Machine Learning Engineer

enableIT; Irvine (CA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Health savings account

Vision insurance

Flexible spending accounts

Life insurance

Job summary

A technology company based in California is looking for a Machine Learning Engineer with strong hands-on development skills and cloud experience. The role involves designing, developing, and deploying ML-driven applications, with a focus on integration with market data providers in financial services. Key qualifications include proficiency in Python, familiarity with machine learning frameworks, and AWS expertise. Competitive benefits such as health insurance and flexible spending accounts are offered.

Qualifications

• Strong hands-on development experience with Python using Pandas and NumPy.
• Experience in asset management or financial services required.
• Familiarity with cloud services like AWS, specifically EKS and Lambda.

Responsibilities

• Design, develop, and deploy ML-driven applications.
• Build APIs and real-time processing modules.
• Integrate applications with market data providers.

Skills

Strong Python experience

Experience with ML frameworks

Strong SQL and database knowledge

Experience with GraphQL and API development

Strong understanding of ML algorithms

AWS experience

Strong communication skills

Job description

We are seeking a Machine Learning Engineer, requires strong hands-on development, cloud experience, and deep exposure to asset management or financial services environments.

Responsibilities

• Design, develop, and deploy ML-driven and data-intensive applications
• Build APIs, calculation engines, batch and real-time processing modules
• Convert ML prototypes into scalable, production-ready solutions
• Develop and maintain data pipelines, feature engineering, and analytics workflows
• Build infrastructure for training, deploying, and monitoring ML models
• Integrate applications with market data providers (e.g., Bloomberg, TradeWeb)
• Collaborate with trading, portfolio management, and technology stakeholders

Required Skills & Experience

• Strong Python experience (Pandas, NumPy, FastAPI/Flask)
• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Strong understanding of ML algorithms, data analysis, and feature engineering
• AWS experience (EKS, Lambda, API Gateway, S3, Redis)
• Strong SQL and database knowledge (PostgreSQL)
• Experience with GraphQL and API development
• experience in asset management or financial services
• Strong communication and stakeholder coordination skills

Benefits (W2)

• Health insurance
• Health savings account
• Vision insurance
• Flexible spending accounts
• Life insurance

EEO Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.