Job Description
Role: AI/ML Engineer
Location: Austin, TX (100% Onsite)
Type: Full Time / Contract to Hire
We’re looking for an experienced AI/ML Engineer with a strong background in building, deploying, and scaling machine learning models in production environments. The ideal candidate will work closely with data science and engineering teams to operationalize complex ML solutions and integrate them into business workflows.
Key Responsibilities:
- Collaborate with cross-functional teams to deploy and scale ML models and algorithms.
- Operationalize machine learning models end-to-end, ensuring performance and reliability.
- Apply standard ML algorithms (Regression, Classification, NLP, Sentiment Analysis, Topic Modeling, TF-IDF).
- Utilize ML tools and libraries such as Scikit-learn, Pandas, PySpark, and Vader Sentiment.
- Design and maintain adaptable data pipelines to support various ML use cases.
- Integrate ML solutions into business pipelines and coordinate with upstream/downstream systems.
- Develop and maintain pipelines for model performance tracking and reporting.
- Provide ongoing support for production models and create maintenance runbooks.
Required Skills:
AI/ML, MLOps, Python, SQL, GCP, and experience across the full SDLC.
📍 This role requires onsite presence in Austin, TX. Candidates must be open to relocation.
💼 We’re open to both Full-Time and Contract-to-Hire options (with potential conversion within 2 months).
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