
Senior Ai Solutions Architect
2 days ago
We are seeking a seasoned Ai Solutions Architect to spearhead the design, development, and deployment of large-scale Ai initiatives.
The ideal candidate will bridge the gap between business objectives and technical implementation, with deep expertise in generative Ai and modern MLOps practices.
Main Responsibilities:
- Design and architect end-to-end Ai systems leveraging large language models and generative Ai technologies
- Develop scalable, production-ready Ai applications that meet business requirements and performance standards
- Evaluate and integrate LLM APIs from leading providers (OpenAi, Anthropic Claude, Google Gemini)
- Establish best practices for prompt engineering, model selection, and Ai system optimization
- Model Development & Fine-tuning
- Fine-tune open-source models (Llama, Mistral) for specific business use cases
- Implement custom training pipelines and evaluation frameworks
- Optimize model performance, latency, and cost for production environments
- Stay current with latest model architectures and fine-tuning techniques
- Infrastructure & Deployment
- Deploy and manage Ai models at enterprise scale using containerization (Docker) and orchestration (Kubernetes)
- Build robust, scalable Api's using FastApi and similar frameworks
- Design and implement MLOps pipelines for model versioning, monitoring, and continuous deployment
- Ensure high availability, security, and performance of Ai systems in production
- Business & Technical Leadership
- Collaborate with stakeholders to understand business problems and translate them into technical requirements
- Provide technical guidance and mentorship to development teams
- Conduct feasibility assessments and technical due diligence for Ai initiatives
- Create technical documentation, architectural diagrams, and implementation roadmaps
Key Qualifications:
- Experience
- 7+ years of experience in machine learning engineering or data science
- Proven track record of delivering large-scale ML solutions
- Technical Skills
- Expert-level proficiency with LLM APIs (OpenAi, Claude, Gemini)
- Hands-on experience fine-tuning transformer models (Llama, Mistral)
- Strong proficiency in FastApi, Docker, and Kubernetes
- Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers)
- Proficiency in Python and modern software development practices
- Experience with cloud platforms (AWS, GCP, or Azure) and their Ai/ML services
- Core Competencies
- Strong understanding of transformer architectures, attention mechanisms, and modern NLP techniques
- Experience with MLOps tools and practices (model versioning, monitoring, CI/CD)
- Ability to translate complex business requirements into technical solutions
- Strong problem-solving skills and architectural thinking
Benefits:
- Opportunity to work on cutting-edge Ai projects
- Collaborative and dynamic work environment
- Professional growth and development opportunities
About Us:
- We are a company that values innovation and excellence
- We strive to create a positive and inclusive work environment
- We offer competitive compensation and benefits packages
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