Senior ML Engineer: End-to-End Pipelines & MLOps

MACHINE LEARNING TECHNOLOGIES LLC; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC seeks a seasoned Machine Learning Engineer in Atlanta to design, develop and deploy scalable ML models for diverse domains. You will handle large-scale data, build end-to-end pipelines, and collaborate with data teams to optimize performance and reliability.

Ideal candidates have 6–11 years in ML engineering, strong Python skills, and experience with TensorFlow, PyTorch, and Spark. Familiarity with MLOps, REST APIs, Docker, and cloud platforms is essential.

Qualifications

• 6–11 years of overall experience with strong focus on Machine Learning Engineering.
• Strong programming experience in Python.
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Experience with data processing frameworks (Spark, Pandas, NumPy).
• Strong understanding of ML algorithms, statistics, and model evaluation techniques.
• Experience deploying models using REST APIs, Docker, Kubernetes.
• Solid knowledge of SQL and working with large databases.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Strong problem-solving and communication skills.

Responsibilities

• Design, develop, and deploy scalable ML models for real-world business problems.
• Work with large-scale structured and unstructured datasets.
• Build and maintain end-to-end ML pipelines (data ingestion, feature engineering, model training, evaluation, and deployment).
• Collaborate closely with Data Engineers, Data Scientists, and Product teams.
• Optimize model performance, accuracy, and efficiency.
• Implement MLOps best practices including monitoring, versioning, and retraining.
• Ensure compliance with security, governance, and regulatory standards.
• Participate in code reviews, design discussions, and technical documentation.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Spark

SQL

Docker

Kubernetes

Cloud platforms

Tools

Docker

Kubernetes

Spark

Job description

MACHINE LEARNING TECHNOLOGIES LLC seeks a seasoned Machine Learning Engineer in Atlanta to design, develop and deploy scalable ML models for diverse domains. You will handle large-scale data, build end-to-end pipelines, and collaborate with data teams to optimize performance and reliability.

Ideal candidates have 6–11 years in ML engineering, strong Python skills, and experience with TensorFlow, PyTorch, and Spark. Familiarity with MLOps, REST APIs, Docker, and cloud platforms is essential.