Machine Learning Principal Solutions Architect

Solutions EngineerSolutions EngineerFull TimeRemoteTeam 201-500Since 2014H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

68 days ago

Salary

Not specified

Bachelor Degree8 yrs expEnglishAWSAzureDjangoFlaskGoogle Cloud PlatformJavaPythonScalaSpring

Job Description

• Architect end-to-end AI/ML solutions, ensuring scalability, performance, and alignment with customer requirements and goals • Lead a team of machine learning engineers and data scientists to build AI/ML platforms, pipelines, and products that meet customer requirements and expectations • Communicate business value and ROI of AI/ML solutions to both technical and non-technical stakeholders • Mentor team members on best practices in AI/ML architecture, modeling, and technology. • Stay abreast of emerging technologies and methodologies in AI/ML to inform solution design and delivery. • Build relationships with client stakeholders to understand their long-term AI/ML goals and design roadmaps that align with business objectives. • Craft persuasive technical approaches and value propositions to drive client AI/ML initiatives forward • Identify and drive account expansion opportunities by uncovering unmet client needs and where AI/ML can add value. • Lead responses to RFIs and RFPs, crafting persuasive technical approaches and value propositions.

Job Requirements

  • 8+ years as a hands-on Solutions Architect, Data Scientist, or Software Engineer that has designed and implemented complex AI/ML platforms and solutions
  • 3+ years previous Consulting leadership experience leading projects, expanding customer relationships and ensuring delivery lead growth
  • 4-year Bachelor's degree in Computer Science or a related field
  • Experience deploying machine learning models in a production setting
  • Proven track record of account expansion, pre-sales, and proposal development
  • Experience leading cross-functional teams of engineers, data scientists, and architects
  • Deep expertise in AI/ML technologies and platforms (e.g., AWS, GCP, Azure, Databricks, Vertex AI, SageMaker)
  • Expertise in Python, Scala, Java, or another modern programming language
  • The ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets
  • Development of APIs and web server applications (e.g. Flask, Django, Spring)
  • Complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment
  • Excellent communication and interpersonal skills, with the ability to navigate complex client relationships

Benefits

  • Remote-First Work Environment
  • Casual, award-winning small-business work environment
  • Collaborative culture that prizes autonomy, creativity, and transparency
  • Competitive comp, excellent benefits, 4 weeks PTO plus 10 Holidays (and other cool perks)
  • Accelerated learning and professional development through advanced training and certifications

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