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    Senior Machine Learning Engineer - Providence, United States - PPL

    PPL
    PPL Providence, United States

    2 weeks ago

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    Description
    Company Summary Statement

    As one of the largest investor-owned utility companies in the United States, PPL Corporation (


    NYSE:
    PPL), is committed to creating long-term, sustainable value for our 3.5 million customers, our shareowners and the communities we serve.

    Our high-performing regulated utilities — PPL Electric Utilities, Louisville Gas and Electric, Kentucky Utilities and Rhode Island Energy — provide an outstanding experience for our customers, consistently ranking among the best utilities in the nation.

    PPL's companies are also addressing challenges head-on by investing in new infrastructure and technology that is creating a smarter, more reliable and resilient energy grid.

    We are committed to doing our part to advance a cleaner energy future and drive innovation that enables us to achieve net-zero carbon emissions by 2050 while maintaining energy reliability and affordability for the customers and communities we serve.

    PPL is a positive force in the cities and towns where we do business, providing support for programs and organizations that empower the success of future generations by helping to build and maintain strong, diverse communities today.

    Overview


    PPL's Data & Analytics Office is seeking a Senior Machine Learning Engineer to be an integral part of the Digital Transformation.

    The ideal candidate is expected to have a good understanding of machine learning, artificial intelligence and big data analytics solutions and should be able to analyze and optimize machine learning workloads on advanced hardware and software platforms.

    They will be instrumental in building highly scalable Machine Learning frameworks as part of our Data & Analytics Platform.

    They will be working cross-functionally with the Data Scientists, Data Engineers, and business groups and lead the design and development of Advanced Analytics within PPL's Data Platform.

    The Senior Machine Learning Engineer will use their deep technical experience in working with technologies related to Machine Learning and AI frameworks and use this knowledge to implement best practices.

    It will be a crucial role to create and implement a well-informed Advanced Analytics strategy.

    They should be able to communicate to technical and non-technical audiences and guide more junior team members in the creation and execution of the developed vision.

    This position is available remote or hybrid with working locations in Louisville, KY or Allentown, PA.

    Responsibilities

    Lead the end-to-end development of Machine Learning (ML) and Artificial Intelligence (AI) solutions for PPL's data platform.

    Implement machine learning algorithms into services and pipelines to be consumed at scale.


    Work with our business stakeholders across PPL to understand their business needs and translate those needs to solutions using ML/AI.

    Own and drive contemporary best practices in deploying data science at scale.


    As a trusted leader and hands-on engineer, share recommendations around best practices, cost trade-offs, security, performance, and reliability in bringing ML models to production.

    Collaborate with Data Scientists, Data Engineers, and Platform developers across the organization in an Agile environment.

    Thought Leadership:
    evangelize and drive best practices in ML/AI development life cycle, production deployment and governance.


    Enjoy working in a collaborative environment with data scientists, data engineers, architects, Product Owners/Product Managers from other business units and/or customers, to develop high-value solutions for our most complex data-based challenges.

    May be assigned an Electric Utilities emergency and storm role.

    This is a special assignment that comes into play during storms and other emergencies when the company needs to restore power or respond to other issues affecting customer service.

    This role may necessitate the need to work after-hours, outside of your normal schedule.

    Qualifications

    Bachelor's in Computer Science or related field

    5+ years of programming in large scale production systems, in languages such as Python, Java, Scala etc.


    3+ years of experience in Cloud environments such as Azure/AWS and at least 3+ years of experience in services in these environments related to ML/AI.


    3+ years of experience in deploying and operating ML/AI models (ML Ops) in production in cloud and edge environments; Experience in designing, deployment and management scalable data pipelines.

    Experience with a variety of ML and AI techniques (multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods, etc.)

    Advanced skillset building models and performing analysis using scripting languages (Python, R, Scala, etc.)

    Advanced knowledge of relational and non-relational databases (SQL, NoSQL)

    Proficient in large-scale distributed systems (Hadoop, Spark, etc.)

    Experience with designing and presenting compelling insights using visualization tools (PowerBI, Tableau etc.)

    Experience with wrangling, exploring, transforming, and analyzing datasets of varying size and complexity.

    Experience working using Agile-based principles and tools.

    Stay current with AI/ML trends and research; be a thought leader in AI area.


    Strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level.

    Excellent written and verbal communication skills and team player attitude.


    Preferred Qualifications:
    Master's in Computer Science or related field.

    Microsoft Azure Certifications

    Bachelor's in Computer Science or related field

    5+ years of programming in large scale production systems, in languages such as Python, Java, Scala etc.


    3+ years of experience in Cloud environments such as Azure/AWS and at least 3+ years of experience in services in these environments related to ML/AI.


    3+ years of experience in deploying and operating ML/AI models (ML Ops) in production in cloud and edge environments; Experience in designing, deployment and management scalable data pipelines.

    Experience with a variety of ML and AI techniques (multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods, etc.)

    Advanced skillset building models and performing analysis using scripting languages (Python, R, Scala, etc.)

    Advanced knowledge of relational and non-relational databases (SQL, NoSQL)

    Proficient in large-scale distributed systems (Hadoop, Spark, etc.)

    Experience with designing and presenting compelling insights using visualization tools (PowerBI, Tableau etc.)

    Experience with wrangling, exploring, transforming, and analyzing datasets of varying size and complexity.

    Experience working using Agile-based principles and tools.

    Stay current with AI/ML trends and research; be a thought leader in AI area.


    Strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level.

    Excellent written and verbal communication skills and team player attitude.


    Preferred Qualifications:
    Master's in Computer Science or related field.

    Microsoft Azure Certifications

    Lead the end-to-end development of Machine Learning (ML) and Artificial Intelligence (AI) solutions for PPL's data platform.

    Implement machine learning algorithms into services and pipelines to be consumed at scale.


    Work with our business stakeholders across PPL to understand their business needs and translate those needs to solutions using ML/AI.

    Own and drive contemporary best practices in deploying data science at scale.


    As a trusted leader and hands-on engineer, share recommendations around best practices, cost trade-offs, security, performance, and reliability in bringing ML models to production.

    Collaborate with Data Scientists, Data Engineers, and Platform developers across the organization in an Agile environment.

    Thought Leadership:
    evangelize and drive best practices in ML/AI development life cycle, production deployment and governance.


    Enjoy working in a collaborative environment with data scientists, data engineers, architects, Product Owners/Product Managers from other business units and/or customers, to develop high-value solutions for our most complex data-based challenges.

    May be assigned an Electric Utilities emergency and storm role.

    This is a special assignment that comes into play during storms and other emergencies when the company needs to restore power or respond to other issues affecting customer service.

    This role may necessitate the need to work after-hours, outside of your normal schedule.

    Remote Work


    The company reserves the right to determine if this position will be assigned to work on-site, remotely, or a combination of both.

    Assigned work location may change.

    In the case of remote work, physical presence in the office/on-site may be required to engage in face-to-face interaction and coordination of work among direct reports and co-workers.

    Equal Employment Opportunity


    Our company is an equal opportunity, affirmative action employer dedicated to diversity and the strength it brings to the workplace.

    All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, protected veteran status, sexual orientation, gender identify, genetic information, disability status, or any other protected characteristic.

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