AI/ML engineer

Inspire Infosol Pvt Ltd. India; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Inspire Infosol Pvt Ltd. India in Hyderabad is seeking a hands-on ML engineer to design, develop, deploy, and optimize generative AI solutions that solve business problems.

You will build and evaluate models, create data pipelines, fine-tune foundation models, and implement MLOps practices, working with NLP, LLMs, CV, and analytics.Join a collaborative team to deliver measurable impact with scalable deployments and ongoing experimentation.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, Statistics, or related field.

Responsibilities

• Design, develop, deploy, and optimize ML and generative AI solutions.
• Build, train, evaluate, and deploy ML models.
• Develop data pipelines and feature engineering workflows.
• Work with NLP, LLMs, computer vision, or predictive analytics solutions.
• Fine-tune foundation models and implement RAG architectures.
• Collaborate with product, engineering, and business teams.
• Monitor model performance and implement MLOps best practices.
• Conduct experimentation and model benchmarking.

Skills

Python

ML fundamentals

Deep learning

PyTorch/TensorFlow

SQL

Cloud platforms

MLOps

LLMs/RAG

Git/CI-CD

Education

Bachelor's or Master's in CS/AI

Tools

Docker

Kubernetes

Job description

Role overview

Design, develop, deploy, and optimize machine learning and generative AI solutions that solve business problems and create measurable impact.

Key responsibilities

• Build, train, evaluate, and deploy ML models.
• Develop data pipelines and feature engineering workflows.
• Work with NLP, LLMs, computer vision, or predictive analytics solutions.
• Fine-tune foundation models and implement RAG architectures.
• Collaborate with product, engineering, and business teams.
• Monitor model performance and implement MLOps best practices.
• Conduct experimentation and model benchmarking.

Required Skills & Qualifications

• Python (NumPy, Pandas, Scikit-learn).
• Machine learning and deep learning fundamentals.
• PyTorch and/or TensorFlow.
• SQL and data processing.
• Cloud platforms (Azure, AWS, or GCP).
• Git, CI/CD, and MLOps concepts.
• LLMs, prompt engineering, vector databases, and RAG.

Education

Bachelor's or master's degree in Computer Science, AI, Data Science, Statistics, or related field.

Preferred Skills

• Experience with Azure AI, OpenAI, LangChain, Semantic Kernel, or similar frameworks.
• Exposure to Docker and Kubernetes.
• Knowledge of model deployment and monitoring.

Success metrics

High-quality model performance, scalable deployments, strong stakeholder collaboration, and continuous improvement of AI solutions.