Company Overview
Meritorious Global is a forward-thinking technology company dedicated to delivering cutting-edge AI, machine learning, and scalable digital solutions for global clients. Our mission is to create transformative tech that solves real-world problems while fostering a culture of innovation, collaboration, and continuous growth.
About the Role
We are seeking a Full Stack AI/ML Developer with at least 3+ years of experience who can bridge the gap between machine learning research and production-ready applications. You will work closely with cross-functional teams to design, develop, and deploy intelligent systems that are scalable, efficient, and impactful. This is an onsite, full-time role based in our Gandhinagar office.
You Will Be Responsible For:
- Model Integration: Work with data scientists to integrate machine learning and deep learning models into scalable back-end architectures.
- API Development: Build and maintain RESTful or GraphQL APIs to serve model predictions and data insights.
- Frontend Engineering: Create responsive and intuitive user interfaces using modern frameworks (e.g., React, Vue, Angular).
- Cloud & DevOps: Deploy and manage applications using cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes).
- Data Handling: Develop data pipelines and storage solutions (SQL/NoSQL) to support real-time and batch processing.
- Optimization & Monitoring: Optimize model performance, ensure scalability, and set up monitoring/logging solutions for AI systems.
- Collaboration: Work closely with cross-functional teams including data scientists, product managers, designers, and other development members.
Ideal Profile:
- Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related field.
- Proven experience (3+ years) as a Full Stack Engineer (front-end & back-end) with AI/ML project experience.
- Strong proficiency in front-end technologies (TypeScript, HTML, JavaScript, React.js or similar).
- Solid back-end knowledge (Node.js, Python, Java, or similar).
- Knowledge of Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), etc.
- Stay at the forefront of LLM capabilities, prompt engineering, and emerging AI technologies.
- Understanding of multimodal AI systems (text, image, audio).
- Experience with AI frameworks/libraries (TensorFlow, PyTorch, etc.).
- Experience with cloud platforms (AWS, GCP, Azure) for deploying AI applications.
- Skilled with database management systems (PostgreSQL, MongoDB).
- Knowledge of containerization and orchestration tools.
- Understanding of software development best practices, including version control (Git) and CI/CD pipelines.
- Strong problem-solving skills and ability to work with diverse teams.
- Excellent professional written and verbal English communication skills.
- Solid understanding of Agile/Scrum methodologies.
- Passionate, career-driven, and focused on long-term growth.
