Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Chevron, a global leader in integrated energy, is seeking a Senior Machine Learning Engineer for their Bangalore office. This role combines cutting-edge AI development with practical energy sector applications. The position involves designing and implementing sophisticated machine learning models, working with state-of-the-art technologies, and contributing to innovative solutions in the energy industry.
The ideal candidate will be responsible for developing self-learning applications that can evolve over time, pushing the boundaries of AI technology. They will work with Azure Machine Learning and MLOps, requiring strong expertise in Python, R, and modern ML frameworks like Keras and PyTorch.
This role offers the opportunity to work with a Fortune 500 company that's at the forefront of applying AI to solve complex energy sector challenges. The position supports global operations, with flexible working hours (8:00am to 5:00pm or 1:30pm to 10:30pm) to accommodate international collaboration.
The role combines technical expertise in machine learning with practical business applications, offering the chance to work on meaningful projects that impact global energy operations. Chevron's strong market position and commitment to technological innovation make this an excellent opportunity for a senior ML engineer 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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