Databricks, Snowflake, Salesforce, SAP, AWS/Azure/GCP Data Cloud Platforms
AWS SageMaker, Google AI Platform, Azure Machine Learning
Model Design and Optimization, LLMs models (OpenAI, BERT, LLaMA, Gemini etc.)
RDBMS, No SQL database, Vector DB, RAG Pipelines
AI Agent Frameworks, AI agent authentication and Deployment
AI security and compliance, Prompt Engineering
Secondary Skills:
Cloud computing, Data engineering, DevOps
Design and develop AI/ML models and algorithms
Responsibilities:
Collaborate with data scientists and engineers
Ensure scalability and performance of AI/ML systems
Requirements:
12-15 years of experience in AI/ML development
Strong expertise in AI/ML frameworks and tools
Excellent problem-solving and technical skills
Job Classification
Industry: IT Services & Consulting Functional Area / Department: Data Science & Analytics Role Category: Data Science & Machine Learning Role: NLP / DL Engineering / Architect Employement Type: Full time