352 Vertex Ai Jobs

You will be joining Albertsons Companies as an Advance Data Infrastructure Engineer with a focus on DevOps practices and data platform engineering. Your role will involve deploying, managing, and optimizing scalable, secure, and cost-effective data infrastructure on Azure and Google Cloud Platform (GCP). You will also configure and govern Databricks environments, build Vertex AI pipelines, orchestrate data pipelines using Azure Data Factory and Databricks Workflows, and automate infrastructure provisioning using tools like Terraform and ARM templates. Additionally, you will play a key role in setting up monitoring, alerting, and incident response processes to ensure platform reliability. **K...

As a Senior Data Scientist / Machine Learning Engineer, your role will involve designing, building, and deploying advanced machine learning and generative AI solutions to drive business value. This position requires a blend of deep technical expertise in data science, software engineering, and MLOps, along with strategic thinking. **Key Responsibilities:** - Design, develop, and deploy advanced machine learning and statistical models to address complex business problems. - Build, optimize, and maintain end-to-end ML pipelines, including data ingestion, preprocessing, feature engineering, model training, evaluation, and production deployment. - Lead Generative AI initiatives, leveraging LLMs,...

Job Summary: Solution Architect with deep proficient knowledge in Google Cloud Platform (GCP) and AI services to lead the design and deployment of intelligent, scalable, and secure cloud solutions. You'll play a pivotal role in shaping our cloud and AI strategy, bridging business needs with technical execution and driving innovation across the organization. Key Responsibilities: Architect and implement end-to-end solutions using GCP services, with a focus on AI and machine learning capabilities. Collaborate with stakeholders to gather requirements and translate them into scalable, intelligent architectures. Lead cloud migration and modernization initiatives, integrating AI-driven components ...

Key Responsibilities: 1. Data Analysis and Modelling: Analyse large-scale datasets from web and mobile applications (including React-based systems) to identify trends, patterns, and actionable insights. Design and develop machine learning, predictive, and statistical models to solve complex business challenges such as churn prediction and customer segmentation. Validate and refine model performance using suitable evaluation metrics to ensure accuracy, reliability, and business relevance. 2. Data Collection and Integration: Collect and preprocess data from multiple sources, including Firebase services (Firestore, Firebase Analytics), ensuring data quality and consistency. Integrate disparate ...

Description Senior Data Scientist (Machine Learning Engineer) Role Overview We are seeking a highly skilled Senior Data Scientist / Machine Learning Engineer to design, build, and deploy advanced machine learning and generative AI solutions that drive business value. This role blends deep technical expertise with strategic thinking, requiring hands-on experience in data science, software engineering, and MLOps. Key Responsibilities Machine Learning & Data Science : Design, develop, and deploy advanced machine learning and statistical models to address complex business problems. Build, optimize, and maintain end-to-end ML pipelines, including data ingestion, preprocessing, feature engineering...

Job Description Roles &Responsibilities: Design, build, and maintain data pipelines and ETL/ELT workflows for structured and unstructured data sources. Develop, train, validate, and deploy machine learning and AI models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Collaborate with data engineers, business analysts, and product managers to translate analytical requirements into production-grade models and APIs. Optimize data processing performance and model inference pipelines for scalability and cost-efficiency (preferably on cloud platforms such as AWS, Azure, or GCP). Work with data visualization and BI teams to enable analytics dashboards that surface insights from AI mo...

Job Title: AI Engineer Experience: 38 Years Location: Chennai Notice Period: Immediate Joiners Only About the Role: We are seeking a Sr AI Engineer with strong hands-on experience in building and deploying AI/ML models. The ideal candidate will focus on developing Proof of Concept (POC) applications and implementing AI-driven solutions on Google Cloud Platform (GCP). This is an exciting opportunity to work with cutting-edge technologies like Vertex AI and Google Gemini in a collaborative, fast-paced environment. Key Responsibilities: Design, develop, and implement AI/ML models and algorithms. Build Proof of Concept (POC) applications to validate AI use cases. Write clean, efficient, and well...

Machine Learning / Deep Learning Python (TensorFlow, Keras, Scikit-learn, PyTorch) Google Cloud Platform (Vertex AI, BigQuery, AI/ML Services) Model Deployment & MLOps (CI/CD, Kubernetes) Data Analytics & Statistical Analysis

Position Overview Job Title: DevOps Engineer, AVP Location: Pune, India Role Description We are seeking a highly skilled and experienced DevOps Engineer to join our team, with a focus on Google Cloud as we migrate and build the financial crime risk platforms on the cloud. The successful candidate will be responsible for designing, implementing, and maintaining our team's infrastructure and workflows on Google Cloud Platforms. This is a unique opportunity to work at the intersection of software development, infrastructure management and to contribute to the growth and success of our team. DevOps Engineer is responsible for managing or performing work across multiple areas of the bank's overal...

