
AI Visionary
2 days ago
Job Title: Ambitious AI Architect
We are looking for a skilled and experienced AI Architect to lead our team in developing innovative machine learning solutions. As an AI Architect, you will be responsible for designing, building, and deploying large-scale machine learning models that can autonomously perform tasks with minimal human intervention.
The ideal candidate will have expertise in cutting-edge AI technologies, including generative AI, deep learning, NLP, and reinforcement learning. You will work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions.
Your key responsibilities will include:
- Designing and developing agentic AI systems that automate business processes
- Fine-tuning large-scale pre-trained models using techniques like PEFT, SFT, and adapting them for specific applications and domains
- Prompt engineering to enhance model responses, ensuring that model outputs align with use case requirements
- Building end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments
- Collaborating with cross-functional teams to define AI product requirements and deliver innovative solutions
- Staying current with the latest research and developments in generative AI, deep learning, NLP, and related fields
- Deploying machine learning models at scale, optimizing for latency, throughput, and robustness in production environments
You will be working on projects that involve:
- Large-scale data processing and optimization techniques
- Model deployment and scaling in production environments
- Research and development of new AI technologies and applications
To succeed in this role, you will need:
- At least 5+ years of hands-on experience in machine learning and AI engineering
- Proven track record in working with LLMs such as Llama, Mistral, and models like GPT, BERT, T5, or similar
- Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows
- Strong experience in prompt engineering to optimize AI model performance
- Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks
- 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
We offer a dynamic and supportive work environment, opportunities for professional growth and development, and a competitive compensation package.
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