Senior Backend Developer FAST API AND MI /DL

Job Description: Senior Backend Developer (FastAPI, MLOps, Cloud)

Location: Gurugram, Haryana
Work Mode: Work from Office (6 Days a Week)
Interview Mode: In-person interview at Gurugram office
Experience: 4–8+ Years
Role Type: Full-Time, Long-Term

About the Role

We are looking for a highly skilled Senior Backend Developer with strong expertise in FastAPI, Docker, CI/CD pipelines, and WebSockets, along with solid exposure to AI/ML, Deep Learning, and MLOps. The candidate will play a key role in building scalable backend systems, real-time services, and AI-driven platforms.

This is a hands-on senior role requiring strong ownership, architecture understanding, and the ability to work closely with AI, frontend, and DevOps teams.

Key Responsibilities

• Design, develop, and maintain high-performance backend services using FastAPI (must-have) and Python.
• Build and manage real-time applications using WebSockets.
• Design and maintain CI/CD pipelines for automated build, testing, and deployment.
• Containerize applications using Docker and manage deployments.
• Work on microservices-based architecture and RESTful APIs.
• Integrate backend systems with AI/ML/DL models for production use.
• Implement and manage MLOps workflows (model versioning, deployment, monitoring, retraining pipelines).
• Collaborate with AI/ML teams to productionize models.
• Deploy and manage applications on AWS and Azure cloud platforms.
• Ensure system scalability, security, performance optimization, and reliability.
• Mentor junior developers and coordinate with cross-functional teams.
• Participate actively in architectural decisions and code reviews.

Mandatory Skills (Must-Have)

• Strong proficiency in Python.
• FastAPI – Mandatory (production-level experience required).
• Experience with WebSockets for real-time data handling.
• Hands-on experience with Docker and containerized deployments.
• Strong knowledge of CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).
• Experience working with AWS and Azure cloud services.
• Solid understanding of backend architecture, APIs, and databases.

AI / ML / MLOps Requirements

• Working knowledge of AI, Machine Learning, and Deep Learning concepts.
• Experience deploying ML/DL models into production environments.
• Hands-on exposure to MLOps tools and practices (model lifecycle management, monitoring, pipelines).
• Understanding of data pipelines, inference services, and performance monitoring.

Good to Have

• Experience with Django or other Python frameworks.
• Knowledge of Kubernetes.
• Experience with message queues (Kafka, RabbitMQ, Redis).
• Exposure to vector databases and AI-driven APIs.
• Experience in handling high-load or real-time systems.

Candidate Profile

• Senior, result-oriented, and self-driven.
• Strong problem-solving and debugging skills.
• Ability to work from office 6 days a week.
• Willing to coordinate closely with teams and take ownership of deliverables.
• Comfortable working in fast-paced, AI-driven environments.

What We Offer

• Opportunity to work on cutting-edge AI and backend systems.
• Long-term role with growth opportunities.
• Performance-based bonuses for deserving candidates.
• Exposure to enterprise and government-level AI projects.

Note: Only candidates willing to work from the Gurugram office and attend in-person interviews should apply.

Job Types: Full-time, Permanent

Pay: ₹431,352.88 - ₹1,748,275.50 per year

Work Location: In person