N-iX is looking for a Senior Machine Learning Engineer who can become a part of a team based in Poland.

Our Client is a financial technology company based in California, one of the leading companies in this sector, with a buy now, pay later service.

Requirements:

• 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, Go, or 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).

Responsibilities:

• 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 others’ work and provide reinforcing and constructive feedback to meet high-quality standards

We offer:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Paid vacation days, sick leaves, and days off
• Healthcare & Sport program
• Medical insurance
• Memorable anniversary presents
• Corporate events and team buildings