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BEES

Mid Level Machine Learning Engineer

BEES · Campinas, São Paulo, Brazil

Posted about 3 months ago

or apply directly on BEES's site. We never take the application ourselves.

Is this posting real?

This role has been open
77 days
BEES's roles stay open a median of 61 days
Reposted
No
Salary listed
No
0% of BEES's roles list one
Ghost-job risk at BEES
high
45 stale, 5 reposted of 70 open
Hiring momentum
101 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-25

Measured from postings appearing on and disappearing from BEES's own greenhouse board since 2026-08-03. Full hiring picture for BEES.

About this role

As an Intermediate Machine Learning Engineer at BEES, you will implement and enhance machine learning platform capabilities, focusing on training jobs and inference services. Your role will involve developing components for the ML model development workflow, ensuring observability for models, and supporting optimized model deployments. Additionally, you will troubleshoot issues and document solutions while collaborating with various teams.

Our read on this posting2.8out of 5
benefits
5/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of BEES as an employer.

What you need

  • Bachelor’s degree in computer science, engineering, mathematics, or another quantitative field
  • Practical experience with ML platform components (e.g., feature pipelines, model registries, training and inference workflows)
  • Solid software engineering fundamentals: clean code, testing, CI/CD, and maintainable system design
  • Python, PySpark, and SQL
  • Experience with Kubernetes, Databricks, Terraform, Azure DevOps (Git), Azure Cloud, and ML frameworks/libraries such as Scikit-learn, PyTorch, TensorFlow, ONNX, and serving tools (BentoML, Kedro, Seldon, KServe, Triton Inference Server, etc.)
  • Comfort collaborating across teams and communicating technical tradeoffs clearly

Nice to have

  • Exposure to Java

What you get

  • Performance based bonus*
  • Attendance Bonus*
  • Private pension plan
  • Meal Allowance
  • Casual office and dress code
  • Days off*

Worth weighing

  • No salary listed
  • Performance based bonus and attendance bonus are contingent on rules
  • Casual office and dress code may imply a relaxed work environment but could also mean less structure

Summarised from BEES's posting. Read the full original.

Listed by BEES on their greenhouse job board, last confirmed open on 2026-10-25. PitchMeAI is not the employer.

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