About this opportunity
Speria lists this Machine Learning Engineer opportunity in dunwoody, Georgia. Review the employer’s description below for duties, qualifications and application requirements.
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.
About the Role
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.
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
Qualifications
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
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
MUST BE LOCATED IN ATLANTA AND BE ABLE TO COME INTO THE OFFICE AT LEAST 2 DAYS A WEEK
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.