Role overview
Note: The job is a remote job and is open to candidates in USA. Applied Information Sciences is an employee-owned company dedicated to fostering a thriving workplace since 1982. They are seeking a highly skilled Machine Learning Data Architect to lead the design and implementation of scalable data architectures that support advanced AI and machine learning initiatives for a major utility client.
What you'll work on
- Architect Scalable Data Solutions: Design and implement data architectures optimized for machine learning workflows, including data ingestion, transformation, storage, and retrieval.
- ML Infrastructure Design: Collaborate with data scientists and engineers to build infrastructure for training, testing, and deploying ML models at scale.
- Data Governance & Quality: Establish data governance frameworks, ensure data integrity, and implement best practices for data security and compliance.
- Cloud & On-Prem Integration: Develop hybrid data solutions that integrate cloud platforms (e.g., Azure, AWS, GCP) with on-premise systems.
- Model Lifecycle Management: Support MLOps practices including versioning, monitoring, and retraining of models.
- Stakeholder Collaboration: Work closely with business analysts, data scientists, and IT teams to align data architecture with business goals.
- Performance Optimization: Tune data systems for performance, scalability, and cost-efficiency.
Skills
- Strong expertise in data modeling, ETL/ELT pipelines, and big data technologies (e.g., Spark, Hadoop).
- Proficiency in cloud platforms (Azure) and containerization tools (Docker, Kubernetes).
- Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and MLOps tools (MLflow, Kubeflow).
- Deep understanding of data privacy, security, and regulatory compliance (e.g., GDPR, CCPA).
- Excellent communication and stakeholder management skills.
- Experience in the utility or energy sector.
- Familiarity with time-series data and IoT data streams.
- Certifications in cloud architecture or data engineering.
- Oracle OCI
Company Overview
- AIS (Applied Information Sciences) specializes in IT transformation and AI solutions for large commercial and federal enterprises, delivering compliant and transformative cloud and data solutions that speed up time to value, sunset legacy technology, and accelerate innovation. It was founded in 1982, and is headquartered in Reston, Virginia, USA, with a workforce of 501-1000 employees. Its website is https://www.ais.com.
Company H1B Sponsorship
- AIS (Applied Information Sciences) has a track record of offering H1B sponsorships, with 7 in 2025, 3 in 2024, 4 in 2023, 2 in 2022, 5 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Tags & focus areas
Used for matching and alerts on DevFound Remote Architecture Machine Learning Aws Docker Kubernetes Tensorflow Pytorch Scikit Learn Gcp