Machine Learning Data Engineer
2 months ago
The Information Technology team at Russell Tobin & Associates is supporting a top multinational technology company that has an opening for a Machine Learning Data Engineer.
Job Overview:
Project Duration: 09 Months contract (Possible Extension)
Job Location: Hybrid to Seattle, WA (3 days onsite a week)
Pay Rate Range: $73/HR - $78/HR on w2. based on experience
We are seeking a detail-oriented Machine Learning Data Engineer to join our team. As an ML Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines that ingest, transform, and load data from various sources into our cloud-based systems. You will work closely with machine learning teams to ensure that data is accurate, enriched, reliable, and readily available for analytics and model training.
Responsibilities:
- Design and Build Data Pipelines: Create efficient, reliable, streamable, and scalable data pipelines using industry-standard tools and techniques, such as Torch Data, WebDataset, Apache Parquet., Python, and SQL.
- Data Ingestion: Develop strategies for ingesting data from data providers, ensuring data quality and consistency.
- Data Pre-processing: Implement parallel pre-processing to clean, transform, de-duplicate, combine and normalize data.
- Data Curation and Enrichment: Curate, augment, and enrich existing datasets to improve data quality and provide valuable insights to stakeholders.
- Synthetic Data Generation: Collaborate with synthetic data teams to generate data and incorporate it into existing pipelines.
- Collaboration with ML Teams: Work closely with ML scientists, engineers, and product teams to understand data requirements, and collaborate on data delivery.
- Monitoring, Maintenance & Updating: Monitor data pipelines for performance, errors, and bottlenecks, and implement regular maintenance and updates. Stay updated with the latest trends and incorporate best practices into data pipelines.
- Technical Documentation: Document data pipelines, settings, and procedures for easy maintenance and knowledge sharing.
Minimum Qualifications:
- Bachelor’s degree in computer science, Information Technology, or a related field.
- At least 3 years of experience as a Software Engineer or Data Engineer.
- Strong software engineering skills, proficiency in Python
- Experience with data processing tools and formats such as Apache Parquet, WebDataset, TorchData, Pandas, Shell Scripting, Protobuf, TFRecord
- Knowledge of data warehouse architectures and cloud-based systems (e.g., AWS S3).
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Master’s degree in data science or a related field.
- Experience with data curation and enrichment techniques, particularly for large-scale text, image, and video data
- Familiarity with natural language processing (NLP), machine learning (ML) concepts and frameworks (PyTorch)
Russell Tobin offers eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors.
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