AI Development Training and Internship

About the Company :

Refonte Learning is a dynamic Ed-Tech division of Refonte Private Limited, dedicated to empoweringindividuals and businesses in the digital age. Weofferindustry-relevant IT training programs in Python, SQL, Tableau, and Advanced Excel, alongwith hands-on projects and internshipsthroughour unique Global Training &Internship Program (OGTIP). Additionally, weprovidecutting-edge digital marketing solutions to help businesses achievetheirgrowth objectives.

Program Overview:

The AI Development Training and Internship Program is tailored for individuals passionate about artificial intelligence and machine learning. Participants will work closely with experienced AI engineers, developing intelligent models, optimizing machine learning algorithms, and applying AI techniques to real-world business problems. You will have the opportunity to work on projects involving natural language processing (NLP), computer vision, predictive analytics, and AI-powered automation.

This program is ideal for those eager to enhance their skills in AI development and gain industry-relevant experience in a supportive learning environment.

Key Responsibilities:

• Machine Learning Model Development: Assist in designing, training, and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Data Preprocessing & Analysis: Work with structured and unstructured datasets, performing data cleaning, feature engineering, and exploratory data analysis.
• AI Algorithm Optimization: Help optimize AI algorithms for accuracy, performance, and scalability.
• Natural Language Processing (NLP): Contribute to NLP-based projects such as chatbots, text classification, sentiment analysis, and language translation.
• Computer Vision: Assist in developing image recognition, object detection, and facial recognition applications.
• AI-Powered Automation: Work on integrating AI-driven automation into various business processes.
• Model Deployment & MLOps: Learn to deploy machine learning models into production using cloud platforms (AWS, Azure, Google Cloud) and MLOps best practices.
• Research & Experimentation: Stay up to date with the latest AI trends, research papers, and emerging technologies.
• Collaboration & Documentation: Work with cross-functional teams, including software engineers and data scientists, and document AI workflows and model performance.

Program Learning Outcomes:

• Hands-on experience in designing, developing, and deploying AI and machine learning models.
• Understanding of deep learning architectures, including neural networks, CNNs, and RNNs.
• Practical knowledge of AI tools and frameworks such as TensorFlow, PyTorch, Scikit-Learn, and OpenCV.
• Experience in handling real-world datasets and applying data preprocessing techniques.
• Exposure to AI-powered automation and its applications in business environments.
• Proficiency in model deployment and MLOps workflows for scalable AI applications.
• Improved problem-solving and critical-thinking skills in AI development.

Skills & Qualifications:

• Educational Background: Currently pursuing or recently graduated with a degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Programming Skills: Strong proficiency in Python; familiarity with libraries such as NumPy, Pandas, and Matplotlib.
• Machine Learning Knowledge: Basic understanding of supervised and unsupervised learning, deep learning, and neural networks.
• Mathematical Foundations: Good grasp of linear algebra, probability, and statistics.
• Data Handling: Experience working with large datasets and SQL/NoSQL databases is a plus.
• Cloud & Deployment Skills: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and containerization tools (Docker, Kubernetes) is a plus.
• Problem-Solving Abilities: Strong analytical and critical-thinking skills for AI model optimization.
• Communication & Teamwork: Ability to clearly explain AI concepts and collaborate with multidisciplinary teams.
• Language Skills: Proficiency in English (written and spoken) is required.

Program Benefits:

• Hands-on AI development experience with real-world projects.
• Mentorship from AI professionals and access to learning resources.
• Exposure to industry-standard AI tools, platforms, and best practices.
• Networking opportunities with AI experts and professionals in the field.
• Potential for full-time employment upon successful completion of the internship.

How to Apply:

Interested and qualified candidates shouldsendtheir CV to: ursila.ramparanysandia@refontelearning.co using the Title as the subject of the mail.