Machine Learning Engineer

2 days ago


Seattle, Washington, United States aKUBE Full time

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:

  1. Design and develop machine learning models to assist finance and product teams in improved quarterly spending forecasting
  2. Develop scalable and efficient data pipelines and processes for training, inferencing, and model evaluation for high accuracy
  3. Collaborate with engineering teams and finance and product managers in an open, creative environment
  4. Work closely with Frontend engineers and Software Engineers to present forecasts in a performant and timely manner

Requirements:

  1. MS in Math, computer science, or AI-related field
  2. 4+ years of working experience in machine learning, and statistics focusing on forecasting in leading product companies
  3. Proficient with Python, Spark, Databricks, SQL, large-scale ML/DL platforms, and ML forecasting models
  4. Passion for technology, open to interdisciplinary work, and experience in building data-driven services and applications
  5. Excellent written and verbal communication skills

Nice to Have:

  1. Understanding of generative machine learning models, including architectures like transformers and popular implementations such as GPT
  2. Understanding different genAI application development methods


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