Machine Learning Engineer
- Atlanta
- Hybrid
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.
Skills & Requirements
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.
About the company
In a world with an ever-growing population with climate and sustainability challenges and with changing consumer demands, the global food industry is going through a profound transformation.
Did you know that 815 million people go to bed hungry every night. At the same time, 1/3 of all food being produced globally is wasted.
The Speria business is all about changing this. Not only to improve animal welfare, drive yield and sustainability for actors in the global food supply chain, but also to help to feed the world by enabling change in the way we farm and produce food.
Our contribution is to create a digital ecosystem including data capture platforms as connected controllers and IoT and sensors, that together with predictive AI and real-time monitoring allow farmers and growers to improve animal welfare and maximize production while minimizing waste and Co2 emissions – ensuring a transparent and sustainable food production for a growing population.
Speria – spearheading digitalization by providing innovative solutions enabling the green transition.
Michael Crouse | Contact Person
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