Website:
inficoresoft.com
Job details:
Fresher Machine Learning Intern
Inficore Soft
Location: Remote
Type: Full-Time Internship
Stipend: ₹18,000/month
Duration: 1–3 Months
Inficore Soft is looking for a Machine Learning Intern who is interested in building intelligent systems and working with real-world data. This role offers hands-on experience in developing, training, and evaluating machine learning models to solve practical business problems.
Key Responsibilities
• Prepare and preprocess datasets for machine learning tasks
• Build, train, and test machine learning models
• Work on supervised and basic unsupervised learning techniques
• Perform feature engineering and improve model accuracy
• Analyze model performance and refine algorithms
• Collaborate with teams to understand use cases and implement ML solutions
• Work with Python libraries such as scikit-learn, Pandas, and NumPy
• Document models, workflows, and results
Required Skills
• Basic knowledge of Python programming
• Understanding of machine learning algorithms and concepts
• Familiarity with libraries like scikit-learn, Pandas, and NumPy
• Basic knowledge of statistics and probability
• Understanding of data preprocessing and model evaluation
• Strong analytical and problem-solving skills
• Attention to detail and ability to work with complex data
• Ability to work independently in a remote environment
Eligibility Criteria
• Students or recent graduates from Computer Science, AI, Data Science, or related fields
• Freshers with basic machine learning knowledge are encouraged to apply
• Candidates with academic or personal ML projects will have an advantage
• Must be available for a full-time remote internship
Perks and Benefits
• Stipend of ₹18,000 per month
• Hands-on experience with real-world machine learning projects
• Internship completion certificate
• Opportunity to build a strong ML portfolio
• Exposure to modern tools and industry practices
• Learning-focused and growth-oriented environment
This internship is ideal for individuals who want to start their career in machine learning and gain practical experience in building data-driven intelligent solutions.
Click on Apply to know more.