If you are passionate about discovering solutions hidden in large data sets to improve business outcomes, consider this your pass to the captivating world of Data Science and Engineering! 🚀💻
Key Responsibilities:
- Collaborate with product managers, data scientists, and software engineers to identify AI/ML opportunities and develop innovative solutions.
- Implement and deploy AI/ML algorithms and models into production environments.
- Optimize and fine-tune AI/ML models to improve accuracy and efficiency.
- Conduct experiments, perform data analysis, and present findings to stakeholders.
- Develop and maintain documentation for AI/ML algorithms, models, and solutions.
- Stay up-to-date with the latest AI/ML research and technologies and apply them to improve our platform.
- Mentor and provide technical guidance to junior AI/ML engineers or team members.
Qualification:
- 4+ years of experience in building AI models with ML, NLP and deep learning.
- Strong knowledge of AI/ML techniques, algorithms, and frameworks.
- Cloud platforms such as AWS, Azure, or Google Cloud.
- Libraries: PyTorch, TensorFlow, and Scikit-Learn.
- Solid understanding of machine learning concepts, algorithms, and statistical methods.
- Computer vision libraries (OpenCV, etc.)
- NLP libraries (spaCy, Hugging Face, etc.)
- MLOps practices and experience with CI/CD tools.
- Good Software Engineering Background
- Visualization tools: PowerBI, Tableau, AWS QuickSight etc.
- Agentic AI
- RAG
- Prompt Engineering
- Pytorch
- Streamlit
- LangChain
Mandatory Skills: