361 Vertex Ai Jobs - Page 15

!!Mega Walk In Drive!! Hiring Data Scientist (Walk In Interview) 4D Global Medical Billing Services Minimum 2 years of Experience in data science, machine learning, and AI model training. Strong skills in Python, TensorFlow, Hugging Face Transformers, and Google Vertex AI. Prior experience in RCM, healthcare data, or insurance analytics is a strong plus. CONTACT PERSON - HR Lissy(9952221050)HR Sneha(9344656213)HR Naveen(6381271323)

Designation: AI/ML Engineer Experience : 2 - 5 years exp Education : Bachelor's or Master's in Computer Science, AI/ML, Data Science, or related fields Job Location: Navi Mumbai (Onsite) Role. Key Responsibilities: Design and develop AI/ML models for OCR, focusing on handwritten, printed, and multi-language documents. Train and fine-tune custom OCR models using frameworks like TensorFlow, PyTorch, or Google Vertex AI, etc. Integrate OCR solutions into a browser-based platform using Node.js (backend) and React.js (frontend). Preprocess and analyze scanned or photographed documents to improve text recognition accuracy using tools like OpenCV. Evaluate and compare third-party OCR services (e.g....

ML/AL Gen AI Expert - Vertex AI on Google Cloud and MLOps . • GenAI tools & APIs with PaLM, Gemini, LLM ,Vertex Ai • Python Scripting scikit-learn, TensorFlow, PyTorch, LangChain. • GCP services •media domain (OTT, DTH, Web)

Role & responsibilities Role: GCP Vertex AI Engineer Exp - 5 - 12 years of handson experience with Generative AI AI ML and Data Science technologies. Job Details: Extensive handson experience in implementing end to end projects utilizing GenerativeAI. Experience in building production grade solutions utilizing GenerativeAI as well as AI and ML components Extensive handson experience in building GenerativeAI application using methodologies such as RAG prompt engineering embedding fine tuning etc Experience in working with structured as well as unstructured data for building RAG based solutions Hands on experience in working with cloud AI services GCP Vertex AI Azure AI AWS Bedrock as well as ...

We're Hiring | ML Engineer @ Leading MNC! Role: Machine Learning Engineer Location: Remote Experience: 5+ Years Who Are We Looking For? A seasoned ML Engineer passionate about building scalable ML solutions using GCP and Vertex AI , and who thrives in a collaborative Agile environment. Key Responsibilities Stay in sync with squad activities to spot improvement and collaboration opportunities Collaborate with Chapter Lead & Tech Lead to set goals Uphold Agile & Scrum best practices Maintain Chapter standards across squads Lead/Support Inception workshops Coach junior & mid-level team members Bring thought leadership & stay on top of industry trends If you are intrested kindly share your cv - ...

Role & responsibilities Expertise in LLMs, multi-ai-agentic systems, and AI reasoning frameworks. Hands-on experience with Langchain, Lang Graph, CrewAI Strong programming skills in Python for AI development. Familiarity with ReAct prompting, Chain-of-Thought reasoning, and AI fine-tuning. Experience with Google Cloud, Vertex AI, and CI/CD automation. Ability to evaluate AI model performance, scalability, and efficiency. Knowledge of multi-agent coordination, reinforcement learning, and distributed AI. Ability to evaluate models and write evaluation code Strong problem-solving skills for AI system optimization and troubleshooting Location: Pune, Chennai, Bangalore, Hyderabad Contact Person: ...

Google Cloud Platform experience Experience working with ML on vertex AI pipelines Strong CICD knowledge Experience working with Personally Identifiable Information (PII) data Willing to work in Australian shift

Job Description Generative AI Engineer LLM Development & Fine-Tuning – Fine-tune and retrain Large Language Models (Falcon, LLaMA, Palm2, etc.) for domain-specific use cases, ensuring optimized performance and accuracy. Custom AI Agent Development – Design, build, and deploy custom AI agents and multi-agent systems using tools like Agentspace Vertex AI and ADK, enabling complex enterprise workflows. RAG & Knowledge Retrieval – Implement Retrieval-Augmented Generation pipelines with vector databases (Pinecone, Waviate, Chroma, FAISS) for efficient knowledge search and integration. Integration with Enterprise Systems – Build and manage integrations with Salesforce, SharePoint, Jira, ServiceNow...

Job Summary We are looking for a visionary and hands-on Cloud Architect to join our Enterprise Architecture team. This role requires deep expertise in cloud-native architecture, AI-native infrastructure, and multi-cloud design. You will lead cloud transformation journeys, architect scalable and secure platforms, and integrate AI capabilities into enterprise ecosystems. Ideal for architects who thrive in fast-paced, customer-facing roles with a strong focus on innovation, governance, and modernization. Key Responsibilities Design and implement cloud-native architectures using AWS, Azure, or GCP. - Architect and integrate AI-native services (e.g., Vertex AI, Azure OpenAI, AWS SageMaker) into e...

We are hiring Machine Learning Engineer for an MNC (Direct,Fulltime role) Location : Remote (Work From Home) Experience : Minimum 4+ Years Machine Learning Engineer Key Responsibilities: Design, build, and maintain ML pipelines using Vertex AI on GCP. Implement and manage CI/CD pipelines to support ML model deployment. Work with sensitive data, including Personally Identifiable Information (PII), ensuring compliance with data privacy standards. Collaborate with cross-functional teams to deliver scalable ML solutions. Required Skills: Proven experience with Google Cloud Platform (GCP) services. Strong expertise in Vertex AI and ML pipeline orchestration. Deep understanding of CI/CD best pract...

Job Description: Join DigiAlly , a cutting-edge fintech innovator enabling digital trust between SMEs and financial institutions across India and Southeast Asia using Generative AI , LLMs , and behavioral intelligence platforms . We are hiring a Senior Generative AI Engineer to lead the development of AI copilots , prompt/RAG workflows , and LLM-integrated decision systems using platforms like Amazon Bedrock and Google Vertex AI . Key Responsibilities: Design & optimize LLM prompts and context flows for fintech use cases. Build retrieval-augmented generation (RAG) systems using LangChain, LangFlow, Semantic Kernel. Integrate GenAI outputs with structured ML signals (fraud detection, risk sco...