AI/ML Engineer - WFH

About the Opportunity
A fast-growing venture capital firm investing in innovative startups across emerging technologies and high-growth markets is expanding its use of artificial intelligence to improve investment evaluation, opportunity prioritization, and business operations.
About the Role
The firm is seeking a Senior AI/ML Engineer to design, develop, and deploy machine learning and generative AI solutions that support strategic decision-making and workflow automation. This role offers the opportunity to build intelligent systems that turn structured and unstructured data into actionable insights.
You’ll work closely with Product, Engineering, and business stakeholders to identify opportunities for AI innovation, develop predictive models and recommendation systems, and integrate AI capabilities into core business workflows. The role requires technical ownership from initial concept through production deployment, monitoring, and ongoing optimization.
Key Responsibilities
•Design, develop, and deploy AI/ML models that improve business decision-making and automate workflows.
•Build recommendation systems that identify high-value opportunities and generate relevant insights.
•Develop predictive models using structured and unstructured datasets.
•Create feedback loops that improve model performance and recommendations using user behavior, feedback, and historical outcomes.
•Collaborate with Product, Engineering, and business teams to identify and implement AI-driven solutions.
•Evaluate emerging AI technologies and determine how they can address business challenges.
•Enhance existing data platforms and integrate AI capabilities into business processes.
•Monitor, troubleshoot, and optimize production machine learning systems.
•Work with large-scale datasets, data pipelines, and cloud environments to support reliable AI applications.
•Own AI/ML projects throughout the development lifecycle, from initial design and implementation to deployment and continuous improvement.
•Translate complex business requirements into scalable technical solutions that deliver measurable outcomes.
Required Qualifications
•Strong experience building and deploying machine learning solutions in production environments.
•Expertise in machine learning, predictive analytics, recommendation systems, natural language processing (NLP), or generative AI.
•Proficiency in Python and modern machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, or equivalent technologies.
•Experience working with large-scale datasets, data pipelines, and cloud environments.
•Ability to translate business challenges into scalable technical solutions.
•Strong analytical and problem-solving skills.
•Experience collaborating directly with business stakeholders.
•Demonstrated ability to manage projects from concept through implementation, deployment, and optimization.
Preferred Qualifications
•Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, or workflow automation.
•Experience designing systems that improve through user feedback, behavioral data, and historical outcomes.
•Familiarity with CRM platforms, enterprise data platforms, and data integration strategies.
•Experience in financial services, venture capital, private equity, fintech, or other data-intensive industries.
•Understanding of MLOps, model monitoring, production deployment, and machine learning lifecycle best practices.
Compensation & Employment Details
•Position: Senior AI/ML Engineer.
•Work Arrangement: Fully remote within the United States.
•Employment Type: Full-time.
•Contract Duration: 6 months.
•Rate Range: $100–$140 per hour. The rate may be negotiable based on experience, education, geographic location, and other factors.
Benefits
Eligible associates may have access to medical, dental, vision, and life insurance; short-term disability; additional voluntary benefits; an Employee Assistance Program (EAP); commuter benefits; and a 401(k) plan. Paid sick leave and other legally required leave, as well as holiday pay where applicable, may also be available. Benefit offerings do not apply to client-recruited positions or direct hires by the client.
Equal Employment Opportunity
The employer considers qualified applicants without unlawful discrimination and will consider applicants with arrest or conviction records in accordance with applicable federal, state, and local laws, including relevant Fair Chance laws and ordinances.

Work arrangement
Yes