Large Language Model (LLM) Engineer Offline

Job Overview:

We are seeking a dedicated Large Language Model (LLM) Engineer to join our AI team.

The ideal candidate will be responsible for developing, fine-tuning, and deploying

language models to solve diverse business challenges. If you have a passion for NLP

and AI and a deep understanding of transformer architectures, this position might be for

you.

 

Responsibilities:

Design, train, and optimize large language models tailored to specific applications or domains.

Use transfer learning techniques to adapt pre-trained models to specialized tasks or datasets.

Enhance model efficiency, reduce computational costs, and improve runtime performance.

Create benchmarks and validation protocols to assess model performance against defined metrics.

Collaborate with the engineering teams to deploy models into production environments, ensuring scalability and robustness.

Work closely with data scientists, researchers, and product teams to understand requirements and deliver AI-powered solutions.

Continuously monitor advancements in NLP, deep learning, and related fields to ensure the adoption of the latest techniques and tools.

Address and resolve issues related to model behavior, performance, and integration.

 

Skills and Qualifications:

Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.

Solid experience with deep learning frameworks such as TensorFlow, PyTorch, or others.

Strong understanding of Natural Language Processing and transformer architectures like BERT, GPT, T5, etc.

Proficiency in programming languages like Python.

Familiarity with libraries such as Hugging Face's Transformers is a plus.

Experience with high-performance computing, GPU optimization, and distributed training.

Innovative mindset with the ability to troubleshoot complex problems and provide effective solutions.

Strong written and verbal communication skills to collaborate with teams and present findings.

 

Preferred (but not mandatory):

Previous experience in deploying large language models in real-world applications.

Familiarity with cloud platforms like AWS for model deployment and scaling.

Knowledge of model compression techniques, quantization, and other optimization strategies.

 

Benefits:

Competitive salary and benefits package.

Opportunity to work on cutting-edge AI technologies and applications.

Collaborative and innovative work environment with continuous opportunities for learning and growth.

 

If you are a good fit for this position, please send your CV in English along with your salary requirements. Only shortlisted candidates will be contacted.

The job ad is no longer active

Look at the current jobs Data Science Odesa→

Loading...