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:

Classical ML & Production Systems:

- Design and deploy forecasting and time series prediction models in production;

Build reproducible ML pipelines on Databricks Model Serving with model registration and versioning;
Develop feature engineering workflows and experiment tracking via MLflow;
Monitor model drift and implement automated retraining strategies

Generative AI & Agentic Systems:

- Develop LLM-powered applications using prompt engineering and function calling;

Implement multi-step agentic workflows using orchestration frameworks (e.g., OpenAI Agent SDK, CrewAI, LangGraph);
Design evaluation frameworks to assess LLM outputs and agent behavior in production;
Build data pipelines for model fine-tuning and evaluation dataset preparation

Infrastructure & Deployment:

- Deploy ML solutions on Azure Databricks and Azure Machine Learning;

Containerize and orchestrate workflows using Docker and Kubernetes;
Implement observability and tracing for model and agent performance;
Collaborate with teams to integrate ML components into microservices architectures

Who You Are:

4–5 years of professional experience in machine learning or AI-focused roles (or equivalent demonstrated production ML work);

- Bachelor's or Master's degree in Computer Science, Data Science, or related field (or equivalent professional experience);

Strong Python proficiency and solid object-oriented programming fundamentals;
Experience building and deploying time series forecasting and prediction models;
Hands-on experience with production ML workflows and Databricks;
Solid understanding of LLMs, prompt engineering, and agentic system design;
Proficiency with cloud platforms (Azure) and containerization (Docker, Kubernetes);
Experience with model evaluation, monitoring, and drift detection;
Knowledge of workflow orchestration tools (e.g., Apache Airflow);
Ability to write high-quality, maintainable code with comprehensive testing;

- Fluent in Portuguese and English;

Preferred Qualifications:

Experience deploying LLM applications and agentic systems in production;
Familiarity with observability platforms for LLM tracing (e.g., Langfuse or similar);
Understanding of cost optimization for LLM inference and token caching;
Experience with multi-agent orchestration and tool-use patterns;
Exposure to DevOps practices and CI/CD pipelines

What you'll get:

Wage according to candidate's professional experience;

- Remote Work whenever possible;

Delivery of work equipment adjusted to the performance of functions;

- Benefits plan;

- 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!

Originally posted on Himalayas

Mid AI & ML Engineer at LUZA Group