Full Stack AI/ML Developer

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 React.js (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, React.js (or Angular/Vue).
• Strong backend expertise: Node.js, 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: ₹456,000.00 - ₹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 : 2 years (Required)

Work Location: In person