Senior AI/ML Engineer: Data Pipelines & LLM Solutions

Talentify; Aurora (CO); On-site; USD 82,000 - 172,000; Full time

Job summary

Talentify seeks a Senior AI/ML Engineer to advance AI/ML algorithms across diverse disciplines, including LLMs and time-series analytics. You will join a multidisciplinary team implementing ETL pipelines to support AI/ML solutions addressing customer challenges.

The role emphasizes data assembly, ingestion, and model-driven experimentation. A TS/SCI clearance is required, with potential travel up to 10%. Expect a full-time, regular position in a dynamic environment.

Qualifications

• B.S. in Data Science, AI/ML, Computer Science or related field.
• 5+ years of experience in Data Engineer/Scientist, ML Engineer or Software Dev.
• Experience building data pipelines and normalizing data with NumPy, Pandas, Polars.
• Experience with version control systems (Git, GitLab, Bitbucket).
• Active TS/SCI U.S. Government Security Clearance.

Responsibilities

• Assemble large, complex data sets to support AI/ML algorithms.
• Build ETL pipelines for data from multiple sources.
• Curate and maintain data for metrics and evaluation.
• Implement AI/ML algorithms.
• Design scalable infrastructure and automate processes.
• Apply Agile methodologies to software development.

Skills

Data pipelines

Python data libs

Data engineering

Team collaboration

Agile methodologies

Education

B.S. in Data Science, AI/ML, CS, or related field

M.S./PhD in Data Science, AI/ML, CS, or related field

Tools

Git / GitLab / Bitbucket

Docker

Kubernetes

AWS

Spark / PySpark

CUDA

Job description

Talentify seeks a Senior AI/ML Engineer to advance AI/ML algorithms across diverse disciplines, including LLMs and time-series analytics. You will join a multidisciplinary team implementing ETL pipelines to support AI/ML solutions addressing customer challenges.

The role emphasizes data assembly, ingestion, and model-driven experimentation. A TS/SCI clearance is required, with potential travel up to 10%. Expect a full-time, regular position in a dynamic environment.