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 |
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, speech/voice AI systems, Realtime voice pipeline
5 years of experience in cloud AI platforms (AWS Sagemaker, Azure ML, Google Cloud Platform AI)
2+ years of experience in Agentic AI frameworks such as LangChain, LangGraph, A2A, MCP, and Multi agent orchestration
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
2-3 years experience in Azure services — Azure AI Speech and Translator, Azure OpenAI, AI Search, plus Container Apps/AKS, API Management, Event Hubs, Key Vault, and Application Insights |
Key technical skills :
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 |
Advanced LLM techniques, prompt engineering, and fine-tuning strategies
AI ethics, fairness, and responsible AI deployment
Continuous learning on emerging AI frameworks and architectures
LLMOps - layered evals (WER, entity F1, COMET), CI regression gates, tracing, cost-per-minute telemetry, model routing, and drift detection. |
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