Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Chevron Corporation, a global leader in integrated energy, is seeking a Senior Machine Learning Engineer for their Bangalore office. This role represents an exciting opportunity to work with one of the world's most prominent energy companies, developing and implementing cutting-edge artificial intelligence solutions.
The position involves designing and constructing sophisticated machine learning models, as well as refining existing systems. The ideal candidate will combine exceptional skills in statistics and programming with a deep understanding of data science and software engineering principles. Working hours will be flexible, either 8:00am to 5:00pm or 1:30pm to 10:30pm, supporting global operations.
As a Senior ML Engineer, you'll be responsible for the full lifecycle of machine learning projects - from prototyping to production deployment. You'll work with Azure ML and MLOps, implement various ML algorithms, and ensure the continuous improvement of AI systems. The role requires expertise in Python, R, and modern ML frameworks like Keras and PyTorch.
This position offers the opportunity to work on meaningful projects that enhance business value across Chevron's global operations. You'll be part of a company that's involved in virtually every facet of the energy industry - from exploration and production to refining and distribution. The role combines technical excellence with business impact, making it an ideal opportunity for experienced ML engineers looking to make a significant impact in the energy sector.
Responsibilities For Senior Machine Learning Engineer
- Study and transform data science prototypes
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Keep abreast of developments in the field
Requirements For Senior Machine Learning Engineer
- Azure Machine Learning and MLOPS experience with 5-10 years of experience
- Proven experience as a Machine Learning Engineer or similar role
- Understanding of data structures, data modeling and software architecture
- Deep knowledge of math, probability, statistics, and algorithms
- Ability to write robust code in Python, and R
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- Excellent communication skills
- Ability to work in a team
- Outstanding analytical and problem-solving skills
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