AI/ML Engineer Intern/Fresher/Experienced (Vadodara)

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: 01 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 Youll 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 APPLY .