Artificial Intelligence Engineer

Job Scope:

The research, design, and development of advanced AI and ML models powering a cutting-edge AI-driven no-code development platform and a scalable AI inference and training orchestration system. Responsible for building scalable ML pipelines, optimizing models for production, mentoring team members, and translating research innovations into impactful product features aligned with business goals.

Job Responsibilities:

• Design and implement state-of-the-art machine learning and deep learning models for NLP, computer vision, and generative AI relevant to no-code AI coding and AI orchestration platforms.
• Develop, optimize, and fine-tune large-scale models, including transformer based architectures and generative models.
• Architect and manage end-to-end machine learning pipelines: data processing, training, evaluation, deployment, and continuous monitoring.
• Collaborate closely with software engineering teams to productionize models ensuring reliability, scalability, and performance.
• Research and integrate cutting-edge AI techniques and algorithms to maintain product competitiveness.
• Maintain up-to-date knowledge of AI research trends and technologies, assessing their applicability.
• Ensure compliance with data privacy and security standards in AI model development.

Good to have skills:

• Experience with AI-driven no-code platforms or automated code generation.
• Familiarity with AI workflow orchestration frameworks like LangChain, Crew AI, or similar.
• Knowledge of probabilistic modeling and uncertainty quantification.
• Hands-on experience with MLOps tools and practices including CI/CD, model versioning, and monitoring.
• Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).
• Contributions to open-source AI projects or patent filings.
• Understanding of AI ethics, data privacy (GDPR, SOC2) compliance.
• Strong academic research background with publications in top-tier AI/ML conferences.

Qualification and Experience:

• B.E/ B.Tech, Computer Science, Electrical Engineering, Statistics, Mathematics, or related fields with a specialization in Artificial Intelligence, Machine Learning, or Deep Learning.
• Strong research publication record in reputed AI/ML conferences (NeurIPS, ICML, ICLR, CVPR, ACL).
• Demonstrated experience in developing and deploying deep learning models including transformers, CNNs, RNNs, GNNs, and generative AI models.
• Proven skills in NLP and/or computer vision.
• Hands-on experience with Python and ML frameworks such as PyTorch, TensorFlow, JAX.
• Experience building scalable ML pipelines and applying MLOps best practices.
• Knowledge of distributed training, GPU acceleration, and cloud infrastructure is highly desirable.
• Excellent problem-solving, analytical, and communication skills.