What are the responsibilities and job description for the Machine Learning Engineer position at BP?
Job Details
Entity:
Production & Operations
Job Family Group:
IT&S Group
Job Description:
Role Synopsis
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.
Key Accountabilities
Essential Education and Experience
How much do we pay (Base)? $119,000-$140,000 *Note that the pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting.
Why join our team?
At bpx, we provide an excellent working environment and a reward and wellbeing package to enable your work to fit with your life. These can include, but not limited to, access to health, vision and dental insurance, flexible working schedule, paid time off policy, discretionary annual bonus program, long-term incentive program, and a generous 401K matching program.
We support our people to learn and grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly.
We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment.
Don't hesitate to get in touch with us to request any accommodations!
Travel Requirement
Negligible travel should be expected with this role
Relocation Assistance:
This role is not eligible for relocation
Remote Type:
This position is a hybrid of office/remote working
Skills:
Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving
Legal Disclaimer:
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp's recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.
Production & Operations
Job Family Group:
IT&S Group
Job Description:
Role Synopsis
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.
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
Essential Education and Experience
- A Bachelor's degree (Master's preferred) in Statistics, Mathematics, Computer Science, or any other related quantitative field.
- 7 years in data science or related field, 3 years of hands-on experience in machine learning operations.
- 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.
- Must be legally authorized to work in the US without sponsorship.
How much do we pay (Base)? $119,000-$140,000 *Note that the pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting.
Why join our team?
At bpx, we provide an excellent working environment and a reward and wellbeing package to enable your work to fit with your life. These can include, but not limited to, access to health, vision and dental insurance, flexible working schedule, paid time off policy, discretionary annual bonus program, long-term incentive program, and a generous 401K matching program.
We support our people to learn and grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly.
We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment.
Don't hesitate to get in touch with us to request any accommodations!
Travel Requirement
Negligible travel should be expected with this role
Relocation Assistance:
This role is not eligible for relocation
Remote Type:
This position is a hybrid of office/remote working
Skills:
Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving
Legal Disclaimer:
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp's recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $119,000 - $140,000
