NLP Engineer - Remote

Overview

We are seeking an Engineer with end-to-end expertise in designing, developing, deploying, and maintaining machine learning solutions. This role requires a hands-on engineer who can work across data engineering, model development, MLOps, and API integration to build scalable AI-driven applications.

In Short

• Data Engineering & Processing: Design and implement scalable ETL/ELT pipelines for structured and unstructured data.
• Clean, normalize, and preprocess data for ML models.
• Work with Graph Databases (Neo4j, AWS Neptune) and Vector Databases (Weaviate, Pinecone, FAISS).
• Model Development & Fine-Tuning: Train and fine-tune LLMs and deep learning models using Hugging Face, PyTorch, TensorFlow.
• Implement retrieval-augmented generation (RAG) for knowledge-based AI.
• Optimize model performance for efficiency and scalability.
• MLOps & Model Deployment: Develop CI/CD pipelines for ML model training and deployment using MLflow, Kubeflow, SageMaker.
• Deploy models as APIs using FastAPI, Flask, or gRPC.
• Automate model monitoring, drift detection, and retraining.
• Application & API Development: Build APIs and microservices for AI applications.

Requirements

• Machine Learning & AI: Strong background in ML, deep learning, LLMs, NLP.
• Experience with Transformer models (BERT, GPT, T5, LLaMA, etc.).
• Programming & Development: Proficiency in Python (PyTorch, TensorFlow, Scikit-Learn).
• Strong experience in APIs and microservices (FastAPI, Flask, gRPC).
• Data & Infrastructure: Experience with Graph Databases (Neo4j, AWS Neptune).
• Knowledge of Vector Databases (Weaviate, Pinecone, FAISS).
• Familiarity with Snowflake, PostgreSQL, NoSQL databases.
• MLOps & Cloud: Experience with MLflow, Kubeflow, SageMaker for model lifecycle management.
• Proficiency in Docker, Kubernetes, Terraform.
• Strong understanding of AWS/GCP/Azure services.

Benefits

• Flexible working hours.
• Opportunity for remote work.
• Professional development opportunities.
• Collaborative team environment.
• Competitive salary and benefits package.