AI/ML - Internship

**JD - AI/ML- Internship** **We have an Internship opportunity for an AI/ML Developer Apprentice. A successful apprenticeship can lead to certification and a full-time offer.** **Required Experience: 0–6 Months** **Work Mode: Onsite** **Location: Arekere, Bangalore** **Stipend: ₹10,000 (Fixed)** **Only candidates who can complete the full 6-month engagement should apply.** **Bangalore-based candidates may apply** **Immediate joiners preferred** **Job Summary:** **We are looking for a quick-learning AI/ML Internship** **skilled in Python ecosystems and core ML concepts. Collaborate on impactful projects involving supervised/unsupervised learning to gain hands-on expertise and certification potential.** **Must have skills & tools:** * **Proficiency in Python programming.** * **Strong grasp of data manipulation and analysis with NumPy and Pandas.** * **Data visualization using Matplotlib (or similar libraries like Seaborn).** * **Understanding of supervised learning (e.g., regression, classification) and unsupervised learning (e.g., clustering, dimensionality reduction).** * **Experience with AI/ML-related projects (e.g., predictive modeling, image classification).** * **Familiarity with AI tools like Jupyter Notebook, Scikit-learn, or TensorFlow basics.** **Good to have:** * **Knowledge of deep learning frameworks (e.g., Keras, PyTorch).** * **Version control with Git.** * **Cloud platforms for ML (e.g., AWS SageMaker, Google Colab).** * **Basic statistics and linear algebra.** **Responsibilities:** * **Collaborate with the AI/ML team to develop and test machine learning models.** * **Clean, preprocess, and analyze datasets using Python, NumPy, and Pandas.** * **Build supervised and unsupervised learning models for tasks like prediction and clustering.** * **Create insightful visualizations with Matplotlib to communicate results.** * **Work on end-to-end AI projects, from data ingestion to model deployment.** * **Experiment with AI tools and frameworks to prototype solutions.** * **Participate in code reviews, debugging, and model optimization.** * **Document projects and learn emerging AI technologies in a fast-paced environment.** * **Assist in deploying models on cloud platforms.**