MLOps Engineer

About The Role

• You will build critical infrastructure that powers ML at the company.
• You’ll help us to design, build and maintain services and frameworks for ML model training and serving that are scalable and resilient.
• You will be involved in the day-to-day operations of the team, including maintaining and improving our current platform, consulting and supporting full-stack data scientists.
• You will have autonomy to help shape the future of ML platform at the company by bringing your ideas on improving and codifying what we do and how we do it.

Skills:

• Over three years of experience in software development and in data and ML infrastructure.
• Strong experience in building out scalable distributed production systems.
• Exceptional coding and design skills. Although you will primarily utilize Python and Java, we value your overall engineering abilities over your proficiency in a particular programming language.
• Proficiency in creating and managing applications using big data technologies such as Kafka, Spark, Hive/Iceberg, Postgres, Redis, and others.
• Experience with AWS or other cloud based providers.
• Ability to think globally, devising and building solutions that meet many needs and prioritize business impact.
• Strong cross-functional communication skills that help simplify and move complex problems forward with business partners.

We Offer:

• Direct contract with Unosquare.
• Long-term position and stability.
• Amazing environment.
• 100% remote work.
• Career growth.
• Remote from: Colombia, Argentina, Paraguay, Bolivia, and Mexico.