Ai Ml Engineer

Akaasa Infotech Noida; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Akaasa Infotech Noida is seeking an experienced AI/ML Engineer to build, scale, and manage end-to-end machine learning systems. The role focuses on developing automated ML pipelines, improving models, and delivering production-ready ML solutions that provide predictions and insights for end users.

The candidate will work across ML engineering, data science, platform engineering, feature engineering, model optimization, and system design, requiring hands-on Python and cloud ML platform experience.

Qualifications

• Strong hands-on experience in ML/AI engineering.
• Proficient in Python programming.
• Experience building and managing production ML pipelines.
• Hands-on experience with AWS SageMaker or similar ML platforms.
• Experience with Databricks and modern data/ML ecosystems.
• Strong understanding of ML algorithms and model development.
• Experience with feature engineering and hyperparameter tuning.
• Experience taking ML models from experimentation to production.
• Strong understanding of ML system design and architecture.

Skills

Machine Learning

Python programming

Production ML pipelines

AWS SageMaker

Databricks

ML system design

Hyperparameter tuning

Tools

AWS SageMaker

Databricks

Job description

Summary

We are looking for an experienced AI/ML Engineer to build, scale, and manage end-to-end machine learning systems. The role involves developing automated ML pipelines, improving existing models, building experimentation capabilities, and delivering production-ready ML solutions that generate predictions and insights for end users. Candidate will work across machine learning engineering, data science, platform engineering, feature engineering, model optimization, and system design.

Required Skills

• Strong hands-on experience in Machine Learning / AI Engineering.
• Excellent programming skills in Python.
• Experience building and managing production ML pipelines.
• Hands-on experience with AWS SageMaker or similar ML platforms.
• Experience with Databricks and modern data engineering/ML ecosystems.
• Strong understanding of machine learning algorithms and model development.
• Experience with feature engineering and hyperparameter tuning.
• Experience taking ML models from experimentation to production.
• Strong understanding of ML system design and architecture.