Senior Engineer Machine Learning
Senior Engineer Machine Learning
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Job Description
At TMobile we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package this is Total Rewards. Employees enjoy multiple wealthbuilding opportunities through our annual stock grant employee stock purchase plan 401(k) and access to free yearround money coaches. Thats how were UNSTOPPABLE for our employees!
Job OverviewAre you passionate about architecting and building systems for coding deploying and maintaining largescale machine learning models Do you have a comprehensive understanding of artificial intelligence machine learning and data engineering practices If so we want you to join our team at TMobile!
About Us:Our team Network AI and Core Performance works with a diverse range of data from voice and messaging to core and nonterrestrial data. We also handle social media data and customer call scripts. This variety of data enables us to build advanced analytics and Machine Learning (ML) modeling products and solutions. By collaborating with various stakeholders we translate datadriven insights into strategic actions that support TMobiles business objectives and ultimately improve the customer experience for TMobile customers.
Position Overview:We are seeking aSenior Data Engineer with a strong Machine Learning (ML) backgroundwho is passionate about architecting and building systems for coding deploying and maintaining throughout their lifecycle. The Sr Data Engineer designs and develops data architectures in onpremise cloud and hybrid platforms. The Sr Data Engineer collaborates with ML Engineers on analysis architecture design and development of data warehouse and business analytics solutions. This role mentors other team members in their efforts to build data engineering skills.
Job Responsibilities:
- Lead the development and implementation of APIs for internal and external data communication.
- Lead initiatives to improve data architecture and infrastructure.
- Design and develop data models to support analytics and reporting needs.
- Define and implement pipelines and infrastructure for performance and reliability.
- Implement and lead data quality assurance processes.
- Mentor junior Data Engineering teams based on a scalable set of best practices.
- Ensure data security and compliance with relevant regulations.
- Collaborate with multifunctional teams to understand data requirements and provide solutions
Education:
- Bachelors Degree Computer Science Statistics Informatics Information Systems Machine Learning or another quantitative field (Required)
- Masters/Advanced Degree Computer Science Statistics Informatics Information Systems Machine Learning or another quantitative field (Preferred)
Work Experience:
- 4 7 years proven experience withbig data architecture and pipeline development Hadoop Hive Spark Snowflake etc.
- 4 7 years proven experience with data modeling and data warehouse design
- 4 7 years delivering highquality ML models in production.
- Experience with realworld MLOps and knowledge of working in cloudcomputing environment like Azure AWS or Google Cloud.
- Experience in the telecom industry.
- Proficiency in Python libraries such as Pandas NumPy Pyspark.
- Proficiency in SQL for complex data querying and management as well as working familiarity with a variety of databases.
- Familiarity with version control systems like Git and DevOps.
- Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
- Knowledge of data governance and data security best practices.
- Knowledge of cloud platforms (AWS Azure or GCP) and their data services.
- Knowledge of AI and ML best practices.
- Knowledge on MLOps will be a plus.
- Experience on integrating ML model into date pipeline.
- Ability to orchestrate work across multiple projectswith strong communication and collaboration skills.
Knowledge Skills and Abilities:
- Programming Advanced SQL knowledge and experience working with relational databases query authoring (SQL) as well as working familiarity with a variety of databases (Required)
- Big Data Solid understanding of machine learning concepts and techniques related to supervised and unsupervised learning (Required)
- Problem Solving Ability to analyze a business problem/situation/task and develop it in a constructive solution to help the business make informed decisions. (Required)
- Management Ability to manage work across multiple projects good organizational skills (Preferred)
- Telecommunications Domain knowledge related to various streams in telecommunications including but not limited to Marketing Customer Experience Finance or Strategy. (Preferred)
Legally authorized to work in the United States
Travel:
Travel Required (Yes/No):No
DOT Regulated:
DOT Regulated Position (Yes/No):No
Safety Sensitive Position (Yes/No):No
Base Pay Range: $108000 $194900Corporate Bonus Target: 15
The pay range above is the general base pay range for a successful candidate in the role. The successful candidates actual pay will be based on various factors such as work location qualifications and experience so the actual starting pay will vary within this range.
At TMobile employees in regular nontemporary roles are eligible for an annual bonus or periodic sales incentive or bonus based on their role. Most Corporate employees are eligible for a yearend bonus based on company and/or individual performance and which is set at a percentage of the employees eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location TMobile our benefits exemplify the spirit of One Team Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and parttime employees have access to the same benefits when eligible. We cover all of the bases offering medical dental and vision insurance a flexible spending account 401(k) employee stock grants employee stock purchase plan paid time off and up to 12 paid holidays which total about 4 weeks for new fulltime employees and about 2.5 weeks for new parttime employees annually paid parental and family leave family building benefits backup care enhanced family support childcare subsidy tuition assistance college coaching short and longterm disability voluntary AD&D coverage voluntary accident coverage voluntary life insurance voluntary disability insurance and voluntary longterm care insurance. We dont stop there eligible employees can also receive mobile service & home internet discounts pet insurance and access to commuter and transit programs! To learn about TMobiles amazing benefits check out.Never stop growing!
As part of the TMobile team you know the Uncarrier doesnt have a corporate ladderits more like a jungle gym of possibilities! We love helping our employees grow in their careers because its that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity youre living our values while investing in your career growthand we applaud it. Youre unstoppable!
TMobile USA Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age race ethnicity color religion creed sex sexual orientation gender identity or expression national origin religious affiliation marital status citizenship status veteran status the presence of any physical or mental disability or any other status or characteristic protected by federal state or local law. Discrimination retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Uncarrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process please let us know by emailing or calling. Please note this contact channel is not a means to apply for or inquire about a position and we are unable to respond to nonaccommodation related requests.
Required Experience:
Senior IC
Employment Type
Full-Time
