Senior Data Platform Engineer

TechStarsGroup - Los Angeles, CA

Full-time - Senior

Los Angeles, CA

About the position

The Senior Data Platform Engineer will play a crucial role in architecting, developing, and managing AI/ML platforms to enhance healthcare through innovative technology. This position focuses on building scalable and robust systems that support advanced machine learning models, ultimately improving patient care and treatment outcomes.

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.

Requirements

• A Bachelor's 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.

Benefits

• Details on compensation, including salary, benefits, and other perks, to be provided based on the application process and discussions.