Ai Ml Engineer

Qylis; Hyderabad; Hybrid; INR 3,000,000 - 4,200,000; Full time

Job summary

Qylis in Hyderabad, India is seeking an experienced AI/ML Engineer to design, develop, train, and deploy ML/DL models. The role involves building scalable AI solutions and integrating them with backend applications.

You will work with Python, ML frameworks, NLP, LLMs, and Generative AI, deploying on AWS/Azure/GCP. Collaboration across data engineers, software developers, and DevOps to monitor and improve model performance.

Qualifications

• 4+ years of AI/ML development required.
• Proficient in Python programming.
• Experience with Scikit-learn, TensorFlow or PyTorch.
• Solid understanding of ML and DL algorithms.
• Experience with NLP, Generative AI and LLMs.
• Familiarity with RAG, embeddings and vector databases.
• Knowledge of LangChain or LlamaIndex.
• Experience integrating AI models via REST APIs.
• Cloud platform experience (AWS/Azure/GCP).
• Understanding of Docker, Git, and CI/CD.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, develop, train, and deploy ML/DL models.
• Build scalable AI/ML solutions for real-world business problems.
• Develop and optimize models using Python and ML frameworks.
• Work with structured and unstructured data for model development.
• Develop applications using Generative AI, Large Language Models (LLMs), and NLP.
• Implement RAG-based applications using vector databases and embedding models.
• Fine-tune, evaluate, and optimize AI/ML models.
• Integrate AI/ML models with backend applications and APIs.
• Deploy models on cloud platforms such as AWS, Azure, or GCP.
• Collaborate with Data Engineers, Software Developers, DevOps, and business teams.
• Monitor model performance and continuously improve accuracy and efficiency.

Skills

4+ years of AI/ML development

Python

Scikit-learn/TensorFlow/PyTorch

ML/DL algorithms

NLP/Generative AI/LLMs

RAG/embeddings/vector databases

LangChain/LlamaIndex

REST APIs

AWS/Azure/GCP

Docker/Git/CI/CD

Analytical/problem-solving

Tools

LangChain

LlamaIndex

Docker

Git

CI/CD

REST APIs

AWS

Azure

GCP

Vector databases

NLP frameworks

Job description

Job Summary

We are looking for an experienced AI/ML Engineer with 4+ years of experience in designing, developing, deploying, and maintaining Machine Learning and Artificial Intelligence solutions. The candidate should have strong experience in Python, Machine Learning, Deep Learning, Generative AI, LLMs, and production-level AI applications.

Key Responsibilities

• Design, develop, train, and deploy Machine Learning and Deep Learning models.
• Build scalable AI/ML solutions for real-world business problems.
• Develop and optimize models using Python and relevant ML frameworks.
• Work with structured and unstructured data for model development.
• Develop applications using Generative AI, Large Language Models (LLMs), and NLP.
• Implement RAG-based applications using vector databases and embedding models.
• Fine-tune, evaluate, and optimize AI/ML models.
• Integrate AI/ML models with backend applications and APIs.
• Deploy models on cloud platforms such as AWS, Azure, or GCP.
• Collaborate with Data Engineers, Software Developers, DevOps, and business teams.
• Monitor model performance and continuously improve accuracy and efficiency.

Required Skills

• 4+ years of experience in AI/ML development.
• Strong programming experience in Python.
• Experience with Machine Learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Strong understanding of Machine Learning and Deep Learning algorithms.
• Experience with NLP, Generative AI, and Large Language Models (LLMs).
• Experience with RAG, embeddings, vector databases, and prompt engineering.
• Experience with LangChain, LlamaIndex, or similar AI frameworks.
• Knowledge of REST APIs and AI model integration.
• Experience with AWS, Azure, or GCP.
• Understanding of Docker, Git, and CI/CD pipelines.
• Strong analytical and problem-solving skills.