- BE/B.Tech with AI/ML specialization, strong Python, RAG architecture, REST APIs, Docker, FastAPI/Flask skills
- Develop AI/ML applications, build RAG-based solutions, integrate REST APIs, containerize with Docker, collaborate on testing and deployment
- CTC ₹4-6 LPA with 2-year service agreement
Hiring for a client Candidates with strong Python programming skills, knowledge of AI/ML concepts, and an understanding of Retrieval-Augmented Generation (RAG) are encouraged to apply.
Application Form https://docs.google.com/forms/d/e/1FAIpQLSfcdlxVgzFTo9Q81hVi-3fMVAjOwZsi8uASFpzcEd4HBPifaw/viewform
Job Details
- Role: AI Engineer
- Job Track: AI/ML
- Job Type: Full-Time
- Location: Mumbai / Pune
- CTC: 4-6 LPA
- Service Agreement: 2 years
- Working Days: 5 days a week
- Work Timings: 11:00 AM8:00 PM IST or 12:00 PM9:00 PM IST
- Interview Mode: Online and Offline
- Open Positions: 5
Eligibility Criteria
- BE/B.Tech graduates.
- Minimum 70% marks in 10th, Intermediate, and the highest degree.
- Candidates with an AI/ML specialization will be preferred.
- Candidates should be located near Mumbai or Pune, or be willing to relocate to either location.
Required Technical Skills
- Robust knowledge of Python programming.
- Understanding of Artificial Intelligence and Machine Learning concepts.
- Knowledge of Retrieval-Augmented Generation (RAG) architecture.
- Familiarity with REST APIs and API integration.
- Understanding of Docker and containerization.
- Experience with FastAPI or Flask for developing backend applications.
Good to Have: Familiarity with Scikit-learn and hands-on AI/ML projects.
Roles and Responsibilities
- Develop and support AI/ML-based applications using Python.
- Work with RAG architecture to build applications that retrieve relevant information and generate context-aware responses.
- Build and integrate REST APIs using FastAPI or Flask.
- Containerize applications using Docker.
- Collaborate with the team to develop, test, and improve AI-powered solutions.
- Participate in debugging, performance optimization, and application deployment.
Interview Process
1. Introduction Video Screening
2. Online Assessment
3. Two Technical Interview Rounds (Virtual MS Teams)
4. HR Round (Face-to-Face)
5. Co-Founder Round (Virtual – MS Teams)
Apply now to explore this opportunity and build your career in AI/ML engineering!