AIS is seeking a 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. This role is critical to ensuring the success of AI-driven solutions by enabling robust data pipelines, governance, and model deployment frameworks.
Requirements
- 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).
- Familiarity with time-series data and IoT data streams.
- Oracle OCI
Responsibilities
- 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.
Other
- This is a remote position with occasional travel (if needed)
- Excellent communication and stakeholder management skills.
- Experience in the utility or energy sector.
- Certifications in cloud architecture or data engineering.
- This position is contingent upon contract award.
