Python Machine Learning Engineer

Lonvec Technologies Private Limited; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Lonvec Technologies Private Limited in Bengaluru, India, is seeking a seasoned Python Machine Learning Engineer to design, develop and deploy scalable ML solutions. The role emphasizes strong Python skills, data processing, model development, and deployment within a hybrid, full-time setup.

You will collaborate with data scientists and software engineers to build reusable ML components, evaluate models, and monitor production deployments to ensure accuracy and performance.

Qualifications

• Design and develop ML models using Python
• Data preprocessing, feature engineering, and model optimization
• Build predictive analytics and AI-driven solutions
• Develop APIs for deploying ML models

Responsibilities

• Develop and implement machine learning models using Python
• Perform data preprocessing, feature engineering, and model optimization
• Build predictive analytics and AI-driven solutions
• Work with ML frameworks such as Scikit-learn, TensorFlow, and PyTorch
• Develop APIs for deploying machine learning models
• Evaluate model performance and improve accuracy
• Collaborate with data scientists and software engineers
• Create reusable ML components and pipelines
• Deploy and monitor machine learning models in production environments; maintain technical documentation and best practices

Skills

Python

ML knowledge

Data preprocessing

Feature engineering

Tools

Scikit-learn

TensorFlow

PyTorch

REST APIs

Job description

Python AI/ML Development / Machine Learning Engineering Full-time Hybrid

We are looking for an experienced Python Machine Learning Engineer to design, develop, and deploy machine learning solutions that solve complex business problems. The ideal candidate will have strong Python programming skills with experience in machine learning algorithms, data processing, model development, and deployment. The role involves building scalable ML solutions, optimizing models, and collaborating with data scientists and engineering teams.

• Develop and implement machine learning models using Python
• Perform data preprocessing, feature engineering, and model optimization
• Build predictive analytics and AI-driven solutions
• Work with ML frameworks such as Scikit-learn, TensorFlow, and PyTorch
• Develop APIs for deploying machine learning models
• Evaluate model performance and improve accuracy
• Collaborate with data scientists and software engineers
• Create reusable ML components and pipelines
• Deploy and monitor machine learning models in production environmentsMaintain technical documentation and best practices

Requirements

• ML Algorithms