Assistant Principal ML Engineer

Background:

The Smart Enterprise Platform Strategic Engineering Centre (SEP SEC) is one of five SECs within the Group Engineering Centre (GEC) in ST Engineering. Its mission is to deepen Data Analytics (DA) capabilities, proliferate DA usage group-wide, and to develop common/reusable DA products and tools for both internal and external use by all lines of businesses.

We are looking for an experienced Principal Machine Learning (ML) Engineer to help us create artificial intelligence products and production ready machine learning models. You will be responsible for driving the technical direction and strategy of our machine learning initiatives. You will lead a team of talented engineers and data scientists, collaborating with cross-functional teams to design and deliver innovative solutions to complex business challenges. Your expertise and leadership will be instrumental in advancing our machine learning capabilities and contributing to the success of our organization.

Key Responsibilities:

1. Lead the design, development, and deployment of state-of-the-art machine learning models and algorithms.
2. Provide technical leadership and mentorship to a team of machine learning engineers and data scientists.
3. Collaborate closely with cross-functional teams, including software engineers, devOp engineers, technical managers and domain experts, to understand business requirements and develop effective machine learning solutions.
4. Research and explore new machine learning techniques, algorithms, and frameworks to enhance the organization’s capabilities.
5. Architect scalable and reliable machine learning systems, ensuring performance, efficiency, and maintainability.
6. Conduct in-depth data analysis and modeling, leveraging large datasets to extract valuable insights and drive informed decision-making.
7. Stay up-to-date with the latest advancements in machine learning, artificial intelligence, and related fields, and apply this knowledge to solve complex problems.
8. Collaborate with stakeholders to define project goals, milestones, and deliverables, and effectively communicate progress and results.

Job Requirements:

1. Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus.
2. Demonstrated expertise and 6 -10 years of hands-on experience in developing and deploying machine learning models and algorithms.
3. Strong programming skills in languages such as Python, Java, or C++, with extensive experience in machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
4. Deep understanding of statistical analysis, data mining, & advanced ML techniques.
5. Proven track record of leading and delivering complex machine learning projects from inception to deployment.
6. Experience in architecting and developing scalable & distributed machine learning systems.
7. Proficiency in data preprocessing, feature engineering, and working with structured and unstructured data.
8. Expertise in deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models.
9. Strong analytical and problem-solving skills, with the ability to think critically and drive innovative solutions.
10. Excellent leadership, communication, and collaboration skills, with the ability to influence and inspire team members and stakeholders.

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