Senior Machine Learning Engineer

Job not on LinkedIn

🔥 15 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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phData

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $2.5M Seed Round on 2018-03

Consulting • Healthcare • Manufacturing

phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.

📋 Description

• 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