EY is seeking a Senior Machine Learning Engineer to join their Service Delivery Center in Tampa. The successful candidate will design, build, and deploy scalable machine learning systems, including advanced NLP and Generative AI solutions. The role demands strong technical leadership, a quick learning ability, and a proven track record in delivering high-value AI solutions.
Requirements
- 8+ years of hands-on experience in Machine Learning Engineering, MLOps, or AI system development
- Minimum of 2 years of direct experience in engineering and deploying Generative AI/LLM solutions in production
- Deep proficiency in Python for production-grade ML development
- Strong experience with PySpark for large-scale data processing and building robust data pipelines
- Proficiency in big data frameworks (Hadoop, Spark, Hive, Hue) and experience with streaming technologies
- Extensive experience with MLOps tools and practices (e.g., Docker, Kubernetes, MLflow, Airflow, CI/CD for ML)
- Proven experience in designing, implementing, and deploying NLP and deep learning models to production
- Hands-on experience with Generative AI development, including engineering prompting strategies, RAG implementation, and LLM fine-tuning and integration (e.g., Langchain, LlamaIndex)
- Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services
Benefits
- Competitive compensation package
- Medical and dental coverage
- Pension and 401(k) plans
- Minimum of 15 days of vacation plus ten observed holidays and three paid personal days
- Range of programs and benefits designed to support physical, financial, and social well-being