Day-to-Day Responsibilities As the AI and Automation Strategist at White Label IQ, you will lead the adoption and implementation of AI-powered solutions across all departments, ensuring the company embraces an AI-first culture. Your work will focus on making our teams faster, smarter, and more efficient by embedding AI into daily workflows, client deliverables, and internal systems.You will: Identify and assess opportunities to implement AI tools, automations, and LLM-powered solutions across departments including Sales, Project Management, Development (PHP, HTML, WordPress), QA, SEO, and HR. Design, build, and maintain workflows using n8n or similar low-code/no-code automation tools for tas...

Responsibilities: * Design, develop & deploy generative AI models using Python & MCP. * Optimize vector-based neural networks for efficient data processing.

We are seeking a Mid-Level AI Engineer with 3-8 years of hands-on experience in designing, developing, and deploying AI/ML models and solutions The ideal candidate will focus on building Proof of Concept (POC) applications that demonstrate the feasibility and business value of AI-driven solutions This role involves working with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn, and leveraging Google Cloud Platform (GCP) tools including Vertex AI and Google Gemini for model training, deployment, and integration The candidate should possess strong Python programming skills, solid understanding of data preprocessing, feature engineering, and model optimization, and the a...

This is For Ongoing Contract Role. Work from Office 2 Days a Week. Job Location: Bangalore Role & responsibilities Must have: Strong on programming languages like Python, Java One cloud hands-on experience ( GCP preferred) Experience working with Dockers Environments managing (e.g venv, pip, poetry, etc.) Experience with orchestrators like Vertex AI pipelines, Airflow, etc Understanding of full ML Cycle end-to-end for majorly NLP projects Data engineering, Feature Engineering techniques Experience with ML modelling and evaluation metrics Experience with Tensorflow, Pytorch or another framework Experience with Models monitoring Advance SQL knowledge API development eg. Fast api etc Aware of S...

As a Lead/Architect in the AI/ML field, your role will involve: - Solutioning Enterprise level AIML/GenAI/Cloud stack/Dev/ML Ops. - Platform Development and Evangelism: - Building scalable AI platforms that are customer-facing. - Evangelizing the platform with customers and internal stakeholders. - Ensuring platform scalability, reliability, and performance to meet business needs. - Machine Learning Pipeline Design: - Designing ML pipelines for experiment management, model management, feature management, and model retraining. - Implementing A/B testing of models. - Designing APIs for model inferencing at scale. - Demonstrating expertise with MLflow, SageMaker, Vertex AI, and Azure AI. - LLM ...

Job Description We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves, and build a better world together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves At Ford Motor Credit Company, we are modernizing our enterprise data warehouse in Google Cloud to enhance data, analytics, and AI/ML capabilities, improve customer experience, ensure regulatory compliance, and boost operational efficiencies. As a Senior Data Engineering Manager, you will lead a team responsible for the strategic development and delivery of data products and application support. You will oversee the integration of da...

Job Description As a Senior Data Engineering Manager, you will lead a team responsible for the strategic development and delivery of data products. You will oversee the integration of data from various sources, guiding the evolution of our analytical data landscape, including the merging of historical data from legacy platforms with data ingested from new platforms. Your role involves directing the analysis and manipulation of large datasets, ensuring the activation of data assets to enable enterprise platforms and analytics within Google Cloud Platform. You will also lead the design and implementation of data transformation and modernization initiatives on Google Cloud Platform, ensuring th...

DevOps Engineer, AVP Position Overview Job Title: DevOps Engineer, AVP Location: Pune, India Role Description We are seeking a highly skilled and experienced DevOps Engineer to join our team, with a focus on Google Cloud as we migrate and build the financial crime risk platforms on the cloud. The successful candidate will be responsible for designing, implementing, and maintaining our team's infrastructure and workflows on Google Cloud Platforms. This is a unique opportunity to work at the intersection of software development, infrastructure management and to contribute to the growth and success of our team. DevOps Engineer is responsible for managing or performing work across multiple areas...

