[Remote] Machine Learning Principal Solutions Architect

🌍 Remote, USA πŸ’Ή Full-time πŸ• Posted Recently

Job Description

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 β€’ Architect end-to-end AI/ML solutions, ensuring scalability, performance, and alignment with customer requirements and goals β€’ Lead a team of machine learning engineers and data scientists to build AI/ML platforms, pipelines, and products that meet customer requirements and expectations β€’ Communicate business value and ROI of AI/ML solutions to both technical and non-technical stakeholders β€’ Mentor team members on best practices in AI/ML architecture, modeling, and technology β€’ Stay abreast of emerging technologies and methodologies in AI/ML to inform solution design and delivery β€’ Build relationships with client stakeholders to understand their long-term AI/ML goals and design roadmaps that align with business objectives β€’ Craft persuasive technical approaches and value propositions to drive client AI/ML initiatives forward β€’ Identify and drive account expansion opportunities by uncovering unmet client needs and where AI/ML can add value β€’ Lead responses to RFIs and RFPs, crafting persuasive technical approaches and value propositions Skills β€’ 8+ years as a hands-on Solutions Architect, Data Scientist, or Software Engineer that has designed and implemented complex AI/ML platforms and solutions β€’ 3+ years previous Consulting leadership experience leading projects, expanding customer relationships and ensuring delivery lead growth β€’ 4-year Bachelor's degree in Computer Science or a related field β€’ Experience deploying machine learning models in a production setting β€’ Proven track record of account expansion, pre-sales, and proposal development β€’ Experience leading cross-functional teams of engineers, data scientists, and architects β€’ Deep expertise in AI/ML technologies and platforms (e.g., AWS, GCP, Azure, Databricks, Vertex AI, SageMaker) β€’ Expertise in Python, Scala, Java, or another modern programming language β€’ The ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets β€’ Development of APIs and web server applications (e.g. Flask, Django, Spring) β€’ Complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment β€’ Excellent communication and interpersonal skills, with the ability to navigate complex client relationships β€’ Master's or other advanced degree in data science or a related field β€’ Relevant side projects (e.g. contributions to an open source technology stack) β€’ Experience working with Data-Science and Machine-Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn, etc β€’ Experience with Docker, Kubernetes, or some other containerization technology β€’ AWS Sagemaker (or Azure ML) and MLflow experience β€’ Experience building enterprise ML models Benefits β€’ Remote-First Work Environment β€’ Casual, award-winning small-business work environment β€’ Collaborative culture that prizes autonomy, creativity, and transparency β€’ Competitive comp, excellent benefits, 4 weeks PTO plus 10 Holidays (and other cool perks) β€’ Accelerated learning and professional development through advanced training and certifications Company Overview β€’ 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 β€’ 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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