Associate Architect Python

Job highlights

• Nice to Have: . Hands-on experience with LLMs,Generative AI,or Reinforcement Learning.
• Experience with data engineering,real-time analytics,and feature stores

Associate Architect Python to design and implement scalable, high-performance AI-driven applications using the latest technologies in Python, cloud, and machine learning. The ideal candidate will have a strong background in Python development, excellent leadership skills, and a passion for mentoring and guiding team members.

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.

Required Qualifications:

• 12+ years in software development with strong Python expertise, including full-stack development.
• 2+ years of experience as a Technical Architect- Python, with demonstrated success in leading and delivering enterprise-level projects.
• Strong AI/ML experience, specifically in model deployment, data engineering, and cloud integration
• 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.

Nice to Have:

• 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.

What Company Offers:

Excellent career growth opportunities and exposure to multiple technologies. Fixed weekday day schedule, meaning, you ll have your weekends off! Family Medical Insurance. Unique leave benefits and encashment options based on performance. Long term growth opportunities Fun family environment surrounded by experienced developers. Various internal employee rewards programs based on Performance. Opportunities for various other Bonus programs - for training hours taken, certifications, special value to business through idea and innovation. Work life Balance - flexible work timings, early out Fridays, various social and cultural activities Company Sponsored International Tours.