Principal AI/ML Architect

Guatemala

3Pillar Global

3Pillar is a leading modern application strategy, design, and engineering firm. Our expertise in product engineering and intelligent computing helps clients execute strategic software development initiatives.

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🌟 Accomplished Tech Visionary: 
Embark on an exciting journey into the realm of software development with 3Pillar! We extend an invitation for you to join our team and gear up for a thrilling adventure. As an AI/ML Architect, you will lead the design and implementation of AI and ML systems that power intelligent features across our products and platforms. You will define scalable, secure, and production-ready architectures leveraging classical ML, and deep learning and other AI technologies.
If you are passionate about discovering solutions hidden in large data sets to improve business outcomes, consider this your pass to the captivating world of Data Science and AI ML! 🚀💻
WE ARE 3PILLAR GLOBAL
At 3Pillar, culture is more than a buzzword. The power of culture, teamwork, and open collaboration drives our commitment to building breakthrough software solutions that power digital businesses. Our passion for software development has gained us recognition in some of the industry’s most innovative spaces, including a spot on the Inc. 5000 list ten years in a row, a three time winner of the Washington Post Top Workplaces Award, and notable features in Forbes, Fortune, and the Washington Business Journal. 
We are an innovative software development partner whose solutions drive rapid revenue, market share, customer growth and employee efficiency for industry leaders in Media and Publishing, Information Services, Banking and Financial Services, Insurance and Healthcare. Our key differentiator is our Product Mindset. Our development teams focus on building for outcomes and all of our team members around the globe are trained on the Product Mindset’s core values – Minimize Time to Value, Solve For Need, and Excel at Change. Our business-minded approach to agile development ensures that we align to client goals from the earliest conceptual stages through launch and beyond. 
WHAT WE BELIEVE
At 3Pillar, our core values – Intrinsic Dignity, Outsized Impact, Open Collaboration, and Continuous Improvement – drive our commitment to providing best-in-class software development services to high-growth businesses across the globe. We’ve spent more than fifteen years building innovative software solutions. Our executive team has always held our values to the highest standard which has led to active participation on the Forbes Tech Council, a winner of the Ernst & Young Entrepreneur of the Year Award, and a spot on the Washington Business Journal’s Women Who Mean Business list.

Key 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.

Minimum Qualifications

  • 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.

Additional Experience Desired

  • 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

  • #Li-Remote

What is it like working for 3Pillar Global?

  • At 3Pillar, we offer a world of opportunity:

  • Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach. 
  • You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams. 
  • We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best.
  • Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries.
  • We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally. 

  • Join us and be a part of a global tech community! 🌍💼  Check out our Linkedin site and Careers page to learn more about what it’s like to be part of our #oneteam! 
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile APIs Architecture AWS Banking CI/CD Classification Computer Science Data governance Data pipelines Deep Learning Docker Engineering Excel Firehose Generative AI Kinesis Kubeflow Kubernetes Lambda Machine Learning Mathematics Microservices MLFlow ML models MLOps Model training Pipelines Python PyTorch Research Responsible AI SageMaker Scikit-learn TensorFlow Testing XGBoost

Perks/benefits: Career development Conferences Fitness / gym Flex hours Flex vacation Health care Medical leave Parental leave Salary bonus Startup environment Team events

Regions: Remote/Anywhere North America
Country: Guatemala

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