Senior Specialist - Data Sciences

LTM

$100K — $130K *
Tampa, FL 33647In-Person
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7-11 years of experience in Python and AWS AI Services
  • Proven ability to develop AI-driven applications
  • Strong understanding of AWS cloud architecture
  • Experience with scalable AI model development
  • Ability to mentor junior team members
  • Familiarity with security and data privacy standards in AI

Responsibilities

  • Lead the design and architecture of AI solutions
  • Mentor junior team members on best practices
  • Analyze business requirements into technical AI solutions
  • Manage the end-to-end AI project lifecycle
  • Troubleshoot and resolve AI integration issues
  • Collaborate with stakeholders for AI innovation opportunities

Benefits

  • Opportunity to work with cutting-edge AI technologies
  • Collaborative environment with cross-functional teams
  • Mentorship opportunities for career growth
  • Access to continuous learning and development initiatives
  • Flexible work arrangements and work-life balance
Full Job Description
Role description

Job Summary

Seeking a Senior Specialist with 7 to 11 years of experience in Python and AWS AI Services to design and implement advanced AI solutions on AWS cloud

Job Description

Develop deploy and maintain AIdriven applications using AWS AI Services Utilize Python programming to build scalable and efficient AI models Collaborate with crossfunctional teams to integrate AI solutions into existing systems Optimize AI workflows for performance and costeffectiveness on AWS cloud Stay updated with the latest advancements in AWS AI services and Python libraries Ensure compliance with security and data privacy standards in AI implementations

Roles and Responsibilities

Lead the design and architecture of AI solutions leveraging AWS AI Services Mentor junior team members on best practices in Python and AWS AI technologies Analyze business requirements and translate them into technical AI solutions Manage endtoend AI project lifecycle including testing deployment and monitoring Troubleshoot and resolve issues related to AI service integration and performance Collaborate with stakeholders to identify opportunities for AIdriven innovation

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