Entry-Level AI Data Analyst — Python & ML

SFE; Milford (OH); On-site; USD 85,000 - 95,000; Full time

Job summary

SFE in Milford OH seeks an entry-level Python AI Data Analyst to support AI/ML projects onsite across Milford OH and other client locations.

You will use Python, NLP concepts, prompts, APIs, and data processing while collaborating in agile teams. You will iterate on models, craft few-shot prompts, and ensure robust outputs. Attention to data quality and ethics is essential.

This role offers hands-on learning with cross-domain exposure and opportunities to grow in a fast-paced environment.

Qualifications

• Expertise in Python programming, unit testing, and Git version control.
• Solid ML/AI knowledge with NLP or chatbot experience.
• Experience with embedding models, vector databases and unstructured data.
• Experience building and consuming RESTful APIs and handling JSON/XML data.
• Strong understanding of data structures and algorithms for efficient agent design.
• Excellent debugging and problem-solving abilities.
• Comfortable working in Agile teams and cross-functional collaboration.
• Ability to quickly learn new domains for tailored agent solutions.
• High attention to data quality and edge-case handling.
• Strong sense of ethics regarding bias and data confidentiality.

Responsibilities

• Develop and refine AI data analysis pipelines.
• Collaborate with data science and software teams in sprints.
• Evaluate model behavior and ensure robust prompt quality.
• Handle data integration with APIs and data formats.
• Ensure scalable and maintainable code with thorough testing.

Skills

Python

NLP/ML concepts

Prompt engineering

API & REST

Data structures

Git

Agile teamwork

Debugging

Domain adaptability

Attention to detail

Ethical awareness

Job description

SFE in Milford OH seeks an entry-level Python AI Data Analyst to support AI/ML projects onsite across Milford OH and other client locations.

You will use Python, NLP concepts, prompts, APIs, and data processing while collaborating in agile teams. You will iterate on models, craft few-shot prompts, and ensure robust outputs. Attention to data quality and ethics is essential.

This role offers hands-on learning with cross-domain exposure and opportunities to grow in a fast-paced environment.