Forward-Deployed Data Scientist Ii (Ai Engineering)

TL;DR

Forward-Deployed Data Scientist II (AI Engineering): Partnering with customers to ensure their success by collaborating on implementations, improving architecture, developing reusable data pipelines and APIs. Focus on refining reinforcement learning algorithms, shaping AI product strategy, and providing technical expertise for successful adoption and measurable outcomes.

Location: São Paulo

Company

hirify.global is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.

What you will do

• Collaborate with customer Analytics/BI teams and hirify.global colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration.
• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components.
• Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms.
• Contribute to shaping hirify.globalAI product strategy and roadmap through customer-facing insights and technical expertise.
• Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success.

Requirements

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred.
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred.
• Strong technical expertise: proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost).
• Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment.
• Engineering best practices: you write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions.
• Customer collaborator: comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value.

Nice to have

• Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and pipeline optimization, or reinforcement learning algorithms.

Culture & Benefits

• Competitive compensation that may include equity.
• Flexible paid time off.
• Comprehensive benefit plans covering medical, dental, vision, life, and disability.
• Family services that include fertility benefits and equal paid parental leave.
• Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend.
• Collaborative, transparent, and fun culture recognized as a Great Place to Work®.