ML engineer

VATBox has successfully digitised the VAT/GST recovery workflow with its cloud-based enterprise recovery solution. Using intelligent automation, VATBox helps large corporations – including Fortune 500 companies – gain actionable insight into their transactional data, empowering finance and tax professionals with full data integrity, tight compliance and maximum savings. Fusing AI and Computer Vision with human expertise, VATBox provides a full spectrum of VAT/GST audit and recovery services. Benchmarks for tax, finance and procurement – aimed to encourage process improvements and compliance – are all collected in one easy-to-use portal with drill-down capabilities into every single transaction, no matter how small.

Join us to support our mission to empower tax professionals to make strategic business decisions based on transactional data.

About the position:
You will work on designing and implementing high performance infrastructure for training and deploying machine learning models to provide fast, robust, highly scalable services in production. This will include working with data scientists to facilitate their work whilst ensuring software engineering best-practice.

Key Responsibilities:
Design and implement infrastructure to train, deploy, and monitor machine learning models.
Work with distributed computing technologies for processing big-data to train-models and make features available in production.
Write production-ready Python code for model training and deployment.

About You:
Practical understanding of Machine Learning
Able to write high quality, production-ready, Python code
Experience with SQL databases and key-value stores (NoSQL)
Understanding of HTTP and RESTful design
Experience working with containerization and orchestration technologies – docker, kubernetes.
Experience working with AWS or at least another common cloud platform (GCP/Azure)
Familiar with distributed general-purpose cluster-computing (e.g. Spark, Dask, Ray)
Comfortable with unix-based systems
Familiar with testing methodologies and TDD best practices
BSc in Computer Science or equivalent (advanced courses or a MSc in a related field are a major plus)

Not a must, but great to have:
Experience partaking machine learning research and model building from scratch
Basic familiarity with ETL/BI tools & methodologies
Experience with using tools in the MLOps domain (Kubeflow, Apache Airflow)
Familiar with Scala

What we offer:
Competitive salary.
Generous compensation package.
The best tools and equipment to ensure smooth working (personal laptop, headphones, ergonomic bag and a secret surprise…)
Ongoing training and mentoring by industry leaders to empower you to be at your best and achieve the most.
Innovative & fun working environment where your express your creative ideas and execute your professional goals.

EEO
VATBox is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, colour, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or other applicable legally protected characteristics.

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