Senior Data Engineer

Hiring: Senior Data Engineer – NLP / LLM / Agentic AI | Remote | Immediate Joiners Preferred

We are looking for a Senior Data Engineer with strong NLP, Machine Translation, and LLM expertise to support our Lead Data Scientist in a long-term contract, part-time engagement.

This role is ideal for experienced professionals who want flexible remote work while contributing to advanced AI, NLP, and Agentic AI solutions.

📌 Job Overview

Role: Senior Data Engineer – NLP / LLM / Machine Translation

Experience: 4+ Years

Engagement Type: Long-Term Contract

Work Mode: Remote (Pune-based candidates preferred)

Working Days: Monday – Friday

Working Hours: 4–5 Hours per Day

⏰ Availability Requirement:

Candidate must be available between 9:00 AM – 6:00 PM IST for collaboration calls (typically 2–3 calls per day) while delivering ~5 hours of support daily.

⚡ Immediate to 15 Days Joiners Preferred

💡 Note:

This is a shadow/support role, therefore dual employment / parallel job is acceptable if availability requirements are met.

🎯 Key Responsibilities

• Design and support scalable data pipelines for ingestion, transformation, and processing.
• Assist in productionizing AI / ML / NLP models and solutions.
• Develop and support Machine Translation pipelines and multilingual NLP workflows.
• Support integration of LLM-based systems and Agentic AI frameworks.
• Implement DataOps and DevOps best practices for AI infrastructure.
• Deploy and manage services using Docker and Kubernetes.
• Work extensively within the Azure ecosystem and Databricks.
• Optimize data architecture for scalability, reliability, and performance.
• Maintain data governance, versioning, and observability standards.
• Collaborate with the Lead Data Scientist and technical stakeholders.

🧠 Required Skills

• Strong programming experience in Python
• Strong PySpark and SQL
• Hands-on experience with Azure Data Platform and Databricks
• Experience building end-to-end data pipelines
• Experience with NLP frameworks (NLTK, SpaCy, OpenNLP, etc.)
• Experience working with Machine Translation systems
• Experience integrating LLM APIs and generative AI workflows
• Knowledge of Agentic AI frameworks and AI orchestration
• Experience with Docker & Kubernetes deployments
• Exposure to production AI/ML deployments
• Strong technical communication and client collaboration skills

⭐ Good to Have

• Experience working with Large Language Models (LLMs)
• LLM fine-tuning and production deployment
• Experience with multilingual NLP systems
• Exposure to AI orchestration frameworks
• Experience working in startup or product-driven environments