job Description: AI Engineer

Requirements:

6+ years overall experience with minimum 5 years of hands-on coding in Python/PySpark and AI/ML pipeline development .

Technical Skills:

Proficiency in ML Libraries (NumPy, pandas, scikit-learn).

Experience in data preprocessing, cleaning, transforming, and augmenting datasets.

Hands-on experience with AWS GIS (Glue Interactive).

Experience with AWS Bedrock and Claude (LLMs) for GenAI use cases.

Familiarity with Vector Databases (e.g., FAISS, Pinecone).

Experience in Generative AI framework development.

Strong understanding of AI Stack Architecture.

Experience in real-time model prediction and batch data processing.

Proficiency in Exploratory Data Analysis (EDA) using matplotlib, seaborn.

Version control experience using Git.

Code efficiency & optimization (vectorization, concurrency where needed).

Familiarity with Docker or similar containerization tools.

CI/CD pipeline integration (Git-based CI/CD workflows).

Cloud knowledge: AWS Lambda, API Gateway, AWS Glue, Athena, S3, Iceberg, Azure AI Studio.

Strong communication skills and fraud domain knowledge preferred.

Artificial Intelligence Engineer