Machine Learning Engineer Job | Remote | Fresher - Orizn
Job Title: Machine Learning Engineer
Job ID: RF347
Work Mode: Remote (Work from Home)
Experience Level: Fresher
Salary Range: ₹12 – ₹14 LPA
Industry: IT, Artificial Intelligence, Data Science
Employment Type: Full-Time
We’re looking for a motivated Machine Learning Engineer to join our remote team. This is an exciting opportunity for fresh graduates or early-stage professionals who are passionate about building intelligent systems, working with real-world data, and deploying machine learning models in production.
Key Responsibilities:
- Design and implement machine learning models for real-world use cases.
- Conduct data preprocessing, feature extraction, and exploratory data analysis to improve model accuracy.
- Develop predictive models using techniques like regression, classification, and clustering.
- Work with popular ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Deploy machine learning solutions into production environments and monitor their performance.
- Collaborate with developers, product managers, and data teams to build end-to-end ML systems.
- Continuously learn and adapt to the latest trends in AI, ML, and deep learning.
Required Skills & Qualifications:
Technical Skills:
- Strong foundation in Python programming.
- Good understanding of core machine learning algorithms and principles.
- Hands-on experience or academic exposure to tools like TensorFlow, PyTorch, and scikit-learn.
- Familiarity with data analysis, data wrangling, and feature engineering techniques.
- Knowledge of regression, classification, and clustering models.
Soft Skills:
- Strong problem-solving and logical thinking abilities.
- Clear and effective communication skills in remote settings.
- Ability to manage tasks independently and collaborate in a team environment.
- Eagerness to learn and grow in the AI/ML domain.
Why Join Us?
- High-growth opportunity for freshers in the AI/ML space.
- Work from anywhere – 100% remote role.
- Exposure to real-world machine learning deployment and product integration.
- Friendly, collaborative, and innovation-driven work culture.
Apply Now