Job Details

Roles & Responsibilities
- Architect end-to-end ML systems covering data ingestion, feature engineering, model training, deployment, and monitoring.
- Design scalable ML pipelines for classical ML, deep learning, and GenAI workloads including LLMs, RAG, embeddings, and semantic search.
- Select optimal algorithms, frameworks, and cloud platforms to address complex business and technical challenges.
- Implement model optimization strategies such as quantization, pruning, distillation, and LoRA/QLoRA fine-tuning.
- Build LLM-powered solutions using prompt engineering, knowledge grounding, agents, and retrieval-augmented generation.
- Work with top LLMs (GPT-4/5, Llama 3/3.5, Qwen, Claude, Gemini) and integrate vector DBs like Pinecone, Weaviate, Chroma, Milvus.
- Evaluate and improve LLM and ML model performance, reduce hallucinations, and ensure security and compliance.
- Lead development of ML, NLP, NER, and deep learning models using Transformers, CNNs, XGBoost, and other advanced architectures.
- Drive data science workflows including EDA, feature engineering,



statistical modeling, and explainability (SHAP/LIME).
- Architect MLOps pipelines (CI/CD/CT), enabling model versioning, monitoring, drift detection, and automated retraining.
- Deploy models at scale using Kubernetes, Docker, Terraform, serverless components, and GPU-based environments with robust observability.
- Collaborate with cross-functional teams, lead technical discussions and POCs, and mentor ML/AI teams to deliver enterprise-grade solutions.

Job Description

We are seeking a highly experienced ML/AI Architect to design, build, and scale enterprise-grade AI/ML and GenAI solutions within our Digital Transformation Practice. The role requires strong technical leadership across ML system architecture, LLM-based solution design, MLOps automation, and cloud-native data engineering. The ideal candidate will drive innovation, establish best practices, and deliver production-ready AI solution

📌 AI ML Architect (Bengaluru)
🏢 Infovision labs
📍 Bengaluru