Applied Scientist IV: (No C2C)

Primary Skills: Deep Learning (Expert); Machine Learning (Expert), LLM(Expert), AI (Advance), Data Manipulation(Proficient), Model Development-(Proficient)

Contract Type: W2

Duration: 12 Months with possible extension

Location: Bellevue, WA (Onsite)

Pay Range: $75.00 - $83.00 Per Hour

Job Summary:

This role aims to drive innovation and advancements in AI chatbots through cutting-edge machine learning and data analysis techniques. As part of a collaborative team, the candidate will work on a large-scale ML project, focusing on customer-based AI solutions with a high accuracy rate. The position offers the opportunity to significantly impact improving chatbot interactions and contributing to the team's capability expansion in logistics and customs.

Key Responsibilities:

Looking for Real World LLM - 1-2 years and Fine Tuning in Deep Learning experience can be 3-4 years. Also, Manager is fine having Fresh Grad if they have PhD and done strong Research Thesis and doesn't have real world experience.

Faculty straight from collage, or a fresh grad is also fine since in this team they have people like that.

A candidate who has spent good amount of time solving similar type of problems and finetuning rather than done bit of everything.

Collaborate on large-scale machine learning projects, specifically focusing on AI chatbots.

Apply traditional machine learning models and large language model classifications.

Repurpose existing models within Amazon to meet project needs.

Engage in data manipulation and validation of machine learning methodologies.

Drive continuous improvement in AI chatbot accuracy and customer interaction experience.

Must-Have Skills:

Experience with Deep Leaning; Machine Learning Models in production

with PhD with strong Research Thesis ; and with Master’s degree in Engineering, Data Science, Computer Science, or Applied Mathematics 3-4 years ecperience needed

Demonstrable delivery on large ML projects.

Previous AWS experience is preferred.

Industry Experience:

Experience in logistics and customs domain is preferred.

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