MLOPs Engineer

Title: MLOPs Engineer

Location: Hybrid Role (South Florida Preferred)

Duration: 6+ Months (Must be able to convert FTE WITHOUT SPONSORSHIP)

Required Skills:

• 8+ years of Machine Learning Engineering or applied AI experience.
• 3+ years in Lead, Principal, or senior technical leadership roles.
• Strong hands-on Python development for production-grade machine learning solutions.
• Advanced experience with Databricks, MLflow, and distributed machine learning workloads.
• Expertise with TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks.
• Proven experience building and deploying large-scale recommendation engines.
• Strong experience developing customer personalization and customer intelligence solutions.
• Experience with customer segmentation, churn prediction, and customer value models.
• Strong understanding of Customer 360 platforms and unified customer data.
• Experience using identity graphs to improve customer matching and prediction accuracy.
• Strong feature engineering, model evaluation, validation, and lifecycle management experience.
• Experience designing scalable batch and real-time inference architectures.
• Proven experience deploying, monitoring, and retraining machine learning models in production.
• Experience partnering with Data Engineering teams to create ML-ready datasets.
• Strong architecture experience across Data Science, Engineering, and MLOps platforms.
• Experience leading technical design reviews and establishing enterprise ML standards.
• Strong mentoring, stakeholder communication, and cross-functional technical leadership skills.

Preferred Skills:

• Experience with Snowflake and integrated Databricks data environments.
• Experience building GenAI, LLM-powered, or agentic AI applications.
• Experience developing domain-specific AI agents and intelligent assistants.
• Knowledge of MLOps, feature stores, model serving, and automated retraining.

Experience with real-time recommendation and streaming personalization platforms