Senior Machine Learning Engineer
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Job Description
Senior Applied AI Engineer building production AI/ML systems for phData, a data and AI consultancy. Delivering scalable enterprise solutions across LATAM clients.
Responsibilities:
- Design, build, and operationalize production-ready AI and machine learning systems for enterprise customers
- Move AI/ML solutions from experimentation into scalable production
- Build production-ready Applied AI and machine learning solutions aligned with customer objectives, technical requirements, and enterprise environments
- Translate solution architectures and business requirements into maintainable, well-tested code, data and model pipelines, and technical deliverables
- Implement production patterns for predictive ML, generative AI, LLM applications, agentic workflows, and intelligent automation, including evaluation, monitoring, and guardrails
- Integrate AI solutions with enterprise data platforms, applications, APIs, and workflows while ensuring reliability, security, performance, and cost-effectiveness
- Contribute to reusable accelerators, reference implementations, engineering standards, and technical playbooks
- Collaborate with Applied AI Solutions Architects, data scientists, data engineers, platform engineers, project stakeholders, and client representatives
- Advance phData's delivery excellence across clients
Requirements:
- 5+ years of experience in AI/ML engineering, software engineering, data engineering, or a related technical discipline, including at least 3 years designing, building, deploying, or operating AI and machine learning solutions in production
- Strong programming experience in Python for building production-grade AI, ML, and data pipelines
- Strong working knowledge of SQL for querying, transforming, and validating data used in AI and ML solutions
- Practical experience with modern cloud, data, and AI ecosystems such as Snowflake, Databricks, AWS, Azure, Google Cloud, dbt, Anthropic, OpenAI, or comparable technologies
- Understanding of production AI/ML concerns, including evaluation, observability, security, governance, scalability, performance, and operational support
- Experience developing production software, APIs, services, data pipelines, or AI applications and integrating them into enterprise environments
- Bachelor's degree in relevant field, or equivalent practical experience (education listed as desired)
- Preferred: experience building agentic AI systems, enterprise RAG systems, cloud-native AI/ML services, LLM orchestration frameworks, model registries, feature stores, lineage, monitoring, drift detection, AI evaluations, prompt management, AI gateways, CI/CD, reusable accelerators, modular architectures, libraries, open-source projects, or technical communities
Benefits:
- Remote-First Work Environment
- Casual, award-winning small-business work environment
- Collaborative culture that prizes autonomy, creativity, and transparency
- Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
- Accelerated learning and professional development through advanced training and certifications
- Impactful Work: Partner with leading organizations on meaningful data & AI initiatives
- Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement
- Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways
- Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community
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