Senior Machine Learning Engineer at Itaú, driving innovation with data and AI solutions. Collaborating across teams to implement robust machine learning architectures and ensure scalable deployments.
About the role
- Senior ML Engineer developing AI agents and workflows using cutting-edge technologies at Shopmonkey. Collaborating with engineering team to enhance automotive care experience through intelligent solutions.
Responsibilities
- Build and ship production-ready AI agents that automate key workflows (e.g., appointment setting, inventory ordering).
- Design and implement workflows and scripts for agentic conversations based on real-world data.
- Perform discovery with your Squad on key customer use cases and guide the development of use-case-driven agents.
- Conduct end-to-end development including data gathering, hypothesis testing, prototyping, demoing, productionizing, and monitoring.
- Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
- Design evaluation agents to enhance the quality and coherence of autonomous conversations.
- Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
- Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
- Translate complex ML workflows into digestible updates for cross-functional stakeholders.
- Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.
Requirements
- Proven experience shipping models into production (not just proof-of-concepts).
- Proficiency in Python or TypeScript; strong SQL skills for working with large-scale data.
- Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
- Cloud infrastructure experience, (e.g. GCP, AWS).
- Understanding of MLOps, including orchestration tools like Airflow or Dagster.
- Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.
- Conducted code reviews and have to ability to provide constructive feedback
- Bachelor’s degree in a STEM field, or equivalent practical experience.
- 5+ years of industry experience in applied machine learning or AI engineering; advanced degrees (Master’s or PhD) may offset years of experience.
Benefits
- Medical, dental, vision, and life insurance benefits available the 1st of the month following hire date
- Short term and long term disability
- Employee assistance program
- Reimbursement for a personal health and wellness membership
- Generous parental leave
- 401(k) available upon hire
- 11 paid holidays
- Flexible time off - take the time off you need!
- Matching donations for approved charitable organizations
- Group volunteer efforts
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