Data Engineer(W2 only)

Innovatech Staffing is seeking an experienced Machine Learning Engineer to join their AI/ML Engineering team. The role involves developing and optimizing complex data pipelines, integrating model pipelines, and building scalable AI/ML solutions, including large language models.

Responsibilities:

• Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability
• Integrate and optimize data and model pipelines within production environments, diagnosing data inconsistencies and documenting assumptions
• Collaborate with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy
• Perform data discovery and analysis of raw data sources, applying business context to meet model development needs
• Comfort with exploratory data exploration and tracking data lineage during inception or root cause analysis
• Write and maintain model monitoring scripts, diagnosing issues and coordinating resolutions based on alerts

Requirements:

• Around 5-8 years of relevant work experience (Machine Learning Engineering)
• At least 3 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker)
• Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks
• Robust understanding of cloud technologies, including AWS and Azure
• Solid understanding of software engineering principles, including design patterns, testing, security, and version control
• Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation
• Experience with API design and development is a plus