Machine Learning Operations Engineer (Mlops/Devops)
Takealot Online (Pty) Ltd.
Cape Town, Western Cape
1d ago
source : findojobs-za, a leading South African online retailer, is looking for a highly talented MLOps Engineer to join our team.We are a young, dynamic, hyper growth company looking for smart, creative, hard-working people with integrity to join us.

We offer a market related, Total Remuneration Package which allows full flexibility according to your needs, a great work environment and a promise that you wont be bored as long as you are prepared for a challenge and want to build something great.

Think youve been challenged before? Think again!Scale : Over 2.5 million happy shoppers shop online on Show them what you can do.

Learn : We work with the best of the best, and then some. Code alongside industry leaders and upskill in record time.Grow : Expand your career in the fast-growing Takealot Group : takealot.

com, and Mr D Food. We like to promote from within : Heres your chance.The position reports to the Engineering Manager (Machine Learning).

Your responsibilities will include : We are looking for an experienced MLOps Engineer to join a versatile and creative management and development team.

MLOps is considered a specialisation within the DevOps domain.You will provide and take responsibility for a stable, efficient and scalable platform to multiple machine learning teams of software engineers constantly striving for quality solutions that are delivered on time, within budget and scope.

You will also work closely with data engineering teams.You will need a strong understanding of large-scale , data-intensive platform development and have first-hand experience with cloud platforms, data pipeline platforms, large-scale analytical databases, and ML platforms, libraries and tools.

You will be from a development background and have a good understanding of architectural practices.This is an exciting opportunity to contribute to a growing team of machine learning engineers working on Takealot.

com's ambitious development roadmap.This is a hands-on role where you provide a platform for other machine learning engineers to quickly perform experiments and productionise machine learning models.

The remainder of your time you will be performing architectural and strategic planning with peers and senior developers.

Basic Qualifications & ExperienceBachelors Degree in Computer Science, Mathematics, Engineering or a related field or related experience and a minimum of 3 years of Software Development (DevOps or MLOps) experience is required.

In the event that a candidate does not have a Bachelors Degree or an Advanced Diploma (in Computer Science, Mathematics, Engineering or a related field), an equivalent experience requirement must be met, which equates to a minimum of 6 years of Software Development (DevOps or MLOps) experience.

Experience working within an agile team that is operationally hands-on, and an advocate of that culture.Excellent problem-solving skills.

Experience with scripting and automation in a DevOps environment (Python, Bash, Jenkins).Experience in managing distributed analytical systems.

Experience with vendor integrations.Experience with the operational management of Kubernetes, Terraform, BigQuery, Dataform and Kubeflow.

Experience providing environments for running scikit-learn, Pandas, TensorFlow suite, PyTorch and Jupyter Notebooks.Preferred Skills & ExperienceSignificant technical experience and a proven track record of system architecture development and ownership of cloud platforms.

Experience working with Big Data : data volumes, variety, velocity and veracity.Experience with training pipelines and pipeline orchestration with regard to model training and experimentation.

A thorough understanding of operational engineering best practices, covering system scalability, distributed systems, system and data security, access controls, data privacy and automation practices (such as Continuous Training / CT).

An understanding of software deployment tools, deployment strategies and model serving.Experience with SQL in a high-load environment.

Experience working with Kafka.Experience with providing a platform for running RESTful API web services and microservices.

Experience with gRPC, Google Protocol Buffers or similar technologies.Experience with serverless technologies.Bonus Skills & ExperienceThese skills and experience, in addition, would be considered exceptional : Experience with feature stores, and data and model versioning systems (e.

g. DVC).Experience with novel databases, such as vector databases (Milvus, Vearch).Experience with monitoring and alerting on model drift and performance .

Lets talk about life Takealot GroupThe power is in your hands : We offer a market-related, Total Remuneration Package which allows full flexibility according to your needs.

Go on, be the master of your own destiny.No doors : We arent fans of stuffy offices or siloed work environments. See someone you like?

High five, collab and make something great.Remote working : Love water cooler chats and working from home? offers a hybrid working model for the best of both worlds.

Mentorship programme : We arent kidding when we say the people with the best people win. Nows your chance to be one of the best, by learning from the best.

Naspers Tech Community & Online Learning : Share ideas and grow with global industry leaders who are all just a Slack message away.

Love to learn? Up-skill with free access to courses on MyAcademy, Udacity, Coursera and more.Good times : Get to know the other extraordinary minds at takealot.

com during regular social events and out-of-office activities (think hikes, think mini golf, think good times).Staff discount .

Millions of products across 28 departments. What more could you ask for?Birthday leave : Cake Day all the way. Enjoy your day off - you deserve it.

Right tools, right job : Mac or Windows, two monitors or one. Whatever your preference, youll work on the latest tech, off the latest tech.

Help when you need it most : Confidential counselling, legal support and financial guidance, for free, anytime, anywhere.

Tech stack (for days) : ReactJS, Python, Scala, Kotlin, Swift, Google Cloud, Kafka, Redis, Kubernetes and all things machine learning.

If you build it, they will come.Free parking : No more 5km fun runs to your desk (unless you want to).Like what you see?

If you meet the above you are an Extraordinary Mind. Apply today!!Takealot is an Equal Opportunity Employer. Applicants from the previously disadvantaged groups and people with disabilities will be given preference.

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