Company Overview:
At Arya AI, we are revolutionizing the BFSI sector with our cutting-edge enterprise AI solutions. Our platform empowers financial institutions to make smarter, faster, and more secure decisions using state-of-the-art AI models for decisioning, document processing, fraud detection, and more.
As pioneers in deep tech, we focus on delivering scalable, enterprise-grade AI products that blend innovation with seamless user experiences. Our mission is to create intuitive, high-performing interfaces that make AI adoption effortless and impactful for our clients, ranging from leading banks to fintech disruptors.
Arya.ai's team consists of highly experienced deep learning and machine learning researchers and data scientists. Since 2013, Arya.ai has worked with leading enterprises, such as banks, insurance companies, and financial service players, worldwide.
Role Overview:
As a Senior Research Scientist, you will drive innovation at the intersection of research, systems engineering, and real-world enterprise deployment. You'll advance our applied ML/AI capabilities, optimize models and infrastructure at scale, and guide technical roadmaps that influence the future of AI in financial services.
The ideal candidate combines strong statistical foundations, hands-on engineering skills, business intuition, and the curiosity to work on emerging paradigms such as multi-agent systems, Model Context Protocol (MCP), retrieval systems, and AI orchestration.
Responsibilities:
- Apply research expertise to improve existing ML/AI-driven products, develop new solution directions, and optimize current systems for real-world performance.
- Work across product, platform, and engineering teams to translate research into scalable AI capabilities and accelerate adoption across the company.
- Design, prototype, and evaluate advanced AI systems spanning deep learning, multimodal models, LLMs, retrieval systems, and agentic workflows.
- Contribute to the development of next-generation AI architectures, including multi-agent systems, reasoning pipelines, contextual memory, and tool-using AI systems.
- Build and maintain the research infrastructure required for training, experimentation, deployment, and benchmarking, including data pipelines, experiment tracking, evaluation frameworks, and visualization tools.
- Improve model runtime efficiency, scalability, and deployment readiness for both cloud and on-premise environments.
- Explore and implement MCP, tool orchestration, and structured system integrations that allow AI models and agents to interact with enterprise tools and workflows.
- Analyze model behavior, run experiments, benchmark results, and identify opportunities for quality, robustness, and business impact improvements.
- Influence the roadmap for AI-native products through research insights, feasibility analysis, and technical direction.
Requirements:
- Master's degree or Ph.D. in Computer Science, Engineering, AI, Machine Learning, or a related technical field.
- 3+ years of industry experience in machine learning, deep learning, AI research, or software development.
- Strong foundation in AI/ML concepts including deep learning, neural networks, computer vision, NLP, and applied data science.
- Proven experience building and scaling complex AI/ML systems in production or near-production environments.
- Familiarity with modern AI research areas such as LLMs, agentic AI, retrieval systems, multimodal models, and autonomous workflow design.
- Exposure to MCP, tool-calling systems, AI orchestration frameworks, or model-to-system integration patterns.
- Experience working with large-scale datasets, complex business systems, and cross-functional product or engineering teams.
- Strong communication and presentation skills, with the ability to explain technical concepts clearly to both business and technical stakeholders.
What You'll get:
- A competitive and meaningful compensation package
- One of the best health care plans that not only covers you but also your family
- Micro-entrepreneurial tasks and responsibilities.
- Career development and leadership opportunities
Why Us:
Financial services face some of the most demanding, mission-critical AI challenges—often underserved and unsolved. At Arya.ai, you'll:
- Work directly with global financial institutions
- Pioneer first-of-its-kind solutions in the industry
- Operate in a culture that values openness, innovation, and people
If you want to push the boundaries of applied AI in real-world, high-stakes environments, Arya.ai is the place to build.
