Agentic AI / Machine Learning (ML) Engineer

0 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Company Description

AI-Data Value Info Com-Tech Alliance is a strategic advisory organization specializing in Advanced AI Engineering, Data Protection, Cyber Crime Law, and Global Tech Compliance. We provide guidance to technology ventures, helping them navigate the intersection of AI innovation and international regulatory standards such as GDPR, HIPAA, and the EU AI Act. With over a decade of experience, the Alliance offers expertise in generative AI frameworks like LangChain, RAG, and PyTorch. Our mission is to enable AI-driven businesses to scale securely and transparently while embedding compliance and security protocols into technology workflows. Based in the rapidly evolving digital landscape, we ensure our clients maintain trust and market access globally while addressing complex legal and cybersecurity challenges.

Role Description

This is a full-time, on-site role for an Agentic AI/Machine Learning (ML) Engineer based in Gurugram. Responsibilities include designing, developing, and deploying advanced AI/ML models and algorithms to address complex challenges. The role involves collaborating with cross-functional teams to integrate AI-driven solutions, optimizing ML model performance, and ensuring alignment with global AI governance and regulatory compliance requirements. Candidates will also contribute to the development of AI pipelines, deploy generative AI workflows, and ensure security and transparency in AI-driven processes.

Qualifications

  • Expertise in Machine Learning algorithms, Generative AI frameworks (e.g., LangChain, RAG, PyTorch), and data modeling techniques
  • Experience in deploying AI/ML pipelines and optimizing system performance
  • Deep understanding of data governance, global compliance standards (e.g., GDPR, HIPAA, EU AI Act), and regulatory alignment
  • Proficiency in programming languages such as Python, TensorFlow, or similar frameworks
  • Knowledge of cybersecurity, data protection, and digital risk management
  • Strong problem-solving, critical thinking, and analytical skills
  • Bachelor’s or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
  • Experience with managing AI-driven solutions in enterprise environments preferred

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