Jr. Python Developer

Overview

• Python Proficiency: Solid understanding of Python syntax, data structures, and object-oriented programming principles.
• AI/ML Frameworks: Hands-on experience with popular AI and machine learning frameworks such as TensorFlow, PyTorch, and/or scikit-learn.
• Generative AI Libraries: Familiarity with generative AI libraries like Open AI, Stable Diffusion, HuggingFace Transformers, etc.
• Data Handling: Experience with data manipulation and analysis using libraries like Pandas and NumPy.
• Machine Learning Algorithms: Solid understanding of fundamental machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Version Control: Familiarity with Git and other version control systems.
• Software Development Methodologies: Understanding of Agile and Scrum methodologies.
• Problem-Solving: Strong analytical and problem-solving skills.
• Communication: Excellent communication and teamwork skills.
• Cloud Platforms (Optional): Some familiarity with cloud platforms like AWS, Azure, or GCP is a plus.
• Testing and Debugging: Proficiency in testing, debugging, and troubleshooting code related to AI/ML models.

Job Description (JD) Highlights:Core Responsibilities:

• Developing, implementing, and testing AI and machine learning models, including generative models.
• Working with diverse datasets, performing data cleaning, preprocessing, and feature engineering relevant to AI/ML tasks.
• Integrating AI/ML models into existing applications and systems.
• Training, evaluating, and optimizing AI/ML models for performance and accuracy.
• Collaborating with data scientists, engineers, and product managers to define project goals and deliver AI-powered solutions.
• Staying up-to-date with the latest advancements in AI, machine learning, and generative AI technologies.
• Documenting code, models, and deployment processes clearly.
• Troubleshooting and resolving issues related to AI/ML implementations.

Required Skills:

• Proficiency in Python and relevant AI/ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with generative AI libraries (Stable Diffusion, HuggingFace Transformers, OpenAI, etc...).
• Strong understanding of machine learning principles and algorithms.
• Experience in data manipulation and analysis using Python libraries (Pandas, NumPy).
• Familiarity with version control systems (Git).
• Strong analytical and problem-solving skills.

Job Type: Full-time

Pay: ₹15,000.00 - ₹41,451.62 per month

Schedule:

• Morning shift

Supplemental Pay:

• Yearly bonus

Work Location: In person