Senior MLOps Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Spearhead the design and implementation of AI/ML, MLOps, and Agentic AI solutions;

• Create and enhance machine learning models and data pipelines;

• Execute LLM-driven pipelines;

• Deploy models along with vector memory systems;

• Work collaboratively with Data Science, Software Engineering, and DevOps teams;

• Collect requirements from clients and pinpoint technical opportunities;

• Ensure effective communication regarding project status and deliverables;

• Identify opportunities for process enhancements and automation;

• Oversee the maintenance of production AI and MLOps environments;

• Perform other routine tasks within the domain.

⛳️ Requirements

• Extensive experience in Artificial Intelligence, Machine Learning, and MLOps;

• Background as an MLOps Engineer or MLOps Lead;

• Advanced skills in Python development;

• Proficient in Java for integration and enterprise solution development;

• Practical experience with TensorFlow, PyTorch, and TFX for model development and optimization;

• Hands-on experience with Flask and TorchServe for model deployment and management in production;

• Strong familiarity with Google Cloud Platform (GCP), including Vertex AI and Kubeflow;

• Experience in creating, maintaining, and optimizing MLOps pipelines in cloud settings;

• Knowledge of model deployment, real-time inference, and batch processing;

• Background in Model Engineering, focusing on training, validation, and fine-tuning of models;

• Practical experience with Generative AI, NLP, and RAG (Retrieval-Augmented Generation) architectures;

• Understanding of Agentic AI frameworks and tools, such as Google ADK, LangChain, LangGraph, CrewAI, Semantic Kernel, AutoGen, and OpenAI Agent SDK;

• Experience with integrating tools like Gemini Tools and developing custom MCP Tools;

• Familiarity with relational and non-relational databases such as Oracle, DB2, BigQuery, Cassandra, and PostgreSQL;

• Proficiency with GitHub and version control in collaborative settings;

• Required: Completed Bachelor’s degree;

• Preferred: Knowledge of GPU Programming;

• Experience with GPU Profiling and GPU Optimization;

• Knowledge of TensorRT;

• Familiarity with AutoML;

• Experience with advanced architectures for Generative AI and Agentic AI;

• Background in large enterprise environments focused on scalable AI/ML solutions.

🏝️ Benefits

• Comprehensive medical coverage for employees and their dependents through Bradesco or Unimed;

• Dental coverage with nationwide reach;

• Meal or food voucher (employee's choice);

• Childcare allowance;

• Life insurance for employees and their dependents;

• Gympass access for employees and dependents;

• Employee Assistance Program (EAP) offering services such as Financial, Legal, Social, and Psychological Assistance (available 24/7);

• Discounts and special rates with universities (Mackenzie, SENAC, FIA, FIAP, and BBS Business School) and language schools (CNA, Cultura Inglesa, Wizard, CCAA, Indeed);

• Financial benefits through discounted fee packages and special rates with Itaú and Bradesco banks;

• Option for payroll-deductible loans, with repayments directly taken from the employee's salary;

• Reimbursement program for specific external certifications;

• Training: The company offers a comprehensive online and in-person training and development platform covering over 15,000 topics including soft skills, technologies, and domains;

• Longevity awards: The company recognizes employees for their dedication and loyalty throughout their tenure (at 3, 5, and 10 years, and every 5 years thereafter);

• Employee referral bonus – a reward for each successful hire;

• Fit4life – A program promoting physical exercise among employees, featuring scheduled online functional training;

• Opportunities for international experience: Depending on skills and business needs, you may apply for positions abroad (within and outside Latin America);

• And more.