Machine Learning Software Engineer

icon building Company : Lendbuzz
icon briefcase Job Type : Full Time

Number of Applicants

 : 

000+

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Job Description - Machine Learning Software Engineer

Lendbuzz provides auto financing to deserving borrowers who have recently arrived to the USA . We are a diverse team in gender, nationalities, and cultures, speaking over half a dozen languages and representing just as many countries. We are incredibly passionate about helping our clients and the growth path of our company.
The candidate we're looking for is used to delivering value to the end-user. You're very comfortable coding and accustomed to producing with urgency.
You've most likely been through several roles at several companies. You're at a stage in your career where process and tools have become important to you. You feel strongly about pulling the team up to your standard rather than sinking to the status quo.
We expect the candidate that fits in well at Lendbuzz to see technology and coding as a craft. You're passionate about pushing tests into releases, even the rushed ones, even just a few. You keep abreast of new technologies in your sphere of interest because it's all still fun for you.
Qualifications:

M.S or Bachelors with 2+ years of experience in industry
Strong grasp of software engineering principles and OOPS concepts
Intimate familiarity with Python, PostgreSQL, FLASK, REST and Linux
Ability to work in teams as well as independently
Experience with SQL and Python is a must
Able to convert functional logic into code is a must
Experience designing and implementing APIs
Experience working with micro-services - advantage
Strong grasp of CS and ML foundation and core concepts
Knowledge of numpy, scipy, pandas and other python ML libraries
As a Machine Learning Software Engineer, you will:

Build big functional pipelines using Software Development principles
Design and implement the architecture, business logic and deploy the end to end pipelines
Analyze Machine Learning models and devise research methods to solve bleeding edge problems
Integrate Machine Learning models with other teams for seamless deployment
Why Us:

Learn how we leverage technology to underwrite smart car loans
High impact roles in a small fast growing company
Solve unique problems as we grow together
Opportunity to lead your own projects
Awesome work culture - stacked kitchen, fun game nights, movie nights and whatever you can think of doing as a team
Flexible working hours
$110,000 - $140,000 a year Apply for this job
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