Junior Machine Learning Engineer

3 days ago

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

Location: Lahore (On-site)

Job Type: Full-time

Experience: 0 -1 year

Timings : EST time zone

About the Role:

We are looking for a Junior Machine Learning Engineer with expertise in Natural Language Processing, Large Language Models, Retrieval-Augmented Generation, and Computer Vision. The ideal candidate will work on developing, deploying, and optimizing ML applications while integrating APIs and ensuring scalable deployments in cloud environments.

Key Responsibilities:

  • Develop and fine-tune NLP models using transformers, embeddings, and deep learning techniques.
  • Implement and optimize LLMs (e.g., GPT, LLaMA, Falcon, Mistral) for various applications.
  • Design and build RAG pipelines with vector databases (Milvus, Pinecone, Qdrant, ChromaDB).
  • Develop and deploy APIs using FastAPI and Django for ML model serving.
  • Optimize model inference and latency for real-time applications.
  • Utilize Docker, and CI/CD pipelines for scalable ML deployments.
  • Collaborate with cross-functional teams for end-to-end ML system integration.
  • Monitor and enhance model performance, scalability, and efficiency.

Required Skills:

  • Programming: Python (TensorFlow, PyTorch, Hugging Face, LangChain).
  • Experience with LangChain, LlamaIndex, OpenAI API.
  • NLP & LLMs: Experience with transformer models, fine-tuning, and embeddings.
  • APIs & Web Frameworks: Proficiency in FastAPI, Django, Flask.
  • Deployment & Cloud: AWS services (Lambda, EC2, S3, IAM), Docker
  • Databases & Vector Search: PostgreSQL, MongoDB, FAISS, Pinecone, ChromaDB.
  • Version Control & CI/CD: Git, GitHub Actions, Docker, Jenkins.

Nice-to-Have Skills:

  • Familiarity with MLOps practices (MLflow, Weights & Biases).
  • Knowledge of data pipelines (Airflow, Kafka, Redis, Celery).
  • Understanding of LLM safety, prompt engineering, and fine-tuning techniques.

Why Join Us?

  • Work on cutting-edge NLP and AI applications with real-world impact.
  • Collaborative, fast-paced learning environment with mentorship.

You can also send your resume or portfolio

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