Syffer is an all-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans all around the world, making change, from the inside to the outside.
We believe that technology + human kindness positively impacts every community around the world. Our approach is simple, we see a world without borders, and believe in equal opportunities. We are guided by our core principles of spreading positivity, good energy and promote equality and care for others.
Our hiring process is unique! People are selected by their value, education, talent and personality. We dont present ethnicity, religion, national origin, age, gender, sexual orientation or identity.
Its time to burst the bubble, and we will do it together!
What You'll do:
- Transform prototypes and notebooks into production-ready inference pipelines (batch or real-time);
- Optimize models for low-latency execution and efficient resource usage;
- Develop pre- and post-processing logic for model input/output data;
- Ensure testability, versioning, and traceability of models in production;
- Collaborate with MLOps teams to integrate with CI/CD pipelines and continuous retraining processes;
- Work with Data Engineers to integrate with Feature Stores and real-time data sources;
- Ensure compliance with security and regulatory requirements (e.g., logging, auditability, validation);
- Hybrid Work Model.
What You Are:
- Bachelors or Masters degree in Computer Engineering, Data Science, or related fields;
- 4+ years of experience in developing and deploying machine learning models in production;
- Practical knowledge of frameworks such as MLflow, TensorFlow Serving, TorchServe, ONNX Runtime, or equivalents;
- Experience with model serialization, optimization, and deployment (e.g., LightGBM, XGBoost, scikit-learn, PyTorch);
- Ability to work in a multidisciplinary team with Data Scientists, MLOps, and Data Engineers;
- Previous experience in personalization, recommendation engines, or real-time decision systems is a strong plus.
What youll get:
- Wage according to candidate's professional experience;
- Remote Work whenever possible;
- Allocation of health insurance from the beginning of the employment;
- Delivery of work equipment adjusted to the performance of functions;
- And others.
Work together with expert teams on projects of large magnitude and intensity, long term together with our clients, all leaders in their industries.
Are you ready to step into a diverse and inclusive world with us?
Together we will promote uniquess!
