AI/ML Research Engineer

PLANIT Group

United States

On-site

USD 100,000 - 140,000

Full time

14 days+
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Job summary

PLANIT Group is looking for AI/ML Research Engineers with full-stack experience to develop and implement agentic AI applications. Candidates should possess a strong proficiency in Python and experience in deploying scalable AI models.

The ideal candidate will have a degree in Computer Science or a related field, along with relevant cloud AI or machine learning certifications. Join us in driving innovative solutions in AI technology

Qualifications

  • Experience with building agentic AI applications.
  • Ability to differentiate between data models.
  • Hands-on experience with deploying scalable AI models.

Skills

Python proficiency
Natural Language Processing
Agentic frameworks
Predictive Modeling
Nodejs

Education

4-year degree in Computer Science or related field

Tools

SAP HANA
SQL Server
DB2
Azure AI Engineer certification
AWS ML certification

Job description

AI/ML Research Engineers with FULL-STACK experience
Required Skills
  • 4-year degree in Computer Science, Data Science, Systems Engineering, or a related field or equivalent experience.
  • Experience with Agentic frameworks and building agentic AI applications.
  • Strong proficiency in Python and prompt engineering for LLMs.
  • Ability to differentiate between data models (e.g., Meta vs. OpenAI) based on project requirements.
  • Hands on experience with Natural Language Processing and deploying scalable AI models.
  • Deep knowledge technologies (SAP HANA, DB2, SQL Server) and solid SQL expertise.
  • Experience building agentic AI or AI assistant style products.
  • Prior work with Lockheed Martin data platforms (EDE, LDW, EDW) or comparable enterprise scale environments.
  • Relevant cloud AI or machine learning certifications (e.g., Azure AI Engineer, AWS ML).
Desired Skills
  • Nodejs
  • Predictive Modeling
  • Knowledge/Experience with Model Context Protocol (MCP)
  • Demonstrated ability to thrive in a fast paced, collaborative environment.
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