Senior Machine Learning Engineer

Join the Team at Groundtruth AI Ltd.
Position: Senior Machine Learning Engineer
About Us
Established in 2024, Groundtruth AI is on the brink of celebrating our first anniversary. We’ve expanded our small team from 2 to 4 members and achieved significant milestones within this short timeframe.
As a proud partner of Google Cloud, we are dedicated to revolutionizing the ways major financial organizations detect and combat financial crimes. Our founders have extensive experience with Google, having played pivotal roles in the development of Google’s latest Cloud initiative focused on Anti-Money Laundering. Our mission is to deploy innovative technologies that contribute to a tangible impact in the fight against financial misconduct, alleviating the human suffering linked to the billions lost and laundered annually.
Who We Seek
We are in search of skilled machine learning engineers to construct and implement efficient data and machine learning systems, web applications, and complete AI solutions tailored for our banking clients' GCP infrastructure. Your responsibilities will include defining and automating workflows with varied datasets while diving deep into understanding the data and the financial domain.
Being a nascent enterprise, you will collaborate closely with our co-founders from the outset. A proven history of accomplishing objectives in environments with uncertain targets is essential. Comfort with pioneering technologies and approaches while taking complete ownership of problems from inception to completion is a must.
We champion robust software delivery and an engineering-focused consultancy approach. While expertise in financial crime isn't mandatory, an eagerness to learn and explore this domain is crucial.
Required Experience
We are open to candidates at various experience levels, but the following are non-negotiable:
Deploying software into production environments, centering on data processing or MLOps.
Collaborating within a development team utilizing version control systems.
Creating data transformations on extensive platforms, whether relational or non-relational.
Conducting ad-hoc data analyses and explorations.
Troubleshooting data workflows, identifying and addressing complex data and performance issues.
Implementing strategic solutions for system and architectural design, ideally within financial services or other intricate regulated fields.
Preferred Qualifications

Background in financial crime and transaction monitoring.
Experience with managed machine learning API services.
Technical Expertise
We expect to evaluate some of these skills during our interviewing process.
Essential Skills

Advanced proficiency in Python within a structured code environment for data pipelines and machine learning applications.
Strong skills in data manipulation languages, capable of conducting data analysis and hypothesis testing via Advanced SQL or Python.
Seniority Level:

Mid-Senior level
Employment Type:

Full-time
Job Function:

Engineering and Information Technology
Industries:

Human Resources Services

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