Technical Solutions Architect

Python expert

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

  .

Must-Have Skills:

• 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.

Ideal Experience Level:

• 10+ years

  in

  software development

  with strong Python expertise, including full-stack development.

• 2+ years

  of experience as a

  Solution Architect

  , with demonstrated success in leading and delivering enterprise-level projects.
• Strong

  AI/ML

  experience, specifically in

  model deployment

  ,

  data engineering

  , and

  cloud integration

  .

Nice-to-Have Skills:

• Hands-on experience with

  LLMs, Generative AI, or Reinforcement Learning

  .
• Expertise in

  GraphQL, Serverless (AWS Lambda, Firebase), and Edge AI

  .
• Experience with

  data engineering, real-time analytics, and feature stores

  .

Ready