AI Engineer

Lyric - Clarity in motion.; Hyderabad; Hybrid; INR 12,00,000 - 16,00,000; Full time

Job summary

A leading AI solutions provider in Hyderabad is seeking an AI Engineer to build and optimize machine learning models in the healthcare sector. The role requires at least three years of experience with modern Gen AI technologies and a strong background in software engineering, specifically in Python and cloud-native technologies. This is a full-time hybrid role where you'll collaborate with cross-functional teams to enhance medical data analytics.

Qualifications

• At least three years of industry experience with recent Gen AI technologies.
• Experience with automated testing.
• Strong understanding of clinical coding standards is an advantage.

Responsibilities

• Design and optimize data processing systems.
• Implement retrieval-augmented generation systems.
• Build production-ready machine learning models.

Skills

Machine learning

Python

Cloud-native ML technologies

Containerization

CI/CD pipelines

ML frameworks

Education

BS in Computer Science or related field

Tools

Kubernetes

Kubeflow

Job description

Join to apply for the AI Engineer role at Lyric - Clarity in motion.

Join to apply for the AI Engineer role at Lyric - Clarity in motion.

The AI Engineer is an ML engineer who is responsible for building and optimizing machine learning models, retrieval-augmented generation (RAG) systems, and verifiable ML systems that transform how we search and analyze complex medical and insurance data. This role requires a deep understanding of machine learning, LLM technologies, data science, and software engineering. This is an ML-engineering role and not a data science role, which means you should be comfortable building production-ready systems. This is not a research role.

This is a Hybrid role in the HYD office, 3 days a week.

Job Responsibilities:

• Data engineering: Design and optimize systems capable of processing large volumes of data in both batch and real-time.
• Design, implement, and optimize retrieval-augmented generation (RAG) systems that leverage the latest LLM technologies to deliver highly relevant search results at scale.
• Develop and refine embedding models, vector databases, and retrieval mechanisms that maximize search relevance while minimizing latency and operational costs.
• Create robust evaluation frameworks to measure quality, continuously improve our LLM-based solution based on user feedback and performance metrics.
• Build and optimize machine learning models and verifiable ML systems that transform how we search and analyze complex medical and insurance data.
• Build and optimize production-ready systems that are scalable and can handle large amounts of data.
• Build and optimize agentic systems that can reason and make decisions.
• Develop machine learning models in healthcare and insurance settings with the highest standards for safety and quality.
• Stay on top of AI and ML security and governance requirements.

Basic Requirements:

• BS in Computer Science (concentration on machine learning/AI), Engineering, Statistics, or a related field
• At least three (3) years of industry experience and specifically with some of the recent Gen AI technologies.
• Experience with containerization, Kubernetes, and cloud-native ML technologies such as Kubeflow.
• Experience with CI/CD pipelines and automated testing.
• High level of proficiency with Python and several ML frameworks.

Preferred Requirements:

• Experience with medical coding and clinical policy analysis. Exposure to USA healthcare insurance will be an advantage.
• Strong understanding of clinical coding standards (e.g., ICD-10, CPT, HCPCS) is an advantage.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Industries

  IT Services and IT Consulting

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