Data ScientistML Architect

ECCLESIASTES INC

Newark (DE)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Job summary

A technology firm is seeking an experienced ML Architect to design and architect an MVP using AWS Sagemaker. The ideal candidate will have over 10 years of experience and strong skills in AWS, Snowflake, and Python. The role includes assessing and improving the current data pipeline and operations model. This position may lead to a full-time role with the company, focused on advancing digital and AI capabilities to enhance R&D and manufacturing efforts.

Qualifications

  • 10+ years experience as an ML Architect.
  • Strong skills in AWS and deployment.
  • Experience with Snowflake and Python.

Responsibilities

  • Help design and architect an MVP in AWS Sagemaker.
  • Assess current operations model and data pipeline.
  • Participate in build and deploy phases.

Skills

ML Architect
AWS
Snowflake
Python
Deployment skills

Job description

Description:

We are looking for an ML Architect that will help design and architect an MVP in AWS Sagemaker. Customer currently has about 20 models deployed but their operations model and data pipeline are a mess and not built well. We are looking for an architect to go through assessment and design phase through build/deploy. This individual will have a chance to be a TGS full time employee.

Top Skills' Details

10+ years ML Architect AWS Snowflake python Strong Deployment skills

Recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.

Our vision for digital, data analytics and AI:

AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. Leading Edge Tech Stack

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