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Full-time
On-site
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Posted 1 month, 2 weeks ago
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Job Description
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 (NLP), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). 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 at hr@rezunate.ai