
51 - 200 employees
🤖 Artificial Intelligence
Artificial Intelligence • Analytics • Consulting
Aimpoint Digital is a market-leading analytics, data engineering, operations research, and Artificial Intelligence advisory and solution engineering firm. It empowers organizations to unlock value from data by providing strategic guidance, developing state-of-the-art AI solutions, and implementing cutting-edge analytics applications. Aimpoint Digital partners with various companies to enhance operations, drive data-driven decisions, and maximize ROI through personalized data strategies and optimization solutions.
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51 - 200 employees
🤖 Artificial Intelligence
Artificial Intelligence • Analytics • Consulting
Aimpoint Digital is a market-leading analytics, data engineering, operations research, and Artificial Intelligence advisory and solution engineering firm. It empowers organizations to unlock value from data by providing strategic guidance, developing state-of-the-art AI solutions, and implementing cutting-edge analytics applications. Aimpoint Digital partners with various companies to enhance operations, drive data-driven decisions, and maximize ROI through personalized data strategies and optimization solutions.
• Engage in multi-disciplinary teams to deliver complex AI, Engineering and Data & Analytics cases • Serve as a Databricks subject matter expert for our internal community • Provide technical leadership and hands-on delivery • Contribute to the growth of our partnership with Databricks • Create and deliver engaging technical and thought leadership content • Build and deliver end-to-end technical tool demonstrations • Support channel and sales activities to provide architecture advisory
• Degree-educated in Computer Science, Data Science, Engineering, Mathematics, or equivalent experience • Strong consulting (7+ years), communication and presentation skills • Ability to work independently and collaboratively in a fast-paced, remote & customer-facing setting • Deep familiarity with Databricks features including AI, ML, Engineering and Analytics features • 7+ years of Databricks solution design, implementation, engineering experience • 5+ years building data pipelines in Databricks using PySpark, Scala and/or Spark SQL OR 5+ years ML Engineering or AI Engineering deploying, promoting and serving ML models • Hands-on working knowledge of Databricks ML and Gen AI features • Expertise in software engineering or DevOps concepts & best practices is preferred • Experience in terraform deploying and configuring metastores and workspaces on any cloud platform (AWS, Azure or GCP) highly desirable • Any Databricks certificates are highly regarded • Willingness to travel
• Work in the AI and Data Engineering consultancy • Opportunity to engage with C-level executives
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