Sr. Machine Learning Engineer

Join phData , a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises. We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results. Why phData? • Snowflake Implementation Partner of the Year — 7 consecutive years , and 2026 Snowflake AI Partner of the Year • AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network • 2025 Fivetran Partner of the Year (4th consecutive year) • 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status • 2026 KNIME Customer Excellence Partner of the Year • Preferred Partner in the Anthropic Claude Partner Network • #1 Partner in Snowflake Advanced Certifications • 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more) • Recognized as an award-winning workplace in the US , India and LATAM We are looking for a Senior Machine Learning Engineer to join our Applied AI team. In this role, you will design, build, and operationalize production-ready AI and machine learning systems that solve meaningful business problems for enterprise customers. You will help move solutions from experimentation into scalable production, while contributing to reusable accelerators and engineering standards. You will collaborate closely with Applied AI Solutions Architects, data scientists, data engineers, platform engineers, project stakeholders, and client representatives to deliver high-quality solutions and advance phData's delivery excellence. 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 Experience • 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. Technical / Functional Skills • 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