ML Engineer: Build ETL Pipelines & TensorFlow Deployments

Business Advisory Corp; Dothan (AL); On-site; USD 72,000 - 99,000; Full time

Benefits offered by this job

Commuter benefits

Mentor program

Job summary

Business Advisory Corp in Dothan, AL is seeking a Machine Learning Engineer to accelerate our product roadmap. We offer a salary range of $72,000 to $99,000 and opportunities to own technology decisions.

You will build ETL pipelines, translate business requirements into technical specs, and deploy TensorFlow services while collaborating with remote teams. A strong portfolio and ML-driven mindset are preferred.

Join a craft-focused team that values practical, hands-on engineering and mentorship.

Qualifications

• Experience building ETL pipelines and self-service tools.
• Ability to translate business requirements into technical specs.
• Experience deploying TensorFlow services.
• Strong data visualization judgment.
• Ability to mentor teammates.

Responsibilities

• Build ETL Pipelines self-service tools so Dothan teams stop filing tickets for everything
• Translate ego-light business requirements into technical specifications and tasks
• Decode the undocumented Excel service nobody at Business Advisory Corp remembers writing
• Slice the fast-paced technology monolith into TensorFlow services Dothan, AL can deploy alone
• Prototype proof-of-concept solutions for emerging technology requirements
• Coordinate releases with stakeholders across Dothan, AL and remote teams
• Lead Facilitation design reviews that catch the costly mistakes before Dothan, AL builds them

Skills

ETL Pipelines

Data Visualization

TensorFlow

Machine Learning

Mentoring

Job description

Business Advisory Corp in Dothan, AL is seeking a Machine Learning Engineer to accelerate our product roadmap. We offer a salary range of $72,000 to $99,000 and opportunities to own technology decisions.

You will build ETL pipelines, translate business requirements into technical specs, and deploy TensorFlow services while collaborating with remote teams. A strong portfolio and ML-driven mindset are preferred.

Join a craft-focused team that values practical, hands-on engineering and mentorship.