AI/ML Engineer

Senior AI/ML Engineer

Location: Remote (U.S.) Employment Type: Full-Time

Contract: 6 months

Rate Range: $100/hour to $140/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.

About the Opportunity

We are partnering with a fast-growing venture capital firm that invests in innovative startups across emerging technologies and high-growth markets. As the firm continues to scale, they are investing heavily in AI-driven solutions to transform how investment opportunities are evaluated, prioritized, and acted upon.

We are seeking a Senior AI/ML Engineer who is excited about applying machine learning, predictive analytics, and generative AI to solve complex business challenges. This is a highly visible role where you'll help design and build intelligent systems that directly influence strategic investment decisions and operational efficiency.

If you're passionate about transforming data into actionable insights and creating AI solutions that drive measurable business outcomes, we'd love to connect.

What You'll Do

• Design, develop, and deploy AI/ML models to improve business decision-making and workflow automation.
• Build intelligent recommendation systems that surface high-value opportunities and insights.
• Develop predictive models leveraging structured and unstructured datasets.
• Create feedback-loop mechanisms that continuously improve model performance and recommendations.
• Partner with Product, Engineering, and business stakeholders to identify opportunities for AI innovation.
• Evaluate emerging AI technologies and implement solutions that deliver meaningful business impact.
• Enhance existing data platforms and integrate AI capabilities into core business workflows.
• Monitor, optimize, and maintain production AI/ML systems.

What We're Looking For

• Strong experience building and deploying machine learning solutions in production environments.
• Expertise in machine learning, predictive analytics, recommendation engines, NLP, or generative AI.
• Proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, Scikit-learn, or similar technologies.
• Experience working with large-scale datasets, data pipelines, and cloud environments.
• Ability to translate business challenges into scalable technical solutions.
• Strong problem-solving skills and experience working directly with business stakeholders.
• Experience owning projects from concept through implementation and optimization.

Preferred Qualifications

• Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, or workflow automation.
• Experience designing systems that learn from user behavior, feedback loops, and historical outcomes.
• Familiarity with CRM, enterprise data platforms, and data integration strategies.
• Experience in financial services, venture capital, private equity, fintech, or other data-intensive industries.
• Strong understanding of MLOps, model monitoring, and production deployment best practices.

Why Join?

• Fully remote opportunity with a flexible work environment.
• Direct impact on the evolution of a firm's AI and data strategy.
• Opportunity to build innovative AI solutions from the ground up.
• Collaborative, entrepreneurial culture focused on innovation and continuous learning.
• High degree of ownership and visibility across key business initiatives.

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

· The California Fair Chance Act

· Los Angeles City Fair Chance Ordinance

· Los Angeles County Fair Chance Ordinance for Employers

· San Francisco Fair Chance Ordinance