AI/ML Engineer ââ¬â Intern/Fresher/Experienced
AI/ML Engineer ââ¬â Intern/Fresher/Experienced
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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: 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
Employment Type
Full Time
