Lead Machine Learning Engineer managing ML Ops and technical leadership at Wiremind, a transport technology company optimizing capacity for clients like SNCF and United Airlines.
About the role
- Machine Learning Engineer at Plaid focusing on designing and implementing AI/ML models. Collaborating with teams to innovate in the financial technology space.
Responsibilities
- Build with impact. Your work will empower millions of users through well-known and emerging Fintech Applications with access to financial services.
- Experiment with cutting edge ML modeling techniques.
- Work on both 0-1 stage problems as well as 1-10.
- Develop AI/MLmodels in a full life cycle, from offline training to online serving and monitoring.
- Collaborate with teams across Plaid to define ML roadmap.
- Dive deep into data and apply data driven decisions in day-to-day work.
- A high ownership, bottom-up driven team.
Requirements
- 5+ years in training and serving AI/ML models in a production environment.
- Experience in building/working with data intensive backend applications in large distributed systems.
- Ability to code and iterate independently on top of data infrastructure tools like Python, Spark, Jupyter notebooks, standard ML libraries, etc.
- Take pride in taking ownership and driving projects to business impact.
- Data analytics and data engineering experience is a plus.
- Experience with the industry application of NLP is a plus.
- Experience with the FinTech industry is a plus.
- Ability to work with technical and non-technical teams
- Master's degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field.
Benefits
- Comprehensive benefit plan, including medical, dental, vision, and 401(k)
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