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.