Vaga Machine Learning Engineer Em Campinas

Cargo:

Machine Learning Engineer – Campinas

Hard Skills

Machine Learning Engineer - Main Responsibilities:

• As an MLE, you will work at the intersection of:
• Application of machine learning/deep learning solutions.
• Best in class cloud technology & micro-services architecture.
• Use MLOps best practices that include model serving, data & code versioning.
• As a bonus, you will build new product features from start to finish (e.g. develop & deploy new models served into production systems). You will also have the opportunity to review & influence the engineering design, architecture & technology stack across multiple products, outside your immediate focus.
• You will work on building code that will deploy into production, using code design & style standards.
• You will document your thought process & create artifacts on team repo/wiki that can be used to share with business & engineering for sign off.
• You will review code quality, design developed by your peers.
• You will significantly improve the performance & reliability of our code that create high quality & reproducible results.
• You will also develop internal tools/utils that improve productivity of the entire team.
• You will collaborate with other team members to advance the team’s ability to ship high quality code, fast!
• You should be able to mentor/coach junior team members to continuously upskill them.
• You will maintain basic developer hygiene that includes but is not limited to writing tests, using loggers, and readme files.

What We Are Looking For:

• Academic degree in, but not limited to, Bachelors or Masters in CS, or any engineering discipline. Beyond academic degrees, we give more weight to 5+ years of real-world experience to develop scalable & high quality software.

What We Expect:

• Proficiency with pandas, numpy, scipy, scikit-learn, statsmodels, tensorflow.
• Good understanding of statistical computing, parallel processing.
• Experience with advanced tensorflow distributed, numpy, numba, cudf, cupy, mpi, joblib.
• Good understanding of memory management & parallel processing in Python.
• Good understanding of MKL, BLAS, LLVM, Ray. Profiling & optimization of production code.
• Strong at Python coding. Exposure to working in IDEs such as VSC or PyCharm.
• Experience in working in Agile environment.
• Basic understanding of any public cloud, RESTful APIs & containerization.
• Good foundation in data structures & algorithms.
• Strong experience in code versioning using Git (or alike), maintaining one modularized code base for multiple deployments, automation using CI/CD pipelines.
• Proven experience in distributed/cloud-based environment.
• Experience in internal aspects of run time environments, complex libraries/dependencies, docker containerization.
• Challenges status quo with an owner’s mindset of what can break & think of proactively fixing.
• You have a bias for action & make right trade-offs between engineering design & solving business needs.
• Behavioral Skills That Matter:
• You take full ownership of your projects & understand end-to-end expectations.
• You demonstrate thought leadership at work, assert ideas & influence overall direction of solutions.
• Collaborate with team members, share selflessly & improve the quality of code, models, etc.
• Ability to simplify communicating the output of your work for business, create compelling documentation or any artifacts that connect business to the solutions.
• Portuguese (Must)
• Spanish (Good to have)

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