Overview
Hybrid
Depends on Experience
Full Time
Skills
AI/ML engineering
SageMaker
Bedrock
Lambda
RDS
DynamoDB
ECS
S3
F3
etc.
Python
Java
or Scala
SQL
MySQL
NoSQL
Job Details
Required Skills & Experience:
- Hands-on experience in AI/ML engineering or applied machine learning roles.
- Proven experience in building and deploying models using AWS tools such as: SageMaker, Bedrock, Lambda, RDS, DynamoDB, ECS, S3, F3, etc.
- Strong programming skills in Python, Java, or Scala.
- Experience with fine-tuning LLMs and developing AI agents.
- Proficiency in building and integrating RAG architectures.
- Solid understanding of cloud architecture, data pipelines, and application integration.
- Familiarity with data storage and retrieval mechanisms (SQL, MySQL, NoSQL).
- Ability to translate business needs into practical, scalable AI solutions.
Nice to Have:
- Experience with Spark, Hive, or Airflow for data processing (helpful but not mandatory).
- Background in solution architecture or AI/ML system design.
- Exposure to enterprise-level applications and multi-cloud environments.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.