Senior ML Engineer: Lead Production-Scale ML & Pipelines

Aimlroles; Orlando (FL); On-site; USD 137,000 - 184,000; Full time

Job summary

DX Technology in Orlando, FL is seeking a Sr. Machine Learning Engineer to design, train, and deploy scalable ML models and data pipelines. You will own ML components and drive delivery with a team of engineers, providing technical guidance and mentoring.

The role emphasizes building end-to-end ML workflows and collaborating with data science, data engineering, and product teams across the organization. A strong ML foundation and practical production experience are required.

Qualifications

• 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.

Responsibilities

• 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 for ML initiatives.
• Executes ML development projects and major model improvements using new or existing technologies.
• Develops specifications for assigned ML components or models.
• Reviews and writes code for training, evaluation, and inference pipelines.
• Participates in setting architectural direction for ML platforms and data infrastructure.
• Designs ML components for assigned projects with specifications.
• Builds and leads end-to-end ML workflows from data ingestion to model serving.
• Interacts with DS, DE, and product teams across the org.
• Designs system specifications for projects.
• Designs component tasks with ML-specific specs.
• Serves as high-level technical resource for junior ML engineers and data scientists.
• Leads team in problem analysis, debugging, and issue resolution.

Skills

Python

ML frameworks

MLOps

Cloud services

Data pipelines

Docker/Kubernetes

Snowflake

Education

Bachelor's degree in CS/Stats/Math

Tools

Docker

Kubernetes

Airflow

Spark

Kafka

SQL/NoSQL databases

Job description

DX Technology in Orlando, FL is seeking a Sr. Machine Learning Engineer to design, train, and deploy scalable ML models and data pipelines. You will own ML components and drive delivery with a team of engineers, providing technical guidance and mentoring.

The role emphasizes building end-to-end ML workflows and collaborating with data science, data engineering, and product teams across the organization. A strong ML foundation and practical production experience are required.