and familiarity with libraries like TensorFlow, PyTorch, scikit-learn, XGBoost, etc. - Experience with NLP, time series forecasting, anomaly detection, or graph ML relevant to fintech applications. - Solid understanding of MLOps concepts including model versioning, deployment, and monitoring. - Experience working with cloud platforms such as AWS/GCP/Azure and ML services like SageMaker, Vertex AI. - Familiarity with Docker, Kubernetes, or other c...

Role : GCP Architect Job Description Role & responsibilities : We have an urgent requirement for a GCP Architect, as per below JD. We are open for either contract or permanent position with us: Overall 8-10 years of experience in data engineering and AI stack 4-6 years of experience in architecting modern data warehousing solutions on Google Hands-on proficiency : Google BQ, Google Looker, Google GCS, Cloud run, Vertex Working knowledge of Databricks and Databricks Unity Catalog (GCP experience preferred) Experience in design and build solution on Vertex AI RAG, Evaluation, Agent builder for LLM apps ML flow ops with vertex AI pipelines, Model registry, CI/CD overview Experience in working w...

Join SADA, an Insight company as a Senior AI Engineer! Your Mission We're seeking a highly skilled and visionary Senior AI Engineer to pioneer and lead our AI initiatives, establishing a robust AI foundation across our organization. As the go-to expert, you'll be critical in architecting and implementing advanced AI-driven solutions, leveraging platforms like CCAIP , Vertex AI , and Generative AI to influence product roadmaps and drive innovation. This role focuses significantly on designing, implementing, and deploying sophisticated AI-powered solutions for Contact Centers (CCAI) for our clients, alongside building robust data solutions . You'll also provide essential technical leadership a...