Agentic AI & ML Engineer Senior

Job Description

Company Description AI-Data Value Info Com-Tech Alliance is a strategic advisory group specializing in Advanced AI Engineering, Data Protection, Cyber Crime Law, and Global Technology Compliance. The organization assists technology ventures in navigating the intersections of AI innovation, data governance, and international regulatory standards. With expertise in Generative AI frameworks like LangChain, RAG, and PyTorch, along with regulatory expertise in GDPR, the EU AI Act, and HIPAA, the company focuses on enabling AI-driven enterprises to scale securely and compliantly. For over 10 years, the Alliance has also provided expert legal and technical support for digital fraud defense, intellectual property protection, and complex cyber crime cases. Its mission is to ensure that innovation thrives responsibly in the evolving digital ecosystem. Role Description This is a full-time on-site position located in New Delhi for an Agentic AI & ML Engineer Senior role. The individual will focus on designing and implementing scalable AI and machine learning solutions. Responsibilities include developing and optimizing algorithms, enhancing pattern recognition systems, and collaborating on innovative neural network architectures. The role will also involve conducting in-depth statistical analysis, contributing to cutting-edge AI projects, and ensuring alignment with global data protection and compliance standards. Qualifications Proficiency in Pattern Recognition and Neural Networks, with experience in designing and training advanced models Solid understanding of Computer Science principles, including algorithms and data structures Strong foundation in Statistics, with the ability to analyze data effectively and apply statistical methodologies Proficiency in developing and optimizing Algorithms related to AI and machine learning applications Experience in applying machine learning techniques to real-world problems Master?s or Ph.D. in Computer Science, Data Science, or a related field is preferred Familiarity with AI frameworks like TensorFlow and PyTorch is a plus Ability to work collaboratively in an interdisciplinary and regulated environment Strong communication and problem-solving skills