Artificial Intelligence Specialist

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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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