Senior Machine Learning Engineer, Vice President

Publix Serving (Civica)

Tampa, Florida, United States
Base: $125,600.00 - $188,400.00; bonus/equity: dis...
Not specified, but likely hybrid or fully onsite based on company norms.
Deep hands-on expertise in ml systems
Advanced nlp and generative ai (llm)
Production-grade ai solutions
Citi is seeking a Senior Machine Learning Engineer for its Tampa, Florida office, focusing on developing and deploying advanced machine learning systems, particularly in NLP and Generative AI. The ideal candidate will have extensive experience in machine learning engineering, technical leadership, and mentoring junior engineers

Job Summary

  • Lead the design and architecture of robust, scalable, and high-performance machine learning systems, ensuring seamless integration with existing platforms.
  • Own the end-to-end lifecycle of deploying and operationalizing machine learning models in production environments, ensuring efficiency, reliability, and maintainability.
  • Engineer and integrate cutting-edge Generative AI (LLM) and Natural Language Processing (NLP) solutions, including RAG and LLM-based data augmentation.

Matching Summary

Match Score: 85

Citi is seeking a Senior Machine Learning Engineer for its Tampa, Florida office, focusing on developing and deploying advanced machine learning systems, particularly in NLP and Generative AI. The ideal candidate will have extensive experience in machine learning engineering, technical leadership, and mentoring junior engineers.

Salary

Base: $125,600.00 - $188,400.00; Bonus/Equity: Discretionary and formulaic incentive and retention awards; Benefits: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; wellness programs; paid time off packages

Skills & Requirements

Must-have

  • Deep hands-on expertise in ML systems
  • Advanced NLP and Generative AI (LLM)
  • Production-grade AI solutions
  • Python for ML development
  • PySpark for large-scale data processing
  • MLOps practices and tools
  • Cloud platforms (AWS, Azure, GCP)

Nice-to-have

  • Technical leadership and mentorship
  • Cross-functional collaboration
  • Risk management and compliance
  • Graph neural networks
  • Distributed systems for ML

Key Requirements

  • 5+ years of experience in ML Engineering, MLOps, or AI system development
  • Minimum 2 years of direct experience in engineering and deploying Generative AI/LLM solutions
  • Proficiency in Python, scikit-learn, pandas, SpaCy, TensorFlow, PyTorch, Hugging Face Transformers
  • Experience with PySpark, Hadoop, Spark, Hive, Hue
  • Experience with MLOps tools (Docker, Kubernetes, MLflow, Airflow, CI/CD)
  • Experience with Generative AI development (prompting, RAG, LLM fine-tuning)
  • Familiarity with cloud platforms (AWS, Azure, GCP)

Work Rights

Not specified

Tailored Resume

Cover Letter