Machine Learning Engineer
2 days ago
Job Title: Machine Learning Engineer
Location: Seattle, WA
Job Type: Onsite
Duration: 9 months
Rate: $92/hr (W2)
Work Authorization: GC, USC, All valid EADs except H1b
About the Role:
We are seeking a skilled Machine Learning Engineer to join our team at aKUBE. As a Machine Learning Engineer, you will design and develop machine learning models to assist finance and product teams in improved quarterly spending forecasting.
Key Responsibilities:
- Design and develop machine learning models to assist finance and product teams in improved quarterly spending forecasting
- Develop scalable and efficient data pipelines and processes for training, inferencing, and model evaluation for high accuracy
- Collaborate with engineering teams and finance and product managers in an open, creative environment
- Work closely with Frontend engineers and Software Engineers to present forecasts in a performant and timely manner
Requirements:
- MS in Math, computer science, or AI-related field
- 4+ years of working experience in machine learning, and statistics focusing on forecasting in leading product companies
- Proficient with Python, Spark, Databricks, SQL, large-scale ML/DL platforms, and ML forecasting models
- Passion for technology, open to interdisciplinary work, and experience in building data-driven services and applications
- Excellent written and verbal communication skills
Nice to Have:
- Understanding of generative machine learning models, including architectures like transformers and popular implementations such as GPT
- Understanding different genAI application development methods
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