352 Vertex Ai Jobs - Page 3

As an AI/ML Engineer at our client's company in Bengaluru, you will be responsible for designing, building, and deploying cutting-edge machine learning models and AI-driven applications that have a direct impact on business outcomes. You will collaborate with cross-functional teams, experiment with the latest advancements in AI, and bring innovative ideas to life through scalable solutions. **Key Responsibilities:** - **Model Development:** Design and implement machine learning models and algorithms for real-world applications. - **Prototyping:** Build Proof-of-Concept (POC) applications to validate new ideas and demonstrate business value. - **Data Engineering:** Preprocess, clean, and tran...

Role Overview: As the Senior Director of Data Science, Analysis, & Visualization at Alkami, you will be leading the development and scaling of advanced analytics capabilities. Your primary responsibility will involve shaping the strategy, roadmap, and execution of machine learning, predictive analytics, and business intelligence initiatives within Alkami's digital banking and marketing ecosystem. This executive role will require you to oversee three core areas: Data Science, Data Analysis, and Visualization & Reporting. Key Responsibilities: - Define and drive Alkami's strategy for data science, analytics, and reporting, aligning with corporate priorities around personalization, engagement, ...

You will play a crucial role in leading the design efforts and formulating implementation strategies for AI solutions within the CPG integrated Marketing department. Your responsibilities will involve: - Leading the development and deployment of AI-enhanced BI solutions across various cloud platforms. - Building and optimizing data pipelines, models, and dashboards to derive real-time insights. - Collaborating with architects and stakeholders to ensure alignment with business objectives. - Implementing MLOps practices to facilitate continuous integration and delivery of ML models. - Ensuring adherence to data governance, privacy, and security standards. - Mentoring junior developers to foste...

Harness is a high-growth company that is disrupting the software delivery market. Our mission is to enable the 30 million software developers in the world to deliver code to their users reliably, efficiently, securely and quickly, increasing customers pace of innovation while improving the developer experience. We offer solutions for every step of the software delivery lifecycle to build, test, secure, deploy and manage reliability, feature flags and cloud costs. The Harness Software Delivery Platform includes modules for CI, CD, Cloud Cost Management, Feature Flags, Service Reliability Management, Security Testing Orchestration, Chaos Engineering, Software Engineering Insights and continues...

Why this job matters BT has set out on of one of the largest data transformation programmes in the UK in partnership with Google. Our business units have incredibly rich data sets that are evolving rapidly as we look to deliver the next generation of Digital products and services to our customers. It doesn't matter where we look there is not a unit or process that will not benefit from using Data & Analytics, from simple management information reports through to interactive & proactive marketing messages provided to support key business applications through our single version of the truth. Key to this transformation is the creation of a data fabric for which BT has selected Ab Initio as its ...

Your key responsibilities will include - Design, implement, and manage cloud infrastructure (Azure / GCP) including compute, networking, storage, and IAM/security Design, implement and manage serverless application deployment using Cloud Run / Azure Container Service, Load Balancer, DNS, Cloud Function / Azure Function Deploy and manage data services such as BigQuery, Cloud SQL, Cloud Spanner, Synapse, Data Factory, Dataflow, Dataproc, Pub/Sub, and Data Lake solutions Build and maintain Infrastructure as Code (IaC) using Terraform for provisioning and automation Implement and optimize DevOps practices including CI/CD pipelines, GitOps, containerization (Docker, Kubernetes, GKE/AKS), and moni...

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...

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...

Job Description . Proficient in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, etc.). . Strong understanding of ML algorithms (regression, classification, clustering, NLP) . Experience with deep learning frameworks (TensorFlow, Keras, or PyTorch). . Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI is a plus. . Experience with cloud platforms such as AWS, Azure, or GCP. . Solid knowledge of data processing, feature engineering, and model tuning. . Exposure to deploying models in production using REST APIs or containerized environments (Docker, Kubernetes). Check Your Resume for Match Upload your resume and our tool will compare it to the requirements for this job li...

About the Role: We are seeking an experienced Machine Learning Engineer Manager with 8-10 years of hands-on experience in machine learning, data science, and AI development, combined with proven leadership skills. You will lead a team of talented ML engineers and data scientists to design, build, and deploy scalable machine learning solutions that drive business impact. This role involves strategic planning, cross-functional collaboration, and mentoring team members to excel technically and professionally. Key Responsibilities: Design, develop, and deploy machine learning models and algorithms for various applications. Collaborate with data scientists, data engineers, and product teams to un...

KiE Square is looking for a passionate and experienced Sr. Data Scientist to join our Analytics Consulting team. The ideal candidate shall possess a strong blend of technical expertise, analytical thinking, and business consulting skills. You will be responsible for developing and deploying scalable machine learning solutions, building end-to-end data pipelines, and translating analytical insights into actionable business strategies for our clients. Responsibilities Partner with clients to understand business challenges and identify data-driven opportunities. Design, build, and deploy end-to-end machine learning models and analytical solutions tailored to client objectives. Develop data inge...

As an AI Infrastructure Engineer (DevOps/MLOps) at Techvantage.ai, you will be responsible for building and managing the cloud infrastructure, deployment pipelines, and machine learning operations supporting our AI-powered products. Your role will involve collaborating at the intersection of software engineering, ML, and cloud architecture to ensure scalability, reliability, and production-readiness of our models and systems. **Key Responsibilities:** - Design and manage CI/CD pipelines for software applications and machine learning workflows. - Deploy and monitor ML models in production using tools like MLflow, SageMaker, Vertex AI, or similar. - Automate infrastructure provisioning and con...

