AI/ML Engineer

6 hours ago

Lahore, Punjab, Pakistan Infotari Full time 1,200,000 - 2,400,000 per year

Urgent Hiring – AI/ML Engineer (1+ Year Experience)

Location: Gulberg, Lahore (Onsite)

Company: Infotari – Where Innovation Meets Impact

Employment Type: Full-time

Experience: 1–2 Years

Salary: Market Competitive

Joining: Immediate (within 1–2 days)

About Infotari

At Infotari, we are building the future where AI meets engineering excellence. We specialize in Web, SaaS, and AI/ML solutions, empowering global clients to innovate faster and smarter.

We are urgently hiring a highly motivated AI/ML Engineer who can join immediately and contribute to developing and deploying next-generation intelligent applications.

Position Overview

As an AI/ML Engineer, you will design, train, and deploy machine learning models, integrate them with NestJS backends and AngularJS frontends, and manage scalable deployments using Docker and Azure Cloud. You'll collaborate with fullstack and AI teams to bring real-world intelligence to modern applications.

Key Responsibilities

  • Develop and deploy machine learning & deep learning models for production use cases.
  • Integrate AI models with NestJS-based APIs and AngularJS frontends.
  • Build and optimize data pipelines using MySQL and PostgreSQL.
  • Containerize and deploy fullstack AI solutions using Docker on Azure Cloud.
  • Collaborate with data scientists and backend engineers for scalable architecture.
  • Monitor and retrain ML models for performance and accuracy.
  • Experiment with new AI tools, frameworks, and architectures.

Technical Skills Required

  • Languages: Python, TypeScript, JavaScript, SQL
  • Frameworks: NestJS, AngularJS, Flask/FastAPI
  • Machine Learning: Scikit-learn, TensorFlow, PyTorch, NumPy, Pandas
  • Databases: MySQL, PostgreSQL
  • Cloud & DevOps: Microsoft Azure, Docker, CI/CD Pipelines
  • AI/ML Concepts:
  • Model Training, Fine-Tuning, Hyperparameter Optimization
  • Feature Engineering & Data Preprocessing
  • Model Deployment (APIs, Containers)
  • LLMs, LangChain, RAG, Vector Databases (Weaviate/Pinecone) – Plus Point

Preferred Skills

  • Experience with MLOps pipelines and automated retraining
  • Familiarity with Azure AI Services, Hugging Face Transformers, or OpenAI APIs
  • Understanding of agentic AI, prompt engineering, or semantic search systems
  • Knowledge of Docker Compose, Azure Functions, and cloud orchestration

What We Offer

  • Chance to work on real AI-driven products from concept to deployment
  • Fast-track growth and mentorship under senior engineers
  • Modern tech stack and AI tools exposure
  • Dynamic startup culture built on creativity and innovation
  • Competitive salary and performance bonuses

Immediate Hiring

This is an urgent requirement — the selected candidate must be able to join within 1–2 days of selection.

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