BAE Systems

Eng II

BAE Systems$110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
  • 2+ years experience in AI and machine learning, particularly with deep learning frameworks
  • Strong programming skills in Python, Java, or C++
  • Experience with cloud-based AI platforms like AWS SageMaker or Azure Machine Learning
  • Solid understanding of computer vision and natural language processing applications
  • Familiarity with agile methodologies and version control systems like Git

Responsibilities

  • Design, develop, and deploy AI and machine learning models using Python and popular frameworks
  • Collaborate with data scientists and engineers to craft AI-powered solutions for business problems
  • Develop and maintain large-scale AI systems, including data pipelines and model serving infrastructure
  • Create AI agent architectures that interact with users and systems effectively
  • Ensure scalability, reliability, and performance of AI systems, including monitoring and debugging tools
  • Work with product managers to integrate AI features into product roadmaps
  • Keep current with AI advancements to enhance and innovate existing systems

Benefits

  • Opportunity to work on cutting-edge AI technology
  • Collaborative work environment with cross-functional teams
  • Professional development opportunities to improve technical skills
  • Access to modern tools and platforms for AI and machine learning
  • Potential for impactful work that drives business growth and enhances customer experience
Full Job Description
Job Description

We are seeking an AI Engineer to join our team of innovators and technologists. As an AI Engineer, you will be responsible for designing, developing, and deploying artificial intelligence and machine learning models to drive business growth and improve customer experiences. You will work closely with cross-functional teams to identify opportunities for AI adoption, develop and implement AI solutions, and ensure seamless integration with existing systems. A key focus of this role will be on designing and implementing the infrastructure required to support AI systems, including data pipelines, model training, and model serving. Additionally, you will be responsible for developing and deploying AI agents that can interact with users, systems, and other agents to achieve business goals.

Key Responsibilities:
  • Design, develop, and deploy AI and machine learning models using various tools and technologies such as Python, TensorFlow, PyTorch, and scikit-learn
  • Collaborate with data scientists and engineers to identify business problems and develop AI-powered solutions
  • Develop and maintain large-scale AI systems, including:
    + Data pipelines: design and implement data architectures that support AI and machine learning workflows, including data ingestion, processing, and storage
    + Model training: develop and implement model training pipelines that can handle large datasets and complex models
    + Model serving: develop and implement model serving systems that can handle high-volume traffic and low-latency requirements
  • Design and implement AI agent architectures that can interact with users, systems, and other agents to achieve business goals, including:
    - Natural Language Processing (NLP) agents that can understand and respond to user input
    - Computer Vision agents that can analyze and respond to visual data
    - Autonomous agents that can make decisions and take actions without human intervention
  • Ensure the scalability, reliability, and performance of AI systems, including:
    - Monitoring: develop and implement monitoring systems that can track AI system performance and detect anomalies
    - Logging: develop and implement logging systems that can track AI system activity and provide insights for debugging and optimization
    - Debugging: develop and implement debugging tools and techniques that can help identify and resolve issues with AI systems
  • Collaborate with product managers to develop AI-powered product features and roadmaps
  • Stay up-to-date with the latest advancements in AI and machine learning, and apply this knowledge to improve existing systems and develop new ones
  • Develop and maintain technical documentation for AI systems, including architecture diagrams, data flow diagrams, and model explanations


Required Skills and Education

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field or equivalent combination of experince and education
  • 2+ years of experience in AI and machine learning, including hands-on experience with deep learning frameworks such as TensorFlow or PyTorch
  • Strong programming skills in languages such as Python, Java, or C++
  • Experience with cloud-based AI platforms such as AWS SageMaker, or Azure Machine Learning
  • Strong understanding of computer vision, natural language processing, or other AI applications
  • Experience with agile development methodologies and version control systems such as Git


This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

About BAE Systems

BAE Systems plc is a British multinational arms, security, and aerospace company. It is among the world's largest defense contractors, with over 85,000 employees and operations in over 40 countries. BAE Systems is involved in the design, development, and manufacture of a wide range of products and services, including military aircraft, naval ships, and land vehicles. The company also provides a range of cybersecurity and intelligence services. BAE Systems has a long history, dating back to the 19th century, and has been involved in many major defense projects. Visit baesystems.com for more information.
Learn more about BAE Systems
Size
90,500 employees
Industry
Founded
1997
NASDAQ

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