{"id":3295172,"url":"https://alion.io/job/phdata-sr-machine-learning-engineer-2","title":"Sr. Machine Learning Engineer","company":{"id":11321,"name":"phData","domain":"phdata.io","url":"https://alion.io/company/phdata","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":8,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":40,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["São Paulo, Brazil","Brazil"],"countries":["BR"],"hiring_countries":["AR","BR","CO","MX","AI","AG","AW","BS","BB","BZ","BM","BO","VG","BQ","KY","CL","CR","CW","DM","DO","EC","SV","FK","GF","GD","GP","GT","GY","HT","HN","JM","MQ","MS","NI","PA","PY","PE","PR","KN","LC"],"hiring_countries_total":48,"salary":null,"salary_estimate":{"min_usd":56000,"max_usd":145000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"CI/CD","optional":true},{"name":"Cortex","optional":true},{"name":"Feature Store","optional":true},{"name":"Function Calling","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Prometheus","optional":true},{"name":"RAG","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-09-03T15:18:30Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-28T14:38:23Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":55},"description":"JoinphData, 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.\nWe're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.\nWhy phData?\nSnowflake Implementation Partner of the Year - 7 consecutive years, and 2026 Snowflake AI Partner of the Year\nAWS Premier Tier Services Partner - the highest tier of recognition in the AWS Partner Network\n 2025 Fivetran Partner of the Year (4th consecutive year)\n 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status\n2026 KNIME Customer Excellence Partner of the Year\n Preferred Partner in the Anthropic Claude Partner Network\n#1 Partner in Snowflake Advanced Certifications\n600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)\nRecognized as an award-winning workplace in the US, India and LATAM\nWe 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.\nKey Responsibilities\nBuild and operationalize production-ready Applied AI and machine learning solutions that align with customer objectives, technical requirements, and enterprise environments.\nTranslate solution architectures and business requirements into clean, maintainable, well-tested code, data and model pipelines, and technical deliverables for AI applications.\nImplement robust production patterns for predictive ML, generative AI, LLM applications, agentic workflows, and intelligent automation, including evaluation, monitoring, and guardrails.\nIntegrate AI solutions with enterprise data platforms, applications, APIs, and workflows, ensuring reliability, security, performance, and cost-effectiveness in production.\nContribute to reusable accelerators, reference implementations, engineering standards, and technical playbooks that improve how phData delivers Applied AI solutions across clients.\nAbout You\nYou 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.\nRequired Qualifications\nExperience\n5+ 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.\nTechnical / Functional Skills\nStrong programming experience in Python for building production-grade AI, ML, and data pipelines.\nStrong working knowledge of SQL for querying, transforming, and validating data used in AI and ML solutions.\nPractical experience with modern cloud, data, and AI ecosystems such as Snowflake, Databricks, AWS, Azure, Google Cloud, dbt, Anthropic, OpenAI, or comparable technologies.\nUnderstanding of production AI/ML concerns, including evaluation, observability, security, governance, scalability, performance, and operational support.\nExperience developing production software, APIs, services, data pipelines, or AI applications and integrating them into enterprise environments.\nEducation - If desired\nBachelor's degree in relevant field, or equivalent practical experience.\nPreferred Qualifications\nPreferred qualifications help candidates stand out but are not required for success in this role.\nExperience building agentic AI systems, including orchestration, tool use, planning, memory, multi-agent patterns, or protocols such as MCP.\nExperience designing and deploying enterprise RAG systems, semantic retrieval, AI applications, or intelligent workflow automation.\nExperience with cloud-native AI/ML services such as AWS Bedrock and SageMaker, Azure AI/ML, Google Vertex AI, or Snowflake Cortex, and with LLM orchestration frameworks such as LangChain or LlamaIndex.\nExperience with model registries, feature stores, data and model lineage, model monitoring, drift detection, AI evaluations, prompt management, AI gateways, and CI/CD for AI/ML workloads.\nExperience building reusable accelerators, modular architectures, or libraries deployed across multiple clients, and contributions to open-source projects or technical communities.\nWhy phData?\nImpactful Work: Partner with leading organizations on meaningful data & AI initiatives.\nCollaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.\nGrowth Opportunities: Access to challenging projects, mentorship, and structured development pathways.\nValues-Driven: We prioritize doing the right thing for our clients, our teams, and our community.\nBenefits at phData\nLATAM:\nRemote-First Work Environment\nCasual, award-winning small-business work environment\nCollaborative culture that prizes autonomy, creativity, and transparency\nCompetitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)\nAccelerated learning and professional development through advanced training and certifications\nphData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. 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