Techstars

Senior Data Platform Engineer

Techstars$135K — $160K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or related field; advanced degrees preferred.
  • 5+ years in AI/ML platform development and management, expertise in Kubernetes, MLFlow, Kubeflow, Ray, and Spark.
  • Strong understanding of machine learning frameworks, data modeling, and software design principles.
  • Solid knowledge of machine learning algorithms and methodologies.
  • Experience with cloud services (GCP, AWS, Azure); cloud-agnostic skills are a plus.
  • Exceptional problem-solving skills and teamwork.

Responsibilities

  • Architect, build, and maintain a state-of-the-art AI/ML platform for advanced models like LLM and Bert.
  • Develop and maintain efficient ML training and inference pipelines using tools like MLFlow, Kubeflow, Ray, and Spark.
  • Ensure model performance, quality, and responsiveness.
  • Collaborate with teams to design and deliver innovative features.
  • Evaluate and integrate new technologies to boost development productivity.

Benefits

  • Opportunity to work with cutting-edge AI/ML technologies.
  • Collaborative and vibrant team environment.
  • Involvement in strategic decisions influencing the organization.
  • Exposure to a variety of projects in a dynamic setting.
Full Job Description
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.]

About Techstars

Techstars is a global startup accelerator that provides mentorship, funding, and resources to early-stage companies. Founded in 2006, Techstars has helped launch over 2,000 companies across various industries. The company has a strong focus on technology and innovation and has partnerships with major corporations such as Amazon, Barclays, and Comcast. Techstars operates in over 150 countries and has offices in various locations around the world. The company is committed to diversity and inclusion and has implemented various initiatives to support underrepresented founders.
Learn more about Techstars
Size
200 employees
Industry
Founded
2006

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