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AI/ML Engineer

ChicMic StudiosPB, IN23h ago
Full-timevia indeed

Required Skills

apiawsazurecelerydockerfastapigcpkafkakubernetespostgresqlpythonredisrest

Job Description

  • *Experience Required:** 3\-8 Years
  • *No. of vacancies:** 2
  • *Job Type:** Full Time
  • *Vacancy Role:** WFO
  • *Job Category:** Development
  • *Job Description**
  • *We are looking for a Senior Python Developer to build and scale a production\-grade AI\-powered platform focused on image understanding, scene reconstruction, and automated media generation. This is a backend\-heavy role requiring strong expertise in system design, asynchronous processing, and scalable API development. You will work closely with AI/ML, frontend, and DevOps teams to deliver high\-performance systems that power object detection, segmentation, and 3D reconstruction pipelines.**
  • *Roles \& Responsibilities**
  • **Design and develop scalable backend services and APIs using FastAPI**
  • **Build modular, maintainable systems with clear service contracts and abstractions**
  • **Implement asynchronous processing pipelines for compute\-heavy AI workloads**
  • **Design and manage job queues (Celery, RQ, or similar) and integrate Redis**
  • **Handle long\-running and GPU\-based tasks**
  • **Work with PostgreSQL and integrate object storage (S3 or equivalent)**
  • **Integrate and productionize ML models**
  • **Optimize inference pipelines for latency, batching, and throughput**
  • **Ensure system reliability with retries, fallbacks, and monitoring**
  • **Collaborate with Data Science, Frontend, and DevOps team**
  • *Qualifications**
  • **3\+ years of Python development experience**
  • **Hands\-on experience with FastAPI and REST APIs**
  • **Strong understanding of async programming and scalable systems**
  • **Experience with Redis and queue systems (Celery, RQ, Kafka)**
  • **Strong PostgreSQL experience**
  • **Experience with Docker (mandatory); Kubernetes is a plus**
  • **Familiarity with AWS, GCP, or Azure**
  • **Exposure to AI/ML pipelines (YOLO, DETR, SAM, etc.)**
  • **Experience deploying ML models in production**
  • **Understanding of GPU workloads and optimization**
  • **Background in image/video processing or real\-time systems**
  • **Strong problem\-solving and system design mindset**
  • **Ability to handle real\-world scale and unstructured data**
  • **Experience in AI\-integrated backend system**

Pay: ₹700,000\.00 \- ₹1,700,000\.00 per year

Benefits

  • Flexible schedule
  • Leave encashment
  • Provident Fund

Work Location: In person

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Job Overview

Job type
Full-time
Work mode
On-site
Location
Chandigarh
Posted
23h ago
Source
Indeed