Machine Learning Engineer
First seen by Alion on Oct 6, 2026.
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.
Skills
Machine Learning, MLOps, Python, SQL, LLM, Generative AI, Prompt Engineering, Artificial Intelligence