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.
- Strong 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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