Machine Learning Engineering Intern

Job Description: Role Overview: Join the ML engineering team to explore cutting-edge machine learning technologies, develop scalable AI solutions, and contribute to real-world applications. This collaborative learning opportunity focuses on end-to-end ML pipeline development, model deployment, and production system optimization. Key Responsibilities: - Design, develop, and optimize machine learning models using Python, TensorFlow, PyTorch, and scikit-learn frameworks - Build and maintain robust ML pipelines from data preprocessing through model deployment and monitoring - Conduct data analysis, feature engineering, and statistical validation to ensure high-quality model performance - Implement model evaluation frameworks and A/B testing infrastructure for continuous improvement - Collaborate with cross-functional teams including data scientists, software engineers, and product managers - Deploy ML models to production environments using Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure) - Participate in code reviews, technical discussions, and contribute to research publications when applicable Qualification Required: Must-Haves: - Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related field (final year students or recent graduates) - Strong programming proficiency in Python with experience in NumPy, Pandas, and machine learning libraries - Solid understanding of machine learning algorithms including supervised/unsupervised learning, neural networks, and deep learning - Knowledge of data structures, algorithms, and software engineering best practices - Experience with version control systems (Git) and collaborative development workflows Nice-to-Haves: - Hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras - Familiarity with MLOps practices, model deployment, and production monitoring systems - Understanding of computer vision, natural language processing, or reinforcement learning applications - Experience with cloud-based ML services and containerization technologies - Previous internship experience or significant open-source contributions in ML/AI projects Additional Details: This unpaid internship offers a collaborative knowledge-sharing opportunity in the rapidly expanding field of machine learning engineering. Outstanding performers will be considered for full-time positions based on technical excellence, problem-solving abilities, and demonstrated impact on ML system development. Duration: 6 months Hours: 09:00 AM to 06:00 PM (Monday to Friday) Location: Ganesh Glory 11, Jagatpur, Ahmedabad, 382470 (Offline Internship),