Python Engineer (Remote)

Hired; Rimini; Remoto; EUR 105.000 - 158.000; Tempo pieno

Descrizione del lavoro

Hired is seeking a Senior Python Developer to join a client focused on advancing large language models. You will design and optimize Python code for training and evaluating AI models, collaborating with researchers and annotators.

The role emphasizes supervised fine-tuning, RLHF, and robust evaluation methods. This is a remote position allowing work from anywhere, with opportunities to impact cutting-edge AI research at a global scale.

Competenze

• Proficiency in Python and AI/ML libraries is required.
• Strong understanding of evaluation strategies and benchmarking.
• Experience with dataset creation for model training and evaluation.

Mansioni

• Design, develop, and maintain high-quality Python code for AI models.
• Benchmark model performance and analyze results for improvements.
• Evaluate and rank model responses to queries across domains.
• Lead supervised fine-tuning and create high-quality datasets.

Conoscenze

Python programming

AI/ML concepts

Model evaluation & benchmarking

Strumenti

PyTorch

TensorFlow

Descrizione del lavoro

• Role: Python Engineer (Remote)
• Location: Remote (Work from Anywhere)

Role Overview:

We are hiring for one of our clients, seeking a Senior Python Developer to assist a foundational LLM company in enhancing their large language models. The goal is to provide high-quality proprietary data for fine-tuning and benchmarking model performance.

Key Responsibilities:

• Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models.
• Conduct evaluations to benchmark model performance and analyze results for continuous improvement.
• Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.
• Lead efforts in supervised fine-tuning, including creating and maintaining high-quality, task-specific datasets.
• Collaborate with researchers and annotators to execute reinforcement learning with human feedback and refine reward models.

Required Skills & Qualifications:

• Proficiency in Python and related frameworks/libraries for AI/ML tasks.
• Experience with supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF).
• Strong understanding of evaluation strategies and benchmarking processes for AI models.
• Ability to design and implement Python code for data generation and model optimization.
• Familiarity with AI model response evaluation and ranking methodologies.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in artificial intelligence, contributing to the advancement of large language models. Candidates will collaborate with top researchers and engineers in the field.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.