Python Developer
5 days ago
- 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, ₹41,451.62 per month
Work Location: In person
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