Agentic-AI | Machine Learning

9 hours ago

Gurgaon, Haryana, India AI-Data Value Info Com-Tech Alliance Full time ₹ 12,00,000 - ₹ 25,00,000 per year

Company Description

AI-Data Value Info Com-Tech Alliance is a strategic advisory collective specializing in Advanced AI Engineering, Data Protection, Cyber Law, and Technology Compliance. We assist technology ventures in navigating the complex intersections of AI innovation, data governance, and international regulatory standards like the EU AI Act, GDPR, HIPAA, and more. With over 10 years of expertise, we provide robust solutions for technology law, corporate cybercrime, and digital fraud defense, ensuring market trust and legal compliance. Our mission is to help AI-driven enterprises scale securely and transparently across global markets by embedding compliance and security into their technology lifecycles.

Role Description

This is a full-time, on-site role based in Gurugram for a Machine Learning (ML) Architect at Agentic-AI. The ML Architect will design, develop, and deploy ML models and systems, leveraging advanced frameworks like PyTorch, LangChain, and Generative AI technologies. Responsibilities include creating scalable ML pipelines, integrating AI solutions into enterprise environments, and ensuring alignment with legal, ethical, and global compliance standards. The ML Architect will actively collaborate with cross-functional teams to develop innovative, secure, and efficient AI-powered tools.

Qualifications

  • Advanced knowledge and hands-on experience with machine learning frameworks and tools such as PyTorch, TensorFlow, and LangChain
  • Proficiency in developing and deploying ML models, Generative AI applications, and scalable AI pipelines
  • Strong understanding of data governance, compliance regulations like GDPR, DPDP, HIPAA, and AI-related legal frameworks, including the EU AI Act
  • Expertise in integrating AI and ML solutions into enterprise-level environments securely and efficiently
  • Strong analytical, problem-solving, and communication skills to collaborate with multidisciplinary teams
  • Experience in handling sensitive data with adherence to industry certifications such as SOC 2 and ISO 27001
  • A degree in Computer Science, Data Science, or a related field with a focus on AI/ML, or equivalent professional experience

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