AI/ML Engineer

1 week ago

Lahore, Punjab, Pakistan Visnext Software Solutions Full time $90,000 - $120,000 per year

Position Name:
Mid-Senior Level AI/ML Engineer

Experienced Required:
2-3 years

Core Technical Skills:

  • Python (must-have)
  • Deep Learning Frameworks: PyTorch or TensorFlow

GenAI Tooling:

  • Hugging Face Transformers
  • LangChain / LlamaIndex
  • OpenAI / Azure OpenAI APIs
  • Prompt Engineering + LLM fine-tuning / instruction-tuning
  • Data Preprocessing + NLP pipelines

Deployment:

  • Streamlit / FastAPI / Docker
  • Basic understanding of MLOps and model serving
  • Version control, JIRA, GitHub, CI/CD (for smooth delivery)

Soft Skills:

  • Self-starter with ownership mentality
  • Able to work on multiple projects
  • Communicates well with non-technical stakeholders

Responsibilities:

  • Hands-on, independent contributor who can take up AI/GenAI tasks with minimal supervision.
  • Should be able to own full AI pipelines, collaborate with clients, and jump between research and production code.
  • Design, develop, and deploy AI/ML models for various client use cases.
  • Build GenAI applications using tools like LangChain, OpenAI, and Hugging Face.
  • Fine-tune large language models (LLMs) for specific tasks and domains.
  • Write clean, modular Python code for experimentation and production.
  • Collaborate with cross-functional teams (backend/frontend/PMs) to deliver end-to-end solutions.
  • Assist in scoping and planning new AI projects, occasionally interfacing with clients.
  • Contribute to internal R&D and reusable AI components.

Must-Have Skills:

  • 2–3 years of hands-on AI/ML engineering experience
  • Strong Python skills and experience with deep learning frameworks (PyTorch or TensorFlow)
  • Experience with GenAI tools (LangChain, Hugging Face Transformers, OpenAI APIs)
  • Good understanding of NLP pipelines, embeddings, vector stores, and model serving
  • Comfort with version control (Git), containerization (Docker), and modern dev workflows

Nice to Have:

  • Experience deploying apps using FastAPI or Streamlit
  • Familiarity with MLOps pipelines and model lifecycle management
  • Previous consulting/client-facing experience

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