Senior Machine Learning Engineer

Artech L.L.C.; Bengaluru South; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Artech L.L.C. is seeking a Senior Machine Learning Engineer to design, develop, deploy, and monitor scalable ML solutions on Azure. The role emphasizes hands-on Python (Pandas, Scikit-learn), PySpark, and cloud-based ML lifecycle management.

The ideal candidate will build production-grade models for forecasting and predictive tasks, develop APIs for scoring services, and collaborate across business, data engineering, and architecture teams while advancing MLOps practices.

Qualifications

• 10+ years of IT experience with 5+ years in Machine Learning.
• Proficient in Python for data processing and modeling (Pandas, Scikit-learn).
• Hands-on with ML frameworks such as XGBoost, LightGBM; strong PySpark/Spark experience.
• Experience building, deploying, and monitoring production ML solutions on Azure.
• Knowledge of time series forecasting, model evaluation, and monitoring.

Responsibilities

• Develop and deploy machine learning models for regression, classification, clustering, and forecasting use cases.
• Build scalable data processing and feature engineering pipelines using Python, Pandas, PySpark, and Spark.
• Design and implement ML solutions using Azure Machine Learning and Azure Synapse.
• Perform model evaluation, validation, tuning, and performance monitoring.
• Develop APIs and model scoring services for batch and real-time inference.
• Collaborate with business, data engineering, and architecture teams to deliver AI/ML solutions.
• Support MLOps practices including model deployment, monitoring, retraining, and lifecycle management.

Skills

Python

Pandas

Scikit-learn

PySpark

Time Series Forecasting

Model Performance Monitoring

REST APIs

Tools

Azure Machine Learning

Azure Synapse

Spark

XGBoost

LightGBM

Job description

Role Summary

We are looking for a Senior Machine Learning Engineer with strong experience in building, deploying, and monitoring scalable ML solutions on Azure. The ideal candidate should have expertise in Python, PySpark, Azure ML, forecasting, predictive modeling, and production-grade model deployment.

Key Responsibilities

• Develop and deploy machine learning models for regression, classification, clustering, and forecasting use cases.
• Build scalable data processing and feature engineering pipelines using Python, Pandas, PySpark, and Spark.
• Design and implement ML solutions using Azure Machine Learning and Azure Synapse.
• Perform model evaluation, validation, tuning, and performance monitoring.
• Develop APIs and model scoring services for batch and real-time inference.
• Collaborate with business, data engineering, and architecture teams to deliver AI/ML solutions.
• Support MLOps practices including model deployment, monitoring, retraining, and lifecycle management.

Required Skills

• 10+ years of IT experience with 5+ years in Machine Learning.
• Strong programming skills in Python (Pandas, Scikit-learn).
• Experience with XGBoost, LightGBM and other ML frameworks.
• Strong hands-on experience with PySpark/Spark.
• Experience with:
• Time Series Forecasting
• Model Performance Monitoring
• Experience developing REST APIs, model deployment, and scoring services.
• Strong analytical, problem-solving, and communication skills.