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Position: ML Engineer

Location: Dearborn, MI

Type: Contract

 

Job Description:

 

Position Responsibilities


Work closely with Tech Anchor, Product Manager and Product Owner to deliver
machine learning use cases  using agile Methodology.
Work with software and ML engineers to tackle challenging AI problems.
Work specifically on the integration team to drive forward Platform
integration and AI/ML adoption with other internal and external systems.
Help innovate by researching state-of-the-art algorithms. Share knowledge
with the team. 
Act as a consultant to the business vs. an order taker.
Lead by example in use of Paired Programming for cross training/upskilling,
problem solving, and speed to delivery.
Leverage latest ML/NLP/ GCP technologies.  

Basic Qualifications


A Bachelor?s degree in Computer Science / Computer Engineering or similar
technical discipline.
8+ years of experience with Machine Learning Technologies.
2+ years of work experience as a software engineer with exceptional
software engineering knowledge.
Experience and good understanding of Machine Learning / Deep Learning
Models / Python / Natural Language Processing
Understanding or desire to learn end to end Machine Learning technology
stack (Tools such as Domino Data Labs, Kubeflow, Kubernetes, SeldonCore, GCP,
Jupyer Notebook, HPC, Hive, Hadoop, etc).
Strong soft skills of communication , ability to share/teach others, work
collaboratively with others etc.
Good understanding of cloud design considerations and limitations and
impact of pricing.
Proficient in Python, and NLP/ML frameworks/libraries.
Prior experience working with: container technology, docker files, docker
images, GitHub, CI/CD concepts.  

Desired Skills


Master and PhD focused in Computer Science / Machine Learning (highly
preferred).
Experience working with Google Cloud platform ? specifically the AI
Platform and other GSP AI/ML services.
Experience in delivering machine learning software products using iterative
approach.
Experience in programming concepts such as Paired Programming, Test Driven
Development, etc.
Experience in supporting continuous improvement by investigating
development alternatives.
Experience using Machine Learning tools (pytorch, tensorflow, xgboost etc).
Experience applying agile practices to solution delivery.
Experience in all phases of the development lifecycle.
Must be team-oriented and have excellent oral and written communication
skills.
Good organizational and time-management skills.
Must be a self-starter to understand existing bottlenecks and come up with
innovative solutions.
Open to learning new technology.
Knowledge of coding and best practices.   <>


Reference : Data Scientist jobs

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Published at 08-02-2022
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