Principal AI/ML Architect

Summary

Join 3Pillar Global as an AI/ML Architect to lead the design and implementation of AI and ML systems. You will define scalable and secure architectures, leveraging various AI technologies to improve business outcomes. This role involves working with large datasets, collaborating with clients, and mentoring technical teams. You will maintain current ML models, define end-to-end architecture for AI/ML systems, and implement model testing strategies. The ideal candidate will have a Master's degree (Ph.D. preferred) in a related field with 12+ years of experience and expertise in AWS SageMaker, Python, and various ML libraries. 3Pillar offers a flexible work environment, global team opportunities, and various well-being initiatives.

Requirements

• Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 12+ years of industry experience in machine learning or data science, with a track record of delivering impactful projects; a Ph.D. is highly desirable
• Good undertaking of Software Product Development and how to integrate AI ML components into a software product
• Experience working with massive amounts of non-structured data
• Strong grasp of AI architecture patterns
• Expertise in AWS Sage Maker
• Deep experience with Python, ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow)
• Experience designing enterprise AI systems with MLOps (MLflow, Kubeflow, SageMaker Pipelines)
• Experience with APIs, microservices, and containerization (Docker, Kubernetes)
• Experience in Data Governance, Model Risk Management, and compliance
• Extensive knowledge of machine learning theory, algorithms, and methodologies
• Strong leadership and communication skills, with the ability to influence stakeholders at all levels of the organization
• Demonstrated ability to think strategically and drive innovation
• Experience in working with huge datasets in a production environment

Responsibilities

• Maintain current ML models working throughout different products in the cybersecurity space
• Define end-to-end architecture for AI/ML AI systems including data pipelines, model training/inference, and MLOps
• Working with Classification and other types of Models
• Regularly going to CCB (change control board) in products’ related meetings
• Implement models’ Testing strategies
• Serve as a strategic technical advisor to the client, leading solution design discussions, presenting AI/ML architectures, and representing 3Pillar in client-facing interactions to drive innovation and business value
• Architect scalable solutions using cloud-native AI tools in AWS SageMaker, AWS Lambda, S3, RDS, Glue, Kinesis firehose, SQS, SNS, API Gateway
• VPN management
• Fix/Improve Models Evolution and Life Cycle Strategy
• Fix/Improve Models Deployment strategy
• Guide teams on MLOps frameworks for CI/CD, model versioning, monitoring, and automated retraining
• Evaluate build-vs-buy decisions and benchmark AI models/tools/platforms
• Evaluate emerging technologies and trends in AI, ML, Gen AI space and recommend adoption strategies
• Mentor technical teams and guide solution architects, data engineers, and ML engineers
• Ensure ethical and responsible AI practices including bias detection, interpretability, and governance
• Act as a subject matter expert, providing guidance and mentorship to junior colleagues and strengthen the expertise in the organization
• Collaborate with leadership to align machine learning strategies with overall business objectives
• Participation in Software Engineering cross-products-interaction activities developing with APIs and AWS Services

Preferred Qualifications

• Published research in top-tier conferences or journals is a plus
• Experience working with GenAI technologies

Benefits

• Medical Insurance benefits as per company policy
• Life Insurance as per company policy
• 15 days of paid vacation, sick leave and paid holidays as per local law
• Paternity and maternity leave as per as per local law
• Marriage, bereavement and graduation leaves as per company policy
• Sick leave and paid holidays as per local law
• Christmas and Middle year bonuses as per local law
• Monthly productivity bonus as per local law
• Discounts in local shops
• Direct deposit of payroll
• Paid professional certifications