Blend · 1 day ago
Manager AI and Data Engineering
Columbia, MD
Full-time
Remote
Mid, Senior Level
3+ years exp
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Responsibilities
Build and grow a team of artificial intelligence (“AI”) data engineers and data scientists, ensuring their growth and high performance.
Build, operate and deploy real-time data pipelines at scale using AI methods and best practices.
Apply cutting edge data warehousing, data science and data engineering technologies to accelerate AI research and development (R&D) efforts.
Automate low-value tasks and enable faster time to market and better reusability of new AI initiatives.
Partner with AI R&D teams and the Data Platform Team in collecting, creating, curating and maintaining high-quality AI datasets.
Ensure alignment and integration of data architecture and data models across different products and platforms.
Serve as a thought leader in AI and data science, advising senior leadership on how to leverage AI-driven data engineering to create future-proof data strategies and activate data to build a hybrid data engineering platform.
Engage in data engineering and data science tasks as required to support the team.
Lead external data collection efforts—including state of the art prompt engineering techniques—to support the construction of state-of-the-art AI models.
Drive data innovation through research and development to unearth insights from rich data resources.
Ensure clarity of the company's vision and mission across the team and foster excellent communication within the organization.
Stay updated on new tools and development strategies and bring innovation recommendations to leadership.
Qualification
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Required
Master’s degree in computer science, information technology, information systems, data analytics, or a closely related field.
3 years of professional experience in data engineering and data science, to include each of the following:
2 years of experience in a managerial or technical leadership role, with responsibility covering large cross functional projects.
2 years of experience with Python, Spark, SQL, and Airflow for developing data processing solutions and streaming platforms and Applications.
1 year of experience with Generative AI.
1 year of experience interacting with AI frameworks, including PyTorch and TensorFlow.
1 year of experience with AI libraries, including Hugging face and Scikit-Learn.
6 months of experience interacting with and prompting cutting-edge Large Language Models (LLMs) and LLM APIs.
Company
Blend
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people.
501-1,000 employees
H1B Sponsorship
Blend has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (24)
2022 (28)
2021 (29)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
$100MKey Investors
Recognize Partners
2022-08-09Private Equity· $100M
Leadership Team
Rob Fuller
CSO
Recent News
2023-06-28
2023-05-24
Company data provided by crunchbase
