Description:

The Principal AI/ML Architect will lead the design and implementation of AI and ML systems that enhance intelligent features across products and platforms at 3Pillar.
This role involves defining scalable, secure, and production-ready architectures utilizing classical ML, deep learning, and other AI technologies.
Responsibilities include maintaining current ML models in the cybersecurity space, defining end-to-end architecture for AI/ML systems, and implementing model testing strategies.
The architect will serve as a strategic technical advisor to clients, leading solution design discussions and representing 3Pillar in client-facing interactions.
The position requires architecting scalable solutions using cloud-native AI tools in AWS, managing VPN, and improving models' evolution and deployment strategies.
The architect will guide teams on MLOps frameworks, evaluate build-vs-buy decisions, and mentor technical teams while ensuring ethical AI practices.
Collaboration with leadership to align machine learning strategies with business objectives is essential, along with participation in software engineering activities.

Requirements:

A Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 12+ years of industry experience in machine learning or data science is required; a Ph.D. is highly desirable.
Candidates must have a strong understanding of software product development and experience integrating AI/ML components into software products.
Experience working with large amounts of non-structured data and a strong grasp of AI architecture patterns are necessary.
Expertise in AWS SageMaker and deep experience with Python and ML libraries such as scikit-learn, XGBoost, PyTorch, and TensorFlow are required.
Candidates should have experience designing enterprise AI systems with MLOps and familiarity with APIs, microservices, and containerization.
Knowledge of data governance, model risk management, and compliance is essential, along with extensive knowledge of machine learning theory and methodologies.
Strong leadership and communication skills are required, with the ability to influence stakeholders at all levels.
Experience working with large datasets in a production environment is necessary.

Medical and life insurance benefits are provided as per company policy.
Employees receive 15 days of paid vacation plus additional days based on tenure, along with vacation bonuses as per local law.
Sick leave and paid holidays are offered according to local law, along with profit sharing and paternity/maternity leave.
Additional leaves for marriage, bereavement, and graduation are available as per company policy.
Employees receive Christmas bonuses, work from home allowances, punctuality and attendance bonuses, and food tickets as per company policy.
Direct deposit of payroll and paid professional certifications are also included in the benefits package.