drjobs Lead Machine Learning Engineer

Lead Machine Learning Engineer

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1 Vacancy
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Job Location drjobs

Seattle - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Logic20/20 is seeking a Machine Learning Engineer to support data science teams that are utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create production level systems through application of machine learning models.  

What youll do:

  • Create frameworks to predict a variety of outcomes in different scenarios 
  • Create models of customer satisfaction that provide detailed insight into what causes a customer to take different actions 
  • Collaborate with other data scientists and stakeholders on projects 
  • Research and design statistical models to answer target questions optimize processes and outcomes and inform decisionmaking 
  • Develop solutions in R or Python 
  • Develop productiongrade solutions 
  • Work in Hadoop Redshift and Spark 
  • Translate business and product questions into analytics projects 
  • Communicate clearly over written and oral channels while translating complex methodologies and analytical results into highlevel insights 

Qualifications :

Required:

  • 6 years of experience in a data science or machine learning (MLOps) role
  • 5 years of experience with Python in a production environment
  • 3 years building statistical models/evaluating/Feature selection in a high impact role 
  • Strong experience with AWS AWS Glue Sagemaker
  • Strong experience with Terraform
  • Knowledge of professional enterprise software development and practices including software lifecycle best coding practices version control architecture testing and deployment 
  • Familiarity with popular machine learning libraries and frameworks including TensorFlow Keras etc. 
  • Knowledge of statistics and Machine Learning techniques 
  • Experience with GitHub
  • Experience building data pipelines 

Preferred:

  • Masters degree/PhD in computer science or related field 
  • Ability to build enterprise templates
  • Experience with drift detection bias detection
  • Ability to model dashboards
  • Ability to monitor models in production
  • Azure DevOps
  • Ability to implement best practices


Additional Information :

All your information will be kept confidential according to EEO guidelines. 

At Logic20/20 we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package with a target base salary range of $150000 $170000 for this role. The final base salary offered is dependent on factors such as relevant experience skills qualifications and location. Eligible employees may also qualify for performancebased bonuses and other incentives.

Learn more about life at Logic20/20!

Visit our Life at Logic page to explore our culture benefits and what makes Logic20/20 a great place to grow your career!

Core Values 

At Logic20/20 we are guided by three core values: Drive toward Excellence Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employeesand they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at 2020/company/ourvalues. 

Equal Opportunity Statement 

We believe that people should be celebrated: for their talents ideas and skills but most of all for what makes them unique. We prohibit harassment and/or discrimination based on age race creed color religion sex national origin ancestry disability status veteran status sexual orientation gender identity or expression genetic information marital status citizenship status or any other basis as protected by federal state or local law. 

To learn more about our DE&I initiatives please visit: 2020/company/diversityequityinclusion  

Privacy Policy 

During the recruitment and hiring process we gather process and store some of your personal data. We consider data privacy a priority. For further information please view our company privacy policy. 


Remote Work :

Yes


Employment Type :

Fulltime

Employment Type

Remote

About Company

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