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5319 National Geographic Partners PAY SVC Verified 9h ago

Sr Machine Learning Engineer

Orlando, FL, USA On-site

Salary not listed
PaySalary not listed
TypeFull-time
Work settingOn-site
Verified listing

JobFig found this opening at its original source and checks that it remains available.

About the role

The team is seeking a results-oriented and hands-on  Senior Machine Learning Engineer to design, develop, and deploy high-impact AI/ML solutions that drive measurable business value across our entertainment company. In this role, you will Senior complex, cross-functional projects with a strong emphasis on reuse, scalability, reliability, and performance. This position is in office . The DXT AI Technology Platform team is responsible for building an AI enablement platform for the DX segment that provides streamlined AI & Generative AI capabilities for the segment to build solutions around and on top of.  The Senior Machine Learning Engineer will design, develop, implement ente r prise grade and r obust AI/ML solutions, including agentic systems, multi-modal models, RAG, and Responsible AI applications .

What you'll bring

  • 5+ years of proven expertise in designing, building, and deploying AI/ML solutions at scale, with 1–2 years of production experience in Generative AI technologies.
  • Comprehensive MLOps / LLMOps experience with hands-on implementation of CI/CD pipelines, model and agent monitoring, versioning, observability, and lifecycle management in production.
  • Production deployment experience on major cloud platforms (AWS, Azure, or GCP) with a demonstrated ability to architect, scale, and operate cloud-native ML solutions.
  • Expert-level programming proficiency in Python and AI/ML development ecosystems.
  • Strong foundation in machine learning including statistical modeling, supervised and unsupervised learning algorithms.
  • Advanced skills in prompt engineering with a deep understanding of optimization techniques and best practices for LLM interactions.
  • Versatile ML skillset spanning traditional techniques (classification, regression, clustering) and cutting-edge deep learning approaches.
  • Production-grade Generative AI experience deploying and maintaining LLMs and multi-modal models in live environments.
  • Exceptional analytical capabilities with a track record of solving complex technical problems and thriving in ambiguous, rapidly-evolving situations.
  • Outstanding communication and collaboration skills with the ability to translate complex technical concepts for diverse audiences and drive cross-functional alignment.
  • Success partnering across organizational levels from individual contributors to senior leadership, building trust and delivering results.
  • Proven ability to influence and lead in matrix organizations where collaboration and relationship-building are essential to achieving outcomes.