Machine Learning Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

The Machine Learning Engineer will be responsible for implementing and maintaining data science models in bpx’s machine learning studio.The role will be a subject matter expert in machine learning operations and the associated technology. This role will bridge the gap between pure data science and the computational requirements needed to meet business outcomes.The role will have the ability to guide bpx’s data science journey in a nascent technology stack. The ML Engineer will have significant freedom and latitude to suggest and implement solutions.

Job Advert

Key Accountabilities

• Implement data science algorithms in bpx’s ML Studio (SageMaker).
• Create systems and processes to monitor performance of ML algorithms in production.
• Serve as the subject matter expert of ML Operations and guides data scientists in the practical implications of model design
• Collaborate with the data engineering team to build and maintain data pipelines from systems like Snowflake and OSI Pi
• Partner with bpx Architecture team to ensure endpoints, compute, and network considerations are built into solutions
• Takes initiative and stays up to date with the latest data science trends, techniques, and best practices, determining how to incorporate the most suitable practices in the department.
• Work as part of geographically dispersed team, effectively communicating prioritized business needs and prioritized project statuses
• Design systems to balance cost and performance to meet business outcomes

Experience

• 3+ years of hands on experience in machine learning operations.
• 7+ years of experience in data science or a related field
• Proven track record of implementing and scaling models in an operations or customers focused company
• Strong programming skills: Python and Cloud Implementation Scripting
• Experience with big data, real-time streaming data technologies, and cluster computing environments.
• Knowledge and exposure to cloud technologies, especially AWS.

Entity

Production & Operations

Job Family Group

IT&S Group

Relocation available

No

Travel required

No

Country

United States of America

About BP

PRODUCTION & OPERATIONS

This is the place to truly drive change. Our people develop hydrocarbon resources, deliver projects, operate refineries as well as oil and gas production assets.

Join us and make a difference by:

• making our production and operations safer and more standardised

• driving quicker reduction of our carbon emissions

• growing cash returns and delivering improved reliability and optimisation

• maximising efficiency through sharing resources

• accelerating the digital transformation of our operating assets

• developing our people faster, leveraging the scale of P&O

• building greater integration and collaboration in service of our purpose

Experience Level

Intermediate

Legal disclaimer

If you are selected for a position in the United States, your employment will be contingent upon submission to and successful completion of a post-offer/pre-placement drug test(and alcohol screening/medical examination if required by the role) as well as pre-placement verification of the information and qualifications provided during the selection process. The drug screen requires a hair test for which BP must be able to obtain a sufficient hair sample for analysis (~4 cm/1 ½” scalp, or > 2 cm/¾” body – arms & armpits/legs/chest)