.NET & AI/ML Software Engineer

Luza 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:

- Design, develop and maintain backend services using C# and .NET/.NET Core; 

- Translate business requirements into reliable software and AI/ML solutions; 

- Prepare datasets, define features and select suitable modelling approaches;

- Build, train, fine-tune and evaluate different types of machine learning models;

- Work with models such as classification, regression, NLP, time-series, anomaly detection, computer vision and deep learning;

- Develop production ML pipelines using Python and frameworks such as PyTorch, TensorFlow or scikit-learn; 

- Deploy models through cloud endpoints, APIs, batch pipelines or edge applications; 

- Monitor model performance, data quality and service behaviour in production;

- Apply model versioning, experiment tracking and, where required, retraining processes;

- Develop LLM-based solutions using GPT, Transformers, Hugging Face, RAG and prompt engineering; 

- Create proofs of concept using tools such as Jupyter notebooks;

- Design cloud-based architectures using Azure, AWS or equivalent services; 

- Use services such as Azure Machine Learning, Azure AI, AWS SageMaker, AWS Bedrock or Vertex AI; 

- Containerise applications and ML services with Docker and Kubernetes; 

- Contribute to CI/CD and MLOps practices; 

- Apply AI governance, security, privacy and guardrail principles; 

- Conduct code reviews, document technical decisions and mentor other engineers;

- Work with Product Owners and cross-functional teams to deliver agreed outcomes;

- Support production incidents, respect SLAs and identify technical debt;

- Work Model On-site.



Who You Are:

- Bachelor's or Master's degree in Computer Science, Engineering, Data Science or a related field;

- At least 5 years of professional software engineering experience; 

- At least 5 years of hands-on experience with C# and .NET/.NET Core;

- At least 3 years of hands-on experience in Machine Learning, AI Engineering or Data Science; 

- Strong Python skills for data processing, model development and ML pipelines;

- Proven experience building, training and deploying at least 2 different types of ML models beyond LLM and RAG applications;

- Practical experience with PyTorch, TensorFlow and/or scikit-learn; 

- Experience with model evaluation, experiment tracking, model versioning and production monitoring;

- Experience deploying ML models through Azure, AWS or Google Cloud;

- Knowledge of Azure ML, Azure AI, AWS SageMaker, AWS Bedrock, Vertex AI or similar services;

- Experience with Docker, Kubernetes and CI/CD pipelines;

- Knowledge of MLOps practices and production model operations;

- Experience with NLP, LLMs, Transformers, Hugging Face or prompt engineering;

- Good understanding of API security, AI governance and data privacy;

- Experience with microservices, databases and high-volume backend systems;

- Experience working in Agile or Scrum teams;

- Fluent English.



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!