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Software Engineer I - MLOps

Remote:

Full Remote

Contract:

Full time

Experience:

Entry-level / graduate

Work from:

Pakistan

Offer summary

Qualifications:

Fresh graduates encouraged to apply, Strong knowledge in statistics and mathematics, Fluent in Python, SQL, algorithms, Knowledge of Machine Learning theory, Excellent communication skills in English.

Key responsabilities:

Contribute to the development of ML projects
Write clean code using SOLID principles
Engage in end-to-end data science project development
Collaborate with senior data scientists
Design reliable systems across various tech areas

Careem Large https://www.careem.com/

1001 - 5000 Employees

See more Careem offers

Job description

Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Careem is led by a powerful purpose to simplify and improve the lives of people and build an awesome organisation that inspires. Since 2012, Careem has created earnings for over 2.5 million Captains, simplified the lives of over 50 million customers, and built a platform for the region’s best talent to thrive and for entrepreneurs to scale their businesses. Careem operates in over 70 cities across 10 countries, from Morocco to Pakistan.

About the team

At Careem, the mission for the Next Generation of ML Ops Engineers is to help grow our new joint Engineering by learning how to write Clean Code, use SOLID principle techniques, and design reliable systems. Our Programme covers all the areas of Careem tech be it Cyber Security, Data, Machine Learning, Infrastructure, and all the Software Engineering tracks like Backend, Frontend as well as Mobile.

We are looking for prospective data scientists to join our team. If you are interested in end-to-end development of data science projects from idea to production service then this opportunity is definitely for you. Working with a senior team of talented data scientists you will accelerate your professional growth and will gain priceless experience.

What you'll need

Fresh graduates are encouraged to apply!
The ideal candidate will have a passionate commitment to improving the lives of people, an insane focus on excellence and customer service, and a strong alignment with our core values: being bold, focused, agile and collaborative.

Must have:

Strong knowledge of statistics, probability theory, calculus, linear algebra, mathematical analysis, differential calculus
Strong knowledge of Python programing language, SQL, algorithms and data structures
Knowledge of the theory of Machine Learning algorithms
Fluency in English along with excellent oral and written communication skills.

Nice to have:

Hands on experience of development and deployment of ML algorithms
Portfolio of ML projects on GitHub

What we’ll provide you

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a Careem colleague you will be able to:

Work and learn from great minds by joining a community of inspiring colleagues.
Put your passion to work in a purposeful organization dedicated to creating impact in a region with a lot of untapped potential.
Explore new opportunities to learn and grow every day.
Enjoy the flexibility that comes with the trust of being an owner; work in a hybrid style with a mix of days at the office and at home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year.
Access to healthcare benefits and fitness reimbursements for health activities including: gym, health club and training classes.

What we’ll provide you

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:

Work and learn from great minds by joining a community of inspiring colleagues.
Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
Explore new opportunities to learn and grow every day.
Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.