DevRev

Machine Learning Engineer – Direct Recruitment | BYT

13 November 2024
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Deadline date:
£67000 - £125000 / year

Job Description

We are BYT, a specialized tech recruitment company launched in December 2021, with the ambition of achieving success for over 3 years, coupled with experienced management team of over 15 years.

During this time, we successfully delivered more than 400 specialized recruitment processes for 20 clients in Portugal and internationally. Our expertise stems from our deep knowledge of market expectations, business needs, and candidate motivations.

BYT uses innovative techniques to attract and maintain the best people. We make sure we get the right fit for each team and project. For us, success is about getting the right fit for you.

BYT: Boost Your Team

Function: Machine Learning Engineer

  • Location: Portugal
  • Type of work: Remote
  • Type of contract: Direct Contractual link with the client

Tasks

  • You’ll develop machine learning algorithms in the applicable systems, applying the best-use principles of machine learning to the design, development, maintenance, testing, and evaluation of the software.
  • Our team works in an agile way, and you’ll be part of the rituals and practices.
  • You’ll document your work and ensure that your documentation is clear and understandable for future use by others.
  • You’ll make sure the software you develop is secure and safe with regards to information security and personal data.
  • We expect you to actively participate in meetings and projects and coordinate with your team members. We also expect you to continue to develop yourself and keep abreast of new developments.
  • You’ll run, get involved with, and help out colleagues on other projects as needed.

Requirements

  • 5+ years of professional experience in Information Technology
  • 3+ years of experience designing, developing and deploying Machine Learning models in a production environment
  • Strong background in mathematics and statistics
  • Exposure to developing NLP solutions over opensource platforms
  • Exposure to common machine learning, data, math, and visualization libraries
  • Exposure to different coding environments (local, notebooks, containers) and software engineering workflows (testing, code management/Git)
  • Proficiency in Python
  • Understanding of relational databases such as SQL, MySQL, PostgreSQL
  • Familiarity with a cloud environment (AWS) and containerised environment (Kubernetes, Docker) and CI/CD (ArgoCD, AWS Code Pipelines)