Hyderabad, Telangana, India;Bangalore, Karnataka, India;Indore, Madhya Pradesh, India;Noida, Uttar Pradesh, India;Gurugram, Haryana, India;Pune, Maharashtra, India

Qualification
:
Job Overview:
Key Responsibilities:
Create architecture diagrams and design frameworks addressing scalability, cost optimization, performance, security, and enterprise adoption.
Collaborate with business and technical stakeholders to identify use cases and translate them into production-ready AI/ML and GenAI solutions.
Influence and align client VPs, Directors, and senior stakeholders on architecture decisions, roadmaps, and solution approaches.
Architect and implement data pipelines and feature engineering frameworks for structured and unstructured data.
Design and oversee the full ML lifecycle, including data preparation, model development, evaluation, deployment, and monitoring.
Drive adoption of MLOps and LLMOps practices, including CI/CD pipelines, model governance, prompt/version management, and retraining strategies.
Leverage AWS cloud services (SageMaker, Bedrock, Lambda, S3, EMR,



etc.) to build scalable AI platforms.
Design Thinking principles to ensure user-centric and business-aligned solutions.
Mentor engineering and data science teams on architecture patterns, performance optimization, and system integration.

Required Qualifications:
Bachelor's or master’s degree in computer science, Data Science, Engineering, or a related field.
12+ years of experience in software/data engineering, with at least 4+ years in AI/ML solution architecture.
Robust expertise in data engineering (ETL pipelines, data lakes/warehouses, real-time data processing).
Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and platforms (SageMaker, Azure ML, GCP AI).
Deep understanding of MLOps principles and tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).
Proficient in cloud platforms: AWS, Azure, or GCP. Robust problem-solving and communication sk

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