[Remote] Machine Learning Principal Solutions Architect

Remote, USA Full-time
Note: The job is a remote job and is open to candidates in USA. phData is a dynamic and innovative leader in the modern data stack, partnering with major cloud data platforms to deliver cutting-edge services and solutions. The Principal Solutions Architect will be responsible for architecting AI/ML solutions, leading a team of engineers, and driving client engagement and account growth. Responsibilities • 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 Skills • 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 • Master's or other advanced degree in data science or a related field • Relevant side projects (e.g. contributions to an open source technology stack) • Experience working with Data-Science and Machine-Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn, etc • Experience with Docker, Kubernetes, or some other containerization technology • AWS Sagemaker (or Azure ML) and MLflow experience • Experience building enterprise ML models 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 Company Overview • phData Premier provider of Big Data managed services and architecture, engineering, and data science consulting. It was founded in 2014, and is headquartered in Minneapolis, Minnesota, USA, with a workforce of 501-1000 employees. Its website is Company H1B Sponsorship • phData has a track record of offering H1B sponsorships, with 9 in 2025, 14 in 2024, 4 in 2023, 16 in 2022, 15 in 2021, 9 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job
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