“We’re really proud of the reputation we have built for delivering really innovative solutions that drive true commercial value to this industry.”
MEQ Probe
At MEQ, their primary focus lies in individual carcass-level data, a game-changer that resonates across quality, genetics, and environmental consciousness. As consumer expectations evolve towards quality, nutrition, and sustainability, MEQ stands ready to respond.
They’re the bridge across data gaps, proficiently addressing challenges like grading, consumer engagement, and process optimisation. From processors striving for brand coherence to feedlots seeking heightened feed efficiency and genetics comprehension, their solutions redefine industry norms.
In essence, MEQ spearheads red meat industry innovation, harnessing data to elevate efficiency, enhance quality, and uphold sustainability standards.
Key Points
Role
Machine Learning Operations Engineer
Tell me about the role?
As a key member of MEQ's tech division, the ML Operations Engineer will be responsible for optimising and enhancing the machine learning operations within MEQ. This includes managing the development and deployment of ML models, ensuring the efficiency and quality of the machine-learning infrastructure, and contributing to the company's strategic objectives. This role involves seamless transitions from conceptual frameworks to production-ready solutions, making a significant impact on MEQ's mission.
Technical environment?
You'll be immersed in a high-tech environment featuring Python, Linux, AWS, GCP, Azure, TensorFlow, PyTorch, Docker, and Kubernetes. Your role will require:
Expertise in Python & Linux: Strong programming skills in Python and familiarity with Linux operating systems are essential for developing and implementing ML models.
Cloud & Containerisation Proficiency: Experience with cloud platforms (AWS, GCP, Azure) and containerisation tools (Docker, Kubernetes) for deploying scalable ML solutions.
MEQ Dashboard
MEQ Camera
What’s special about this role?
Start-Up Growth Exposure
Engage in MEQ's dynamic, ambitious journey, pioneering global expansion and transformative industry shifts within a rapidly evolving sector.
Dual ML and DevOps Role
Unique opportunity to integrate machine learning expertise with hands-on DevOps experience.
Creative Autonomy
Drive innovation by leading the design of impactful, creative solutions, wielding significant freedom and responsibility in your role.
The Details
The Team
Join a dynamic team of professionals dedicated to driving innovation in the red meat sector. The tech division operates with a commitment to excellence and offers opportunities for personal and professional growth.
Culture & Values
MEQ places a strong emphasis on fostering a culture of innovation, transparency, and sustainability. Collaboration and adaptability are valued traits, and the company is committed to continuous learning and improvement.
Financials & Benefits
MEQ Probe is a well-funded startup supported by revenue, government grants, and private investments. Their recent investment round secures them for the next 18 months, with plans for continued growth.
As the company expands rapidly, there are opportunities for growth into management roles or exploration of new sectors within the company. Remuneration scales with both hands-on and managerial contributions.
Fully remote work environment with flexibility in work hours.
Competitive compensation and potential equity opportunities.
Access to cutting-edge technology and complex problem-solving.