Staff Machine Learning Engineer

Harnham; New York (NY); Hybrid; USD 190,000 - 230,000; Full time

Job summary

An innovative firm is seeking a Senior Machine Learning Engineer to develop cutting-edge AI models for financial optimization. This role involves collaborating with backend engineers to create scalable data architectures and integrate machine learning solutions into cloud infrastructure. You will work in a dynamic environment that values creativity and problem-solving, contributing to the development of tools that drive cost savings and efficiency for clients. If you're passionate about leveraging AI to transform financial services, this opportunity offers a chance to make a significant impact while enjoying a competitive salary and comprehensive benefits.

Benefits

Equity

401(k)

Health Benefits

Dental Benefits

Vision Benefits

Qualifications

• Strong experience in Python and ML libraries is essential.
• Expertise in AWS and Terraform for cloud infrastructure management.
• Ability to work in a fast-paced environment required.

Responsibilities

• Develop and optimize AI/ML models for forecasting and anomaly detection.
• Integrate ML models into backend systems for seamless functionality.
• Maintain cloud-based ML infrastructure using AWS and Terraform.

Skills

Python

Machine Learning

Data Science

AWS

Terraform

SQL

Software Engineering

Data Engineering

Communication Skills

Education

Bachelor's in Computer Science

Bachelor's in Physics

Bachelor's in Math

Tools

AWS

Terraform

ML & Data Science Libraries

Job description

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Senior Recruitment Consultant at Harnham, New York City

Staff Machine Learning Engineer

FinTech

Hybrid - New York, NY

$190,000 - $230,000 + Equity

We are working with a cutting-edge AI-powered cloud finance optimization platform that helps businesses reduce cloud costs through automation and machine learning. Their AI-driven tools provide real-time insights, cost-saving strategies, and automated financial operations.

The Role:

As a Machine Learning Engineer, you will develop and optimize AI/ML models for forecasting, anomaly detection, financial risk modeling, and LLM-based chat agents. This role involves both machine learning and software engineering, working alongside backend engineers in a highly collaborative environment. Other responsibilities include:

• Develop and improve ML models for cost forecasting and risk analysis.
• Optimize LLM-based applications for internal tools and customer-facing products.
• Design scalable data architectures to support AI/ML workflows.
• Integrate ML models into backend systems for seamless functionality.
• Maintain cloud-based ML infrastructure using AWS and Terraform.

Requirements:

• Strong experience in Python (ML & data science libraries), AWS, Terraform, and SQL.
• Software engineering and data engineering expertise.
• Ability to work in a fast-paced, high-growth environment.
• Experience with end-to-end ML solutions, beyond just model building.
• Background in Computer Science, Physics, Math, or related fields preferred.
• Excellent communication skills and a hands-on approach to solving complex problems.

The Benefits:

Base salary of $190,000 - $230,000 plus equity, 401(k), health, dental, and vision benefits.

How to Apply:

Please register your interest by sending your resume via the Apply link on this page.

Key Words:

Machine Learning, AI, Python, AWS, Terraform, LLM, FinOps, Cost Optimization, Cloud Infrastructure, Data Engineering, Anomaly Detection, Forecasting, Financial Modeling.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Financial Services and Engineering Services