Architect, Applied AI Engineering
Icertis
We are seeking an experienced Python Architect with strong expertise in ML Engineering. The ideal candidate will take ownership of critical components of our product, design scalable ML systems, and mentor junior engineers. The role requires hands-on experience with containerized environments, Kubernetes, and distributed ML workflows.
Icertis is the global leader in AI-powered contract intelligence. The Icertis platform revolutionizes contract management, equipping customers with powerful insights and automation to grow revenue, control costs, mitigate risk, and ensure compliance - the pillars of business success. Today, more than one third of the Fortune 100 trust Icertis to realize the full intent of millions of commercial agreements in 90+ countries.
Who we are: Icertis is the only contract intelligence platform companies trust to keep them out in front, now and in the future. Our unwavering commitment to contract intelligence is grounded in our FORTE values—Fairness, Openness, Respect, Teamwork and Execution—which guide all our interactions with employees, customers, partners, and stakeholders. Because in our mission to be the contract intelligence platform of the world, we believe how we get there is as important as the destination.
Icertis, Inc. provides Equal Employment Opportunity to all employees and applicants for employment without regard to race, color, religion, gender identity or expression, sex, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Icertis, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to careers@icertis.com or get in touch with your recruiter.
Required Skills:
- Strong expertise in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
- Hands-on experience with Kubernetes, Docker, and containerized ML workloads.
- Experience in designing, deploying, and maintaining ML systems at scale.
- Solid understanding of software architecture, distributed systems, and microservices.
- Ability to take ownership of product modules and drive them end-to-end.
- Experience mentoring and guiding technical teams.
- Strong problem-solving, communication, and leadership skills.
Preferred Qualifications:
- Advanced degree in Computer Science, AI, ML, or related fields.
- Familiarity with cloud platforms (AWS, Azure, GCP) and ML lifecycle management.
- Experience with CI/CD pipelines, MLOps practices, and performance optimization.
BE.
Design and Architecture with hands on coding.
Key Responsibilities:
- Architect and implement scalable ML systems and pipelines using Python.
- Take ownership of specific product components, ensuring high performance, reliability, and scalability.
- Lead deployment and orchestration of ML workloads using Kubernetes and containerization technologies (Docker, Helm, etc.).
- Collaborate with cross-functional teams to define architecture, standards, and best practices.
- Mentor and guide junior engineers, fostering technical growth and adherence to best practices.
- Optimize ML models and workflows for production-scale environments.
- Evaluate and integrate new tools, frameworks, and technologies to enhance system efficiency.