Senior Machine Learning Engineer - Remote

Description

### **Role in the Company** The Senior Machine Learning Engineer at Dataside serves as a technical leader in designing, developing, and operationalizing ML and AI solutions in cloud environments. This role is responsible for architecting robust systems, defining standards, and implementing efficient ML/AI/LLM Ops processes. Beyond delivering technical solutions, this professional plays a strategic consulting role—analyzing and gathering requirements necessary for high-quality, reliable deliverables—and also mentors less experienced team members. ### **Responsibilities** Architect cloud-based ML/AI solutions. Create and maintain CI/CD pipelines for model deployment, ML/AI pipelines, and ML/AI applications. Implement and optimize ML/AI/LLM Ops processes. Define standards and processes for developing ML/AI solutions. Mentor junior professionals. ### **Requirements** Solid experience in Machine Learning and Generative AI projects. Advanced knowledge of MLOps. Proficiency in software engineering (SOLID, Clean Code, Clean Architecture). Experience with CI/CD, Git version control, and automated deployment. Ability to architect cloud solutions for ML/AI projects. ### **Hard Skills** Git. Python. SQL and NoSQL databases. REST API development (FastAPI, Flask). Cloud services (Azure, AWS, GCP, Databricks). Knowledge of data science development processes and libraries (Pandas, scikit\-learn). Feature Store. Generative AI model services (OpenAI, Gemini). Generative AI application development tools (LangChain, LangGraph, CrewAI). Experience with vector databases (Azure AI Search, MongoDB, Qdrant). Docker, Kubernetes. CI/CD. ML pipeline tools (Azure ML, AWS SageMaker, GCP Vertex AI). Proficiency in software engineering (SOLID, Clean Code, Clean Architecture). Infrastructure-as-Code (IaC) tools (Terraform). ### **Soft Skills** Leadership. Mentoring. Communication with developers and business stakeholders. Conflict resolution. Strategic thinking. Decision-making. ### **Desirable Certifications** AWS: Machine Learning Engineer Specialty. GCP: Professional Machine Learning Engineer. Databricks: Machine Learning Engineer Professional. **What We Offer:** * **Medical allowance:** Monthly stipend to support your private health insurance plan. * **Wellhub**, to keep your body and mind active—your way. * **Online therapy**, fully covered by the company, because mental health matters. * **Online nutrition consultations**, up to two sessions per month to support your dietary health. * ️ **Life insurance**, with a policy value of R$ 125,000, providing greater security for you and your family. * **Birthday day off**, because your special day deserves to be celebrated. * **Paid time off**, so you can recharge and rest. * **Internal gamification**, turning achievements into rewards and recognition. * **Educational partnerships**, with institutions such as FIAP, Anhanguera, and Instituto Infnet, to support your growth and learning. * **Technical certification bonus**, recognizing and rewarding your effort to learn. ***We value every voice and every individual, because we know diversity makes us more innovative and stronger.***