Full Stack AI/ML Developer
2 days ago
About the Role
As a Full Stack AI/ML Developer, you will work closely with data scientists, engineers, and product teams to deploy machine learning models into production-ready systems. From designing APIs to building intuitive interfaces and managing cloud deployments, you'll play a key role in end-to-end development of cutting-edge AI solutions.
Key Responsibilities
- Integrate machine learning & deep learning models into backend systems.
- Build and maintain RESTful / GraphQL APIs for real-time predictions.
- Develop responsive frontends using (or Angular/Vue).
- Design and maintain data pipelines & storage systems (SQL/NoSQL).
- Deploy, scale, and manage applications on AWS, GCP, or Azure using Docker/Kubernetes.
- Monitor system health with logging, alerting, and performance tuning.
- Collaborate in an Agile/Scrum environment with product managers, designers, and data scientists.
Qualifications
- Bachelor's/Master's in Computer Science, IT, or related field.
- 3+ years of experience as a Full Stack Engineer (Frontend + Backend).
- Proven experience with AI/ML projects or model integration.
- Strong frontend expertise: JavaScript, TypeScript, (or Angular/Vue).
- Strong backend expertise: , Python, or Java.
- Familiarity with TensorFlow, PyTorch, or other ML frameworks.
- Experience with databases like PostgreSQL, MongoDB, or similar.
- Hands-on with cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, Git, CI/CD.
- Strong problem-solving, communication, and teamwork skills.
What We Offer
- Work on real-world AI/ML solutions with tangible impact.
- Supportive, collaborative, and innovative team culture.
- On-site role in Gandhinagar – a growing tech hub.
- Continuous learning, career growth, and upskilling opportunities.
Job Type: Full-time
Pay: ₹456, ₹700,000.00 per year
Benefits:
- Flexible schedule
- Leave encashment
Application Question(s):
- What is your current notice period, and when would you be available to join if selected?
Experience:
- Relevant : 3 years (Required)
Work Location: In person
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