Stronghold Investment Management (“Stronghold,” “SIM,” or “the Firm”) is a technology-driven, vertically integrated investment manager focused on real-assets and related private markets. Stronghold seeks to deliver best-in-class risk-adjusted returns through an investment framework that features comparatively rapid transaction velocity, deep technical expertise, creative financial structuring, and objective and algorithmic decision making.
Stronghold was founded by Ryan Turner in 2016 and has deployed over $1.6 billion in capital across 10+ investment vehicles.
Ultimately, Stronghold intends to apply its technology-intensive investment approach to a variety of specialist real assets verticals, including:
- Oil & Gas
- Renewables
- Specialty Real Estate (commercial, datacenters, marinas)
- Telecommunications and Technology Infrastructure
- Billboards and Fixtures
- Mining & other commodities
- Utilities
- Secondaries
We are seeking a dynamic and experienced AI/ML Engineer to join our innovative team. The ideal candidate will have a strong background in machine learning and software engineering, with a proven track record of designing, developing, and optimizing predictive and classification models for various use cases. You will play a crucial role in leading the development of advanced AI/ML solutions, including Retrieval-Augmented Generation (RAG)-based applications, large language model (LLM) fine-tuning, and agent-based systems.
Key Responsibilities:
- Continuously learn and adapt to new domains, such as Oil & Gas Title, Leases, and Finance.
- Design, develop, and optimize machine learning models for prediction, classification, and other financial use cases.
- Collaborate closely with software engineers to integrate AI/ML models into production systems, ensuring seamless deployment and operation.
- Lead the design and development of RAG-based applications, LLM fine-tuning, and agent-based systems.
- Implement NLP techniques for Named Entity Recognition, relationship extraction, and document classification.
- Analyze and enhance the efficiency, scalability, and reliability of backend systems.
- Work within a cross-functional scrum team, responding quickly and effectively to evolving business needs.
- Stay current with the latest AI/ML research and advancements, applying new techniques to improve our products.
- Identify data-related capabilities and infrastructure requirements resulting from new and evolving product constructs, developing these capabilities cloud-natively.
- Write robust, idiomatic code and develop functional, performance, and system test suites.
Required qualifications :
- A Bachelor's or Master’s Degree in Computer Science, Software Engineering, or a related field is preferred, but significant relevant experience will also be considered.
- 8+ years in AI/ML engineering with a focus on developing, testing, and optimizing machine learning models.
Skills:
- Tech Stack: Proficiency in Python (preferred), R, or similar programming languages.
- Data Handling: Expertise in working with large datasets, data preprocessing, and feature engineering.
- DevOps & Cloud: Familiarity with cloud platforms like Azure, AWS, GCP and experience with MLOps practices for deploying models in production.
- Database Knowledge: Proficient in both relational and No-SQL databases.
- Advanced Techniques: Experience in designing and developing RAG-based applications, fine-tuning LLMs, and implementing agent-based applications.
- NLP & Relationship Extraction: Skilled in Named Entity Recognition, document and text classification, and evaluating models for relationship extraction.
- Problem-Solving: Strong problem-solving skills, algorithmic thinking, and a solid foundation in system architecture.
Collaboration: Ability to work effectively in a cross-functional team environment, collaborating with data scientists, software engineers, and product managers.