Responsibilities: Develop models for prediction, classification, clustering, and other use cases. Expertise in Python, TensorFlow Strong grasp of math and statistics. Build and optimize neural networks for advanced use cases (e.g., NLP, image recognition, and GenAI). Proficiency in frameworks like TensorFlow, PyTorch Develop models for text processing, chatbots, sentiment analysis, and language generation. Design and implement generative models (GANs, VAEs, diffusion models, LLMs). Fine-tune pre-trained models like GPT, PaLM, or Stable Diffusion for specific use cases. Experiment with architectures to optimize generation quality and performance. Collect and preprocess datasets for training g...

As a Senior Associate in data analysis at PwC, you will play a crucial role in leveraging data to drive insights and support clients in making informed business decisions. Your responsibilities will include utilizing advanced analytics techniques to extract insights from large datasets, manipulating data, creating visualizations, and employing statistical modeling to solve complex business problems. Key Responsibilities: - Proven expertise in supply chain analytics including demand forecasting, inventory optimization, logistics, segmentation, and network design - Hands-on experience with optimization methods like linear programming, mixed integer programming, scheduling optimization, and usi...

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...

As an MLOps Architect at ORBCOMM, you will play a crucial role in designing and implementing the technology architecture that facilitates the deployment, scaling, and management of Generative AI and machine learning models. Your responsibilities will include: - Architecting end-to-end infrastructure and reference architectures for deploying GenAI and ML models into production environments. - Defining best practices for packaging, APIs, containerization, and Infrastructure-as-Code (IaC) patterns to enable modular and reusable deployment frameworks. - Designing and building pipelines for model training, validation, deployment, rollback, and monitoring. - Supporting both batch and real-time inf...

Job Description & Manpower Request Form Tech Lead AI & Data Services Position Title: TL- AI & Data Services Function: Technology Services Business Unit (TSBU) Location: Pune About Company: Ishan Technologies is a leading technology solutions provider dedicated to helping enterprises navigate their digital transformation journey. We specialize in building trusted, real-time, and optimized solutions that drive business outcomes. We are currently seeking a dynamic and visionary technology lead to spearhead our Artificial Intelligence and Data services vertical and shape the future of intelligent enterprises. Role Overview: We are urgently seeking a highly technical and experienced Tech Lead to ...

MNC hiring Director For Data Analytics And Insights Team for IT Pharma company Work mode: Remote If interested please send your resume to [HIDDEN TEXT] with the following details: Total years of experience: Relevant years of experience in Data Analytics: Relevant years of experience in MDM: Relevant years of experience in ETL Relevant years of experience in Pharma: Current location Current CTC Expected CTC Notice Period Is notice period negotiable Are you serving notice period If yes, mention last working date: Job Responsibilities: Lead the design, implementation, and delivery of DWH, MDM, BI, and Commercial Analytics solutions for global life sciences clients. Ensure high-quality execution...

Job Description: You will be a Senior AIML and Gen AI professional at Magellanic Cloud, working on-site in Hyderabad. Your main responsibility will be utilizing advanced AI and machine learning technologies to create innovative solutions for real-world problems. Key Responsibilities: - Utilize 6-8 years of experience in AI/ML, LLMs, RAG, and Gen AI to develop cutting-edge solutions. - Demonstrate expertise in Python, TensorFlow, PyTorch, LangChain, and Hugging Face. - Work with AWS Bedrock, AWS Nova, Azure AI, Vertex AI, and OpenAI APIs. - Implement MLOps to automate AI model deployment. - Hands-on experience with Vector DBs such as Pinecone, FAISS, and ChromaDB. Qualifications Required: - 6...

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...

Why This Role is Special Greenfield + Impact: Build GenAI-powered financial solutions from scratch with minimal legacy baggage. Enterprise-grade Scale: Your models will power risk, fraud, and personalization systems used in high-stakes fintech environments. Innovation at Core: From RAG pipelines to fine-tuned LLMs, you'll explore and deploy the latest AI techniques. End-to-End Ownership: From idea to productiondata pipelines, modeling, compliance, and observabilityyou'll drive the full cycle. Key Responsibilities: AI/ML Development: Architect and implement advanced ML systems for fraud detection, credit scoring, personalization, and risk modeling. Generative AI Solutions: Build and deploy LL...

Role & responsibilities Design, develop, and implement AI/ML models and algorithms Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions Write clean, efficient, and well-documented code Collaborate with data engineers to ensure data quality and availability for model training and evaluation Work closely with senior team members to understand project requirements and contribute to technical solutions. Troubleshoot and debug AI/ML models and applications. Stay up-to-date with the latest advancements in AI/ML. Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models. Develop and deploy AI ...

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...

As an experienced Data Engineer with expertise in Python, AWS, DBT, Airflow, Fivetran, and data streaming technologies, you will play a crucial role in building scalable, reliable, and secure data solutions. Key Responsibilities: - Develop and deploy data pipelines, both batch and streaming, into production with at least 5 years of experience. - Focus on ingesting, cleansing, and delivering high-quality data products using Google Cloud Platform (GCP). - Work with various relational SQL and NoSQL databases. - Utilize cloud-native data services, preferably Google Cloud Platform, including BigQuery, Vertex AI, Pub/Sub, Cloud Functions, etc. - Have deep expertise in one of the popular data wareh...

Job Title: Senior Data Scientist We are seeking a highly skilled Senior Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data science, with proven experience in machine learning, statistical analysis, (Gen) AI and big data technologies in the Google Cloud and Big Query platform landscape. You will lead projects from conception to deployment and collaborate with cross-functional teams spread across the globe to drive innovation and improve our data-driven decision-making processes. If you are passionate about leveraging data to solve problems and have a track record of delivering impactful data science solutions, we would love to hear from you. Rol...