Senior ML Engineer — End-to-End AI Systems Leader

ESPN; Florida; Presencial; USD 137.000 - 184.000; Jornada completa

Descripción de la vacante

ESPN is seeking a Senior Machine Learning Engineer in Orlando, FL to design, develop, train and deploy scalable ML models and data pipelines. You will own ML components end-to-end, coordinating with data science, data engineering and product teams to deliver reliable production systems.

You will lead model training, evaluation, and inference pipelines, contribute to ML platform direction, and mentor junior engineers. A strong background in ML, MLOps, and cloud services is essential.

Formación

• 5+ years of experience designing, training, and deploying ML models in production at scale.
• Experience with Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of ML fundamentals including supervised/unsupervised learning, model evaluation, and feature engineering.
• Strong expertise in MLOps practices including model versioning, experiment tracking, CI/CD for ML, and model monitoring.
• Experience with cloud-based ML services and infrastructure (e.g., AWS SageMaker, EC2, S3).
• Experience with data pipeline and orchestration tools (e.g., Airflow, Spark, Kafka).
• Familiarity with database and data storage technologies (e.g., DynamoDB, Redshift, NoSQL), containerization (Docker, Kubernetes), and data manipulation tools.
• Experience with Snowflake is required.

Responsabilidades

• Owns the design and development of ML models, pipelines, and production ML systems.
• Drives development of ML components through own and other engineers’ work.
• Develops technical solutions that meet specifications and inform future ML initiatives.
• Executes ML development projects and major model improvements.
• Develops specifications for ML components, projects, or model enhancements.
• Reviews and writes code for training, evaluation, and inference pipelines.
• Participates in setting the architectural direction for ML platforms and data infrastructure.
• Designs ML components and develops specifications for each project.
• Builds and leads end-to-end ML workflows from data ingestion to model serving.
• Coordinates with data science, data engineering, and product teams.
• Develops component tasks and ML-specific specs for each project.
• Serves as a high-level technical resource and mentor to junior ML engineers and data scientists.
• Leads team members in problem analysis, model debugging, and issue resolution.

Conocimientos

Python

ML fundamentals

CI/CD for ML

Model evaluation

Feature engineering

Supervised learning

Unsupervised learning

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

AWS SageMaker

EC2

S3

Airflow

Spark

Kafka

Docker

Kubernetes

DynamoDB

Redshift

NoSQL

Snowflake

Descripción del empleo

ESPN is seeking a Senior Machine Learning Engineer in Orlando, FL to design, develop, train and deploy scalable ML models and data pipelines. You will own ML components end-to-end, coordinating with data science, data engineering and product teams to deliver reliable production systems.

You will lead model training, evaluation, and inference pipelines, contribute to ML platform direction, and mentor junior engineers. A strong background in ML, MLOps, and cloud services is essential.