Python Developer (SLM:Small Language Model Specialist)

Location: Islamabad, PK

Work Model: On-Site

Summary

Key Responsibilities:

• Design and develop robust datasets (including JSON) for training and fine-tuning SLMs.
• Perform data preprocessing and cleaning to enhance model accuracy.
• Implement Named Entity Recognition (NER) using SpaCy and other NLP techniques.
• Generate and manage synthetic data for model training and validation.
• Integrate and utilize OpenAI APIs for model development and deployment.
• Strong knowledge of Azure OpenAI services and their integration into applications.
• Fine-tune SLMs using SKLearn, TensorFlow, and PEFT frameworks.
• Implement and optimize LoRA (Low-Rank Adaptation) for efficient SLM fine-tuning.
• Apply machine learning classification techniques for various NLP tasks.
• Format and deploy SLM models in TFLite for lightweight and efficient inference.

Requirements:

• 2-3 years of experience in Python development with a focus on NLP and ML.
• Proficiency in dataset creation and data preprocessing techniques.
• Hands-on experience with Named Entity Recognition (NER) using SpaCy.
• Experience in synthetic data generation for model enhancement.
• Strong knowledge of OpenAI APIs and their integration into applications.
• Expertise in SLM fine-tuning using SKLearn, TensorFlow, or PEFT.
• Practical knowledge of LoRA for model optimization.
• Understanding of machine learning classification techniques.
• Experience with SLM formatting, particularly in TFLite.
• Familiarity with cloud platforms and deployment strategies (AWS, GCP, or Azure is a plus).

What We Have For You:
Great compensation package, medical benefit for you and your family, free lunch, Bi-annual performance-tied increments & performance recognition awards and a great lean and agile work culture!
Convo endorses a culture of diversity in all aspects and aims to build a diverse team of amazing individuals!