Description
Join phData, a remote-first data and AI consultancy company, as a Senior Machine Learning Engineer. You will design, build, and operationalize production-ready AI and machine learning systems that solve meaningful business problems for enterprise customers.
Key Responsibilities:
- Build and operationalize production-ready Applied AI and machine learning solutions that align with customer objectives, technical requirements, and enterprise environments.
- Translate solution architectures and business requirements into clean, maintainable, well-tested code, data and model pipelines, and technical deliverables for AI applications.
- Implement robust 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, ensuring reliability, security, performance, and cost-effectiveness in production.
- Contribute to reusable accelerators, reference implementations, engineering standards, and technical playbooks that improve how phData delivers Applied AI solutions across clients.
About You: You are a technically rigorous problem solver who enjoys working in a fast-paced, outcomes-driven environment. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.
Required Qualifications:
- 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.
Benefits at phData LATAM:
- 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