Actively Hiring
EA
AI/ML Engineer
EAGLE NET Group
Hyderābād
Skills:
Machine Learning
Python
TensorFlow
PyTorch
Job Description
Job Title: AI/ML Engineer
Company: EAGLE NET Group
Job Category: Machine Learning
Roles & Responsibilities:
Job Description: AI/ML Engineer
About the Role
The ideal candidate will have practical experience building Retrieval\-Augmented Generation (RAG) pipelines, developing Model Context Protocol (MCP) servers and tools, implementing data engineering workflows, and deploying scalable AI/ML solutions in production environments.
You will work on developing intelligent applications, integrating LLMs with enterprise APIs and data sources, and building reliable, scalable AI\-powered systems.
Key Responsibilities
* Design, develop, and maintain RAG pipelines, including document chunking, embeddings, vector search, and re\-ranking.
* Build MCP (Model Context Protocol) servers and tools to connect internal APIs, services, and data sources with LLM\-powered agents.
* Design, develop, and schedule DAG\-based workflows using Databricks Workflows and/or Apache Airflow.
* Build and maintain scalable ETL and machine learning pipelines using PySpark, Delta Lake, and MLflow.
* Develop production\-ready Python APIs and backend services using FastAPI or Django.
* Write unit tests, integration tests, and maintain high\-quality, reusable, and maintainable code.
* Implement LLM evaluation frameworks, guardrails, and monitoring for model performance, cost, and latency.
* Collaborate with cross\-functional teams to integrate AI/ML solutions into existing business applications.
* Troubleshoot, optimize, and continuously improve the performance, scalability, and reliability of AI/ML applications.
1\. Programming \& Backend Development
8\. Development \& Deployment Tools
* Experience building AI agents and agentic workflows using LangGraph.
* Familiarity with RAG evaluation frameworks such as RAGAS and LangSmith.
* Knowledge of recommendation systems.
* Experience implementing CI/CD pipelines using GitHub Actions.
* Understanding of LLM observability, prompt optimization, and production monitoring.
Work Location: Hybrid remote in Hyderabad, Telangana
Work Location: Hyderābād, India
Availability: Full time
Requirements
Required Technical Skills
* Strong proficiency in Python with at least 2 years of production\-level development experience.
* Experience building REST APIs using FastAPI or Django.
* Knowledge of software engineering best practices, testing, and debugging.
* Strong understanding of AI/ML fundamentals.
* Hands\-on experience with scikit\-learn, PyTorch, or TensorFlow.
* Practical knowledge of Large Language Models (LLMs) and Generative AI applications.
* Understanding and hands\-on experience with MCP.
* Ability to build MCP servers and tools for integrating APIs and external services with LLM agents.
* Experience designing and managing DAG\-based workflows.
* Hands\-on experience with Databricks Workflows or Apache Airflow.
* Strong SQL knowledge and experience with PostgreSQL.
* Familiarity with vector databases such as pgvector, FAISS, Qdrant, or similar technologies.
* Experience with AWS cloud services.
* Proficiency with Git and version control.
* Experience with Docker and containerized applications.
* Understanding of REST API integration and deployment practices.
Educational Qualifications
\Working Hours: Eastern Time Zone (NYC). Must have 100 mpbs internet connection.\*
Benefits:
Key Skills: Machine Learning, Python, TensorFlow, PyTorch
Salary: INR 500000 - 760000 per yearly