AI/ML Engineer

The job is based in Vadodara and is available as a Full-time position or as an Internship with a minimum duration of 3 months. The stipend/CTC offered will depend on the experience and role of the applicant. Gururo is a leading organization that focuses on providing practical, career-transforming education. The mission of Gururo is to empower professionals and students by imparting real-world skills, particularly in project management, leadership development, and emerging technologies. By joining the team at Gururo, you will be part of a fast-paced, mission-driven environment where you will work on AI/ML-powered platforms that have a global impact. Applicants for this position can fall into one of the following categories: - Interns: Final-year students or recent graduates from Computer Science, Data Science, or related fields with a strong passion for AI/ML. - Freshers: Individuals with 0-1 years of experience, having academic or internship exposure to machine learning projects. - Experienced Professionals: Individuals with over 1 year of hands-on experience in AI/ML roles, along with a demonstrated portfolio or contributions on GitHub. 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 requirements. - Evaluate models using appropriate metrics and fine-tune for optimal performance. - Collaborate with product, engineering, and design teams to integrate AI into platforms. - Maintain documentation, participate in model audits, and ensure ethical AI practices. - Utilize version control (Git), cloud deployment (AWS, GCP), and experiment tracking tools (MLflow, Weights & Biases). Must-Have Skills: - Strong proficiency in Python programming. - 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 tools (Matplotlib, Seaborn). - Experience working with Jupyter Notebooks and version control systems (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: - Opportunity to work on real-world AI/ML challenges in the rapidly growing EdTech sector. - Learning from experienced data scientists and engineers in a mentorship-driven setting. - Certificate of Internship/Experience & Letter of Recommendation (for interns). - Opportunities to lead research-driven AI initiatives at scale. - Flexible work hours and chances for growth based on performance. - Comprehensive exposure - from data collection to model deployment in production.,