AI Engineer | Python | AI Agents | Chatbots | Machine Learning | Full Stack | Remote

 Posted a month ago
  
 India
  
⭐ 2-5 years experience
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AI Summary

Develop and deploy machine learning models and build backend systems using Python. Integrate AI solutions with full-stack applications and develop REST APIs.

This is a remote position.

Job Description

We are looking for a skilled Machine Learning Engineer / Python Developer to develop and deploy AI-based solutions.
This is a Work From Home (Remote) position, allowing you to work from any location. You will be responsible for building machine learning models, developing backend systems, and integrating AI solutions with modern full-stack applications.
You will work on real-world AI use cases, collaborating on end-to-end development from data processing and model training to deployment and optimization.

Key Skills

Python, Machine Learning, Data Science
TensorFlow, scikit-learn, Keras
JavaScript (React.js / Node.js)
REST API Development
SQL / MongoDB

Responsibilities

Develop and deploy machine learning models
Perform data preprocessing and analysis
Build backend systems using Python
Develop and integrate REST APIs
Work on full-stack development with JavaScript

Experience

1 to 3 years
Freshers with strong project experience can apply

Job Type

Remote / Work From Home

Salary

Negotiable, based on experience

Requirements

GitHub or portfolio is required
Hands-on project experience in AI or ML
Strong problem-solving skills

Keywords

Machine Learning, Python Developer, AI Engineer, Data Science, Remote Jobs, Work From Home, JavaScript, React.js, Node.js, TensorFlow, NLP, Deep Learning, REST API, MongoDB, AWS


Requirements

Requirements

GitHub or portfolio is required
Hands-on project experience in AI or ML
Strong problem-solving skills


Benefits

Benefits

  • Flexible Work From Home / Remote opportunity
  • Competitive salary based on experience and skills
  • Opportunity to work on real-world AI and Machine Learning projects
  • Career growth and learning opportunities in AI technologies
  • Collaborative and supportive work environment
  • Exposure to modern tools, frameworks, and cloud technologies
  • Hands-on experience with scalable AI applications
  • Performance-based growth opportunities
  • Work-life balance and flexible working hours
  • Opportunity to contribute to innovative and impactful projects


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