
Machine Learning Solutions Developer
2 weeks ago
As an AI software engineer, you will be responsible for developing and deploying machine learning models to real-world applications. You will work closely with business stakeholders, software engineers, and data scientists to understand complex business challenges and deliver innovative solutions.
Key Responsibilities:
- Bridge the gap between machine learning model development and software applications.
- Leverage on existing latest ML frameworks and AI models to create optimized, maintainable, and scalable code.
- Collaborate with cross-functional teams to understand complex business challenges and deliver AI-powered solutions.
- Write high-quality, well-tested code following best practices and coding standards.
Requirements:
- Bachelor's/Master's degree in Computer Science, Machine Learning, Data Science, or a related field.
- 3+ years of non-internship professional software development experience.
- Practical experience in at least one of the following domains: time series forecasting, anomaly detection, search and recommendation systems, feedback control, interpretable machine learning, or computer vision.
Preferred Skills:
- Proficiency in frameworks like PyTorch or TensorFlow.
- Strong foundation in data structures, algorithms, and software engineering principles.
- Experience with large language models (LLMs) and emerging areas of prompt-engineering.
- Experience deploying ML workloads on Microsoft Azure, Huawei, or similar cloud platforms.
- Familiarity with MLOps platforms such as Azure ML or MLflow.
Culture:
Our culture is shaped by a strong set of shared behaviors that guide the way we work and uphold our commitment to driving the energy transition. We foster an institution-first mindset, where the success of the organization takes precedence over individual interests.
Accountability is a core principle, ensuring that we take ownership of our commitments and deliver on them with integrity and excellence. These values define who we are and create a workplace where our people can thrive while making a meaningful impact on driving energy transition.
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