Machine Learning Engineer

About the role

We are seeking an experienced Machine Learning Engineer to design, develop, deploy, and support scalable machine learning solutions. This role will develop predictive models, build reusable machine learning pipelines, operationalize models through MLOps practices, and monitor model performance in production.

What you'll do

• Design, develop, train, evaluate, and deploy predictive machine learning models for time-series forecasting, classification, regression, anomaly detection, clustering
• Perform data exploration, preprocessing, feature engineering, feature selection, and model experimentation
• Select appropriate machine learning algorithms, forecasting methods, and evaluation metrics based on business and technical requirements
• Build reusable machine learning pipelines covering data ingestion, feature engineering, training, validation, deployment, monitoring, and retraining
• Develop forecasting solutions using historical data, time-series features, backtesting , and appropriate validation techniques

What you need

• 5–8 years in data science & ai
• Machine learning
• Python
• SQL
• MLOps
• AWS
• LLMs
• B.Tech or B.E.

Good to have

• Scikit-learn
• ETL
• Databricks
• Prompt engineering
• Spark
• NLP

What you get