Gramik
AI/ML Trainee
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Noida, Uttar Pradesh, India
Work mode:
Onsite
Published on:
26 September 2026
What they need
AI/ML Trainee
Experience: Freshers / 0-1 Year
Employment Type: Full-time
Department: Technology
Location: Noida
Job Summary
We are looking for an enthusiastic AI/ML Trainee who is interested in learning and working on Artificial Intelligence and Machine Learning projects. The candidate will work with the technology team to develop, test, and improve AI/ML solutions.
Key Responsibilities
- Assist in developing and testing AI/ML models.
- Work with Python and basic machine learning libraries.
- Clean, prepare, and analyze data for ML projects.
- Support the team in building and improving AI-based solutions.
- Assist in testing models and checking their performance.
- Learn and work with APIs, databases, and basic data processing.
- Research new AI/ML tools and technologies.
- Collaborate with developers and other team members.
Skills Required
- Basic knowledge of Python.
- Understanding of basic AI/ML concepts.
- Knowledge of data structures and databases is a plus.
- Basic understanding of libraries such as Pandas, NumPy, and Scikit-learn.
- Good problem-solving and analytical skills.
- Willingness to learn new technologies.
- Good communication and teamwork skills.
Qualification
- B.Tech / BCA / MCA / B.Sc. / M.Sc. in Computer Science, IT, AI/ML, Data Science, or a related field.
- Freshers are welcome to apply.
What We Offer
- Hands-on experience with real-world AI/ML projects.
- Learning opportunities with experienced team members.
- Exposure to modern AI tools and technologies.
- Opportunity for career growth based on performance.
Required Skills
Machine Learning Analytical skills Problem Solving Data Analysis
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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