AI Solution Architect I

Experience: Not Available to Not Available years

Location: Gautam Buddha Nagar, India

Skills: AI/ML Development, TensorFlow, Keras, PyTorch, Scikit-learn, Spark ML, Python, R, Spark, Pandas, NumPy, PySpark, Google Cloud Platform, Vertex AI, BigQuery, AWS, Azure, CI/CD, Docker, Kubernetes, Statistical Analysis, Data-driven decision-making, supervised learning, unsupervised learning, reinforcement learning

Job Summary
Experienced AIML Architect to design and implement cutting-edge AI/ML solutions leveraging Google Cloud Platform (GCP) and other modern technologies. The ideal candidate will have robust expertise in building scalable models, deploying them in production, and driving innovation across multiple industry verticals.

Key Responsibilities
• Design and implement AI/ML solutions for complex business problems across domains like Banking, Finance, Telecom, Retail, and Technology.
• Develop and optimize Machine Learning and Deep Learning models using frameworks such as TensorFlow, Keras, PyTorch.
• Build and maintain scalable data pipelines and ML workflows using Python, Spark, PySpark, and GCP services.
• Deploy and monitor models on public cloud platforms (AWS/Azure/GCP), with hands-on experience in Vertex AI, BigQuery, Cloud Composer.
• Transform prototypes into robust,



production-ready solutions.
• Implement CI/CD principles for ML Ops, ensuring seamless integration and deployment.
• Work with containerization and orchestration tools like Docker and Kubernetes.
• Apply advanced statistical analysis, text mining, and machine log processing techniques.
• Collaborate with cross-functional teams to ensure alignment with business goals.

Skill Requirements
Technical/Functional Skills:
• AI/ML Development: TensorFlow, Keras, PyTorch, Scikit-learn, Spark ML.
• Programming: Python (expert), R (working knowledge), Spark.
• Data Handling: Pandas, NumPy, PySpark.
• Cloud Platforms: Google Cloud Platform (Vertex AI, BigQuery, AI/ML services), AWS/Azure experience is a plus.
• ML Ops: CI/CD pipelines, model deployment, monitoring.
• Statistical Analysis: Strong foundation in statistics and data-driven decision-making.
• Domain Knowledge: Exposure to supervised, unsupervised, and reinforcement learning.

Other Requirements
Core Competencies (Soft Skills):
• Strong communication & presentation
• Analytical, client-first mindset
• Leadership & stakeholder management
• Ability to work in global, fast-paced environment.

📌 AI Solution Architect I (Noida)
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