Job Description We are looking for a highly experienced Senior or Lead Backend Engineer with a strong background in Java software development, cloud architecture, and DevOps practices. The ideal candidate will have deep hands-on experience in Java-based microservice frameworks such as Spring or Quarkus, serverless technologies such as AWS Lambda, Azure Functions or Google Cloud Functions, container orchestration, and CI/CD automation, along with a strong foundation in modern programming languages. Responsibilities Cloud-Native Development Serverless Focus: proficient in modern Java, extensive experience in developing Java cloud applications, with a focus on microservice frameworks and server...

Platform Engineer (DevOps + GCP + Python) Location: Chennai, Bangalore, Hyderabad Work Mode: Hybrid Employment Type: Full-time Employee Openings: 10+ About the Role Our client, a global digital transformation leader, is seeking Platform Engineers to strengthen its Machine Learning and Analytics platforms. The role blends DevOps, automation, and software engineering to support enterprise-scale AI adoption. Key Responsibilities Design and operate ML and analytics platforms on GCP Build CI/CD pipelines and infrastructure automation using Terraform Integrate GKE, BigQuery, Cloud Build, and Vertex AI Collaborate with data science and platform engineering teams Technical Skills Proven experience i...

Role & responsibilities Position: - Senior MLOps / AIOps Platform Engineer Experience: - Minimum 5 years relevant in MLOps / AIOps Location: Hybrid Remote (1 day / week from office) Preferred candidate profile Any profile which does not proper project timelines (start date, end date & duration) and not aligning with employment timelines will be directly screen-rejected without any explanation Required Qualifications Experience 5+ years in MLOps, DevOps , Platform Engineering, or Infrastructure Engineering. 2+ years applying DevSecOps practice s (secure CI/CD, vulnerability management, policy enforcement). Hands-on experience configuring and managing enterprise AI/ML platforms (IBM watsonx, G...

You are an experienced Data Scientist with expertise in ML/DL, model lifecycle management, and MLOps tools such as MLflow and Kubeflow. You are proficient in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models. Your strong experience in NLP, fine-tuning transformer models, and dataset preparation will be valuable. Key Responsibilities: - Design and implement end-to-end ML pipelines from data ingestion to production - Develop, fine-tune, and optimize ML models for high performance and scalability - Compare and evaluate models using key metrics such as F1-score, AUC-ROC, and BLEU - Automate model retraining, monitoring, and drift detection - Collaborate with engineering teams to...

This role will be pivotal in enabling seamless integration of Bio-Rad's global planning processes across manufacturing, demand, and supplywhile supporting continuous improvements in digital planning capabilities. The BSA will work closely with business stakeholders, supply chain planners, and IT delivery teams to ensure that system solutions align with strategic business needs and deliver measurable value in terms of efficiency, reliability, and scalability. How The Candidate Will Make An Impact Support the design and improvement of demand planning, supply planning, Partner with Global Supply Chain, Manufacturing, and Planning teams to translate business needs into functional and technical r...

Role- GCP Data Engineer Experience- 6+ Years Mandatory skiils- Experience on cloud projects, code migration to Google cloud, Knowledge of GKE, Big Query, Vertex AI Location- Remote (India) Requirements: Strong Experience in SQL Experience on Cloud Projects, ETL Tools, Cloud (Preferably GCP) Experience in Database migration and Cloud migration Experience on cloud projects, code migration to Google cloud, Knowledge of GKE, Big Query, Vertex AI

Join Our Team! Were Hiring: AIML Engineer. Job Location: Noida (Sector-63) About Us: Founded in 2000, Chetu is a global leader in providing tailored software development solutions and support services. Chetu's dedicated team of technology professionals offers an extensive array of software solutions, including custom application development, enterprise software integration, mobile app development, cloud computing solutions, IOT (Internet of Things) development, artificial intelligence and machine learning solutions, blockchain development, cybersecurity services, data analytics solutions, ERP (Enterprise Resource Planning) implementation, CRM (Customer Relationship Management) customization,...

As an AI Engineer at Sundew, your role will involve designing, building, and deploying AI-driven solutions, leveraging ML frameworks, programming expertise, and cloud platforms to drive innovation and deliver transformative value to global clients. Key Responsibilities: - Develop and deploy machine learning and deep learning models. - Collaborate with data engineers to prepare and optimize datasets. - Build scalable model training and inference pipelines. - Evaluate and fine-tune model performance. - Integrate AI solutions into products and internal systems. - Stay updated with the latest AI research and tools. Qualifications Required: - Proficiency in Python with ML libraries (TensorFlow, P...