Hybrid Bengaluru Python ML Developer | AI/ML Solutions

United States Digital Space LLC; United States; Hybrid; USD 2,000 - 5,000; Full time

Benefits offered by this job

Flexible schedule

Job summary

United States Digital Space LLC in Bengaluru is seeking a passionate Python Machine Learning Developer to build AI/ML solutions for real-world problems. You will develop and deploy models, create data pipelines, work with varied datasets, and APIs.

The role emphasizes collaboration with cross-functional teams and continuous model improvement. Responsibilities include training and evaluating models, applying new AI techniques, and deploying ML-driven applications in a hybrid setup with flexible

Qualifications

• Bachelor or higher in CS/AI/DS or related field.
• Strong programming in Python with OOP.
• Solid understanding of ML concepts and data processing.

Responsibilities

• Develop and deploy ML models for business applications.
• Build data pipelines for collection, processing, and analysis.
• Work with structured and unstructured datasets.
• Train, evaluate, and optimize ML models.
• Develop AI-powered apps using modern frameworks and APIs.
• Build REST APIs for ML model integration.
• Collaborate with developers, designers, and stakeholders.
• Monitor model performance and improve accuracy over time.
• Research and implement new AI/ML techniques.

Skills

Python

Machine Learning

OOP

Data Structures

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

REST API

FastAPI

Flask

Git

Docker

AWS

Education

Bachelor's Degree in CS/AI/DS

Tools

MySQL

PostgreSQL

MongoDB

SQL Queries

Job description

United States Digital Space LLC in Bengaluru is seeking a passionate Python Machine Learning Developer to build AI/ML solutions for real-world problems. You will develop and deploy models, create data pipelines, work with varied datasets, and APIs.

The role emphasizes collaboration with cross-functional teams and continuous model improvement. Responsibilities include training and evaluating models, applying new AI techniques, and deploying ML-driven applications in a hybrid setup with flexible