Senior Machine Learning Engineer (LLM)

Responsibilities

• Develop and maintain scalable data pipelines and ETL/ELT workflows to support analytics initiatives.
• Build impactful Tableau dashboards and data visualizations to enable data-driven decision-making.
• Use Python for data processing, automation, and implementing machine learning workflows.
• Apply AI/ML techniques for predictive analytics, model development, and insights generation.
• Work with GCP (BigQuery, Dataflow, Cloud Storage) and AWS (S3, Lambda, Glue) for cloud-based data solutions.
• Implement observability practices including logging, monitoring, and alerting for data systems.
• Perform data science tasks including data exploration, feature engineering, and model evaluation.
• Execute business intelligence and analytics activities to translate data into actionable insights.
• Collaborate with cross-functional teams to understand requirements and deliver reliable data engineering solutions.

Seniority Level

Mid-Senior level

Employment Type

Contract

Job Function

Information Technology and Engineering

Industries

Software Development, Insurance, and Banking