13 days ago

Senior AI/ML Engineer

Hazen Technologies Inc

On Site
Full Time
PKR 0
Lahore, Punjab, Pakistan
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Job Overview

Job TitleSenior AI/ML Engineer
Job TypeFull Time
Offered SalaryPKR 0
LocationLahore, Punjab, Pakistan
Map of Lahore, Punjab, Pakistan

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Job Description

Senior AI/ML Engineer

Company Overview:

Hazen Technologies is a leading technology and BPO company with offices in the USA and Pakistan. We are a premier driver of innovation, offering transformative IT solutions, managed services (back-office support), and creative & digital marketing services tailored for a range of industries. Our core focus is on providing seamless solutions that add real value for our customers.

Job Location: Gulberg Lahore Pakistan.

Job Conditions: Onsite, full time, 02:00 pm to 11:00 pm PKT

Report to: Chief Software Architect

About the Role:

We are seeking a passionate and skilled Senior AI/ML Engineer to join our growing technology team. You will be responsible for designing, developing, and implementing cutting-edge AI and machine learning solutions. The ideal candidate will have hands-on experience building AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and modern machine learning techniques.

Key Responsibilities:

  • Design and implement AI-powered applications using Large Language Models (LLMs).
  • Develop and maintain Retrieval-Augmented Generation (RAG) pipelines for document search, knowledge retrieval, and conversational AI.
  • Work with LLM APIs and integrate them into production-grade applications.
  • Build and manage embedding pipelines and vector search solutions.
  • Apply machine learning principles for model evaluation, optimization, and performance improvement.
  • Collaborate with backend and frontend teams to integrate AI features into products.
  • Monitor and improve AI system performance, scalability, and reliability.
  • Stay updated with the latest advancements in Generative AI, LLM frameworks, and machine learning technologies.

Key Requirements:

  • BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Strong programming skills in Python.
  • Hands-on experience working with LLMs and their APIs.
  • Experience building or working with RAG-based architectures.
  • Understanding of machine learning fundamentals and model evaluation techniques.
  • Experience with embeddings, vector databases, and semantic search.
  • Familiarity with frameworks such as LangChain, LlamaIndex, or similar LLM orchestration tools.

Preferred / Nice To Have:

  • Experience with Azure AI services and Azure OpenAI.
  • Familiarity with vector databases such as Qdrant, Pinecone, or Weaviate.
  • Experience deploying ML/AI solutions in cloud environments (Azure preferred).
  • Knowledge of MLOps, model monitoring, and scalable AI system design.
  • Experience working with REST APIs and backend integration.

At Hazen Technologies, we value diversity and inclusivity in the workplace. We are committed to providing equal employment opportunities to all individuals, regardless of race, gender, age, sexual orientation, religion, or disability.

Join our team and be a part of shaping the future of AI and machine learning at Hazen Technologies. Apply now! and make sure to fill out the form.

Key skills/competency:

  • AI/ML Engineering
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Python Programming
  • Machine Learning
  • Embeddings
  • Vector Databases
  • Semantic Search
  • LangChain/LlamaIndex
  • Generative AI

Tags:

AI Engineer
Machine Learning Engineer
LLM
RAG
Python
Generative AI
Data Science
Vector Databases
Semantic Search
Cloud AI

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How to Get Hired at Hazen Technologies Inc

  • Tailor your resume: Highlight Python, LLM, and RAG experience for the Senior AI/ML Engineer role.
  • Showcase AI/ML projects: Detail your experience with embeddings, vector databases, and LLM frameworks like LangChain.
  • Prepare for technical questions: Brush up on machine learning fundamentals, model evaluation, and Python coding.
  • Understand RAG architecture: Be ready to discuss your experience building and implementing RAG systems.
  • Demonstrate cloud skills: If applicable, highlight any Azure AI or cloud deployment experience.

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