Conversational AI ML Engineer (Multilingual & Retrieval)

Proto Research Inc.

Karachi Division

On-site

PKR 1,800,000 - 3,000,000

Full time

14 days+
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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

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.

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