Crescer AI | Hiring | Data Scientist/Machine Learning Intern | BigDataKB.com | 1/11/2022

Crescer AI

Remote

Data Scientist/Machine Learning at Crescer AI

Snapshot

• Role: Data Scientist / Machine Learning Intern
• Employee type: Full-time or part-time year-round internship
• Location: Remote
• Start date: ASAP
• Compensation: Competitive salary

Who is Crescer AI?

Crescer AI is an advanced technology consultancy geared towards helping enterprises solve intractable problems using AI. Our team has worked with high impact companies including the likes of NASA, Amazon, Deloitte, and Ford where we developed a unique set of expertise in applied artificial intelligence, deep learning, and product development.

Description

In this role you will:

• Work on a variety of machine learning challenges with practical applications
• Research and implement SOTA machine learning algorithms
• Robustify and deploy your work into production environments
• Maintain readable and unit testable code with documentation
• Collaborate with cross-functional teams to be a key contributor to AI-based solutions and deliver value to our clients

What we need from you:

• Experience from 13 machine learning projects or past internships
• A strong background and interest in mathematics
• Experience with one or more of the following concepts: statistical methods for machine learning, deep learning, time series analysis, data engineering
• Strong data visualization and communication skills
• Comfortable collaborating with international teams (USA)
• Comfortable developing in a Linux environment

Bonus points for:

• Docker, AWS, or GCP experience
• Familiarity with scrum, kanban, and other agile practices
• Familiarity with MLOps

Application Instructions

Join us and play a critical role in the development of AI solutions and products for enterprise. Please use the indeed platform to proceed with the application. We appreciate your interest and look forward to your application.

Website: www.crescer.ai

Application Deadline: 31/1/2022

Job Types: Full-time, Part-time, Internship

Schedule:

• Flexible shift

Work Remotely:

• Yes

Apply Here

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