phData is a forward-thinking company in the data solutions space, partnering with leading cloud data platforms such as Snowflake, AWS, Azure, GCP, and others. With a burgeoning reputation for integrating operational excellence into the data management landscape, they are seeking a Sr. Machine Learning Solutions Architect to enhance their machine learning team. The role is remote-first, highlighting the company's commitment to a global workforce that encompasses talent from the United States, Latin America, and India. This position is significant within the organization, positioning you at the intersection of technology solutions and strategic leadership.
Key Responsibilities
Client Delivery
Architect and innovate the architecture of advanced machine learning and data solutions tailored for enterprise clients spanning varied industries.
Translate business needs into technically sound and scalable MLOps solutions while adhering to phData methodologies.
Monitor project scopes and timelines to ensure successful deliverables on time, ensuring a measurable business value for clients.
Cultivate robust and secure environments that equip data scientists to efficiently train and manipulate data models.
Define the production infrastructure for deploying machine learning solutions, ensuring reliability and performance during operational usage.
Partner with data scientists to extract actionable insights from raw data, subsequently deploying machine learning models that add client value.
Collaboration & Leadership
Work synergistically with cross-functional teams—including data science, engineering, and platform/DevOps—to yield successful project outcomes.
Provide technical leadership and strategic input during the architectural design process and critical project phases.
Ensure excellence in code quality, adhering to best practices in documentation and testing while maintaining compliance and security standards.
Influence and expand client engagements through proactive recommendations and involvement in ongoing delivery improvements.
Act as a thought leader in machine learning technologies and solutions.
Practice & Firm Contribution
Engage in contributing to the development of internal initiatives like reference architectures, training templates, and playbooks related to machine learning engineering and practices.
Maintain professionalism in all external communications, ensuring clear exchanges with both technical and non-technical stakeholders.
Additional Responsibilities
Serve as a trusted advisor to senior stakeholders among clients, influencing long-term strategies and detailing actionable roadmaps.
Mentor and coach team members, promoting a culture of continuous improvement and learning.
Help to refine reusable assets and frameworks essential for project delivery.
Required Qualifications
Experience
Over 6 years of experience in roles such as Machine Learning Engineer, Software Engineer, or Data Engineer focused on deploying production-ready machine learning and data solutions.
Technical Skills
Proficiency in modern programming languages like Python, Scala, or Java—experience with frameworks like Flask or Django is a plus.
Hands-on experience developing data pipelines and working with big data technologies such as Spark and Snowflake.
Solid understanding of network systems, cloud architecture, and operating within platforms like AWS and Databricks.
Experience writing and optimizing complex SQL queries to handle large datasets.
Proven track record in deploying machine learning models in production settings, ensuring systems' stability and scalability.
Consulting and Delivery Skills
Experience in pre-sales and project scoping, contributing to account growth in professional environments.
Strong communication skills in English with a knack for conveying technical details to varied stakeholders.
Collaboration
Proven ability to operate effectively with distributed teams, managing multiple priorities while regularly delivering high-quality solutions.
Education
A Bachelor’s degree in Computer Science or a related field is preferable, with practical experience serving as a valid alternative.
Preferred Qualifications
Prior experience with specialized industry verticals for applying machine learning at scale, enhancing your candidacy.
Familiarity with cloud platforms including AWS, Azure, and GCP, and working with ML tools like AWS SageMaker or libraries like TensorFlow is considered advantageous.
Contributions to open source and participation in technical communities would further distinguish your application.
An advanced degree like a Master's in related fields is favorable but not a requirement.
Work Environment
Given the remote-first nature of the position, applicants should be prepared to collaborate over digital platforms and manage time effectively considering the potential varied geographical time zones.
Overall, being a Sr. Machine Learning Solutions Architect at phData not only involves significant responsibility but allows you to be at the forefront of technological development. Should you find yourself meeting the outlined qualifications and ready to take on challenges, phData presents an exciting opportunity for impactful work in a supportive and innovative environment.
This job offer was originally published on jobicy.com
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