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Sr. Engineer- Machine Learning

📁
Accounting/Audit/Finance
📅
21020499 Requisition #

Waste Management (WM), a Fortune 250 company, is the leading provider of comprehensive waste and environmental services in North America. We are strongly committed to a foundation of operating excellence, professionalism, and financial strength. WM serves nearly 25 million customers in residential, commercial, industrial, and municipal markets throughout North America through a network of collection operations, transfer stations, landfills, recycling facilities and waste-based energy production projects. 

The Enterprise Analytics & Data Management team is part of the Waste Management’s Digital organization.  Our mission is to accelerate business growth and drive operational efficiencies by extracting insights from data, predicting business outcomes, and embedding intelligence into business processes.  As a member of EADM you will deliver insights and solutions across the organization in areas such as routing, logistics, revenue management, customer experience, people analytics, business operations and more. 

We are currently seeking an AI/ML Sr. Engineer.

  1. Job Summary 

The AI/ML Sr. Engineer will support our customer and other business teams with insights gained from analyzing images and other customer data. The ideal candidate is adept at using large data sets to find opportunities and using models to test the effectiveness of different courses of action. S/he must have strong experience using a variety of data mining/data analysis methods, using a variety of tools, building, and implementing models, using/creating algorithms and creating/running simulations. S/he must have a proven ability to communicate actionable results with their data-based insights. S/he must be comfortable working with a wide range of functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with internal teams to improve business outcomes.

  1. Essential Duties and Responsibilities 
  • Mine and analyze data from company databases to drive improvement of business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop and deploy AI/ML techniques and algorithms to enable and accelerate business decision making.
  • Partner with in-house data strategy experts to design analytically ready datasets by stitching customer data across multiple platforms and incorporating business rules.
  • Periodically validate model performance and update models based on changing business strategies/objectives.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.

 

  1. Qualifications 
    The requirements listed below are representative of the qualifications necessary to perform the job. 
  1. Education and Experience 
  • A Bachelor's degree, Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field.
  • 8+ years of experience in building and managing AI/ML models.
  • Familiarity with the following Concepts/software/tools:
    • Experience in Supervised Learning, Unsupervised Learning, CNN, RNN, Deep-Learning, Image Processing and NLP. Experience in Reinforcement Learning is a plus.
    • Experience creating and using advanced machine learning algorithms and statistics: regression, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
    • Experience in Python, Python for Data Science, Data Visualization
    • Experience working with one or more frameworks such as TensorFlow, PyTorch, Keras, OpenCV
    • Experience on Cloud (AWS, Azure, Goole) is a Plus
    • Experience on AWS Sage maker is a Plus
    • Experience visualizing/presenting data for stakeholders using: PowerBI, ggplot, etc. is a plus
    • Coding knowledge and experience with several languages: C, C++, Java is a plus
    • Experience in MLOps, MLOps on AWS is a plus
  1. Domain Expertise
  • Experience in image and video processing, computer vision, pattern recognition, and other related applied engineering fields
  • Experience connecting sales/operational/channel data between multiple online and offline data sources.
  • Experience in AI-related technologies

 

  1. Certificates, Licenses, Registrations or Other Requirements 

•     Certified Analytics Professional (CAP) or other Data Science certifications a plus.

 

  1. Other Knowledge, Skills or Abilities Required 
  • Strong written and oral communication skills with ability to work with users, peers, and management.
  • Strong interpersonal skills.
  • Ability to work independently and as part of a team to successfully execute projects.
  • Highly motivated, self-starter with problem solving skills.
  • Ability to multitask and meet aggressive deadlines efficiently and effectively.
  • Detail-oriented but does not lose sight of the big picture.
  • Demonstrate ability to learn and understand business processes quickly.

 

  1. Benefits 
    At Waste Management, each eligible employee receives a competitive total compensation package including Medical and Life Insurance. Our employees also receive Paid Vacation, Holidays, and Personal Days. Please note that benefits may vary by location.

 

 

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