Senior Software Engineer (Security Enablement – Agentic AI) As a Senior GenAI Developer, you will be responsible for designing, developing, and integrating advanced Generative AI capabilities with security platforms and applying data science techniques to improve decision-making
About the Role Our client is seeking a Senior Python AI Engineer to lead the design, development, and delivery of production-grade Generative AI and agentic AI solutions for global clients. This role requires strong expertise in Python engineering,
Role Overview: Define and operationalize the security posture and governance framework for all GenAI initiatives. Act as the primary liaison between AI engineering and legal/compliance teams. Key Responsibilities Guardrail Architecture: Design and implement systemic safeguards (e.g., NeMo
Total years of exp : 7 Years Location : Banglore, chennai . gurgaon = Work Mode : Hybrid Notice period : 30 days ( 90 /60 days negotiable cases will not work, serving candidate can apply)
Role Overview: Design and deploy enterprise-grade AI solutions (LLMs, RAG, agents) by selecting appropriate models, building data pipelines, and integrating them with cloud platforms (AWS, Azure, GCP). Lead technical strategies, ensure scalability, manage AI security/ hallucinations,
Role Overview: Define and operationalize the security posture and governance framework for all Gen AI initiatives. Act as the primary liaison between AI engineering and legal/compliance teams. Key Responsibilities Guardrail Architecture: Design and implement systemic safeguards
Role Overview: Design and deploy enterprise-grade AI solutions (LLMs, RAG, agents) by selecting appropriate models, building data pipelines, and integrating them with cloud platforms (AWS, Azure, GCP). Lead technical strategies, ensure scalability, manage AI security/ hallucinations,
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your
Data Scientist - Gen AI, NLP, Databricks India, Remote Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your
THIS IS A LONG TERM CONTRACT POSITION WITH ONE OF THE LARGEST GLOBAL TECHNOLOGY LEADERS. THIS IS A LONG TERM CONTRACT POSITION WITH ONE OF THE LARGEST, GLOBAL, TECHNOLOGY LEADER. Client is seeking a highly skilled
Must Haves: -3+yrs Python experience for data engineering and backend development - API building using FastAPI - Azure AI Search for building scalable search and retrieval solutions - Strong SQL expertise Day to Day: This person will
Desired Competencies (Technical/Behavioral Competency) Experience in implementing End to End machine learning and deep learning solutions for real-world applications. Design,implement & Scale GenAI Solutions using the state of the art tools/Frameworks Proficiency in GenAI & ML frameworks (e.g.,
Required Skills & Experience -5+ years of experience in QA / Quality Engineering. -2+ years testing AI systems including LLM apps, RAG pipelines, and agentic workflows. -Python proficiency for automation, test harnesses, and evaluation development. -Experience testing
DETAILED JOB DESCRIPTION Design, build, and deploy scalable AI/ML and GenAI solutions on AWS. The role requires strong hands-on expertise in machine learning, deep learning, LLM integration, and production-grade model deployment in cloud environments. Key Responsibilities Design
Role : ML OPS Lead Engineer Job Mode : Remote Experience : 7+ Years Notice Period : Immediate / 10 to 15 Days Experience Required: 7+ years in platform or infrastructure engineering with significant experience in
Job Role : - ML Ops Lead Job Location: - India Job Type : - Remote Experience : -7+ Years Roles & Responsibilities: - Design, deploy, and manage scalable, secure, and automated ML/AI platforms across Azure