Data Science Specialist

Must have skills:
Python Programming, Machine Learning, Statistical Analysis, Data Science, Generative AI (GPT, DALL
· E, GANs), Cloud (AWS/Azure/GCP), Model Deployment, API Development, Docker/Kubernetes

Good to have skills:
PyTorch, Tensor Flow, Large-Scale Data Processing, Cloud Integrations, NLP, Computer Vision, Security Best Practices, Performance Optimization, Open-Source Contributions

Roles & Responsibilities :

- Collaboration:

Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions.
- Model Deployment:
Containerize and deploy generative AI models using tools like Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, Google Cloud).
- API Development:
Design, develop, and deploy robust APIs to expose generative AI models (e.g., GPT, DALL
· E, Stable Diffusion, GANs) for integration into client systems and applications.
- Client

Collaboration:

Work closely with clients to understand their technical requirements and deliver tailored API solutions that meet their business needs.
- Generative AI Model Integration:
Integrate generative AI models into existing workflows, applications, and platforms via APIs.
- Performance Optimization:
Optimize API performance for latency, scalability, and reliability, ensuring seamless user experiences.
- Data Pipeline Development:
Build and maintain data pipelines to support real-time or batch processing for generative AI models.
- Security and Compliance:
Implement security best practices and ensure APIs comply with data privacy and regulatory standards.
- Documentation:
Create comprehensive API documentation, including usage examples, SDKs, and troubleshooting guides.
- Testing and Monitoring:
Develop automated testing frameworks and monitoring systems to ensure API reliability and performance.
- Stay Updated:
Keep up with the latest advancements in generative AI, API development, and cloud technologies to bring innovative solutions to clients.

Professional & Technical

Skills:

- 3+ years of experience in Data Science and Machine Learning with a focus on Generative AI models (LLMs).
- Strong proficiency in Python programming and experience with machine learning frameworks (e.g., Tensor Flow, PyTorch).
- Expertise in API Development and deployment, with hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
- Ability to build and optimize data pipelines for generative AI models.
- Knowledge of security best practices and ensuring compliance with regulatory standards.
- Strong problem-solving, analytical, and creative thinking skills to design and implement innovative solutions.
- Excellent communication skills, capable of conveying complex technical concepts to diverse audiences.

Additional Information:

- Experience with large-scale data processing and expertise in NLP or computer vision.
- Contributions to open-source AI/ML projects.

- Experience with cloud integrations, big data technologies, and performance optimization.
- Familiarity with security standards and regulatory compliance in AI solutions.