Senior Machine Learning Engineer

Robusta Studio; Riyadh; On-site; SAR 80,000 - 120,000; Full time

Job summary

An innovative firm is on the lookout for a Senior Machine Learning Engineer to spearhead the development of cutting-edge generative AI applications. This role involves deploying advanced machine learning models, fine-tuning pre-trained models like GPT and BERT, and collaborating with data engineers to create efficient data pipelines. The ideal candidate will have a strong background in NLP, deep learning, and conversational AI, along with experience in speech processing tools. Join a dynamic team that values creativity and problem-solving, where your contributions will drive the future of AI technology.

Qualifications

• Strong experience with machine learning frameworks and NLP.
• Deep knowledge of deep learning and large language models.

Responsibilities

• Develop and deploy advanced machine learning models for AI applications.
• Collaborate with data engineers to design efficient data pipelines.

Skills

TensorFlow

PyTorch

Hugging Face

NLP

Conversational AI

Deep Learning

Speech Processing

Problem-Solving

Tools

Whisper

Google Speech-to-Text

Rasa

Dialogflow

Job description

Octopus by RTG is on a mission to connect top organizations around the globe with exceptional talents. We are currently seeking a Senior Machine Learning Engineer.

Responsibilities:

1. Develop and deploy advanced machine learning models for generative AI applications, including Retrieval-Augmented Generation (RAG), voice assistants, and agents.
2. Fine-tune pre-trained models (e.g., GPT, BERT) for specific use cases and integrate them into scalable applications.
3. Collaborate with data engineers to design efficient data pipelines and preprocessing workflows.
4. Research and implement innovative techniques to enhance model performance, interpretability, and scalability.
5. Analyze model outputs to identify and resolve biases or performance issues.

Desired Candidate Profile:

1. Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
2. Solid background in NLP and conversational AI.
3. Deep knowledge of deep learning and large language models.
4. Experience with speech processing tools (e.g., Whisper, Google Speech-to-Text).
5. Knowledge of conversational AI frameworks (e.g., Rasa, Dialogflow).
6. Strong problem-solving skills and ability to collaborate effectively in cross-functional teams.

Company Industry:

• IT - Software Services

Department / Functional Area:

Not specified

Keywords:

• Senior Machine Learning Engineer

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