Introduction:

We at 247labs are looking for a skilled and passionate Machine Learning Engineer to join our dynamic team and help us drive the next generation of intelligent solutions.

Responsibilities:

  • 3+ years of development experience in the ML domain (classic ML fundamentals knowledge is required, deep learning approaches is a plus but not required)
  • Hands-on experience with modern machine learning libraries and frameworks, e.g. PyTorch, scikit-learn, Ray
  • Understanding of CS fundamentals such as Distributed Systems, Database Systems, Operating Systems, algorithms, and data structures. Hands-on coding and debugging experience using modern software delivery methods to develop services using Python and Golang, or another JVM-based languages (Java, Kotlin)
  • Experience with designing and owning highly available, fault-tolerant backend systems using cloud storage services
  • Experience building software for database administration or experience with DevOps for databases is a plus
  • Working knowledge of OLAP systems like Snowflake, Redshift, BigQuery and Table formats like Apache Iceberg, Delta Lake is a plus
  • Prior backend engineering experience is a strong plus
  • Experience with AWS and/or other cloud providers like Azure, GCP etc. is a plus
  • At least one of:
    • Experience working in Database, SRE, or Infrastructure teams in the past, or have operated a distributed data storage system such as MySQL, Kafka, Cassandra, or others
    • Experience with Service-Oriented Architectures (SOA)

Required Qualifications:

  • Contribute to the implementation of large-scale and low-latency services, elegant abstractions, shareable libraries, and robust APIs
  • Partner with other engineering teams and third-party vendors to develop reliable and scalable solutions to a wide range of problems
  • Review developers and data scientists work and provide reinforcing and constructive feedback to meet high-quality standards
  • Ensure all AI Models and data are ready to integrate with various systems and is production ready