AI/ML Engineer
5 days ago
Position Name: Mid-Senior Level AI/ML Engineer
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.
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:
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
ONSITE OPPORTUNITY
LOCATION LAHORE, GULBERG 2.
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