Sr Machine Learning Engineer

1976 Walt Disney Attractions Technology LLC; Orlando (FL); On-site; USD 135,000 - 181,000; Full time

Job summary

DX Technology in Orlando, FL is seeking a Sr Machine Learning Engineer to own the design, development, training, and deployment of scalable ML models and pipelines. You will guide a team of ML engineers and coordinate with data science, data engineering, and product teams to deliver robust ML solutions.

The role requires 5+ years in production ML, strong Python and ML framework skills, and solid MLOps experience.

Qualifications

• 5+ years of experience designing, training, and deploying ML models in production at scale.
• Proficiency in Python and ML frameworks (TensorFlow/PyTorch/scikit-learn).
• Strong understanding of ML fundamentals and MLOps (CI/CD, monitoring).

Responsibilities

• Own design and development of ML models, pipelines, and production ML systems.
• Drive ML component delivery across engineers and teams.
• Develop specifications for ML components and model enhancements.
• Review code for training, evaluation, and inference pipelines.
• Lead architecture for ML platforms and data infrastructure.

Skills

Python

ML frameworks (TensorFlow/PyTorch/scik

ML fundamentals

MLOps/CI-CD for ML

Cloud ML services (AWS SageMaker)

Data pipelines/orchestration (Airflow,

NoSQL/SQL concepts

Education

Bachelor’s degree in CS/Stats/Math

Tools

Docker

Kubernetes

Snowflake

DynamoDB

Redshift

Job description

Job Posting Title: Sr Machine Learning Engineer Req ID: 10154204 Job Description: The Senior Machine Learning Engineer applies practical knowledge of machine learning, data science, and software engineering to conceive, design, develop, train, and deploy ML models, pipelines, and systems of moderate to high complexity. The Senior Machine Learning Engineer owns the design and development of ML solutions and drives their delivery through their own and other engineers’ work. The Senior Engineer provides technical guidance and acts as a point of escalation and as a machine learning expert. The Senior Machine Learning Engineer designs and develops highly scalable ML systems and data pipelines.

Responsibilities

• Owns the design and development of machine learning models, pipelines, and production ML systems.
• Drives development of ML components through own and other engineers’ work.
• Develops technical solutions that meet specifications and that inform future ML initiatives.
• Executes assigned ML development projects and major model improvements using new or existing technologies.
• Develops specifications for assigned ML components, projects, or model enhancements.
• Reviews and writes code for model training, evaluation, and inference pipelines.
• Participates in setting the architectural direction for ML platforms and data infrastructure.
• Designs specific ML components for assigned projects, developing specifications for each.
• Able to build and lead end-to-end ML workflows from data ingestion through model serving.
• Interacts and coordinates deliverables with data science, data engineering, and product teams across the organization.
• Designs and develops ML system specifications for assigned projects.
• Designs component tasks for assigned projects, developing ML-specific specifications for each.
• Serves as a high-level technical resource and “go-to” person for less experienced ML engineers and data scientists, providing technical guidance and oversight.
• Leads team members in problem analysis, model debugging, and issue resolution.

Basic Qualifications

• 5+ years of relevant experience designing, training, and deploying machine learning models in production environments 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.

Preferred Qualifications

• Experience with large-scale recommendation systems, personalization, NLP, or computer vision.
• Experience with real-time ML inference and low-latency serving architectures.
• Familiarity with LLMs and generative AI integration in production systems.
• Experience with Java (e.g., Spring Boot) is a plus.

Required Education

Bachelor’s degree in Computer Science, Statistics, Mathematics, or similar field, or related work experience.

The hiring range for this position in Florida is $135,200.00-$181,200.00 per year.

The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors.

A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment: DX Technology

Job Posting Primary Business: Commerce

Job Posting Primary Job Posting Category: Machine Learning

Employment Type: Full time

Primary City, State, Region, Postal Code: Orlando, FL, USA

Alternate City, State, Region, Postal Code:

Date Posted: 2026-06-29

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