AI/ML Solution Engineer

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🕒 Fevereiro 25

⚔️ Virginia – Remoto

⚔️ Virginia – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

🦅 Patrocina Visto H1B

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Dominion Digital

SiteLinkedInTodas as Vagas

1 - 10 funcionários

🤝 B2B

📱 Mídia

B2B • Media

A Dominion Digital é uma agência digital que projeta e desenvolve sites e aplicativos visualmente impressionantes e centrados no usuário, além de oferecer serviços de branding, renderização 3D e estratégias de crescimento/conteúdo. Eles combinam design e desenvolvimento para criar ativos 3D fotorrealistas, interfaces intuitivas de UI/UX e experiências web escaláveis, visando ajudar as marcas a se destacarem e crescerem online. A Dominion Digital atende clientes empresariais em diversas regiões (Europa e Oeste da África) e se concentra em fornecer soluções digitais criativas que geram resultados.

Descrição

• Collaborate with clients to understand business needs and translate them into AI/ML-driven solutions. • Build, fine-tune, and integrate AI/ML models (LLMs, NLP, computer vision, deep learning, traditional ML). • Deliver applications that are reliable, intuitive, and built for long-term value. • Navigate emerging and rapidly changing AI/ML technologies and tools. • Adapt quickly, lead through change, and make confident decisions with limited information. • Recommend modern approaches and innovations in AI/ML. • Ask the right questions to uncover root causes and deliver solutions that solve the real problem. • Dig into data pipelines, model architectures, optimization techniques, and workflows that drive better outcomes. • Architect scalable, maintainable AI/ML solutions that go beyond one-off experiments. • Uphold security, data governance, and best practices in every deployment. • Monitor model performance, retrain when necessary, and implement CI/CD pipelines for continuous improvement. • Help others by guiding team members to elevate technical delivery and AI/ML literacy.

🎯 Requisitos

• Proficiency in Python (required); Java, JavaScript, SQL/NoSQL, and data processing tools (NumPy, Pandas, PySpark). • Understanding of C++, R, Julia, Scala a plus. • Proven experience building and deploying LLM applications, developing agentic workflows, and applying advanced prompting and fine-tuning strategies. • Knowledge of ETL/ELT pipelines, familiarity with big data frameworks, data pipeline tools, SQL/NoSQL • Hands-on experience with model development, training, deployment, and maintenance. • Experience with Scikit-learn, TensorFlow, PyTorch, XGBoost, Hugging Face, and modern architectures (CNNs, RNNs, Transformers). • Experience with CI/CD pipelines, experiment tracking, model monitoring, versioning, and building scalable ETL/data pipelines. • Experience with AWS, Azure, GCP cloud infrastructures. • Containerization and Automation (Docker, Kubernetes, Jenkins, GitHub Actions). • Solid foundations in linear algebra, calculus, probability/statistics; familiarity with responsible AI practices, ethics, bias, and governance a plus. • Excellent communication skills to engage both technical and non-technical stakeholders, with a collaborative, problem-solving mindset.