Key Responsibilities:
- Design, develop, and deploy scalable Generative AIbased applications.
- Deploy custom Large Language Models (LLMs) using platforms like OpenAI, Google Gemini, Perplexity, ElevenLabs, Claude, Ollama, and Grok.
- Work with deep learning frameworks including TensorFlow, PyTorch, Scikit-learn, and Keras.
- Optimize and fine-tune AI models for performance, scalability, and real-time processing.
- Build and maintain AI-powered applications and develop APIs/microservices for integration with front-end systems.
- Deploy AI applications at scale using cloud platforms (AWS, Azure, or GCP).
- Preprocess and manage large datasets for AI training and inference, implementing efficient data pipelines.
- Continuously monitor, update, and improve AI models, addressing challenges like model drift, bias, and explainability.
- Collaborate closely with data scientists, engineers, and product managers.
Qualifications Experience:
- Minimum 4 years of overall development experience, with at least 2+ years focused on Generative AIbased application development.
- Proficiency in Python or JavaScript for AI application development.
- Hands-on experience with LLM platforms: OpenAI, Gemini, Perplexity, Claude, Ollama, and Grok.
- Experience with MLOps practices for model deployment and lifecycle management.
- Proven experience with cloud platforms (AWS, GCP, Azure) and database technologies (NoSQL, PostgreSQL, MongoDB).
- Understanding of DevOps, CI/CD pipelines, Docker, and Kubernetes.
- Experience in eCommerce, Digital Commerce, or Digital Banking domains is preferred.
- Bachelors degree in Computer Science is required; a Masters degree is preferred.
- Excellent verbal and written communication skills, with strong interpersonal and leadership abilities.
Qualifications Experience:
- Minimum 4 years of overall development experience, with at least 2+ years focused on Generative AIbased application development.
- Proficiency in Python or JavaScript for AI application development.
- Hands-on experience with LLM platforms: OpenAI, Gemini, Perplexity, Claude, Ollama, and Grok.
- Experience with MLOps practices for model deployment and lifecycle management.
- Proven experience with cloud platforms (AWS, GCP, Azure) and database technologies (NoSQL, PostgreSQL, MongoDB).
- Understanding of DevOps, CI/CD pipelines, Docker, and Kubernetes.
- Experience in eCommerce, Digital Commerce, or Digital Banking domains is preferred.
- Bachelors degree in Computer Science is required; a Masters degree is preferred.
- Excellent verbal and written communication skills, with strong interpersonal and leadership abilities.
This job is provided by Shine.com
