AI/ML engineer

Inspire Infosol Pvt Ltd.; Hyderabad; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Inspire Infosol Pvt Ltd. in Hyderabad is seeking a ML/AI Engineer to design, develop, deploy and optimize machine learning and generative AI solutions that solve business problems.

You will build data pipelines, work with NLP/LLMs, fine-tune foundation models, implement MLOps, and collaborate with product and engineering teams to deliver scalable AI systems.

Qualifications

• Bachelor's or master's degree in Computer Science, AI, Data Science, Statistics, or related field.
• Experience with ML/DL models, NLP, and AI frameworks is expected.
• Knowledge of cloud platforms and MLOps concepts is advantageous.

Responsibilities

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

Skills

Machine learning fundamentals

Deep learning fundamentals

PyTorch

TensorFlow

SQL

CI/CD

MLOps concepts

LLMs

Prompt engineering

RAG

Education

Bachelor's/Master's in CS/AI/Data Science

Tools

Azure AI

OpenAI

LangChain

Semantic Kernel

Docker

Kubernetes

Git

CI/CD tools

Job description

Job ID: INS-AIML-002 Hyderabad, Telangana (work from office) Full-time 2–5 years Openings: 03 Reporting to: Technology Manager / Technical Lead

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

• 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.