Engineer Senior Engineer - Machine Learning AI Platform

Overview

Senior Engineer focused on building ML platforms.

Responsibilities

• Design, develop, and deploy machine learning models for classification, prediction, anomaly detection, and intelligent automation.
• Build and maintain scalable data pipelines for model training, evaluation, and real-time/batch inference.
• Optimize ML models and pipelines for performance, scalability, reliability, and cost efficiency.
• Collaborate with cross-functional teams to integrate ML solutions into core platform features and services.
• Conduct model experimentation, evaluation, and iteration using quantitative metrics and A/B testing as needed.
• Implement model observability, monitoring, and drift detection to ensure production reliability.
• Stay current with advancements in machine learning, AI, and LLM technologies and apply them to product use cases.
• Own engineering initiatives end-to-end and help foster a culture of high ownership, continuous improvement, and engineering excellence.

Qualifications

• 5–10 years (Engineer) or 10–18 years (Senior Engineer) experience in machine learning engineering or data science roles.
• Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
• Solid understanding of machine learning algorithms, statistics, and model evaluation techniques.
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
• Hands-on experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, and deployment.
• Knowledge of text embedding models and vector databases for Retrieval Augmented Generation (RAG) systems.
• Strong problem-solving skills and the ability to collaborate effectively in Agile teams.
• Highly motivated, adaptable, and eager to learn new technologies.
• Knowledge of real-time inference architectures and model monitoring systems.
• Company notes
• Omnissa is the digital work platform leader, trusted by thousands of organizations worldwide as the former VMware End User Computing business. We make digital work, work — delivering a seamless digital employee experience that simplifies work and enables secure, personalized experiences for every employee on any device.
• Recognitions: 2025 Digital Workplace Company of the Year; 2025 InfoWorld Awards Finalist – App Volumes; Remote Tech Breakthrough Award Winner – Digital Workplace Company of the Year; CRN Product of the Year Finalist – Omnissa Horizon (DaaS).
• Equal opportunity
• Omnissa is committed to building a workforce that reflects the communities we serve. We hire based on merit and provide equal opportunity for all.