Distinguished Engineer, Generative AI Systems - Remote | WFH

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At Get It Recruit - Information Technology, we are seeking a highly skilled and innovative Distinguished Engineer specializing in Generative AI Systems. This pivotal role demands a blend of technical expertise and strategic vision to architect and implement cutting-edge AI solutions that drive the future of our technology services. The successful candidate will lead complex projects, mentor engineering teams, and collaborate cross-functionally to leverage generative AI technologies, ensuring the delivery of high-quality products that meet our clients' evolving needs.

Job Responsibilities

• Develop and drive the technical vision for generative AI systems to enhance product offerings.
• Lead and mentor engineering teams in the design, development, and deployment of AI models.
• Collaborate with product management and data science teams to establish project objectives and requirements.
• Conduct code reviews and provide guidance on best practices and engineering principles.
• Research, evaluate, and implement new AI technologies and tools to improve system efficiencies.
• Present technical strategies and outcomes to senior leadership and stakeholders.
• Ensure compliance with industry standards and data protection regulations in AI system implementations.

Qualifications

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
• 10+ years of experience in software engineering, with a focus on AI and machine learning.
• Proven experience in designing and implementing generative AI models and applications.
• Expertise in programming languages such as Python, Java, or C++.
• Substantial knowledge of AI frameworks and libraries like TensorFlow, PyTorch, or Keras.
• Strong analytical skills with the ability to solve complex technical challenges.
• Excellent communication and leadership abilities to influence across teams.

Technologies & Tools

This position utilizes a variety of advanced technologies and tools to create generative AI systems, including but not limited to:

• Machine learning frameworks such as TensorFlow and PyTorch.
• Development environments like Jupyter Notebook and Visual Studio Code.
• Data manipulation tools such as Pandas and NumPy.
• Cloud platforms, including AWS, Azure, and Google Cloud for deploying AI solutions.
• Version control systems like Git for collaborative coding practices.

Ideal Candidates

The ideal candidate for this role is a strategic thinker with a passion for innovation in the field of AI. They possess a strong background in engineering principles and a relentless drive for excellence. A successful candidate demonstrates exceptional problem-solving abilities, adaptability, and a collaborative mindset, enabling them to thrive in a rapidly changing technology landscape. Their leadership qualities inspire and elevate teams, while their commitment to quality ensures the successful implementation of generative AI systems that exceed client expectations.