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Tier‑1 brand, mid‑level ML role, metro location, and broad skill requirements increase competition.
Core ML skills are transferable, but legal-technology and low-code integration requirements add moderate domain specificity.
Explicit 2–5 years requirement plus ML, Python, and integration skills imply moderate shortlisting strictness.
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Implement machine learning algorithms including model training and deployment management for products.
Design and manage data pipelines, develop low-code AI-driven applications, and support integration engineering using Python and RESTful APIs.
Collaborate with legal and technology stakeholders to translate requirements, ensure data governance, and contribute to innovation with documentation and patents.
Bachelor's degree preferred; candidates with related coursework and professional experience may be considered.
2-5 years of relevant work experience in machine learning, software development, or integration engineering.
Proficiency in AI-assisted development tools (e.g., GitHub Copilot), Python programming, RESTful APIs, and legal technology platforms.
Alignment with data governance, security, privacy, and compliance requirements, especially handling sensitive legal information.
Experienced in AI-driven development and low-code application building with strong software engineering practices.
Skilled in designing and supporting integrations in legal technology environments involving contract lifecycle, document management, and e-signature platforms.
Able to work cross-functionally with legal, legal operations, and technology teams to translate business needs into technical solutions, adhering to agile methodologies.