AI Developer – Hiring by Dev Technosys

Dev Technosys- CMMI Level 34 months ago
Commerce, CA, United States
On-site
Full-time
Junior Level (1-3 years)

Job Description

Position Overview

Dev Technosys is hiring a talented AI Developer to join our innovative technology team. We are looking for someone who is passionate about artificial intelligence and enjoys building intelligent, scalable, and data-driven solutions for real-world applications.

Location: Commerce, CA, California

Schedule: Full-time

Key Responsibilities

  • Design, develop, and deploy AI-based applications and solutions
  • Build and optimize machine learning models for performance and accuracy
  • Work with large datasets for training, testing, and validation
  • Integrate AI models with web and mobile applications
  • Collaborate with cross-functional teams including product managers and developers
  • Monitor, maintain, and improve existing AI systems

Required Qualifications

  • Strong knowledge of Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience with machine learning, deep learning, and data modeling
  • Understanding of NLP, computer vision, or predictive analytics
  • Familiarity with APIs, cloud platforms, and deployment pipelines
  • Strong analytical and problem-solving skills

Preferred Qualifications

  • Experience working with an AI Development Company
  • Knowledge of cloud services such as AWS, Azure, or Google Cloud
  • Experience with chatbot, recommendation, or automation systems
  • Good communication and teamwork abilities

Benefits & Perks

  • Work on cutting-edge AI and emerging technologies
  • Opportunity to grow with a fast-paced, innovative team
  • Competitive salary and performance-based benefits
  • Exposure to global projects and enterprise clients

Apply now to be part of Dev Technosys and help shape the future of AI-driven innovation.

Required Skills

Cloud Platforms (AWS, Azure, Google Cloud)
Computer Vision
Python
Problem Solving
Data Modeling
Scikit-learn
Machine Learning
Deployment Pipelines
Deep Learning
TensorFlow
PyTorch
API Integration
Team Collaboration
Natural Language Processing