Chief Artificial Intelligence Solutions Designer
5 days ago
We are seeking an experienced AI Solutions Architect to join our team.
The ideal candidate will have expertise in cutting-edge AI technologies and the ability to design, develop, and deploy AI solutions that can autonomously perform tasks with minimal human intervention.
The successful candidate will work closely with cross-functional teams to define AI product requirements and deliver innovative solutions.
- Agentic AI Development: Design, develop, and optimize domain adaptive agentic AI systems that automate business processes
- LLM Fine-Tuning: Work with large-scale pre-trained models to fine-tune with techniques like PEFT, SFT, and adapt them for specific applications and domains
- Prompt Engineering: Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs align with use case requirements
- AI Workflow Automation: Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments
- Collaboration with Cross-functional Teams: Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions
- Research & Development: Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure the organization stays at the forefront of technology
- Scaling and Deployment: Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments
- Documentation & Reporting: Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders
Required Skills:
Technical Skills:
- Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks
- Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar
- Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models
- Experience with NLP tasks, such as text classification, text generation, summarization, and question answering
- Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks
- Familiarity with SDLC life cycle, data processing tools (e.g., Pandas, NumPy, etc.) and version control (e.g., Git)
Soft Skills:
- Strong problem-solving and analytical skills
- Excellent communication and teamwork abilities to collaborate with stakeholders
- Ability to work independently and drive projects to completion with minimal supervision
Preferred Skills & Qualifications:
- Experience in deploying AI models at scale in production environments
- Expertise in large-scale data processing, optimization techniques, and model deployment
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