Cloud Software Engineer 3 - ML Ops
About the role
Required Skills
Minimum one (1) year hands-on ML Ops experience, including fine-tuning and operationalizing small ML models
Experience with Python
Experience with Python libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Pytorch, Keras, spaCy, GLiNER
Experience with Java
Experience with JavaScript
Experience with Angular
Experience with React
Experience with Docket
Experience with Kubernetes
Experience with AWS
Experience with Bash
Experience with Databases - Postgres, neo4j, click-house, accumulo, mongo-db, sql-lite, duckDB
Experience with Operating Systems - Linux (RHEL 8), Windows
Experience working with LLMs
Desired Skills
Experience with Claude Sonnet 4
Ability to write code with dynamic prompts using OpenAI Chat Completions API
Active TS/SCI security clearance with a current polygraph is required
Responsibilities
- The role involves fine-tuning and operationalizing small machine learning models within a cloud environment.
- You will be responsible for developing software solutions using a variety of programming languages and database technologies.
Qualifications
- Minimum one (1) year hands-on ML Ops experience
- Experience with Python and its libraries
- Experience with Java and JavaScript
- Experience with Angular and React
- Experience with Docker and Kubernetes
- Experience with AWS
- Experience with Bash
- Experience with various databases
Skills mentioned
About J&T
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