AI/ML Engineer

5 days ago

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

Company Overview

We are looking for a talented AI/ML Engineer with 3–4 years of experience to design, build, and deploy scalable machine learning models. The ideal candidate will have strong expertise in ML algorithms, data preprocessing, and production deployment, with the ability to work closely with cross-functional teams to deliver impactful AI-driven solutions.

Job Description:

  • LLM Implementation : Integrate and fine-tune LLMs via APIs (e.g., OpenAI, Anthropic) and deploy lightweight inference engines.
  • AI Workflow Development : Build and optimize pipelines using LangChain , LlamaIndex , or crewAI for agent-based systems.
  • Prompt Engineering : Collaborate with domain experts to design and test advanced prompting strategies.
  • Vector Database Integration : Deploy and manage embeddings pipelines with Pinecone , Weaviate , or FAISS for RAG systems.
  • MLOps Execution : Automate model deployment, monitoring, and versioning using tools like Docker, Kubernetes, and MLflow.
  • No-Code Prototyping : Use platforms like n8n to rapidly test and iterate AI solutions.

Required Skills & Qualifications:

  • 3–4 years of hands-on experience in AI/ML or related roles.
  • Proficiency in:
    LLM APIs (OpenAI, Cohere, Google Gemini) and embedding models (e.g., Hugging Face, OpenAI Ada).
  • AI orchestration frameworks : LangChain, LlamaIndex, or crewAI.
  • Vector databases : Pinecone, Weaviate, or FAISS.
  • Python , REST APIs , and CI/CD pipelines for ML.
  • Experience with prompt engineering , RAG, and basic MLOps practices.
  • Familiarity with no-code tools like n8n or Make (formerly Integromat) .
  • BS in CS, AI, or related field.

Preferred :

  • Basic understanding of AI ethics and bias mitigation.
  • Contributions to open-source AI projects or GitHub repositories.
  • Experience with streaming data pipelines (Apache Kafka, Spark).

Perks:

  • Medical Package
  • Bonuses
  • Biannual increments
  • Paid Leaves
  • Leave encashment
  • Annual Lunch/Dinner, Team Lunch/Dinner, Subsidized meal
  • Travel allowance for females
  • Growth opportunities.

Job Type:

On-site

Location:

Lahore

Salary:

Market Competitive

Timinigs

09 am-06 pm

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