We are hiring on behalf of our client, a renowned IT corporation, for a Machine Learning Engineer to join their team on a contract basis. The successful candidate will work on innovative projects that integrate machine learning models with large language models (LLMs). The role focuses on enhancing natural language understanding in low-resource languages and leveraging domain-specific data to boost LLM capabilities. The ideal candidate will possess hands-on experience in building and deploying ML solutions, a deep understanding of machine learning principles, and a collaborative mindset to work effectively within a research-driven environment.

Key Responsibilities:

Collaborate with machine learning researchers and software engineers to develop efficient AI training and deployment methods.

Design, develop, and maintain ML pipelines and APIs that interface with LLMs and other data sources.

Implement and optimize natural language processing tasks such as question answering and summarization.

Conduct experiments and performance evaluations of multilingual ML models.

Create technical documentation and adhere to compliance and data governance standards.

Support the rapid prototyping and evaluation of ML models with scalable, production-ready code.

Qualifications:

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field.

At least 3 years of experience in machine learning or a related field.

Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Solid understanding of data structures, algorithms, and model optimization techniques.

Experience with predictive analytics, statistical modelling, or data mining.

Familiarity with LLMs and their application in NLP tasks such as summarization and question answering.

Experience with automatic speech recognition (ASR) models is an added advantage.

Ability to work both independently and collaboratively in a fast-paced research environment.