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Open nowFirst seen 34 hours ago

Machine Learning Engineer

Boardroom Appointments3,354 open roles

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Your applicationOpen nowMachine Learning EngineerBoardroom Appointments

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Boardroom Appointments's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 34 hours ago

The posting

Experience

Minimum: Proven experience in:

  • 2+ yrs software development experience
  • Strong analytical and problem-solving skills
  • Expert in Python and SQL
  • Experience with the modern software development best practices, e.g.agile software development code reviews unit testing version control, e.g. git CI/CD
  • Experience with microservice architectures
  • Experience working in an agile team
  • Experience with ML frameworks and tools (e.g. pandas, numpy, scikit-learn, TensorFlow, Pytorch, Spark MLlib)
  • Experience with modern ETL, compute and orchestration frameworks, e.g. Apache Spark, Apache Flink, Apache Kafka, etc.
  • Development experience in both Windows and Linux
  • Experience with container technologies, e.g. Docker, Kubernetes

Ideal:

  • Experience in building machine learning or AI systems
  • Proficiency in R language
  • Experience deploying models to production
  • Experience building distributed systems
  • Experience with NoSQL databases
  • Experience working with ML platforms, e.g. MLflow, Kubeflow, etc.
  • Experience working with Data Science platforms, e.g. Dataiku, Domino, etc.
  • Experience with cloud-based infrastructure, e.g. Azure, AWS, GCP; ideally AWS

Qualifications (Minimum)

  • A relevant qualification in Information Technology - Computer Science or Engineering

Qualifications (Ideal or Preferred)

  • Masters Degree in Information Technology - Computer Science or Engineering - Other

Knowledge

Min: Must have knowledge of:

  • Object oriented and functional programming in Python
  • Modern software development practices
  • Database querying using SQL
  • Data life cycle
  • Machine learning concepts
  • Machine learning model life cycle
  • Microservice architectures

Ideal: Knowledge of:

  • Data Science lifecycle
  • Distributed system design
  • Big data storage and processing solutions
  • Machine learning model architectures

Skills

  • Analytical Skills
  • Decision making skills
  • Planning, organising and coordination skills
  • Problem solving skills
  • Researching skills
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Boardroom Appointments's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Boardroom Appointments's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Boardroom Appointments's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

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Straight answers

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What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

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