Senior AI/ML Engineer

NationsBenefits; Hyderabad; On-site; INR 2,800,000 - 4,500,000; Full time

Job summary

NationsBenefits is seeking a Senior AI/ML Engineer in Hyderabad, India, to design, deploy, and monitor enterprise-scale AI/ML systems. The role demands 10+ years of hands-on experience across the full AI/ML lifecycle, with strong skills in Python, ML frameworks, MLOps, and scalable architectures.

The candidate will lead ML pipeline development, vector search, and RAG-based apps, while ensuring observability, governance, and CI/CD automation.

Qualifications

• 10+ years of experience in AI/ML engineering.
• End-to-end ML lifecycle expertise across development, deployment, monitoring, and retraining.
• Proficiency with Python, SQL, APIs, and major ML frameworks.
• Experience with vector databases, RAG pipelines, and semantic search.
• Strong MLOps capabilities including MLflow, DVC, Docker, Kubernetes, and CI/CD.
• Excellent collaboration with stakeholders and cross-functional teams.
• Experience with Azure Cloud Stack is a plus.

Responsibilities

• Lead development and deployment of enterprise-scale AI/ML and Generative AI solutions.
• Build and optimize end-to-end ML pipelines including experimentation, deployment, monitoring, and retraining.
• Develop scalable inference architectures, vector search systems, and RAG-based applications.
• Implement observability, monitoring, governance, and production support mechanisms for AI systems.
• Drive model lifecycle management including versioning, experimentation tracking, and CI/CD automation.
• Mentor engineering teams and establish AI/ML engineering best practices.
• Collaborate with business stakeholders to identify and implement AI-driven solutions.
• Optimize AI systems for scalability, latency, reliability, and cost efficiency.

Skills

AI/ML lifecycle

Python

Generative AI

MLOps

Cloud computing

Stakeholder management

Distributed systems

Tools

TensorFlow

PyTorch

Scikit-learn

LangChain

MLflow

DVC

Docker

Kubernetes

CI/CD pipelines

Job description

Role Summary

We are looking for a highly experienced Senior AI/ML Engineer with strong hands-on expertise in designing, developing, deploying, and monitoring enterprise-scale AI/ML systems. The candidate must possess end-to-end experience across the complete AI/ML lifecycle, including model development, deployment, observability, governance, optimization, and production support.

Job Title: Senior AI/ML Engineer

Experience: 10+ Years

Location: Hyderabad, India

Employment Type: Full-time

Key Responsibilities

• Lead development and deployment of enterprise-scale AI/ML and Generative AI solutions.
• Build and optimize end-to-end ML pipelines including experimentation, deployment, monitoring, and retraining.
• Develop scalable inference architectures, vector search systems, and RAG-based applications.
• Implement observability, monitoring, governance, and production support mechanisms for AI systems.
• Drive model lifecycle management including versioning, experimentation tracking, and CI/CD automation.
• Mentor engineering teams and establish AI/ML engineering best practices.
• Collaborate with business stakeholders to identify and implement AI-driven solutions.
• Optimize AI systems for scalability, latency, reliability, and cost efficiency.
• Lead development and deployment of enterprise-scale AI/ML and Generative AI solutions.
• Build and optimize end-to-end ML pipelines including experimentation, deployment, monitoring, and retraining.
• Develop scalable inference architectures, vector search systems, and RAG-based applications.
• Implement observability, monitoring, governance, and production support mechanisms for AI systems.
• Drive model lifecycle management including versioning, experimentation tracking, and CI/CD automation.
• Mentor engineering teams and establish AI/ML engineering best practices.
• Collaborate with business stakeholders to identify and implement AI-driven solutions.
• Optimize AI systems for scalability, latency, reliability, and cost efficiency.

Required Skills & Qualifications

• Strong hands-on experience in Artificial Intelligence, Machine Learning, and Generative AI systems.
• Extensive experience in end-to-end ML lifecycle including data ingestion, feature engineering, model development, validation, deployment, monitoring, and retraining.
• Hands-on expertise with Python, SQL, APIs, and ML frameworks such as Scikit-learn, TensorFlow, PyTorch, Hugging Face, and LangChain.
• Experience with Vector Databases, RAG pipelines, semantic search, embeddings, and LLM orchestration.
• Strong expertise in MLOps tools including MLflow, DVC, Docker, Kubernetes, CI/CD pipelines, and model versioning.
• Hands-on experience with observability, logging, tracing, monitoring, drift detection, and model performance tracking.
• Experience building scalable cloud-native inference and AI deployment pipelines.
• Strong understanding of distributed systems, data engineering, and scalable AI infrastructure.
• Excellent stakeholder management and cross-functional collaboration skills.
• Experience with Azure Cloud Stack is a plus