Addison, Texas

Job Description:

Position Summary
Build and implement Machine Learning to automate and transform business processes. This includes helping to define the long-term strategy for the Machine Learning, including scoping use cases and practical examples of ML and AI. Drive transformational change, through ML and AI, within the Operations space. Work with the operations team, the business, technology teams, and technology management to identify and execute against planned demand. Partner with the business group and technology teams to understand business drivers and then design and architect the appropriate technology solutions to satisfy the business drivers. Working with business analysts and engineers to develop new machine learning models. Training and tuning machine learning models and hyperparameters. Researching, evaluating and exploring algorithms. Validating model inputs and outputs. Deploying models to production. Explain AI/ML to non-technical business stakeholders. Design machine learning systems. Research and implement appropriate ML algorithms and tools. Develop machine learning applications according to requirements. Run machine learning tests and experiments. Perform statistical analysis and fine-tuning using test results. Train and retrain systems when necessary. Keep abreast of developments in the field.

Required Skills
  • Bachelor's Degree in Computer Science/related field or equivalent working experience.
  • 7-10+ years of Python development experience.
  • Proven experience as a Machine Learning Engineer or similar role .
  • Ability to write robust code in Python and R.
  • Understanding of data structures, data modeling and software architecture .
  • Deep knowledge of math, probability, statistics and algorithms .
  • Familiarity with machine learning frameworks .
  • Excellent leadership, communication, and presentation skills .
  • Ability to work in a team .
  • Outstanding analytical and problem-solving skills.

Desired Skills
  • Experience with Core Java and J2EE Technologies.
  • Experience with Automated Logistics Management Tool.
  • Data Mining/Data Warehousing/Business Intelligence.


Job Band:
H5

Shift:
1st shift (United States of America)

Hours Per Week:
40

Weekly Schedule:

Referral Bonus Amount:
0
--> Job Description:

Position Summary
Build and implement Machine Learning to automate and transform business processes. This includes helping to define the long-term strategy for the Machine Learning, including scoping use cases and practical examples of ML and AI. Drive transformational change, through ML and AI, within the Operations space. Work with the operations team, the business, technology teams, and technology management to identify and execute against planned demand. Partner with the business group and technology teams to understand business drivers and then design and architect the appropriate technology solutions to satisfy the business drivers. Working with business analysts and engineers to develop new machine learning models. Training and tuning machine learning models and hyperparameters. Researching, evaluating and exploring algorithms. Validating model inputs and outputs. Deploying models to production. Explain AI/ML to non-technical business stakeholders. Design machine learning systems. Research and implement appropriate ML algorithms and tools. Develop machine learning applications according to requirements. Run machine learning tests and experiments. Perform statistical analysis and fine-tuning using test results. Train and retrain systems when necessary. Keep abreast of developments in the field.

Required Skills
  • Bachelor's Degree in Computer Science/related field or equivalent working experience.
  • 7-10+ years of Python development experience.
  • Proven experience as a Machine Learning Engineer or similar role .
  • Ability to write robust code in Python and R.
  • Understanding of data structures, data modeling and software architecture .
  • Deep knowledge of math, probability, statistics and algorithms .
  • Familiarity with machine learning frameworks .
  • Excellent leadership, communication, and presentation skills .
  • Ability to work in a team .
  • Outstanding analytical and problem-solving skills.

Desired Skills
  • Experience with Core Java and J2EE Technologies.
  • Experience with Automated Logistics Management Tool.
  • Data Mining/Data Warehousing/Business Intelligence.


Job Band:
H5

Shift:
1st shift (United States of America)

Hours Per Week:
40

Weekly Schedule:

Referral Bonus Amount:
0
Job Description:

Position Summary
Build and implement Machine Learning to automate and transform business processes. This includes helping to define the long-term strategy for the Machine Learning, including scoping use cases and practical examples of ML and AI. Drive transformational change, through ML and AI, within the Operations space. Work with the operations team, the business, technology teams, and technology management to identify and execute against planned demand. Partner with the business group and technology teams to understand business drivers and then design and architect the appropriate technology solutions to satisfy the business drivers. Working with business analysts and engineers to develop new machine learning models. Training and tuning machine learning models and hyperparameters. Researching, evaluating and exploring algorithms. Validating model inputs and outputs. Deploying models to production. Explain AI/ML to non-technical business stakeholders. Design machine learning systems. Research and implement appropriate ML algorithms and tools. Develop machine learning applications according to requirements. Run machine learning tests and experiments. Perform statistical analysis and fine-tuning using test results. Train and retrain systems when necessary. Keep abreast of developments in the field.

Required Skills
  • Bachelor's Degree in Computer Science/related field or equivalent working experience.
  • 7-10+ years of Python development experience.
  • Proven experience as a Machine Learning Engineer or similar role .
  • Ability to write robust code in Python and R.
  • Understanding of data structures, data modeling and software architecture .
  • Deep knowledge of math, probability, statistics and algorithms .
  • Familiarity with machine learning frameworks .
  • Excellent leadership, communication, and presentation skills .
  • Ability to work in a team .
  • Outstanding analytical and problem-solving skills.

Desired Skills
  • Experience with Core Java and J2EE Technologies.
  • Experience with Automated Logistics Management Tool.
  • Data Mining/Data Warehousing/Business Intelligence.


Shift:
1st shift (United States of America)

Hours Per Week:
40
Learn more about this role

Addison, Texas

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