Description

Lead the design and implementation of machine learning systems and high-level architectures. Own end-to-end ML pipelines from raw data acquisition to model execution.

Responsibilities

• Build and manage ML pipelines covering data acquisition, merging, normalization, feature engineering, and model execution.
• Design and lead projects addressing cross-technology and cross-platform architectural challenges.
• Select appropriate tools and methodologies, negotiating terms with vendors.
• Develop ML models beyond parameter tuning and interfacing.
• Support business development and pre-sales activities in an architect capacity.

Required Skills

• 7+ years of total professional experience.
• Strong background in Artificial Intelligence and Machine Learning.
• Proficiency in Python and common data science toolkits.
• Experience building concurrency, data pipelines, and data ingestion for models.
• Expertise in SQL databases and time series databases.
• Mandatory experience with data visualization tools: Tableau, Power BI, D3.js, or Gplot.
• Bachelor's degree from an accredited college or university, or equivalent experience.

Preferred Skills

• Experience with NoSQL databases including MongoDB, Cassandra, or HBase.

Key Skills

Education

Any Graduate