Sr ML Engineer

Conch Technologies Inc; Town of Florida (NY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Conch Technologies Inc is seeking a Sr ML Engineer for a 6+ month contract in a hybrid setting in Davie, FL. The role requires 8+ years in ML engineering and 3+ years in lead/ senior tech leadership, with proven delivery of production-grade ML systems.

Candidates should be proficient with Databricks, MLflow, Python, and ML frameworks (TensorFlow, PyTorch, Scikit-learn), as well as real-time inference architectures and ML lifecycle management.

Qualifications

• 8+ years of Machine Learning Engineering or Applied AI experience.
• 3+ years in a Lead, Principal, or Senior Technical Leadership role.
• Proven experience delivering production-grade machine learning systems.
• Strong expertise with Databricks, MLflow, Python and ML frameworks.

Responsibilities

• Lead development of production-grade ML solutions across the lifecycle.
• Collaborate with Data Engineering to design ML-ready datasets.
• Architect scalable ML systems including real-time inference architectures.

Skills

Databricks

MLflow

Python

TensorFlow

PyTorch

Scikit-learn

Real-time inference

Feature engineering

ML lifecycle management

Data engineering collaboration

Recommendation systems

Personalization engines

Predictive analytics

Customer intelligence platforms

Job description

Position: Sr ML Engineer

Location: Davie, FL (Hybrid)

Duration: 6+ month contract

Required Qualifications

• 8+ years of Machine Learning Engineering or Applied AI experience.
• 3+ years in a Lead, Principal, or Senior Technical Leadership role.
• Proven experience delivering production-grade machine learning systems.
• Strong expertise with:
• Databricks
• MLflow
• Python
• Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-learn)
• Real-time inference architectures
• Experience building:
• Recommendation systems
• Personalization engines
• Predictive analytics solutions
• Customer intelligence platforms
• Deep understanding of feature engineering and ML lifecycle management.
• Experience partnering with Data Engineering teams to design ML-ready datasets.

Preferred Qualifications

• Customer 360 implementation experience.
• Identity Graph experience.
• Hospitality, Gaming, Entertainment, Retail, Loyalty, or Consumer Digital experience.