Senior Artificial Intelligence Engineer

About Yotta Infrastructure

Yotta Data Services is India’s leading sovereign AI infrastructure, cloud platform and data centre services company, enabling enterprises, governments, startups, and digital platforms to build, deploy, and scale next-generation AI and digital workloads securely within India.

With hyperscale data centre campuses in Navi Mumbai and Greater Noida (Delhi NCR), advanced GPU-powered AI infrastructure, and a comprehensive ecosystem of cloud, AI, hosting, cybersecurity, and managed platform services, Yotta delivers high-performance, scalable, and compliant digital infrastructure built for the AI era.

Yotta is at the forefront of powering India’s sovereign AI and digital transformation journey through world-class infrastructure, deep technology partnerships, and fully India-hosted enterprise-grade platforms.

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.
• Contributing to intellectual property generation, patents, and academic publications.
• Provide technical leadership and mentorship to junior AI/ML team members.
• Collaborate cross-functionally with product managers, UX designers, and engineers to deliver AI-powered product features.
• 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.

Requirements

• 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.
• Bachelor's in 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.
• Seven plus experiences with AI-driven no-code platforms or automated code generation.

Preferred

• 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.

Certification Criteria

NA

Shifts Timing, (If rotational, please specify)

NA

Number of Interview Rounds

3 Rounds of Interview

Behavioral Attributes

• Art of skillful conversation
• Creativity & Problem Solving
• Learning on fly
• Business Acumen
• Dealing with ambiguity
• Building Trust
• Customer Focus
• Intellectual Horsepower (Functional Skills)
• Action Orientation & Accountability
• Prioritizing, Planning & organizing
• Listening, Sensing, Observing
• Building Collaborative Relationships

Company Values

• Customer Centricity
• Agility
• Integrity
• Innovation
• Trust and Transparency
• Happiness for all