Senior Data Scientist (NLP)

Hypersonix.ai is disrupting the e-commerce space with AI, ML and advanced decision capabilities to drive real-time business insights. Hypersonix.ai has been built ground up with new age technology to simplify the consumption of data for our customers in various industry verticals. 

Roles and Responsibilities: 

1. Collaborate with cross-functional teams to design, develop, and deploy machine learning models and algorithms for NLP, Generative AI and CV Applications.
2. Research, experiment with, and implement state-of-the-art machine learning techniques and frameworks to solve challenging problems.
3. Develop and optimize deep learning models for different tasks such as NER, matching, image recognition, and generative content creation.
4. Stay up to date with the latest advancements in ML and AI research and integrate them into our projects.
5. Collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production environments.
6. Document research findings, methodologies, and codebase to facilitate knowledge sharing and team collaboration.
7. Troubleshoot and resolve issues in production environments to ensure the seamless operation of our systems.
8. Ability to perform root cause analysis of product defects and implement effective solutions.
9. Design, code, and maintain parts of the product and drive customer adoption.
10. Work on using multiple data science methodologies to solve complex business problems.

Qualification/Requirements: 

1. Must have a bachelor's/master's degree in a quantitative field. 
2. Strong problem-solving skills and the ability to work on complex, open-ended challenges.
3. Motivated self-starter with a strong work ethic and the ability to work independently and as part of a team.
4. Proven experience working on NLP and deep learning with a strong portfolio of projects.
5. Strong programming skills in Python and the ability to write efficient and maintainable code.
6. Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn.
7. Experience with cloud-based AI services and infrastructure (e.g., AWS)
8. Must have experience in API development and API integration.  
9. Experience working in production environment, ensuring system stability and performance.

Only those candidates can apply who: 

1. Are available for the work from home job. 
2. Have experience of more than 3 years in AI/ML. 
3. Have relevant skills and interests.