Artificial Intelligence Engineer

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 (Num Py, 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.