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Staff AI Engineer / Lead AI Engineer @ Rapid7

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 Staff AI Engineer / Lead AI Engineer

Job Description

We are looking for a highly skilled and experienced Staff AI Engineer / Lead AI Engineer to join our team at Rapid7. The ideal candidate will have a strong background in artificial intelligence and machine learning, with excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.


Roles and Responsibility



  • Design and develop scalable and efficient AI and ML models to solve complex problems.

  • Collaborate with cross-functional teams to identify business needs and develop solutions.

  • Develop and maintain large-scale data pipelines and architectures.

  • Conduct research and stay updated on the latest trends and technologies in AI and ML.

  • Mentor junior engineers and provide technical guidance.

  • Participate in code reviews and ensure high-quality code standards.


Job Requirements



  • Strong proficiency in programming languages such as Python, Java, or C++.

  • Experience with deep learning frameworks such as TensorFlow or PyTorch.

  • Knowledge of cloud platforms such as AWS or Google Cloud.

  • Excellent understanding of software design patterns and principles.

  • Strong communication and collaboration skills.

  • Ability to work in a fast-paced environment and adapt to changing priorities.

Disclaimer :This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Job Classification

Industry: Law Enforcement / Security Services
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Technical Lead
Employement Type: Full time

Contact Details:

Company: Rapid7
Location(s): Pune

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Keyskills:   algorithms c++ python natural language processing machine learning artificial intelligence javascript software design and development deep learning tensorflow java gcp computer vision pytorch aws programming communication skills ml architecture

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