AI/ML Engineer

Overview

Hybrid
Depends on Experience
Full Time

Skills

Amazon SageMaker
Amazon Web Services
Artificial Intelligence
Capital Market
Cloud Architecture
Communication
Conflict Resolution
Data Engineering
Machine Learning (ML)
Java
Kubernetes
Marketing
Extract
Transform
Load

Job Details

Requirements:

10+ years of experience in software development, with a focus on AI and machine learning.
Proven experience in marketing and capital markets domains, understanding their unique challenges and requirements.
Strong programming skills in Python, Java, or other relevant languages.
Familiarity with cloud architecture and deployment strategies, particularly AWS.
Excellent problem-solving skills and the ability to work independently and as part of a team.
Strong communication skills, both written and verbal.

Preferred Qualifications:
Experience with AWS AI and ML services, including Amazon SageMaker, Amazon Rekognition, and Amazon Comprehend.
Knowledge of data engineering and ETL processes.
Experience with containerization technologies such as Docker and Kubernetes.
Understanding of data privacy and security best practices.

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