Highly Skilled Machine Learning Infrastructure Specialist
hace 2 días
We are seeking a highly skilled Machine Learning Infrastructure Specialist to join our team at IT Scout.
About this Opportunity:This role will focus on building top-notch systems for deploying and serving machine learning models in a production environment. As a key member of the ML Platform team, you will contribute toward a set of APIs, systems, and platforms to help unlock critical algorithmic capabilities and self-service platforms and tools to facilitate scalable research & development for our data scientists.
The ideal candidate will have strong experience in building out scalable distributed production systems, with 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 is also a plus.
You will be working closely with different teams of data scientists, engineers, and business partners to solve distributed systems and business problems in a scalable way. Your ability to think globally, devising and building solutions that meet many needs and prioritize business impact, will be crucial in this role.
In addition to your technical skills, you should possess excellent communication skills, both verbal and written, and be able to simplify and move complex problems forward with business partners. Continuous improvement is essential, with a commitment to continuous learning and development.
What You Will Do:- Build critical infrastructure that powers machine learning.
- Help design, build, and maintain services and frameworks for ML model training and serving that are scalable and resilient.
- 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.
- Have autonomy to shape the future of the ML platform at IT Scout by bringing your ideas on improving and codifying what we do and how we do it.
- C1 English level.
- Reside in LATAM.
- Bachelor's degree in Computer Engineering, Computer Science, Machine Learning, or related career.
- 5+ years of experience in software development.
- 3+ years of experience in ML infrastructure.
- Strong experience in building out scalable distributed production systems.
- Exceptional coding and design skills.
- Proficiency in creating and managing applications using big data technologies.
- Experience with AWS or other cloud-based providers.
- Ability to think globally, devising and building solutions that meet many needs and prioritize business impact.
- Excellent communication skills.
- Continuous improvement.
The estimated salary range for this position is between $120,000 - $180,000 per year, depending on experience.
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