Python Training, Internship and Job

Job Description: Python Training, Internship and Job Assistance Position: Python Intern Location: Pune, Maharashtra, India Duration: 6 months Mode: Offline Stipend: Unpaid Training Program: Free Training with Job Assistance upon Successful Completion Pre-Placement Offer (PPO) Opportunity: 2.5 LPA CTC (Based on performance) Note: CANDIDATES SHOULD BE READY TO LEARN NEW TECHNOLOGIES About the Role: We are seeking a motivated and detail-oriented Python Intern to join our team. The ideal candidate will have a foundational understanding of API development using frameworks like Flask and FastAPI, a strong grasp of Python libraries such as Pandas and NumPy, and a knack for problem-solving. Knowledge of data analytics tools and Large Language Models (LLMs) will be considered a plus. Key Responsibilities: Develop and maintain RESTful APIs using Flask and FastAPI. Work with data manipulation and analysis libraries like Pandas and NumPy. Assist in building scalable and efficient back-end solutions. Solve real-world problems with logical and analytical thinking. Support data analytics efforts using tools like Power BI (preferred). Collaborate with cross-functional teams to understand requirements and deliver solutions. Explore and implement applications of LLMs and other advanced technologies (as needed). Requirements: Proficiency in Python programming. Hands-on experience or knowledge of Flask and FastAPI frameworks. Familiarity with data analysis libraries such as Pandas and NumPy. Strong problem-solving and logical thinking skills. Good understanding of RESTful API design principles. Knowledge of data analytics tools like Power BI is a plus. Awareness of Large Language Models (LLMs) and their potential applications is a bonus. Eagerness to learn and work in a collaborative environment. What We Offer: Hands-on experience in API development and data analytics projects. Mentorship from experienced professionals. Opportunity to explore cutting-edge technologies like LLMs. A learning-focused environment to develop both technical and analytical skills. Potential for full-time opportunities based on performance.