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, robust stakeholder collaboration, and continuous improvement of AI solutions.

📌 Ai/ml Engineer Hyderabad (India)
🏢 Inspire Infosol India
📍 India