Ai/ml Engineer

18 hours ago

Vadodara Gujarat, India Gururo Full time

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

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