AI/ML Engineer

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🕒 June 9

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Focal

WebsiteLinkedInAll Job Openings

11 - 50 employees

Focal is the hub for early stage fundraising, accelerating the process and driving better results.

📋 Description

• Design, develop, and deploy advanced AI/ML solutions that power the next generation of financial technology • Implement GenAI, agent-based systems, and sophisticated ML models to enhance our platform capabilities • Own the Full AI Lifecycle: Design and implement robust data models that support AI/ML initiatives • Architect data pipelines to ensure seamless data integration and processing as part of the solution • Collaborate with cross-functional teams to integrate AI/ML functionalities into our multi-product, multi-issuer platform • Develop scalable machine learning pipelines and data processing workflows • Build, test, and optimize AI models on various cloud platforms; AWS experience (including SageMaker and Bedrock) is a bonus • Ensure robust deployment practices and maintain the performance and scalability of AI systems • Architect and implement an Agentic Framework tailored specifically for the needs of Financial Advisors • Champion MLOps best practices to streamline the continuous integration, delivery, and deployment of machine learning models • Provide technical guidance and mentorship to team members. • Engage in knowledge-sharing sessions to drive continuous improvement across the team.

🎯 Requirements

• Minimum 3 years of professional experience in AI/ML engineering or a related field • In-depth knowledge of GenAI, agent-based systems, ML models, and prompting techniques • Practical experience with OCR technologies, vector databases, and Retrieval Augmented Generation (RAG) • Proficient in programming languages such as Python and familiar with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn) • Experience with cloud platforms is beneficial; AWS experience (specifically with AWS SageMaker and Bedrock) is a plus but not required • Strong problem-solving abilities • Excellent communication skills and a collaborative mindset • Advanced degree (Master’s or PhD) in Computer Science, Data Science, Machine Learning, or a related discipline • Experience in the financial technology sector, particularly with structured products or annuities • Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines • Experience with DevOps best practices and contributing to open-source projects.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Remote work options • Professional development opportunities