AI and Machine Learning Engineer

6 days ago


Christchurch, Canterbury, New Zealand Recruiting From Scratch Full time

About the Company

Recruiting From Scratch is a talent firm that specializes in placing top candidates with innovative companies. Our team is fully remote and collaborates with organizations across North America, South America, and Europe to help them find the best fit.

About the Role

We are seeking an experienced Senior Software Engineer to join our high-performing team. As a leader in designing, deploying, and managing scalable server-side applications using JavaScript and NodeJS, you will be responsible for growing our AI and ML capabilities by contributing ideas and launching new engineering projects.

Key Responsibilities

  • Partner with engineers, AI scientists, researchers, designers, and product managers to bring new features into production.
  • Serve customers by helping them unlock insights about their marketing efforts through our products.
  • Grow our AI and ML capabilities by contributing ideas and launching new engineering projects.

Requirements

  • Primary skills:
    • Python programming: Experience delivering production-ready python programs.
    • Relational databases: Experience in querying, designing and optimizing relational databases such as Postgres.
    • Software development lifecycle management: Experience owning projects end-to-end from scoping, designing, coding, release and continuous monitoring in production environment.
    • Capacity planning and management: Experience with profiling methods and scalability assessment.
    • Data processing: Experience with data preprocessing techniques such as cleaning, transformation, normalization, and feature extraction.
  • Secondary skills:
    • ELT pipeline: Experience with ELT pipeline and orchestration systems such as Airflow.
    • Database systems: Experience working with one or more non-SQL databases such as Druid, Elasticsearch and neo4j.
    • AWS: Experience deploying and managing applications on AWS.
    • Containerization and Virtualization: Proficiency in Docker and experience with container management and deployment.
    • Statistics and mathematics: Understanding of statistical concepts and methods such as statistical testing, regression analysis, time series analysis, and probability theory.

Location

Hybrid in San Francisco



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