[About Yotta](https://yotta.com/)
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.
Job Scope
Research, design, and development of advanced AI and ML models powering a cuttingedge 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.
Total /Relevant Experience
Five plus experience with AI-driven no-code platforms or automated code generation.
- 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.
Must-have skill
- 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.
Good-to-Have Skills
- 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.
Qualifications Criteria
- 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.
Certification Criteria
Shifts Timing, (If rotational, please specify)
Number of Interview Rounds
Name of interviewer
3 Rounds of Interview
Behavioral Attributes:
- Art of skillful conversation
- Creativity & Problem Solving
- Intellectual Horsepower (Functional Skills)
- Action Orientation & Accountability
- Prioritizing, Planning & organizing
- Listening, Sensing, Observing
- Building Collaborative Relationships
