A global technology and creative agency helping businesses of all sizes craft innovative products from start to finish.
AI/ML Solution Engineer
Location
Virginia
Posted
158 days ago
Salary
0
Seniority
Senior
Job Description
AI/ML Solution Engineer
Dominion Digital
• 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.
Job Requirements
- 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.
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