Back to search results

Artificial Intelligence Machine Learning (AIML) Engineer

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

• Education: Graduate/Post graduate or equivalent professional experience
• 6-8 years of IT 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 communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills

Desired Skills

• Good Exposure to Core Java , J2EE Technologies
• 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

• Education: Graduate/Post graduate or equivalent professional experience
• 6-8 years of IT 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 communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills

Desired Skills

• Good Exposure to Core Java , J2EE Technologies
• 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

Full time

JR-21080159

Band: H5

Manages People: No

Travel: Yes, 5% of the time

Manager:

Talent Acquisition Contact:

Jessica Kreiselmaier

Referral Bonus:

0