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Natsoft

Artificial Intelligence Engineer

Company: Natsoft

Location: Overland Park, KS

Posted on: June 07

Role: AI Developer Engineer

Location: Overland Park Kansas, and Frisco Texas

Duration: Contract


Job Summary

We are seeking an experienced AI Developer responsible for designing, developing, and deploying AI-driven systems. The ideal candidate should be able to build machine learning models, implement algorithms, and work on automation systems. The candidate should have hands-on experience with C/C++ and a solid understanding of cloud architecture.

Key Responsibilities:

  • design, build, test, and deploy AI models and applications
  • build and train machine learning models to solve specific problems.
  • prepare and clean data to ensure its accuracy and suitability
  • Be able to understand complete AI Architecture and use AI engineering tools
  • Have excellent Big Data knowledge for Data Analytics

Years of experience needed

  • 4-6 years of experience.

Technical Skills:

  • Must have hands-on experience on AI skillsets such as - AI engineering, AI Platforms (Chat, CoPilot, Gemini, etc), GenAI, Automation frameworks
  • Should be able to create and interpret dashboards using - PowerBI
  • Have strong Cloud expertise in Architecture, observability, tools, AI, operations,
  • Very Strong expertise in engineering with focus on Azure, Snowflake, Databricks, Kubernetes
  • Strong hands-on experience in - C, C++

Data One, Assurance One & Conversion

  • Strong hands-on experience in Big Data Skills such as Data Science, Analytics, Engineering, Testing,
  • Must have experience on Conversion / Migration - Data transformation & migration biller and non-biller migration of large data - Informatica or other ETL tools
  • Data Mapping, Gap analysis, data quality
  • Batch vs Real-Time Streaming data migration
  • Have working experience with AI tools and frameworks - AI engineering , AI Platforms (Chat, CoPilot, Gemini, etc), GenAI, Automation frameworks
  • Deep understanding of Telco, Billing, Revenue, Accounting domains are strongly preferred

Strong Expertise in Cloud technologies in architecture, observability, tools, AI, operations, engineering - Azure, Snowflake, Databricks, Kubernetes