Senior Artificial Intelligence Engineer

5 days ago

Mumbai, IndiaSenior

Responsibilities

Design and implement machine learning and deep learning models for NLP, computer vision, generative AI, no-code AI coding, and AI orchestration platforms.
Develop, optimize, and fine-tune large-scale transformer-based and generative models.
Architect and manage end-to-end ML pipelines covering data processing, training, evaluation, deployment, and continuous monitoring.
Collaborate with software engineering teams to productionize models for reliability, scalability, and performance.
Research and integrate advanced AI techniques and algorithms into product capabilities.
Contribute to intellectual property, patents, and academic publications.
Provide technical leadership and mentorship to junior AI/ML team members.
Work cross-functionally with product managers, UX designers, and engineers to deliver AI-powered features.
Maintain knowledge of AI research trends and assess their applicability.
Ensure compliance with data privacy and security standards in AI model development.

Seven-plus years of experience with AI-driven no-code platforms or automated code generation.
Bachelor's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field, with specialization in Artificial Intelligence, Machine Learning, or Deep Learning.
Experience with AI-driven no-code platforms or automated code generation.
Familiarity with AI workflow orchestration frameworks such as LangChain and Crew AI.
Knowledge of probabilistic modeling and uncertainty quantification.
Hands-on experience with MLOps tools and practices, including model versioning and monitoring.
Demonstrated experience developing and deploying deep learning models using transformers, CNNs, RNNs, GNNs, and generative AI models.
Strong research publication record in AI/ML conferences such as NeurIPS, ICML, ICLR, CVPR, or ACL.
Familiarity with cloud platforms and container orchestration.
Understanding of AI ethics and data privacy compliance, including GDPR and SOC 2.
Open-source AI contributions, patent filings, or a strong academic research background with top-tier AI/ML publications are advantageous.