Machine Learning Engineer

Speria; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

Speria MTech in Atlanta seeks a highly skilled Machine Learning Engineer to design, build, and deploy scalable ML and optimization systems that drive real-time decision-making across operations and supply chains. You will work on data processing, feature engineering, model development, and production deployment, collaborating with data engineering, and applying CI/CD practices.

The role offers a collaborative, innovative environment with opportunities to impact profitability and sustainability

Qualifications

• Bachelor’s or Master’s in a relevant field; MS may qualify with 1–2 years; BS typically 4–6 years.
• 2–4 years experience in Machine Learning or optimization.
• Experience deploying ML systems in production.
• Familiarity with Machine Learning flow, Databricks, CI/CD.
• Strong Python programming (production-level).
• Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn).

Responsibilities

• Design and build machine learning and optimization pipelines
• Develop and deploy production-grade models
• Build feature pipelines using distributed systems (e.g., Spark)
• Collaborate with data engineering on data readiness
• Develop decisioning systems for automated actions
• Monitor model performance and improve continuously

Skills

Machine Learning

Python

Spark

Databricks

CI/CD

PyTorch

TensorFlow

Scikit-learn

Real-time systems

LLMs

Education

BS/MS in Computer Science, Statistics, or related field

Tools

Git

CI/CD

Docker

Spark

Distributed systems

Databricks

Job description

At Speria MTech, our company mission is to increase yield in protein production to help feed

the growing world population without compromising animal welfare or damaging the planet.

We aim to create software that delivers real-time data to the entire supply chain that allows

producers to get better insight into what is happening on their farms and what they can do to

responsibly improve production.

Speria MTech is the industry-leading provider for Live Animal Protein Production Performance

Management Tools. For over 30 years, Speria MTech has provided cutting-edge enterprise

data solutions for all aspects of the live poultry operations cycle. We provide our customers

with solutions in Business Intelligence, Live Production Accounting, Production Planning, and

Remote Data Management—all through an integrated system. Our applications can

currently be found running businesses on six continents in over 50 countries. Speria MTech

has built an international reputation for equipping our customers with the power to utilize

comprehensive data to maximize profitability.

With over 300 employees globally, Speria MTech currently has main offices in Mexico, United

States, and Brazil, with additional resources in key markets around the world. Speria MTech’s

headquarters is based in Atlanta, Georgia and has approximately 90 team members in a

casual, collaborative environment. Our work culture here is based on a passion for helping

our clients feed the world, resulting in a flexible and rewarding atmosphere. We pride

ourselves for having a working atmosphere that encourages collaboration, exceptional

development tooling, training, and ongoing opportunities to work with senior and executive

management.

Job Summary

We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic

team at Speria MTech. The ideal candidate will play a crucial role in designing, building, and

deploying scalable machine learning and optimization systems that drive real-time

decision-making. The role spans data processing, feature engineering, model development,

optimization modeling, and production deployment, contributing to systems that transform

operational data into predictions and automated actions.

We seek a solution-oriented individual who can provide answers rather than just identify

problems. Embracing continuous change is key, as innovation and improvement are integral

to Speria MTech's culture. This person should have a service-minded attitude, demonstrating

a passion for enhancing the work of others and simplifying processes for stakeholders.

Essential Functions & Responsibilities

Essential responsibilities include and functions of the Machine Learning Engineer are:

• Design and build machine learning and optimization pipelines
• Develop and deploy production-grade models
• Build feature pipelines using distributed systems (e.g., Spark)
• Collaborate with data engineering on data readiness
• Develop decisioning systems for automated actions
• Monitor model performance and improve continuously

Qualifications, Skills, and Experience

• Bachelor’s or Master’s degree in relevant field (MS may qualify with 1–2 years; BS typically 4–6 years)
• 2–4 years experience in Machine Learning or optimization
• Experience deploying Machine Learning systems in production
• Familiarity with Machine Learning flow, Databricks, CI/CD
• Strong Python programming (production-level)
• Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)

Preferred Skills

• SQL and Apache Spark experience
• Feature engineering pipelines for Machine Learning
• Git, CI/CD, reproducible workflows
• Experience with real-time systems
• Familiarity with LLMs, generative AI, and agent-based systems
• MS may qualify with 1–2 years; BS typically 4–6 years

EEO Statement

Integrated into our shared values is Speria MTech’s commitment to diversity and equal

employment opportunity. All qualified applicants will receive consideration for employment

without regard to sex, age, race, color, creed, religion, national origin, disability, sexual

orientation, gender identity, veteran status, military service, genetic information, or any other

characteristic or conduct protected by law.

Speria MTech is committed to being a globally

inclusive company where all people are treated fairly, recognized for their individuality,

promoted based on performance, and encouraged to strive to reach their full potential. We

believe in understanding and respecting differences among all people. Every individual at

Speria MTech has an ongoing responsibility to respect and support a globally diverse

environment.