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)

BERT, LLMs, embeddings, and advanced NLP pipelines

Python, modern NLP frameworks, vector databases, embeddings

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