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Urgent! AI/ML Engineer – Intern/Fresher/Experienced Job Opening In Vadodara – Now Hiring Gururo

AI/ML Engineer – Intern/Fresher/Experienced



Job description

Location: Vadodara

Type: Full-time / Internship

Duration (for interns): Minimum 3 months

Stipend/CTC: Based on experience and role


About Gururo


Gururo is an industry leader in practical, career-transforming education.

With a mission to empower professionals and students through real-world skills, we specialize in project management, leadership development, and emerging technologies.

Join our fast-paced, mission-driven team and work on AI/ML-powered platforms that impact thousands globally.


Who Can Apply?




  • Interns: Final-year students or recent graduates from Computer Science, Data Science, or related fields, with a strong passion for AI/ML.




  • Freshers: 0–1 years of experience with academic or internship exposure to machine learning projects.




  • Experienced Professionals: 1+ years of hands-on experience in AI/ML roles with a demonstrated portfolio or GitHub contributions.




Key Responsibilities




  • Design and develop machine learning models and AI systems for real-world applications




  • Clean, preprocess, and analyze large datasets using Python and relevant libraries




  • Build and deploy ML pipelines using tools like Scikit-learn, TensorFlow, PyTorch




  • Work on NLP, Computer Vision, or Recommendation Systems based on project needs




  • Evaluate models with appropriate metrics and fine-tune for performance




  • Collaborate with product, engineering, and design teams to integrate AI into platforms




  • Maintain documentation, participate in model audits, and ensure ethical AI practices




  • Use version control (Git), cloud deployment (AWS, GCP), and experiment tracking tools (MLflow, Weights & Biases)




Must-Have Skills




  • Strong Python programming skills




  • Hands-on experience with one or more ML frameworks (Scikit-learn, TensorFlow, or PyTorch)




  • Good understanding of core ML algorithms (classification, regression, clustering, etc.)




  • Familiarity with data wrangling libraries (Pandas, NumPy) and visualization (Matplotlib, Seaborn)




  • Experience working with Jupyter Notebooks and version control (Git)




  • Basic understanding of model evaluation techniques and metrics




Good to Have (Optional)




  • Exposure to deep learning, NLP (transformers, BERT), or computer vision (OpenCV, CNNs)




  • Experience with cloud ML platforms (AWS SageMaker, GCP AI Platform, etc.)




  • Familiarity with Docker, APIs, and ML model deployment workflows




  • Knowledge of MLOps tools and CI/CD for AI systems




  • Kaggle profile, published papers, or open-source contributions




What You’ll Gain




  • Work on real-world AI/ML problems in the fast-growing EdTech space




  • Learn from senior data scientists and engineers in a mentorship-driven environment




  • Certificate of Internship/Experience & Letter of Recommendation (for interns)




  • Opportunities to lead research-driven AI initiatives at scale




  • Flexible work hours and performance-based growth opportunities




  • End-to-end exposure — from data collection to model deployment in production




Required Skill Profession

Computer Occupations



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