Machine Learning Engineer

Build the AI that Powers Private Equity Connections
At BluWave, we run the leading marketplace that connects private equity firms and top business leaders with elite, third-party service providers. Data and AI are the engine behind our success, and we're looking for a Machine Learning Engineer to be at the heart of it.

As our new Machine Learning Engineer, you will architect and evolve the core recommendation systems that drive our business. You'll join a nimble, hands-on technology team where your ideas move quickly from concept to production. The systems you build will directly influence high-stakes investment decisions and make a measurable impact in the real world.

Our Tech Stack
Our current tech stack includes Python, Docker, and Azure, interacting with Snowflake and Milvus. We're always evolving and welcome your expertise with related technologies (e.g., AWS, Java, Pinecone, Databricks).

What You'll Do

• Own the ML Lifecycle: You will design, build, and operate the end-to-end lifecycle of our recommendation engine, from research and prototyping to deployment, monitoring, and continuous improvement.
• Innovate and Experiment: You'll have the autonomy to explore the frontiers of ML/AI, prototype cutting-edge solutions, and directly influence our technical roadmap.
• Collaborate and Build: Work within a collaborative and experienced technology team, led by a hands-on technical manager, to build elegant, high-impact solutions.

What Success Looks Like

• 3 Months: You are comfortable with our workflows and can complete well-scoped tasks with minimal guidance.
• 6 Months: You navigate our codebase with confidence, deliver features independently, and are an active voice in technical discussions.
• 1 Year: You are a key driver of innovation, proactively generating new project ideas based on business needs and the latest research.

Qualifications

• BS/MS in Computer Science, Machine Learning, Physics, or another quantitative field.
• 2-3 years of professional experience building and deploying machine learning models (or equivalent experience through research, internships, or significant personal projects).
• Proficiency in Python and its core data science libraries (e.g., scikit-learn, pandas, numpy).
• Experience building and maintaining APIs for data-centric applications (e.g., FastAPI, Flask).
• A strong foundation in software engineering best practices, including version control (Git), testing, and writing clean, maintainable code.
• Experience with Docker and deploying containerized applications.
• Proficiency with SQL for data querying and analysis.

Preferred Qualifications

• Prior experience contributing to a production machine learning system.
• Experience with vector databases (e.g., Milvus, Pinecone) and an understanding of modern search and recommendation techniques.
• Experience applying LLMs to solve real-world problems.

Nice to Haves

• A portfolio of personal or open-source projects that showcases your passion and problem-solving skills.
• Experience using AI-powered coding assistants.

The BluWave Values  

We place great importance on adding team members that align with our company values. We live and breathe these every day, and we are looking for someone to join the team who appreciates the importance of company values and culture as much as we do.  

• Team: We’re a “we” not “me” people 
• Value: We bring value with value 
• Grow: We are always growing our business and our selves 
• Win: Winning for our clients  

BluWave is a top tier destination for differentiated individuals to grow their long-term careers. We are building the best intelligent B2B marketplace in the world. 

BluWave encourages anyone to apply to join our team. BluWave is an inclusive workplace that considers all applicants regardless of gender, race, ethnicity, sexual orientation or identification, background, disability or status.  

Future Opportunities

As BluWave grows, numerous opportunities will present themselves to talented, ambitious, team-oriented individuals who have proven themselves in this role. Please include your resume and a cover letter to let us know why you would be a good fit for this position. 

Job Type: Full-time