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Machine Learning Principal Solutions Architect

1 month, 1 week ago
United States
Full-time
Lead
Machine Learning Engineer
Artificial Intelligence and Machine Learning
AWS Azure Databricks dbt Django Docker Flask GCP Java Keras Kubernetes Machine Learning MLflow Python SageMaker Scala Scikit-learn Snowflake Spring TensorFlow Vertex AI
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phData

phData

phData specializes in providing comprehensive data engineering, data strategy, and machine learning services, offering end-to-end managed data solutions that facilitate data migrations, integrations, and the development of modern data products and appl...

IT Services
251-1K
View All Jobs 37

Description

  • Architect end-to-end AI/ML solutions that are scalable, performant, and aligned to customer goals.
  • Lead machine learning engineers and data scientists in building AI/ML platforms, pipelines, and products.
  • Communicate the business value and ROI of AI/ML solutions to technical and non-technical stakeholders.
  • Mentor team members on AI/ML architecture, modeling, and best practices.
  • Stay current on emerging AI/ML technologies and methodologies to inform solution design and delivery.
  • Build relationships with client stakeholders to understand long-term AI/ML goals and define aligned roadmaps.
  • Develop persuasive technical approaches and value propositions to advance client AI/ML initiatives.
  • Identify and pursue account expansion opportunities by uncovering unmet client needs.
  • Lead responses to RFIs and RFPs, including technical strategy and proposal development.

Requirements

  • 8+ years of hands-on experience as a Solutions Architect, Data Scientist, or Software Engineer designing and implementing complex AI/ML platforms and solutions.
  • 3+ years of consulting leadership experience leading projects, expanding customer relationships, and driving delivery-led growth.
  • Bachelor’s degree in Computer Science or a related field.
  • Experience deploying machine learning models in a production setting.
  • Proven track record in account expansion, pre-sales, and proposal development.
  • Experience leading cross-functional teams of engineers, data scientists, and architects.
  • Deep expertise in AI/ML platforms and cloud technologies such as AWS, GCP, Azure, Databricks, Vertex AI, or SageMaker.
  • Expertise in Python, Scala, Java, or another modern programming language.
  • Ability to build and operate robust data pipelines using multiple data sources, programming languages, and toolsets.
  • Experience developing APIs and web server applications such as Flask, Django, or Spring.
  • Full software development lifecycle experience, including design, documentation, implementation, testing, and deployment.
  • Excellent communication and interpersonal skills for managing complex client relationships.
  • Master’s or other advanced degree in data science or a related field (preferred).
  • Relevant side projects, such as open source contributions (preferred).
  • Experience with libraries and tools such as h2o, TensorFlow, Keras, or scikit-learn (preferred).
  • Experience with Docker, Kubernetes, or another containerization technology (preferred).
  • AWS SageMaker or Azure ML and MLflow experience (preferred).
  • Experience building enterprise ML models (preferred).

Benefits

  • Remote-first work environment.
  • Competitive compensation with excellent benefits.
  • 4 weeks of PTO plus 10 holidays.
  • Collaborative, casual work environment that values autonomy, creativity, and transparency.
  • Accelerated learning and professional development through advanced training and certifications.

Interested in this position?

Apply directly on the company website

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