PrimeSoft - Machine Learning Engineer - Python in Hyderabad, भारत

Designation : Machine Learning EngineerExperience : 6 to 10 yearsQualification : BE/B.Tech, ME/M.TechLocation : Hyderabad, Bangalore and MumbaiJob Description : As a Machine Learning Engineer, you will own end-to-end ML initiatives from feature engineering and model development to deployment, monitoring, and retraining. You will build production-grade propensity and customer-focused models that drive business decisions, ensuring scalability, reliability, and https://jobeax.com/link/G5Ydhz4RBiyJw5AT Responsibilities : - Develop and deploy production-grade ML models for propensity, churn, conversion, and customer analytics.- Own feature engineering, model validation, deployment, monitoring, and retraining.- Implement MLOps practices including model versioning, experiment tracking, CI/CD, and automated retraining.- Monitor model performance, data drift, concept drift, and production issues.- Design scalable and reliable ML architectures and pipelines.- Ensure model explainability, governance, documentation, security, and data privacy.- Collaborate with product, data, and business teams to translate requirements into effective ML solutions.- Leverage LLMs and AI-assisted development tools to improve engineering https://jobeax.com/link/YUDWR8e0Nmg3Olso Skills : - Strong hands-on experience with production ML, Python, and SQL.- Experience with propensity, churn, conversion, or customer-outcome modelling.- Strong knowledge of feature engineering, feature stores, data leakage prevention, and train/serve consistency.- Experience with ML validation, backtesting, A/B testing, and model performance measurement.- Hands-on experience with MLOps, MLflow/model registry, CI/CD, model monitoring, and automated retraining.- Understanding of data drift, concept drift, model governance, explainability, and model security.- Ability to design scalable, reliable, and maintainable ML https://jobeax.com/link/W9YK9k5zLsSF6I1f & LLM Skills : - Strong hands-on experience using LLMs and AI-assisted development tools in day-to-day engineering.- Experience with prompt engineering, coding agents, AI-assisted development, and LLM workflow integration.- Practical experience with tools such as Claude, Cursor, GitHub Copilot, or equivalent.- Ability to evaluate LLM output, identify limitations, and use AI tools effectively in production https://jobeax.com/link/lB5I1VzvpguD4hS5 Skills : - Strong problem-solving, analytical, and systems-thinking skills.- Strong ownership and ability to work independently in a fast-paced environment.- Good communication and stakeholder management skills.- Ability to explain ML concepts and technical decisions to non-technical stakeholders. (ref:hirist.tech)