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Overview
Job Title: AI Architect
Duration: FTE/C2C - FTE Preferred
Job Summary
Educational Qualification
- Bachelor’s or master’s degree in computer science, AI/ML, Data Science, or related field
- Advanced coursework or certifications in machine learning, deep learning, or NLP
- Strong mathematical and statistical foundation
Experience Range
- 6–10 years of experience in AI/ML/Deep Learning model development
- 2-3 years Hands-on experience with LLMs, NLP, or speech/voice AI systems
- 3-5 years of experience deploying AI solutions in production environments
Primary (Must have skills) - To be Screened by TA Team
- 5+ years of experience in Python, PyTorch, TensorFlow, or similar frameworks
- 3-5 years of experience designing, training, and fine-tuning large language models or AI models
- 5 years of experience in cloud AI platforms (AWS Sagemaker, Azure ML, GCP AI)
- 2-3 years of experience Familiarity with model evaluation metrics, bias detection, and optimization
- 5 years of experience in integrating AI models into applications via APIs or pipelines
Key Responsibilities
- Design, develop, and deploy advanced AI models to meet business requirements
- Collaborate with data engineers, LLM Ops, and software teams for end-to-end solutions
- Evaluate model performance, fine-tune, and ensure scalability and reliability
- Research emerging AI/ML technologies and propose innovative solutions
- Mentor junior AI engineers and review code/models for best practices
Problem-Solving and Analytical Thinking
- Identify bottlenecks in model performance and propose solutions
- Troubleshoot deployment or integration challenges proactively
- Analyze data patterns and model outputs to derive insights
- Apply structured thinking to optimize AI workflows and pipelines
Task/Work Updates
- Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
- Provides regular updates, proactive and due diligent to carry out responsibilities
Soft skills / Other skills
To be Evaluated by Hiring Manager (to define how this will be evaluated)
Secondary Skills to be planned Post Hiring
- Advanced LLM techniques, prompt engineering, and fine-tuning strategies
- AI ethics, fairness, and responsible AI deployment
- Continuous learning on emerging AI frameworks and architectures
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
- Industries: Staffing and Recruiting
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