Machine Learning Engineer

ROLE OVERVIEW

As a Machine Learning (ML) Engineer you will help design train evaluate and improve language models and conversational AI systems used across Protos products and deployments.

You will work closely with Product CX Engineering and Languages teams to improve multilingual understanding intent recognition response quality retrieval systems and AI agent performance across voice and chat experiences.

This role is ideal for someone who enjoys hands-on experimentation model optimization and turning AI research into production-ready solutions.

KEY RESPONSIBILITIES

• Develop and improve ML pipelines for conversational AI systems
• Fine-tune and evaluate large language models (LLMs)
• Build multilingual ML capabilities for low-resource languages
• Work on intent classification entity extraction semantic search summarization and retrieval systems
• Improve AI response quality latency and accuracy
• Collaborate with CX and Product teams to analyze user conversations and improve AI behavior
• Design prompt engineering and RAG workflows
• Work with speech-to-text and text-to-speech integrations when needed
• Create evaluation metrics and benchmarking processes for AI performance
• Support deployment and monitoring of ML models in production environments
• Research new ML approaches and recommend improvements to Protos AI stack

QUALIFICATIONS

• Bachelors degree in Computer Science AI Data Science Linguistics or related field
• Strong understanding of NLP concepts and machine learning fundamentals
• Experience with Python and NLP frameworks such as:
• • Hugging Face
  • spaCy
  • NLTK
  • LangChain
  • LlamaIndex
• Experience working with LLMs and prompt engineering
• Familiarity with vector databases and semantic retrieval systems
• Experience handling structured and unstructured datasets
• Understanding of APIs integrations and cloud environments
• Strong analytical and problem-solving skills
• Ability to work independently in a remote and fast-paced environment
• Applicants must be based in Karachi Pakistan.

NICE TO HAVE

• Experience with multilingual or low-resource language models
• Experience in voice AI or conversational AI platforms
• Knowledge of speech technologies (ASR/TTS)
• Familiarity with RAG architecture and AI agent workflows
• Experience deploying models using Docker or Kubernetes
• Exposure to healthcare fintech or government AI systems