Lead, AI ML Engineering at 3Pillar
Remote, British Columbia, Canada -
Full Time


Start Date

Immediate

Expiry Date

29 Jun, 25

Salary

0.0

Posted On

29 Mar, 25

Experience

7 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Aws, Deep Learning, Python, Google Cloud, Scikit Learn, Algorithms, Interpersonal Skills, Nlp, Computer Vision, Azure, Computer Science, Mathematics, Ml, Opencv

Industry

Computer Software/Engineering

Description

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.

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.
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.
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