AI/ML Engineer

TechWise Digital; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

TechWise Digital in Bengaluru is hiring an AI/ML Engineer with 5+ years of experience to design, train, validate, and deploy scalable machine learning solutions for real-world business use cases.

You'll build production-ready ML pipelines, deploy models through APIs or cloud platforms (AWS/Azure/GCP), and collaborate with Data Engineering to ensure high performance, reliability, and robust model lifecycle management.

Qualifications

• 5+ years of experience in AI/ML engineering.
• Strong Python proficiency and ML algorithms.
• Experience with data preprocessing and feature engineering.
• Proven ability to design, train, validate, and deploy models.
• Familiarity with ML pipelines and MLOps.

Responsibilities

• Design, train, validate, and deploy predictive models for business use cases.
• Build production-ready ML pipelines and deploy via APIs or cloud.
• Collaborate with Data Engineering for data and deployment.
• Monitor performance and iterate with hyperparameter tuning.

Skills

Python

ML algorithms

Data preprocessing

Feature engineering

Model optimization

MLOps

Model lifecycle management

Hyperparameter tuning

APIs

Cloud platforms

Tools

AWS

Azure

GCP

Job description

We are hiring an AI/ML Engineer with 5+ years of experience in developing and deploying scalable machine learning solutions. The ideal candidate should possess strong expertise in Python, machine learning algorithms, data preprocessing, feature engineering, and model optimization. You will be responsible for designing, training, validating, and deploying predictive models for real-world business use cases while ensuring high performance and reliability.

Hands-on experience with supervised, unsupervised, and deep learning techniques, along with model evaluation, hyperparameter tuning, and performance monitoring, is essential.

Candidates should have experience building production-ready ML pipelines, deploying models through APIs or cloud platforms such as AWS, Azure, or GCP, and collaborating with Data Engineering teams.

Strong knowledge of MLOps, model lifecycle management, statistical analysis, version control, and excellent analytical, communication, and problem-solving skills is highly preferred.

Skills: ml,python,cloud