Data Science Specialist

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

Good to have skills: PyTorch, TensorFlow, 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, DALLE, 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., TensorFlow, 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.