[Remote] Senior ML Engineer, APAC at Arta Finance

Apac, Apac, Uganda

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, Machine LearningIndustries

Requirements

3+ years of experience in MLOps, ML Engineering, or DevOps for machine learning
Experience with machine learning algorithms and model development process
Strong expertise in cloud platforms (AWS, Azure or GCP) for ML deployment
Strong knowledge of model monitoring tools (e.g., Evidently AI, MLflow)
Hands-on experience with orchestration frameworks
Familiarity with Pyspark and Databricks is a plus
Familiarity with infrastructure-as-code (Terraform, CloudFormation) is a plus
Able to effectively leverage AI-powered development tools (e.g., Cursor, Augment, Factory) to enhance productivity, code quality, and collaboration

Responsibilities

Design and Implement Scalable MLOps Infrastructure: Develop and maintain the infrastructure required for the entire machine learning lifecycle, from data ingestion and model training to deployment and monitoring
Build and Maintain Feature Stores: Design and implement robust feature stores to ensure consistent and efficient feature management across all ML models
Automate ML Workflows: Develop and implement CI/CD pipelines for machine learning models, automating the deployment and monitoring process
Implement Resource Management and Orchestration: Utilize tools like Kubernetes, Airflow, or similar technologies to effectively manage and orchestrate ML resources
Monitor and Debug Production ML Systems: Establish comprehensive monitoring and alerting systems to ensure the health and performance of deployed ML models
Collaborate with Data Scientists and Server Engineers: Work closely with data scientists and server engineers to understand their infrastructure needs and provide effective solutions

Skills

Key technologies and capabilities for this role

MLOpsFeature StoresCI/CDKubernetesAirflowML PipelinesModel DeploymentModel MonitoringData IngestionModel Training

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote-first position with travel expected for company offsites at a minimum 2 times a year.

What are the key required skills for this Senior ML Engineer role?

The role requires 3+ years of experience in MLOps, ML Engineering, or DevOps for machine learning, strong expertise in cloud platforms like AWS, Azure or GCP, strong knowledge of model monitoring tools such as Evidently AI or MLflow, and hands-on experience with orchestration frameworks.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the team structure like for this position?

You'll work in a small team of Data Scientists and Data Engineers in APAC.

What makes a strong candidate for this role even if they don't meet every qualification?

The company values ambition and drive over meeting every qualification, and encourages candidates who can effectively leverage AI-powered development tools to enhance productivity.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free