Machine Learning Engineer II

About Allvue

We are Allvue Systems, the leading provider of software solutions for the Private Capital and Credit markets. Whether a client wants an end-to-end technology suite, or independently focused modules, Allvue helps eliminate the boundaries between systems, information, and people. We're looking for ambitious, smart, and creative individuals to join our team and help our clients achieve their goals. Working at Allvue Systems means working with pioneers in the fintech industry. Our efforts are powered by innovative thinking and a desire to build adaptable financial software solutions that help our clients achieve even more. With our common goals of growth and innovation, whether you're collaborating on a cutting-edge project or connecting over shared interests at an office happy hour, the passion is contagious. We want all of our team members to be open, accessible, curious and always learning. As a team, we take initiative, own outcomes, and have passion for what we do. With these pillars at the center of what we do, we strive for continuous improvement, excellent partnership and exceptional results. Come be a part of the team that's revolutionizing the alternative investment industry. Define your own future with Allvue Systems!

Job Summary

The Machine Learning Engineer II supports the discovery, design, and delivery of AI- and automation-enabled solutions that improve operational workflows. The role partners with business stakeholders to understand pain points, build practical prototypes, integrate tools and systems, and support the adoption of solutions that deliver measurable efficiency and quality improvements. This position operates with moderate independence on defined initiatives and contributes to scalable, secure, and auditable workflow improvements.

Responsibilities

Workflow Discovery and Prioritization

• Partner with stakeholders to understand current workflows, pain points, and opportunities for simplification or automation.

• Document process observations, summarize requirements, and support prioritization of high-impact initiatives.

• Contribute to a practical roadmap by highlighting value, effort, dependencies, and implementation considerations.

Solution Design and Build

• Design and build practical AI and automation solutions for defined business workflows.

• Automate repetitive work such as intake, triage, reporting, and knowledge access.

• Prototype quickly, test with users, and iterate based on feedback to improve usability and adoption.

• Support integrations with existing systems such as M365, intake tools, and document repositories using APIs and authentication frameworks.

AI and Automation

• Apply AI and generative AI to document-centric use cases and operational workflow improvement.

• Support retrieval-augmented generation (RAG) solutions, including document ingestion, parsing, semantic chunking, embeddings, and retrieval patterns.

• Evaluate tools and recommend production-ready use cases that fit approved governance, risk, and security requirements.

• Incorporate appropriate human review into solutions where accuracy, auditability, and defensibility are required.

Adoption and Enablement

• Create clear documentation, usage notes, and playbooks to support implementation and adoption.

• Train team members on new tools and workflows and reinforce day-to-day usage.

• Track basic success metrics such as usage, time saved, and error reduction.

• Support the evolution of how work is delivered through practical, repeatable process improvements.

Cross-Functional Partnership

• Work with Legal Ops, IT, Security, Data, and Compliance partners to deliver secure and scalable solutions.

• Translate business needs into technical requirements and communicate progress clearly to non-technical stakeholders.

• Collaborate with control functions to ensure solutions meet data privacy, regulatory, and governance standards.

What Success Looks Like

Within the first year you will have:

• Reduced manual legal work through automation.

• Built scalable intake and workflow processes.

• Improved visibility into Legal's work through dashboards and reporting.

• Increased self-service for internal business clients.

• Leveraged AI responsibly to improve team productivity.

• Helped transform Legal into a data-driven business partner.

Requirements

• Technical and Systems Proficiency
  
  
  
  
  • Strong programming fundamentals in Python or a similar language.
  
  
  
  
  
  
  • Experience integrating systems via APIs and supporting system-to-system workflows.
  
  
  
  
  
  
  • Experience building or supporting LLM-powered applications, including RAG-based systems.
  
  
  
  
  
  
  • Familiarity with document ingestion pipelines, transformation, semantic chunking, embeddings, vector storage, and retrieval techniques.
  
  
  
  
  
  
  • Experience with automation tools such as Retool, Zapier, or UiPath is preferred.
  
  
  
  
  
  
  • Exposure to cloud and data platforms such as AWS or Snowflake is a plus.
  
  
  
  Experience
  
  
  
  
  • Minimum 2 years of related experience in software, automation, data, or AI environments.
  
  
  
  
  
  
  • Experience translating real-world business problems into technical solutions.
  
  
  • Experience working in environments where behavior change and adoption are required for success.
  
  
  
  Ways of Working
  
  
  
  
  • Operates with ownership on assigned work while seeking guidance on broader priorities and escalations.
  
  
  
  
  
  
  • Prioritizes high-impact work and maintains focus on practical delivery.
  
  
  
  
  
  
  • Communicates clearly with non-technical stakeholders and builds productive working relationships.
  
  
  
  
  
  
  • Supports others through documentation, training, and steady follow-through.
  
  
  
  Language Skills
  
  
  
  
  • Excellent written and verbal communication skills with the ability to communicate effectively across all organizational levels.
  
  
  
  
  
  
  • Ability to facilitate discussions, influence stakeholders, and communicate complex operational concepts in a clear and actionable manner.
  
  

Education/Certifications

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

What We Offer

• Health Coverage options along with other voluntary benefits


• Enterprise Udemy membership with access to thousands of personal and professional development courses


• 401K with Company match up to 4% or Employee Pension plan


• Competitive pay and year-end bonus potential


• Flexible PTO


• Charitable Donation matching, along with Volunteer and Voting PTO


• Numerous team building activities to promote collaboration in a fun and fast-paced work environment

EEOC Statement

Allvue Systems provides equal employment opportunities (EEO) for all employees and applicants for employment. We recognize the real value of bringing people together from diverse backgrounds, experiences and perspectives - we don't just accept difference, we celebrate and support it. We are committed to advancing these efforts through our strategies to hire, promote, create and support a diverse and inclusive environment throughout our workforce and workplace. It is our policy to prohibit discrimination and harassment of any type without regard to race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. In addition, Allvue will provide reasonable accommodations for qualified individuals with disabilities.