Senior Forward-Deployed Data Scientist, AI Deployment

TL;DR

Senior Forward-Deployed Data Scientist (AI Deployment): Collaborating with customer Analytics/BI teams and hirify.global colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration with an accent on extending product capabilities by improving architecture and developing reusable data pipelines, APIs, and components. Focus on ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success.

Location: Mexico

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's 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
• Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

Nice to have

• Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
• Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow

Culture & Benefits

• Competitive compensation that may include equity
• Flexible paid time off
• 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®