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Lead, AI ML Engineering

3PILLAR GLOBAL Company 

At 3Pillar, culture is more than a buzzword. The power of culture, teamwork, and open collaboration drive our commitment to building breakthrough software solutions that power digital businesses. Our passion for products has gained us recognition in some of software’s most innovative spaces, including a spot on the Inc. 5000 list ten times, an Institute of Excellence in Sales (IES) Premier Sales Employer winner, a three-time winner of the Washington Post Top Workplaces Award, and notable features in Forbes, Fortune, and the Washington Business Journal. 


We work with clients to build incredible innovative products as their development partner whose solutions drive rapid revenue, market share, and customer growth for industry leaders in Software and SaaS, Media and Publishing, Information Services, and Retail. Our key differentiator is our Product Mindset and Lightwave Methodology. 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 teams apply this mindset to build digital products that are customer-facing and revenue-generating. Our business-minded approach to agile development ensures that we align to client goals from the earliest conceptual stages through market 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 product 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. 


RESPONSIBILITIES
  • Lead a team of AI ML engineers, providing technical guidance, mentorship, and support.
  • Define project goals, scope, and deliverables in collaboration with stakeholders.
  • Work closely with product managers and business analysts to understand business requirements and translate them into technical solutions.
  • Create scalable architecture and robust machine learning systems that meet business objectives of a software product.
  • Collaborate with cross-functional teams to integrate machine learning solutions into existing products and workflows.
  • Establish best practices and standards for machine learning development within the organization.
  • Monitor and evaluate the performance of machine learning models in production and implement improvements as needed.
  • Stay updated on industry trends and advancements in machine learning technologies.
  • Implement, deploy, optimize AI/ML algorithms and models into production environments.
  • Conduct experiments, perform data analysis, and present findings to stakeholders.


REQUIREMENTS
  • Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or related fields.
  • 7+ years of experience in building AI models with ML, NLP and deep learning.
  • Looking for candidates with Agentic AI, RAG, Prompt Engineering, Pytorch, Streamlit, LangChain experience.
  • Proven track record of successfully delivering machine learning projects from concept to production.
  • Strong leadership and interpersonal skills.
  • Excellent problem-solving abilities and attention to detail.
  • Ability to effectively communicate technical concepts to non-technical stakeholders.
  • Strong knowledge of AI/ML techniques, algorithms, and frameworks.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Strong programming skills in Python, and familiarity with libraries such as PyTorch, TensorFlow, and Scikit-Learn.
  • Solid understanding of machine learning concepts, algorithms, and statistical methods. Experience with computer vision libraries (OpenCV, etc.) and NLP libraries (spaCy, Hugging Face, etc.). Knowledge of MLOps practices and experience with CI/CD tools.
  • Proven ability to work independently and with a team.


DESIRED
  • Good Software Engineering Background.
  • Experience in working with huge datasets in a production environment.


BENEFITS
  • 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!


Average salary estimate

$135000 / YEARLY (est.)
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$120000K
$150000K

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What You Should Know About Lead, AI ML Engineering, 3Pillar

Are you passionate about artificial intelligence and machine learning? 3Pillar Global is looking for a Lead, AI ML Engineering to join our innovative team in Canada! At 3Pillar, we thrive on collaboration and consider culture to be more than just a buzzword; it's the driving force behind our commitment to delivering exceptional software solutions. As the Lead, AI ML Engineering, you'll spearhead a talented group of AI ML engineers, providing mentorship and technical expertise to guide the development of scalable architectures and robust machine learning systems. You will work closely with product managers and stakeholders to define project goals and translate business requirements into technical solutions. Staying abreast of industry trends is crucial as you will evaluate and optimize AI/ML algorithms, ensuring they meet business objectives. Your role involves establishing best practices and standards for machine learning development while integrating these solutions into existing products. We value open collaboration, continuous improvement, and the intrinsic dignity of every team member. Join us at 3Pillar Global, where you’ll be part of a supportive, diverse environment that emphasizes your professional growth and well-being. If you have over 7 years of experience in AI and ML, with a proven track record of delivering projects from concept to production, we’d love to hear from you! Embrace the opportunity to lead, innovate, and make a significant impact on cutting-edge technology solutions at 3Pillar.

Frequently Asked Questions (FAQs) for Lead, AI ML Engineering Role at 3Pillar
What responsibilities does a Lead, AI ML Engineering at 3Pillar Global have?

