Prin AI/Data Science Engineer

2 weeks ago

Minneapolis, United States ATR International Full time

Job Description:

We are seeking a Prin AI/Data Science Engineer for a very important client This request is for AMI (Analytics Manufacturing Imaging) Platform Responsibilities may include the following and other duties may be assigned In new product design roles: develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms In product/systems improvement projects: uses machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy In both theoretical development environments and specific product design, implementation and improvement environments, uses current programming language and technologies to translate algorithms and technical specifications into code Completes programming and implements efficiencies, performs testing and debugging Completes documentation and procedures for installation and maintenance Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience Can work with large scale computing frameworks, data analysis systems and modeling environments TECHNICAL SPECIALIST CAREER STREAM: An individual contributor with responsibility in our technical functions to advance existing technology or introduce new technology and therapies Formulates, delivers and/or manages projects assigned and works with other stakeholders to achieve desired results May act as a mentor to colleagues or may direct the work of other lower level professionals The majority of time is spent delivering R&D, systems or initiatives related to new technologies or therapies – from design to implementation - while adhering to policies, using specialized knowledge and skills DIFFERENTIATING FACTORS Autonomy: Recognized expert, managing large projects or processes Exercises considerable latitude in determining deliverables of assignments, with limited oversight from manager Coaches, reviews and delegates work to lower level specialists Organizational Impact: Contributes to defining the direction for new products, processes, standards, or operational plans based on business strategy with a significant impact on work group results May manage large projects or processes that span outside of immediate job area Innovation and Complexity: Problems and issues faced are difficult, moderately complex and undefined, and require detailed information gathering, analysis and investigation Develops solutions to moderately complex problems, and/or makes moderate to significant improvements of processes, systems or products independently to enhance performance of job area Implements solutions to problems Communication and Influence: Represents organization as a primary contact for specific projects and initiatives; communicates with internal and external customers and vendors at various levels May negotiate with others to reach understanding or agreement, and influence decision-making Leadership and Talent Management: Typically provides guidance, coaching and training to other employees within job area Typically manages major / moderately complex projects, involving delegation of work and review of work products, at times acting as a team leader.

Requirement:

Common Skills·Significant Programming Skills, particularly Python·Experience working in Agile Development Environment·Experience developing code in structured team environment (Version Control (i.e Git), Code Reviews, etc.)·Experience developing in AWS MLOps Engineering·AWS Sagemaker·Ability to build MLOps pipelines·Experience with popular MLOps frameworks Open-source like Kubeflow, MLFlow Or commerical like Comet ML or AWS Sagemaker·Experience working with data scientists developing computer vision applications Data Science·Experience in Deep Learning Computer Vision, specifically in manufacturing environment·AWS Sagemaker·Experience with basic popular computer vision and deep learning frameworks (Pytorch, tensorflow, openCV)·Experience with Halcon a plus·AWS Lookout for vision a plus·Video Analytics a plus·Experience with Large Vision Models an extra plus Required Knowledge and Experience: Requires mastery of a specialty area and full knowledge of industry practices, typically obtained through advanced education combined with experience May have broad knowledge of project management Requires a Baccalaureate degree (or for degrees earned outside of the United States, a degree which satisfies the requirements of 8 C.F.R § 214.2(h)( 4)(iii)(A) and minimum 7 years of relevant experience, or advanced degree with a minimum of 5 years of relevant experience.

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