Machine Learning Intern

Job Description We are currently seeking a motivated and passionate individual to join our team as a Machine Learning Intern. This internship offers a unique opportunity to work closely with experienced data scientists and engineers in a dynamic and innovative environment. As an ML intern, you will have the chance to contribute to cutting-edge projects, gain hands-on experience with state-of-the-art machine learning techniques, and collaborate with cross-functional teams to solve real-world challenges. Duration Of Internship: 4 Months Responsibilities:   Collaborate with our team of data scientists and engineers to develop and deploy machine learning models and algorithms.   Implement and evaluate various machine learning techniques, including supervised and unsupervised learning methods, for solving real-world problems.   Conduct data preprocessing, feature engineering, and model evaluation to ensure the accuracy and robustness of machine learning models.   Utilize deep learning frameworks such as PyTorch , TensorFlow, and Hugging Face for developing advanced neural network architectures.   Work on computer vision tasks such as image processing, object detection, and tracking to extract meaningful insights from visual data.   Apply natural language processing techniques for text classification, natural language understanding (NLU), summarization, and similarity analysis.   Collaborate with cross-functional teams to integrate machine learning solutions into existing products and services.   Document and communicate technical concepts and findings effectively to both technical and non-technical stakeholders.   Requirements Python programming language and good with libraries like matplotlib, seaborn, pandas, and NumPy.   Hands-on experience with deep learning frameworks such as PyTorch , TensorFlow, or Hugging Face.   Hands-on experience with machine learning algorithms for supervised and unsupervised learning tasks.   Solid foundation of statistical concepts including inferential statistics, hypothesis testing, and probability distributions.   Strong understanding of Linear Algebra & Calculus.   Knowledge of deep learning architectures like ANN, CNN, Transformers, LLM.   Hands-on with one of the below deep learning domain :   Computer Vision tasks: image processing, OCR, object detection and tracking.   NLP tasks: text classification, summarization, similarity analysis, text-generation.   Strong research skills with the ability to critically analyze scientific papers and literature related to machine learning and AI.   Good to have experience with the below:   Participated in Kaggle or any ML hackathons.   Exposure to ML cloud service on AWS/Azure/GCP.   Explored Langchain , LlamaIndex , Vector stores.   Requirements Requirements : Good understanding of different marketing techniques Familiarity with marketing applications (e.g. CRM tools, Online analytics and Google AdWords) Passion for the marketing industry and its best practices Excellent verbal and written communication skills Skills : Written & oral communication, Objection Handling, Pitching Value Proposition, Good to have the valve industry, HVAC knowledge Qualifications : Bachelor’s degree in Mechanical or related discipline, BBA/MBA in Marketing A self-motivated and extrovert individual with a strong work ethic and a desire for continuous learning