
11 - 50 funcionários
🏢 Corporativo
🏛️ Governo
☁️ SaaS
Enterprise • Government • SaaS
A Element é uma agência centrada no ser humano que estabelece parcerias com os setores governamental e comercial para criar experiências de usuário impactantes. Com um compromisso com a eficiência e a excelência, a Element foca em interações digitais que provocam mudanças positivas. A empresa oferece serviços em DevOps, apoiando a integração contínua e operações, FHIR para conformidade e interoperabilidade, e ciência de dados para transformar dados em insights acionáveis. A Element visa capacitar comunidades através da tecnologia e impulsionar a inovação.
🕒 Maio 2
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $135.000 - $145.000 / ano
⏰ Tempo Integral
🟡 Pleno
🟠 Sênior
🤖 Engenheiro de IA
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

11 - 50 funcionários
🏢 Corporativo
🏛️ Governo
☁️ SaaS
Enterprise • Government • SaaS
A Element é uma agência centrada no ser humano que estabelece parcerias com os setores governamental e comercial para criar experiências de usuário impactantes. Com um compromisso com a eficiência e a excelência, a Element foca em interações digitais que provocam mudanças positivas. A empresa oferece serviços em DevOps, apoiando a integração contínua e operações, FHIR para conformidade e interoperabilidade, e ciência de dados para transformar dados em insights acionáveis. A Element visa capacitar comunidades através da tecnologia e impulsionar a inovação.
• Develop and deploy at least three (3) production-grade AI/ML models, including use cases such as predictive maintenance, anomaly detection, classification, forecasting, or optimization. • Design, build, and maintain end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment. • Apply deep expertise in PyTorch and/or TensorFlow to develop and fine-tune advanced machine learning and deep learning models. • Implement and support scalable model serving architectures, ensuring high availability, low latency, and secure inference in production environments. • Collaborate with data engineers to access, transform, and prepare large-scale datasets for model training and inference. • Partner with product owners, analysts, and stakeholders to translate business requirements into machine learning solutions. • Monitor model performance in production, including drift detection, accuracy tracking, and retraining strategies. • Ensure compliance with federal security, privacy, and governance standards in all AI/ML implementations. • Participate in Agile development cycles, including sprint planning, design reviews, and technical demonstrations. • Document model architectures, training methodologies, and deployment processes for maintainability and auditability.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, or related field (or equivalent experience). • 3+ years of experience in machine learning, data science, or AI engineering roles. • Proven experience delivering production-grade machine learning models in real-world environments. • Expert proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch). • Advanced SQL development experience, including complex queries, performance tuning, and data transformation logic. • Experience leveraging Large Language Models (LLMs) in development. • Understanding of core concepts such as context windows, prompt design, and input/output structures, with the ability to apply AI tools effectively in building and enhancing solutions. • Experience building and deploying models using scalable serving frameworks (e.g., REST APIs, containerized deployments, or cloud-based inference services). • Experience working with large-scale structured and unstructured datasets. • Strong understanding of machine learning concepts including supervised/unsupervised learning, deep learning, model evaluation, and feature engineering. • Experience working in the federal government or other highly regulated environments with security and compliance requirements. • Strong analytical and problem-solving skills. • Ability to communicate complex technical concepts to non-technical stakeholders. • Strong collaboration skills across engineering, data, and product teams. • Ability to work independently in a fast-paced, mission-driven environment. • High attention to detail with a focus on model reliability and production readiness. • US Citizenship or Permanent Residency required. • Must reside in the Continental US. • Depending on the government agency, specific requirements may include public trust background check or security clearance.
• health care • dental • vision • life insurance • 401(k) • paid time off including PTO, holidays, and any other paid leave required by law
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