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Machine Learning Engineer

Skills

Job Description

Job purpose / summary

This role will have a particular focus on supporting the development of machine learning products by working with stakeholders to understand their business needs, translate them into data problems, and then set the direction of projects to solve those data problems. Works closely within cross-functional teams to understand key business stakeholder needs to develop and deliver high-quality solutions, making the system better for all involved. Requires a mixture of software engineering, machine learning, customer insight, data science, and strong collaboration skills to be successful.

Duties and responsibilities

The ideal candidate will be responsible for:

  • Building scalable machine learning systems and data driven products working with cross-functional teams
  • Selecting appropriate databases and data representation methods that ensure successful testing of machine learning models
  • Analyzing highly complex business requirements, design and writing technical specifications to design or redesign complex applications.
  • Building machine-learned models in areas such as user segmentation, personalized recommendations, conversion rate prediction of visiting customers, or time series demand forecasting
  • Supervising design and code reviews
  • Building scalable production systems for data collection, data transformation, feature extraction, model training and scoring
  • Developing innovative patentable ideas that ensures the competitiveness of products and services within the domain of similar work being done in the industry
  • Developing new machine learning models using structured and unstructured data
  • Building entity resolution platforms that can identify references to companies, brands and products in highly unstructured digital documents and linking them back to real world entities

Competencies

The following basic application of the following KSAs are relevant:

  • A strong technical background working in a big data ecosystem and ability to perform data analysis, data engineering, machine learning design and development
  • Researching, developing and analyzing structured and unstructured data
  • Understanding and developing models that help achieve business objectives
  • Using an analytical, data-driven approach to drive a deep understanding of businesses processes
  • Informing optimal approaches to machine learning for product requirements
  • Defining data requirements to build complex predictive models
  • Computer and networking troubleshooting and maintenance procedures.
  • Database management systems and applications
  • Performing data augmentation exercises
  • Data Management
  • Master Data Management
  • Change Management
  • Data Engineering
  • Process Development
  • Information Management
  • System Development
  • Capability Development
  • Learning Management
  • Product Management
  • Customer Research
  • Identity Management
  • Cost Management
  • Information Technology

Tools and technology

  • Using distributed software tools including data collection, data process, big data, machine learning services and visualization technologies
  • Computer science fundamentals and programming
  • Software engineering and system design
  • Machine learning algorithms and libraries
  • Data modeling and evaluation
  • Incident management processes and procedures
  • Software applications for programming
  • Web-based services
  • Machine learning frameworks
  • Open-Source Software
  • Core Java
  • Embedded Software
  • Microsoft Cognitive Toolkit
  • Database Management Systems
  • Web framework
  • Amazon Web Services
  • Web Application
  • Microsoft Dynamics
  • Azure Machine Learning
  • Adobe Creative Cloud
  • Java Script
  • Computer Applications
  • Embedded Systems
  • Azure Data Factory
  • Microsoft AI Builder

Reporting relationship

To be completed by the user of this job description as appropriate

Direct reports (if appropriate)

To be completed by the user of this job description as appropriate

Qualifications

Education

To be completed by the user of this job description as appropriate

Certifications

To be completed by the user of this job description as appropriate

Other relevant qualifications

To be completed by the user of this job description as appropriate

Key attributes

To be completed by the user of this job description as appropriate

Experience

To be completed by the user of this job description as appropriate

Working conditions (if required)

If the job requires a person to work in special working conditions this should be stated in the job description. Special working conditions cover a range of circumstances from regular evening and weekend work, shift work, working outdoors, working with challenging clients, and so forth.

Physical requirements (if appropriate)

If the job is physically demanding, this should be stated in the job description. A physically demanding job is one where the incumbent is required to stand for extended periods of time, lift heavy objects on a regular basis, do repetitive tasks with few breaks, and so forth.