Senior AI Risk Engineer

Algae Services; Bengaluru; Vor Ort; INR 1.800.000 - 3.000.000; Vollzeit

Zusammenfassung

Algae Services in Bengaluru (Bellandur) is seeking a Senior AI Risk Engineer to design, develop, and deploy ML models for industrial data. You will work on forecasting, anomaly detection, and predictive maintenance using Python, SQL, DataRobot, and Databricks ML.

4 days office work week and shift from 1:30 PM to 10:30 PM IST. The role requires hands-on expertise in supervised and unsupervised learning, feature engineering, and model validation, with strong data analysis for actionable insights

Qualifikationen

• Strong Python programming and SQL skills.
• Hands-on experience with DataRobot.
• Hands-on experience with Databricks Machine Learning.
• Strong understanding of supervised and unsupervised machine learning.
• Experience in feature engineering, model validation, statistical analysis, and time-series forecasting.

Aufgaben

• Design, develop, train, evaluate, and validate ML models for forecasting, anomaly detection, predictive maintenance, and asset performance optimization.
• Build feature engineering, data preparation, and model training pipelines using Python-based ML frameworks.
• Analyze large-scale operational and industrial datasets to identify patterns, trends, and actionable insights.
• Apply supervised and unsupervised learning techniques to classification, regression, and time-series forecasting problems.
• Optimize model performance, validate results, and support the deployment of scalable machine learning solutions.

Kenntnisse

Python

SQL

Supervised learning

Unsupervised learning

Feature engineering

Model validation

Time-series forecasting

Tools

DataRobot

Databricks ML

Jobbeschreibung

Job ID : 1501391
Job Description

Job Role : Senior AI Risk Engineer

Location: Bellandur, Bengaluru
Experience: 5+ Years
Work Mode: 4 Days Work From Office
Shift Timings: 1:30 PM – 10:30 PM IST

Job Description

We are looking for an experienced Machine Learning Engineer with hands-on expertise in developing, training, evaluating, and deploying machine learning models. The ideal candidate should have strong programming skills in Python and SQL, along with practical experience in DataRobot and Databricks Machine Learning.

Key Responsibilities

• Design, develop, train, evaluate, and validate ML models for forecasting, anomaly detection, predictive maintenance, and asset performance optimization.
• Build feature engineering, data preparation, and model training pipelines using Python-based ML frameworks.
• Analyze large-scale operational and industrial datasets to identify patterns, trends, and actionable insights.
• Apply supervised and unsupervised learning techniques to classification, regression, and time-series forecasting problems.
• Optimize model performance, validate results, and support the deployment of scalable machine learning solutions.

Mandatory Skills

• Strong Python programming and SQL skills.
• Hands-on experience with DataRobot.
• Hands-on experience with Databricks Machine Learning.
• Strong understanding of supervised and unsupervised machine learning.
• Experience in feature engineering, model validation, statistical analysis, and time-series forecasting.

Good-to-Have Skills

• Experience working with industrial or operational datasets.
• Knowledge of predictive maintenance and asset performance optimization.
• Experience developing scalable ML pipelines and deploying production-ready models.