About the job Senior Data Platform Engineer
Senior Data Platform Engineer
**Position Overview**
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.
**Key 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.
**Qualifications**
- 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.
**Desirable Skills**
- 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.
**Role Impact**
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.
**Compensation**
[Details on compensation, including salary, benefits, and other perks, to be provided based on the application process and discussions.]