Technical Solutions Architect

As a Solution Architect, you will be responsible for architecting and designing end-to-end solutions using Python (Django/FastAPI/Flask), AI/ML models, and cloud-native technologies. Your role will involve leading AI/ML-driven application development, collaborating with cross-functional teams, optimizing system performance, and implementing microservices architecture with best DevOps practices. Key Responsibilities: - Architect and design end-to-end solutions using Python (Django/FastAPI/Flask), AI/ML models, and cloud-native technologies. - Lead AI/ML-driven application development, including model deployment, data pipelines, and intelligent automation. - Collaborate with data scientists, engineers, and product teams to integrate AI/ML models into scalable applications. - Optimize system performance, ensuring scalability, cost efficiency, and security. - Implement microservices architecture with APIs, containerization (Docker/Kubernetes), and event-driven design. - Drive best DevOps practices with CI/CD pipelines, MLOps, Infrastructure as Code (Terraform, CloudFormation), and automated testing. Qualification Required: - Python & Full Stack: Django, FastAPI, Flask, React, Angular, or Vue.js. - AI/ML & Data Science: TensorFlow, PyTorch, Scikit-learn, NLP, Computer Vision, or MLOps. - Cloud & DevOps: AWS, Azure, or GCP with Kubernetes & CI/CD. - Big Data & Databases: PostgreSQL, MongoDB, Redis, Snowflake, or Spark. - Architecture & Security: Microservices, API Gateway, Event-Driven Systems, and best security practices. The company is seeking individuals with 10+ years of software development experience, strong Python expertise, and at least 2 years of experience as a Solution Architect. Ideal candidates will have a proven track record in AI/ML, model deployment, data engineering, and cloud integration. If you have hands-on experience with LLMs, Generative AI, or Reinforcement Learning, expertise in GraphQL, Serverless (AWS Lambda, Firebase), and Edge AI, or experience in data engineering, real-time analytics, and feature stores, it would be considered a nice-to-have skill set. Ready to shape the future with AI-driven solutions Apply now or DM for details!,