Senior Data Platform Engineer

About the Role

We seek a highly skilled and experienced Senior Data Platform Engineer to join our dynamic team. The ideal candidate will have a strong background in designing, building and maintaining AI/ML platforms for scale and resiliency.

You Will

• Design, develop, and maintain an AI/ML platform to enable the AI to build LLM, Bert, and other models.
• Build robust ML training and inference pipelines using MLFlow, Kubeflow, Ray, and Spark.
• Ensure the performance, quality, and responsiveness of the models.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

You Have

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. Advanced degrees are preferred.
• Minimum of 5 years of experience in building and maintaining AI/ML platforms using Kubernetes, MLFlow, Kubeflow, Ray, and Spark.
• Strong knowledge of machine learning frameworks, libraries, data structures, data modeling, and software architecture.
• Good understanding of machine learning algorithms, processes, tools, and platforms.
• Experience with cloud services (GCP, AWS, Azure). Cloud-agnostic deployment experience is highly encouraged.
• Excellent problem-solving skills and ability to work in a team environment.

Nice to Have

• Experience with startup environments and agile development methodologies.
• Strong communication skills with the ability to explain technical concepts to non-technical audiences.
• Knowledge of data streaming technologies (e.g., Apache Kafka).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Certification in relevant data engineering technologies.

In this role, you will play a critical part in shaping our data infrastructure and ensuring that data is available, reliable, and ready for analysis. Your expertise in data engineering will contribute to our organization's data-driven decision-making and overall success.

Compensation

$170,000 - $230,000

Message to applicants applying to work in the U.S.:

When available, the salary range posted for this position reflects the projected hiring range for new hire salaries in U.S. locations. For non-sales roles, the hiring ranges reflect base salary and do not include bonuses, equity, or benefits. Hiring ranges for sales positions include base and incentive target, and do not include equity or benefits. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications or training. Applicants may not be eligible for the full salary range based on their U.S. hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.