- Company Name
- J5 Consulting
- Job Title
- Machine Learning Engineer
- Job Description
-
**Job Title**: Machine Learning Engineer
**Role Summary**: Design, develop, and maintain data pipelines, machine learning models, and analytics services to support Federal data compliance and migration initiatives. Collaborate with data architects, analysts, and security teams to cleanse, transform, and visualize enterprise data, enabling informed decision‑making and regulatory adherence.
**Expectations**:
- Provide analytical support for data cleansing, transformation, and migration planning.
- Build and maintain a skills inventory integrated with existing systems.
- Deliver scalable ML/AI solutions that meet federal security requirements.
- Work effectively in an Agile, multidisciplinary environment.
**Key Responsibilities**:
- Design and implement relational and NoSQL data models; create tables, views, and relationships using SQL and scripting languages.
- Develop ETL workflows and leverage industry‑standard tools to extract, transform, and load data across heterogeneous sources.
- Build, consume, and document data APIs and services for internal use.
- Develop ML/AI pipelines and deploy models using Python, Java, or Scala frameworks.
- Create interactive data visualizations and dashboards (e.g., Tableau) to communicate insights.
- Operate within AWS analytics services (S3, Glue, Redshift, SageMaker, EMR) and configure Hadoop ecosystems.
- Document design decisions, technical specifications, and standard operating procedures.
- Collaborate with security and compliance teams to ensure Top Secret clearance and secure data handling.
- Participate in Agile ceremonies, including sprint planning, daily stand‑ups, and retrospectives.
**Required Skills**:
- Proficiency in SQL and database design for Oracle, MySQL, PostgreSQL, and/or NoSQL platforms.
- Experience with ETL tools and pipelines.
- Strong programming skills in Python, Java, and/or Scala.
- Ability to design, implement, and consume Data APIs or services.
- Knowledge of ML/AI libraries, frameworks, and deployment pipelines.
- Hands‑on experience with AWS analytics services (e.g., Glue, Redshift, SageMaker).
- Familiarity with Apache Hadoop ecosystem (HDFS, Hive, Spark).
- Experience creating data visualizations (Tableau, similar tools).
- Basic understanding of Agile Project Management methodology.
**Required Education & Certifications**:
- Minimum Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or related field.
- U.S. Citizenship required.
- Active Top Secret U.S. Government Security Clearance with Full Scope Polygraph.