Job details
Job type part-time
Full job description
Machine learning engineer at ambitionary.com
Ambitionary is on the forefront of an emerging trend called ‘micro-employment.’ what is micro-employment? it is exactly what it sounds like: smaller-scale jobsBut why? there are a number of reasons both candidates and companies alike would enjoy this work arrangement! one of the main reasons is for both parties to see if their work arrangement is going to be a match before fully committing to 40+ hours per week with one anotherIt may be ‘try before you buy’ with a company, but for today’s highly sought-after job seeker who knows fully well how valuable their skills are, our jobs are ‘try before you commit.’
Company info: tech start-up, series-b funded and above
Job location: remote
Time commitment: less than 20 hours per week
Type of position: project-to-hire
Pay: hourly pay while working for ambitionary; upon full-time hiring, this startup will have a combination of salary, benefits, equity and possible bonuses.
Role details
This position will become part of our critical machine learning team, responsible for the systems that tie everything together into production for our customersThe main goal of the role is to scale, maintain and optimize our model training pipelines across regionsTo do this, we use docker, lambda, ray and airflow for our distributed processing frameworksYou`ll work closely with the other team members, contributing in mlops areas such as data validation, monitoring and deployment.
What we would consider beneficial experience:
Previous knowledge or experience in data engineering/bi/dw (etl & databases); recent usage of python ml stack, including numpy, pandas, scikit-learn, and ml-libraries, model development and testing; data analysis, including notebook-based eda
Required qualifications:
3 years in software development
Bachelor’s degree in computer science, engineering, or similarly-focused quantitative discipline
Required proficiencies:
3 years in python and bash
Software engineering core skills (oop&fp, unit testing, versioning, encapsulation, maintainability)
Orchestration frameworks, such as airflow, ray, celery, kubernetes
Docker, git and aws
Ops experience, including ci/cd
Ml model training and deployment
Computer science, including complexity theory
This position is available only to candidates currently eligible to work in the united statesAmbitionary arranges paid project work for candidates and employers to evaluate each other’s fit prior to permanent employment.
Job type: part-time
