remoteonsite
Machine Learning Engineer - Techie Konnect Services
ML Engineer
Machine Learning Engineer building end‑to‑end predictive models for large operational data, focusing on forecasting, risk classification, and anomaly detection using Python and advanced ML techniques.
About the role
Key Responsibilities
- Design, train, and evaluate ML models for time‑series and tabular problems, including forecasting, risk classification, and anomaly detection.
- Build and maintain reproducible data and feature pipelines over large, multi‑year operational datasets.
- Deploy models into production environments, ensuring scalability and reliability.
- Implement monitoring and alerting to track model performance and drift.
- Collaborate with data engineers and product teams to translate business requirements into technical solutions.
Requirements
- Strong experience with Python and ML libraries (scikit‑learn, TensorFlow, PyTorch).
- Proficiency in feature engineering, data preprocessing, and model evaluation.
- Hands‑on experience with model deployment and monitoring tools.
- Excellent problem‑solving skills and ability to work in a fast‑paced environment.
Skills
pythonmachine learning