AL/ML Engineer - Generative AI

Skills
• AIML Generative AI (LLM Models), NLP, Predictive Analysis
Tech Stack
• Python, TensorFlow, Langchain
Cloud AI Services
• AWS SageMaker, Azure ML
Microservices Architecture
Language
• Python
Databases
• Postgres, RDS
NoSQL DB
• MongoDB, Cosmos, DynamoDB
Data Models
• ETL Processing
• SQL knowledge
• How to use Data Lakes
CI/CD & DevOps
• DevOps pipeline set-up with Ansible
• Infrastructure as Code (IaC): Terraform, AWS CloudFormation

Cloud DE Job Description
• Must have strong working knowledge in AI Cloud projects, delivering AI Applications using Generative AI LLM models. Azure is preferred.
• Hands-on experience in working on data ingestion, transformation, aggregation, data lineage, data quality, and building AI LLM models on top of it. Must be strong in Python, PySpark language.
• Hands-on developer who is proficient in Python and SQL. Experience with Azure services like OpenSearch, semantic models, vectorization, NLP processing, IAM, monitoring, and logging mechanisms.
• Deployment knowledge on the cloud. Integrate CI/CD pipeline to build artifacts and deploy changes to higher environments.
• Scheduling frameworks in batch applications, API Microservice architectures.
• Excellent communication skills, with the ability to work collaboratively with other teams.