Machine Learning Engineer Local to AZVA

Machine Learning Engineer Onsite

Rate: $45.00 on w2

Required EXP:

Machine Learning 5yrs exp required
AWS
Familiarity with Tensorflow and the statistics scripting language R.

Location : Arlington Virginia

Skills Needed

Inventorybest practicesCONTINUOUS INTEGRATION/DELIVERYSTAFFINGMachine LearningSTRUCTURED SOFTWAREFulfillmentNatural Language ProcessingDecision SupportComputer VisionPTO


Overview:





Job Description:

Client is building next generation software hardware and processes that will run our global network of fulfilment centers that move millions of units of inventory and ensure customers get what they want when promised.
The Business Analytics and Decision Support (BADS) team automates the ingestion and curation of data for analyses business reviews and operational reporting demands.
Our north star is to enable and leverage the power of data to drive informed decisionmaking and value through analytical and scientifically derived insights and innovative solutions and processes.
As a Machine Learning Engineer within our BADS team you will work closely with science teams to bring research to production.
This is a role that combines engineering knowledge (around machine learning natural language processing computer vision) technical strength and product focus.
It will be your job to implement novel ML systems product integrations and performance optimizations releases into production.
While ensuring CI/CD compliance and ensuring best practices in software development and cloud infrastructure are followed (in the realm of scalability security and availability).
Key job responsibilities

Own the development and operationalization of solutions deployed in production.
Work across multiple teams to integrate our solutions with products owned by our partners.
Design model experimentation processes and frameworks in synergy with our scientists.
Help the team grow and cultivate best practices in software development MLOps and experimentation.
Model training data preprocessing
Story Behind the Need Business Group & Key Projects

BADS Team requires a MLE (Machine Learning Engineer) to complete productionalization of our ML models support operations efficiency gains.
Work that will not get completed without this resource(s):

BADS Team will not be able to scale nor productionalize our models and will remain within the research milestones.
Typical Day in the Role

Own the development and operationalization of solutions deployed in production.
Work across multiple teams to integrate our solutions with products owned by our partners.
Design model experimentation processes and frameworks in synergy with our scientists.
Help the team grow and cultivate best practices in software development MLOps and experimentation.
Model training data preprocessing
Ongoing support of model and lifestyle.
Compelling Story & Candidate Value Proposition

Industrial automation revolution and help with prediction and optimization for the warehouse distribution network and robotics.
Candidate Requirements

Leadership principles: Insist on the highest standards bias for action deliver results.
Top 3 musthave hard skills

5 years minimum machine learning experience.
Bachelors in programming or similar (statistics mathematical degrees on top of a tech degree would be a plus)
AWS development experience Build within AWS products.

AWS , LANGUAGE PROCESSING , MACHINE LEARNING , ML