Senior AI / ML Architect

Greetings from CriticalRiver Technologies!

Role: Senior AI / ML Architect

Experience: 10+ Years
Location: Hyderabad (Hybrid)
Notice Period: Immediate to 30 Days Preferred

Hurry up - Interested candidate, please share your updated soft copy of resume to [email removed]

Job Criteria: Mandatory Skills (Non-Negotiable)

LLM Training & Fine-Tuning

• Strong hands-on experience with PyTorch and Hugging Face Transformers
• Proven experience in training and fine-tuning Large Language Models (LLMs) using domain-specific datasets
• Strong expertise in LoRA and QLoRA
• Experience with PEFT, SFT, TRL, Accelerate frameworks
• Hands-on experience with open-source models such as Llama, Qwen, Mistral/Mixtral, Gemma, DeepSeek, or Phi
• Strong understanding of model training, hyperparameter tuning, GPU utilization, model evaluation, and optimization

Cloud Deployment & Model Serving

• Experience deploying and hosting AI/ML models on AWS, Azure, or GCP
• Hands-on experience with Docker and Kubernetes
• Experience working with GPU-based infrastructure
• Experience with model serving frameworks such as vLLM, SGLang, TensorRT-LLM, or TGI
• Ability to design and manage scalable production-grade AI platforms

MLOps & Model Lifecycle Management

• Strong experience implementing end-to-end MLOps pipelines
• Hands-on experience with MLflow, W&B, CI/CD, Model Registry, Version Control
• Experience in automated training, deployment, monitoring, retraining, and rollback strategies
• Strong understanding of production model monitoring and governance

Good to Have

• Python & SQL
• Spark / Databricks
• LLM Evaluation & LLM-as-Judge
• RAG, Vector Databases, Agentic AI, MCP
• Quantization (GPTQ, AWQ, FP8, BitsAndBytes)
• GPU performance and cost optimization
• Multimodal AI Models