We are seeking a hands-on Tech Lead to be the first technical hire for our newly formed ML team. This is a unique ground-floor opportunity to build something from scratch and have direct influence on the technical direction of our ML capabilities. This role combines deep technical expertise with foundational leadership, requiring someone who can architect solutions, establish technical standards, and lay the groundwork for future team growth. As our founding ML tech lead, you'll have the opportunity to shape our technology choices, define our technical practices, and build the fundamental skill set that will guide the team as we scale.
What youll do:
Shape the technical foundation: As our first ML hands on hire, choose and establish the team's core technology stack, frameworks, and development practices together with the ML leader
Build from the ground up: Design and implement our initial ML infrastructure, data pipelines, and model deployment frameworks
Define technical standards: Establish coding standards, best practices, and processes that will guide future team members
Hands-on development: Lead by example through direct development and deployment of ML models and data science solutions
Partner with stakeholders: Work closely with business teams to identify initial ML opportunities and build foundational proof-of-concept models
Establish MLOps practices: Set up our model development, testing, deployment, and monitoring workflows from scratch
Recruit and onboard: As the team grows, play a key role in technical interviews and help onboard new ML engineers and data scientists
Create team culture: Help establish the team's technical culture, learning practices, and collaboration methods
Technology evaluation: Research and select the tools, platforms, and technologies that will form our ML tech stack
Document and share knowledge: Create foundational documentation and knowledge-sharing practices for the growing team.
Requirements: 6+ years of hands-on experience in Machine Learning, Data Science, or related technical roles in the industry
Entrepreneurial mindset: Excited about building something new and comfortable with the ambiguity of a startup-like environment within a larger company
Proven track record of building and deploying machine learning models in production environments
Technology leadership experience: History of making technical stack decisions and establishing development practices
Strong proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn) and programming languages (Python, SQL)
Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools and practices
Team building skills: Ability to establish technical culture and practices that will scale with team growth
Excellent communication skills with ability to explain technical concepts to stakeholders and influence technical decisions
Self-starter mentality: Comfortable taking ownership, making decisions, and driving initiatives independently
Master's degree in Computer Science, AI, Data Science, Mathematics, or related quantitative field- PhD is a plus
Experience in fintech or financial services is a plus
Bonus: Experience being a founding engineer or early hire in a technical team.
This position is open to all candidates.