Description

Design, build, and deploy scalable machine learning models and data pipelines to enhance software development processes and enterprise AI solutions.

This role is on-site.

Responsibilities

• Design, optimize, and deploy AI models including computer vision, sensor fusion, and predictive maintenance onto embedded automotive hardware.
• Build and maintain scalable data pipelines to curate, secure, and prepare high-quality datasets for AI readiness.
• Implement enterprise AI solutions and integrate them with solution hosting platforms like MiDAS, Modanna, and Codemate.
• Ensure every AI use case is backed by robust data standards and accessible engineering data.

Required Skills

• 8+ years of experience in Data Engineering, Machine Learning, or AI/ML design.
• Proficiency in Python, SQL, and JavaScript.
• Experience with Docker and Apache Kafka for data pipeline orchestration.
• Strong background in Computer Vision and Natural Language Processing.
• Hands-on experience with Flask, Pandas, NumPy, and scikit-learn.
• Understanding of RESTful APIs and agile methodology.

Preferred Skills

• Experience with Java, C, or React.
• Familiarity with monitoring tools like Grafana, Prometheus, and Loki.

Key Skills

Education

Any Graduate