Note: The job is a remote job and is open to candidates in USA. Lockheed Martin is a leader in innovation and technology, dedicated to solving complex challenges and ensuring safety. They are seeking an early career A/AI Machine Learning Engineer to lead the development and deployment of AI solutions that drive business value across the enterprise.
Responsibilities
• Head the AI Consulting portfolio
• Lead the development and deployment of AI solutions that drive business value and innovation across the Lockheed Martin enterprise
Skills
• Bachelor's Degree in Engineering, Computer Science from an accredited college in a related discipline, or equivalent experience
• Previous experience building machine learning models by way of work, projects, courses, etc
• Experience with developing software and software engineering best practices, specifically python
• Must have strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills
• Must be a US citizen
• Expertise in natural language processing
• Expertise applying deep learning, especially CNNs, RNNS, LSTMs, and reinforcement learning
• Experience with integration of data products into customer applications
• Experience with or knowledge of data engineering
• Experience with or knowledge of AWS or other cloud providers
• Experience with or expertise in manufacturing and/or engineering processes
• Story-telling and data visualization
• Proficiency in Python
Benefits
• Medical
• Dental
• Vision
• Life Insurance
• Short-Term Disability
• Long-Term Disability
• 401(k) match
• Flexible Spending Accounts
• EAP
• Education Assistance
• Parental Leave
• Paid time off
• Holidays
Company Overview
• Lockheed Martin is a global security and aerospace company that specializes in advanced technology systems, products, and services. It is a sub-organization of Lockheed Martin. It was founded in 1912, and is headquartered in Bethesda, Maryland, USA, with a workforce of 10001+ employees. Its website is https://www.lockheedmartin.com.
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