Machine Learning Engineer

Forbes Technical Consulting is a global enterprise focused on transforming customer experiences through data-driven decisions and intelligent automation. They are seeking a Machine Learning Engineer to lead the development of algorithmic products that enhance personalization and operational efficiency.

Responsibilities:

• Partner with data scientists to design and build end-to-end ML product architectures spanning real-time streaming and offline batch processing pipelines
• Develop prototype solutions leveraging AWS services with appropriate consideration for scale and latency
• Productionize ML solutions using infrastructure-as-code patterns
• Build and enhance Feature Store pipelines including data ingestion, cleansing, and imputation logic
• Collaborate with data engineering teams to ensure data is delivered in the right format and cadence for maximum model impact
• Partner with data architecture, governance, and security teams to ensure solutions meet enterprise standards
• Stay current with the latest AWS services and ML engineering design patterns

Requirements:

• 5+ years of experience implementing software product solutions in a cloud environment with a focus on ML/algorithmic products
• Expertise in AWS cloud services
• Strong proficiency in Python, SQL, PySpark, and Docker
• Experience with streaming and batch data architectures at scale
• Familiarity with DevOps, CI/CD, and Agile methodologies
• Strong communication skills and a collaborative, team-first mindset
• Master's degree in Computer Science, Software Engineering, or a related field required