ML Engineer

Proto Research Inc.; Karachi Division; On-site; PKR 1,800,000 - 3,000,000; Full time

Job summary

Proto Research Inc. seeks a Machine Learning Engineer to design, train, and improve language models and conversational AI across its products.

You will collaborate with Product, CX, Engineering, and Languages teams to advance multilingual understanding, intent recognition, and retrieval systems, with a focus on production-ready solutions and scalable pipelines. Strong Python expertise and NLP toolkit experience are essential in a fast-paced environment.

Qualifications

• Bachelor's degree or higher in CS/AI/Data Science/Linguistics or related field.

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 Proto's AI stack.

Skills

NLP concepts

Python

LLMs

Prompt engineering

Vector databases

Semantic retrieval

APIs & cloud

Analytical skills

Remote work ability

Education

Bachelor's degree in Computer Science, AI, Data Science, Linguistics, or related field

Tools

Hugging Face

spaCy

NLTK

LangChain

LlamaIndex

Job description

ROLE OVERVIEW

As aMachineLearning (ML)Engineer, you will help design, train, evaluate, and improve language models and conversational AI systems used across Proto's 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 Proto's AI stack

QUALIFICATIONS

• Bachelor's degree in Computer Science, AI, Data Science, Linguistics, or related field
• Strong understanding of NLPconcepts 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