Machine Learning Engineer - ML Ops
Builder.ai - What would you Build?, United Kingdom

Experience
1 Year
Salary
0 - 0
Job Type
Job Shift
Job Category
Traveling
No
Career Level
Telecommute
No
Qualification
As mentioned in job details
Total Vacancies
1 Job
Posted on
Jun 30, 2023
Last Date
Jul 30, 2023
Location(s)

Job Description

About us

Innovation is fuelled by the power of possibilities. A few years ago, it was virtually impossible to innovate because building software needed a degree, it was simply too expensive, too complex, too risky and ultimately too inefficient. That’s why only 16% of projects were ever done on budget and 78% failed.

We're changing that. We’re flipping software development on its head and kicking out the notion that you need to be an expert or do boot camps to learn how to make your app. Builder.ai’s platform lets you order the perfect software app for whatever problem you’re trying to solve. Our AI powered assembly line brings together Lego-like reusable features and experts from around the world to bring world-class ideas to life ANYONE’s world-class ideas.

Building software needs to be like ordering pizza pick what you want, get recommendations for the features you need and simply wait till it's cooked and ready for you.

Our human-assisted AI platform helps anyone build, run amp; scale tailor-made software. Everyone from the bakery in Riyadh and nursery in London, to large fortune 100 companies like the BBC or Pepsi.


Life at Builder

It’s a place where everything moves at lightning pace and most definitely not for the faint hearted. We celebrate diversity, push everyone to do more with less and yet provide a culture that allows everyone to experiment, push boundaries and learn by doing. Every Builder runs to our core value system of HEARTT (Heart, Entrepreneurship, Accountability, Respect, Trust amp; Transparency) and we’re always looking for team players, with a point of view, a sense of humility and a let’s-get-stuff-done attitude.

Our scale up is at the intersection of a quirky startup where designers and machine learning specialists work on problems together to savvy commercial teams working with finance folks to invent new business models. #WhatWouldYouBuild


Why We Need This Role

We are looking for a Machine Learning Engineer to help us maintain and expand an ecosystem of microservices developed within the Intelligent Systems Group. This includes ensuring robustness and scalability of AI-based APIs, as well as data and model training pipelines.


Why You Should Join

This is a challenging and diverse role that will involve working on existing as well as new services aimed at further automating our software development lifecycle. From applications leveraging our knowledge base to inform better decisions across the business and customer journey to the conversational AI systems behind our chatbots. Only join this role if you are craving rapid growth, able to create a path in unchartered territory, and comfortable with trying, failing, and course-correcting fast.


First Six Month Deliverables

  • Familiarise with our existing code-base as well as our development/deployment processes
  • Support the maintenance and monitoring of the ecosystem of microservices owned by the Intelligent Systems Group
  • Gradually build ownership of data pipelines and contribute to their productionisation
  • Contribute to the full migration of our services from VMs to Kubernetes clusters
  • Develop a unified framework to stress test services

Our Tech Stack

  • Python
  • SQL
  • Cypher
  • Git/Gitlab and CI/CD workflows
  • Docker and Kubernetes
  • AWS, Azure

Requirements

  • Computer Science or Software Engineering degree / BSc or higher
  • Strong Python coding experience
  • Experience with the SQL querying language
  • Experience working with Docker both in development and deployment environments
  • Experience reading/implementing CI/CD workflows
  • Experience with software engineering best practices: unit testing (with mocks), code reviews, design documentation, excellent debugging, troubleshooting skills
  • Excellent communication amp; drive to learn and experiment
  • Passionate about loosely held values and ideas. We want someone who has experience but is not blinded by the path already taken.
  • Makes decisions based on data and evidence.

Added bonus:

  • Background in running kubernetes
  • Experience with Graph databases
  • Hands-on experience in all facets of automation and systems architecture, with particular focus on Linux and open source technologies
  • Experience with GitLab
  • Experience working in Cloud environments, in particular Azure or AWS

Benefits

  • Performance-based bonuses paid on a quarter-by-quarter basis
  • Stock options in a $250 million funded Series D scale-up company
  • Private medical amp; dental insurance provided by AXA
  • Generous pension contribut

Job Specification

Job Rewards and Benefits

Builder.ai - What would you Build?

Information Technology and Services - Dhaka, India
© Copyright 2004-2024 Mustakbil.com All Right Reserved.