AI Engineer with more focus on ML + ML OPS + Python

Machine Learning Engineering:

- Design, develop, train, and deploy Machine Learning and Deep Learning models for business use cases.
- Build scalable ML pipelines for data ingestion, feature engineering, model training, and inference.
- Optimize model performance, accuracy, latency, and scalability.
- Implement MLOps practices including CI/CD, model monitoring, versioning, and automated retraining.
- Deploy ML models in cloud environments using containerization and orchestration technologies.
- Collaborate with software engineering teams to integrate AI/ML solutions into production applications.

Data Science:

- Analyze large structured and unstructured datasets to identify trends, patterns, and actionable insights.
- Perform exploratory data analysis (EDA) and statistical modeling.
- Develop predictive, classification, recommendation, forecasting, and anomaly detection models.
- Conduct A/B testing and hypothesis validation to support business decisions.
- Create data visualizations, dashboards, and executive-level insights.
- Work closely with business stakeholders to translate business problems into AI/ML solutions.

📌 ML Engineer + Data Scientist (Pune)
🏢 LTM
📍 Pune