AI Engineer

Diverse Lynx, LLC; Chicago (IL); Presencial; USD 83.000 - 90.000; A tiempo parcial

Descripción de la vacante

Diverse Lynx LLC is seeking an AI Engineer in Chicago to develop and deploy advanced AI solutions under a contract arrangement. The role emphasizes expertise in statistical modeling, ML, NLP, and generative/agentic AI, with hands-on work on LLMs, prompt engineering, and deployment pipelines.

Candidates should be proficient in Python/R/SQL/SAS and have experience with Databricks, vector databases, and production monitoring. Location is Chicago, IL with a contract engagement.

Formación

• 7+ years of experience in data science, analytics, ML, or AI.
• Expertise in statistical modeling, machine learning, generative AI, agentic AI, and NLP.
• Strong knowledge of LLMs, prompt engineering, RAG, autonomous decision-making frameworks, and human-in-the-loop workflows.
• Programming expertise in Python, R, SQL, SAS, or similar analytics tools, with cloud-based or distributed platforms such as Databricks.
• Experience with vector databases, semantic search, knowledge graphs, metadata management, enterprise search, and production AI deployment and monitoring.

Conocimientos

Data science

Machine learning

Generative AI

Agentic AI

NLP

LLMs

Prompt engineering

Databricks

Python

R

SQL

SAS

Distributed platforms

Herramientas

Databricks

Vector databases

Knowledge graphs

Metadata management

Enterprise search

Production AI monitoring

Descripción del empleo

Job Title: AI Engineer
Location: Chicago, IL
Job Type: Contract
Rate: $60/hr-65/hr
Must Have Technical/Functional Skills

• 7+ years of relevant experience in data science, analytics, machine learning, or AI.
• Expertise in statistical modeling, machine learning, generative AI, agentic AI, and natural language processing.
• Strong knowledge of LLMs, prompt engineering, RAG, autonomous decision-making frameworks, and human- in-the-loop workflows.
• Programming expertise in Python, R, SQL, SAS, or similar analytical tools, with cloud-based or distributed platforms such as Databricks.
• Experience with vector databases, semantic search, knowledge graphs, metadata management, enterprise search, and production AI deployment and monitoring.

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