PrimeSoft - Machine Learning Engineer - Python

Designation : Machine Learning Engineer

Experience : 6 to 10 years

Qualification : BE/B.Tech, ME/M.Tech

Location : Hyderabad, Bangalore and Mumbai

Job 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 performance.

Key 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 productivity.

Technical 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 solutions.

AI & 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 engineering.

Professional 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.