Design and implement effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business problems and needs while complying with the organization’s strategies, business goals, and key ethical considerations.
Apply specific functional knowledge and working or general industry knowledge.
Develop or contribute to solutions to a variety of problems of moderate scope and complexity.
Work independently with some guidance.
Requirements
1+ years of experience working with algorithms, artificial intelligence, advanced data structures, databases, machine learning models, ETL processes, or MLOps to produce analytical or visual products
knowledge of data formats, such as JSON, Parquet, Avro, or CSV
ability to report findings and research clearly and concisely for clients
ability to obtain a Secret clearance
Bachelor's degree
experience working in a team environment for Git, GitLab, or GitHub
experience scaling data engineering across distributed computing clusters, including Apache Spark, Nifi, Dask, Airflow, or Luigi
experience with SQL and NoSQL database technologies such as Elasticsearch, Solr, HBase, Accumulo, Cassandra, Weaviate, ChromaDB, Pinecone, DuckDB, Neo4j, AWS DynamoDB, Redshift, Aurora, Oracle, PostgreSQL, MSSQL, MySQL, or MongoDB
ability to work with Dataframes and SQL utilizing Spark, PySpark, Python Pandas, or Polars
AWS or Google Certification such as Data Analytics, Machine Learning Engineer, or Solutions Architect Certifications
ML Engineering, Cloud Architecture, Software Engineering, Web Development, or Data Science Certification
DoD 8140 IAT Level II Certification such as CompTIA Security+ or ISC2 CISSP Certification
Benefits
health, life, disability, financial, and retirement benefits
paid leave
professional development
tuition assistance
work-life programs
dependent care
recognition awards program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.