Senior ML Engineer building and improving ML frameworks supporting Torc's autonomous vehicle solutions. Collaborate with the team to enhance ML processes and tools.
About the role
- Junior AI/ML Engineer supporting enterprise AI chatbot development. Involves building AI agents and data intelligence systems with strong Python and ML skills required.
Responsibilities
- Develop and deploy AI chatbot/agent solutions for enterprise use cases
- Integrate LLM-based agents with structured and unstructured enterprise data
- Connect chat interfaces to SQL/enterprise databases and internal APIs
- Build and integrate machine learning models (prediction, classification, clustering, etc.)
- Perform data preprocessing, feature engineering, and model evaluation
- Integrate ML outputs into chatbot or workflow interfaces
- Support data pipeline development and automation
- Collaborate with internal team and occasionally clients to understand requirements
- Document model logic, workflows, and implementation details
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or related quantitative field
- Strong Python programming skills
- Hands-on experience with machine learning (regression, classification, clustering, or similar)
- Familiarity with ML libraries such as scikit-learn, pandas, numpy, or similar
- Experience working with databases (SQL, PostgreSQL, or similar)
- Familiarity with LLM APIs (OpenAI, Claude, or open-source models)
- Experience building APIs or backend services (FastAPI, Flask, or similar)
- Strong analytical and problem-solving skills
- Ability to work independently and communicate clearly
Benefits
- Paid Internship or Contract (Full-time)
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