Senior Data Platform Engineer

TechStarsGroup • Los Angeles, CA

12h

About The Position

Our client is on a mission to transform healthcare using the power of artificial intelligence. We are dedicated to leveraging AI to make a significant impact on healthcare, aiming to enhance patient care by making every patient's journey a cornerstone for healthcare decisions. Our goal is to improve treatment outcomes and accelerate drug discovery by analyzing patient health records to provide accurate and timely care. If you are passionate about advancing healthcare through innovative technology, we invite you to join us in pioneering the future. We are on the lookout for a seasoned Senior Data Platform Engineer to enhance our vibrant team. The successful applicant will possess a profound expertise in architecting, developing, and managing AI/ML platforms, focusing on scalability and robustness. In this pivotal role, you will be instrumental in sculpting our data infrastructure to ensure data availability, reliability, and analysis-readiness. Your contributions will be crucial to our organization's data-centric strategic decisions and overarching success.

Requirements

• A Bachelors degree in Computer Science, Statistics, Mathematics, or a related discipline, with a preference for advanced degrees.
• At least 5 years of experience in crafting and managing AI/ML platforms with proficiency in Kubernetes, MLFlow, Kubeflow, Ray, and Spark.
• In-depth understanding of machine learning frameworks, libraries, data structures, data modeling, and software design principles.
• Solid grasp of machine learning algorithms, methodologies, tools, and platforms.
• Familiarity with cloud services (GCP, AWS, Azure), with experience in cloud-agnostic deployments being a significant plus.
• Exceptional problem-solving capabilities and a collaborative team spirit.

Nice To Haves

• Prior experience in startup settings and familiarity with agile development practices.
• Effective communication skills, with the knack for demystifying technical concepts for non-technical stakeholders.
• Knowledge of data streaming technologies like Apache Kafka.
• Proficiency in data visualization tools such as Tableau or Power BI.
• Certifications in relevant data engineering technologies.

Responsibilities

• Architect, build, and sustain an advanced AI/ML platform to facilitate the development of LLM, Bert, and other cutting-edge models.
• Construct and maintain efficient ML training and inference pipelines utilizing tools such as MLFlow, Kubeflow, Ray, and Spark.
• Guarantee model performance, quality, and responsiveness.
• Work in tandem with diverse teams to conceptualize, design, and deliver innovative features.
• Proactively seek out, assess, and integrate new technologies to enhance development productivity.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior