Machine Learning Engineer

About the Role:

We are seeking a highly skilled Machine Learning Engineer to join our team for the SCB Group Function Portfolio Engagement. The ideal candidate will have strong expertise in ML model optimization, deep learning frameworks, cloud deployments, and software engineering best practices. This role involves designing and implementing scalable machine learning (ML) solutions while ensuring high performance and reliability in a production environment.

Key Responsibilities:

Model Development & Optimization

Implement Regularization techniques (L1, L2) to improve model generalization.

Optimize gradient descent methods using techniques like LoRA (Low-Rank Adaptation) and Quantization.

Work on Retrieval-Augmented Generation (RAG) implementations for AI-driven applications.

Deep Learning & Frameworks

Develop models using TensorFlow and optimize them for parallel computing.

Utilize Dask for distributed machine learning workloads.

Software Engineering & Design Principles

Apply SOLID principles and GOF (Gang of Four) Design Patterns to ensure maintainability.

Use abstract classes in Python to enforce structured code practices.

Implement Dependency Injection to enhance modularity and testability.

Parallel Computing & Performance Optimization

Work with multiprocessing & multithreading in Python to optimize computational efficiency.

Understand Python’s Global Interpreter Lock (GIL) and its impact on concurrency.

Apply time slicing & parallelization techniques for performance improvements.

Cloud, DevOps & APIs

Develop and deploy ML models using Azure ML SDK v2 and Databricks.

Implement Infrastructure as Code (IaC) using Terraform for scalable deployments.

Work with Azure Queues for event-driven architectures.

Design and optimize gRPCs & REST APIs for high-performance ML services.

Coding & Problem-Solving

Solve complex coding problems, such as:

E.g., find the first pair of numbers in a list that sum up to a given target (e.g., N = 11) and return their indices in Python.

Please send your resume to