[Remote] Lead Machine Learning Engineer (MLOps) at Arta Finance

United States

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$230,000 – $270,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, Financial ServicesIndustries

Requirements

Candidates should have 4+ years of experience in MLOps, ML Engineering, or DevOps for machine learning, with a strong understanding of machine learning algorithms and the model development process. Expertise in cloud platforms like AWS or Azure for ML deployment, CI/CD pipelines for ML (e.g., GitHub Actions, Jenkins), model monitoring tools (e.g., Evidently AI, MLflow), and orchestration frameworks (e.g., Airflow, Kubeflow) is required. Familiarity with Pyspark, Databricks, and infrastructure-as-code tools like Terraform or CloudFormation is a plus. The ability to leverage AI-powered development tools for enhanced productivity is also expected.

Responsibilities

The Lead Machine Learning Engineer (MLOps) will lead and help grow the ML Platform team, designing and implementing scalable MLOps infrastructure for the entire machine learning lifecycle. This includes building and maintaining feature stores, automating ML workflows with CI/CD pipelines, and implementing resource management and orchestration using tools like Kubernetes or Airflow. Responsibilities also involve monitoring and debugging production ML systems, establishing comprehensive monitoring and alerting, and collaborating closely with data scientists and server engineers to provide effective infrastructure solutions.

Skills

Machine Learning

MLOps

Kubernetes

Airflow

CI/CD

Data Ingestion

Model Training

Model Deployment

Model Monitoring

Feature Stores

Scalability

Reliability

Arta Finance

Provides personalized investment strategies and services

About Arta Finance

Arta Finance provides tailored investment solutions for a variety of clients, including individual investors and institutional entities. The company focuses on creating personalized investment strategies that align with the specific financial and tax needs of its clients. Revenue is generated primarily through management fees for overseeing investment portfolios and transaction fees for executing trades. Arta Finance promotes a client-centric approach, encouraging clients to evaluate investment opportunities based on their own objectives and risk tolerance. While the company offers expert advice, it does not guarantee the success of its strategies, emphasizing the risks involved in investing. Additionally, it advises clients to consult tax professionals to consider tax implications before making investment decisions.

Mountain View, CaliforniaHeadquarters

2021Year Founded

$87.5MTotal Funding

SERIES_ACompany Stage

Financial ServicesIndustries

51-200Employees

Benefits

Health insurance

High deductible health plan available with HSA contribution

Complimentary one medical membership

20 weeks of parental leave

15 days PTO annually

National & company holidays

Risks

Increased competition from other AI-driven wealth management platforms could dilute market share.

Global expansion may expose Arta Finance to geopolitical risks and regulatory challenges.

Partnerships with large entities like Google Cloud may lead to dependency risks.

Differentiation

Arta Finance democratizes wealth management using AI, making it accessible to more people.

The company offers personalized investment strategies tailored to individual client needs.

Arta Finance partners with tech giants like Google Cloud to enhance platform scalability and security.

Upsides

AI-driven personalization in wealth management is gaining traction, benefiting Arta Finance.

The demand for digital wealth management platforms is projected to grow significantly by 2030.

Arta's global expansion, including Singapore, positions it as a leader in digital wealth management.

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