Machine Learning Engineer:

Primary Skills: Machine Learning (Expert), Statistical Analysis (Advanced), Deep Learning (Intermediate), Large Model (Expert), Python (Intermediate) Contract Type: W2 Duration: 12 Months with possible extension Location: Bellevue, WA (LI-Onsite) Pay Range: $73.00 - $83.00 Per Hour LP Job Summary: We are seeking a highly skilled Applied Scientist IV to join our team. The ideal candidate will be an expert in machine learning, statistical analysis, and Python, with advanced skills in data visualization and foundational knowledge in deep learning. This role offers a competitive bill rate and is an urgent hire with an immediate start. Key Responsibilities: Design and implement complex machine learning algorithms. Conduct high-level statistical analysis to extract valuable insights from large data sets. Develop, test, and deploy models to solve predictive and prescriptive problems. Visualize data and model outcomes for stakeholder presentations. Continuously improve existing algorithms and processes for enhanced performance. Must-Have Skills: 5-8 years doing Mission Learning Models in production Delivered on Large ML projects. Build a customer experience for chat bot for interactive experience. Use traditional ML models and large language model classifications. ABOUT AKRAYA Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022) Industry Leaders in IT Staffing As staffing solutions providers for Fortune 100 companies, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires Join Akraya Today Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team