As a Lead, AI ML Engineering at 3Pillar Global, you'll oversee a team of engineers, define project goals, and translate business requirements into technical solutions. You'll be responsible for creating scalable architectures, monitoring machine learning models, and establishing best practices within the organization. Collaborating with cross-functional teams is essential to integrate machine learning solutions into products and workflows.

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What qualifications are needed for a Lead, AI ML Engineering role at 3Pillar Global?

To qualify for the Lead, AI ML Engineering position at 3Pillar Global, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. You’ll also need at least 7 years of experience in AI and ML, particularly with techniques like deep learning and NLP, along with a strong proficiency in Python and cloud platforms like AWS or Azure.

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What skills are important for a successful Lead, AI ML Engineer at 3Pillar Global?

A successful Lead, AI ML Engineer at 3Pillar Global should demonstrate strong leadership and problem-solving abilities. Excellent communication skills are necessary to relay technical concepts to non-technical stakeholders. Familiarity with AI/ML techniques, algorithms, frameworks, and experience with MLOps practices are also vital for success in this role.

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What opportunities for growth does a Lead, AI ML Engineer at 3Pillar Global have?

At 3Pillar Global, a Lead, AI ML Engineer can expect a wealth of professional growth opportunities. Our framework supports accelerated career development across various projects and industries, with a focus on continuous learning and improvement. You will also benefit from our flexible work environment, allowing for a healthy work-life balance.

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What is the company culture like at 3Pillar Global for a Lead, AI ML Engineer?

The company culture at 3Pillar Global is vibrant and inclusive, emphasizing open collaboration, intrinsic dignity, and continuous improvement. As a Lead, AI ML Engineer, you will be part of a team that values teamwork, innovation, and well-being, all while working towards building cutting-edge technology solutions.

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Common Interview Questions for Lead, AI ML Engineering
Can you describe your experience with machine learning projects and how they relate to the role of Lead, AI ML Engineering?

In answering this question, highlight specific projects where you led machine learning initiatives. Emphasize your role in managing the project lifecycle, from ideation to deployment, and discuss any challenges you faced and how you overcame them, particularly in a leadership context.

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How do you ensure that machine learning models you develop meet business objectives?

When answering this, discuss your approach to collaborating with stakeholders, understanding their needs, and translating those into technical specifications. Mention how continuous monitoring and feedback loops help improve the models post-deployment to align them with changing business goals.

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What strategies do you use to mentor junior engineers in your team?

Talk about your mentorship approach, focusing on providing constructive feedback, sharing knowledge through code reviews, and offering guidance in problem-solving. It's important to mention how you create a supportive environment for learning that encourages growth and confidence.

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How do you stay updated with the latest trends in AI and machine learning?

Highlight your methods for keeping up-to-date with industry trends, such as following influential publications, participating in webinars, and engaging in relevant communities. Discuss how you incorporate new insights and technologies into your work and share them with your team.

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Can you explain your experience with cloud platforms and their significance in machine learning?

Discuss your hands-on experience with cloud platforms like AWS, Azure, or Google Cloud, and explain how they've facilitated the scaling of machine learning models. Mention specific tools or services you've used and how they contribute to the development and deployment of AI solutions.

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What are some key challenges you’ve faced in AI ML projects, and how did you address them?

Share examples of specific challenges, like data quality issues or model accuracy problems, and explain the steps you took to resolve them. Emphasize your problem-solving skills and use of analytical thinking to navigate these challenges.

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What architecture have you designed for a machine learning system, and why?

In your answer, describe a specific architecture you’ve implemented, explaining your design choices based on scalability, performance, and ease of integration with existing systems. Discuss how this architecture supported the overall project goals.

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How do you measure the success of a machine learning model after deployment?

Talk about the metrics and KPIs you use to evaluate model performance, such as accuracy, F1 scores, and customer impact. Emphasize the importance of continual assessment and iterative improvements based on these metrics.

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How do you handle collaboration with non-technical stakeholders?

Stress the importance of clear communication and your strategy for translating complex technical concepts into easily understandable language for non-technical stakeholders. Provide examples of how successful collaboration has been achieved in past roles.

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Why do you want to work at 3Pillar Global as a Lead, AI ML Engineering?

Share your motivation for joining 3Pillar Global, focusing on your alignment with the company's culture, values, and commitment to innovation. Discuss how your skills and experience will contribute to the team's successes and help drive impactful software solutions.

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3Pillar Global is a product lifecycle management and development company that engineers software products to help companies drive revenue. They are headquartered in Fairfax, Virginia.

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Full-time, remote
DATE POSTED
March 30, 2025

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