Senior NLP Architect / Lead ML Engineer (BERT Expert)

EazyML, founded by Bell Labs research veterans, specializes in Responsible AI. Recognized by Gartner, EazyML (www.EazyML.com) provides a Transparent ML platform that facilitates proactive compliance and sustainable automation. EazyML's solutions align AI/ML with business processes for quick benefits and alleviating risks. The company is associated with breakthrough startups like Amelia.

This is a full-time Remote role for a Senior NLP Architect / Lead ML Engineer (BERT Expert)

The person can work from home (anywhere in INDIA, job location is in India). We’re seeking a senior-level NLP and machine learning expert with deep hands-on experience in

BERT, LLMs, embeddings, and advanced NLP pipelines . This role involves designing and maintaining scalable AI/ML architectures, building sophisticated NLP-driven data pipelines, and leading enterprise initiatives on feature engineering, model development, and Gen-AI productivity enhancements.

The ideal candidate will be fluent in

Python, modern NLP frameworks, vector databases, embeddings , and best practices in MLOps for LLM-based systems. The role also requires the ability to leverage

GitHub Copilot and AI assistants

for faster pipeline creation, data-quality automation, and model development.

Key Responsibilities:

Design, develop, and optimize NLP/LLM pipelines using

BERT, embeddings, transformers, and related architectures Build scalable data workflows and AI-driven pipelines for text analytics, classification, search, and semantic understanding Lead feature engineering, text preprocessing, and vector-based search implementations Implement MLOps best practices for NLP/LLM model training, deployment, evaluation, and monitoring Use AI tools (e.g., GitHub Copilot) to streamline development of Python data pipelines, QA checks, and ML workflows Collaborate with engineering and product teams to architect robust and scalable LLM-based solutions

Qualifications:

Senior-level, hands-on expertise in: BERT, Transformer-based models, LLMs, embeddings NLP tasks such as NER, classification, topic modeling, summarization, semantic search Modern NLP/ML frameworks (Transformers, PyTorch, TensorFlow) Strong skills in: Python, SQL , and ETL/ELT workflows for NLP-driven pipelines Data modeling, data engineering fundamentals, and API-driven integrations Experience with vector databases (e.g., FAISS, Pinecone, Chroma) is a plus Solid understanding of AI/ML architecture design and data governance Excellent analytical, problem-solving, and communication skills Bachelor’s / Master’s in CS, IT, or related field 3+ years of experience

in NLP/ML engineering or related fields