AI/Ml Engineer _ Foundation AI MODEL

Company Description Fin100X.AI is an Indian AI company building sovereign intelligence infrastructure for governance, welfare, financial intelligence, and the public sector. Its flagship initiative, Maha AI, develops governance-specific AI capabilities that turn complex data into explainable, auditable, and outcome-focused insights for decision-makers. The platform brings together domain expertise, AI orchestration, retrieval-augmented generation (RAG), responsible AI practices, and secure deployment architectures to support public administration and citizen services. Guided by principles of human oversight, transparency, and auditability, Fin100X.AI aligns closely with India’s digital transformation and AI sovereignty goals. The company’s long-term vision is to power trusted public-sector innovation in India and expand globally with sovereign AI solutions for governments and public institutions.
Role Description This is a full-time, on-site AI/ML Engineer – Foundation AI Model role based in Mumbai. The role involves designing, training, and optimizing foundation models and neural network architectures tailored to governance, welfare, and financial intelligence use cases. The AI/ML Engineer will work on data preprocessing, feature engineering, pattern recognition, and model evaluation, ensuring robustness, fairness, and explainability. Day-to-day tasks include implementing algorithms, experimenting with new architectures, collaborating with domain experts, and deploying models within secure, scalable systems. The role also includes documenting methodologies, participating in code reviews, and aligning solutions with responsible AI and regulatory expectations.
Qualifications

• Strong foundation in Computer Science, including data structures, algorithms, and software engineering principles.
• Applied expertise in Neural Networks and modern deep learning architectures for large-scale or foundation models.
• Proficiency in Pattern Recognition for complex, real-world datasets across governance and financial domains.
• Solid understanding of Statistics for model evaluation, hypothesis testing, and performance analysis.
• Ability to design and implement efficient Algorithms for training, inference, and optimization of AI systems.
• Hands-on experience with Python and common ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX) and MLOps tooling.
• Experience with RAG, LLMs, or foundation models, and familiarity with responsible AI practices and model governance.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related technical field.
• Ability to collaborate with multidisciplinary teams, communicate technical concepts clearly, and work on-site in Mumbai.