Machine Learning Architect

2 days ago

Bengaluru Chennai Hyderabad, India ti Steps Full time ₹ 15,00,000 - ₹ 30,00,000 per year

About the Role:

We are seeking an experienced Machine Learning Architect to design, implement, and scale advanced AI/ML systems that power data-driven decision-making and intelligent automation.

Key Responsibilities:

Architecture & Design

  • Design and own end-to-end machine learning system architectures, from data ingestion to model deployment and monitoring.
  • Define ML infrastructure standards, frameworks, and best practices for scalable model development.
  • Collaborate with Data Engineers, MLOps Engineers, and Data Scientists to ensure seamless integration of ML models into production environments.
  • Architect real-time and batch inference systems using modern ML frameworks and cloud technologies.
  • Establish governance frameworks for model lifecycle management, data versioning, and reproducibility.

Development & Deployment

  • Lead the design, development, and optimization of machine learning models and pipelines.
  • Implement CI/CD and MLOps practices for continuous integration, model retraining, and automated deployment.
  • Optimize model performance, scalability, and cost-effectiveness on cloud platforms (AWS, Azure, GCP).
  • Ensure robust data preprocessing, feature engineering, and feature store design.

Monitoring & Governance

  • Implement model monitoring, drift detection, and automated retraining pipelines.
  • Ensure compliance with data privacy, security, and ethical AI guidelines.
  • Collaborate with stakeholders to define and maintain documentation, audit trails, and explainability standards.

Preferred Skills:

  • Experience designing LLM (Large Language Model) architectures and fine-tuning foundation models.
  • Knowledge of vector databases (Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) pipelines.
  • Familiarity with edge AI, real-time inference, and streaming data architectures (Kafka, Flink).

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