Manager, AI Engineering

Posted 11 Hours Ago
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Hiring Remotely in Pune, Maharashtra
Remote
Hybrid
Senior level
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
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The Role
The Manager will build and lead a team of Data Scientists and AI Engineers to develop AI-driven security solutions and collaborate with product and engineering teams.
Summary Generated by Built In

Manager, AI Engineering
About the Team
The AI Center of Excellence team includes Data Scientists and AI Engineers that work together to conduct research, build prototypes, design features and build production AI components and systems. Our mission is to leverage the best available technology to protect our customers' attack surfaces. We partner closely with Detection and Response teams, including our MDR service, to leverage AI/ML for enhanced customer security and threat detection. We operate with a creative, iterative approach, building on 20+ years of threat analysis and a growing patent portfolio. We foster a collaborative environment, sharing knowledge, developing internal learning, and encouraging research publication. If you're passionate about AI and want to make a major impact in a fast-paced, innovative environment, this is your opportunity.
We use:

  • Python for analysis and modeling, taking advantage of numpy and pandas for data wrangling.
  • Jupyter notebooks (locally and remotely hosted) as a computational environment
  • Sci-kit learn for building machine learning models
  • Anomaly detection methods to make sense of unlabeled data
  • AWS for hosting our research environments, data, POCs and features
  • EKS to deploy applications
  • Terraform to manage infrastructure


About the Role
As a Manager in the AI Center of Excellence you will be building and leading a team of Data Scientists and AI Engineers to conduct research into new security detections, enhancing existing models that power product features, and identifying new areas of opportunity. First and foremost, you will coach and grow the individuals on your team so they feel supported and engaged. You will work closely with our product and engineering teams to transform this research and these proofs of concept into shipped and deployed product features.
In this role, you will:

  • Work with local talent acquisition partners to hire a team of skilled Data Scientists and AI Engineers
  • Plan and prioritize the team's cutting-edge research & projects, working closely with Product Management to coordinate and execute on engineering roadmaps
  • Actively track progress on roadmap goals, proactively identifying & communicating potential delays or issues
  • Take an active role in the career development of your team members
  • Connect the members of your team to members of the wider AI Center of Excellence team, as well as to members of other supporting teams, when problems arise
  • Keep your security knowledge and data analysis skills up to date and in line with the work your team is doing


The skills you'll bring include:

  • 10+ years experience working within Software Engineering or Data Science including 3+ years experience in managing engaged and high performing teams with a track record in developing and mentoring software engineers at all levels
  • Strong cross-functional skills, with the ability and desire to build relationships with other teams including Product Management, UX and engineering teams to achieve broader company objectives
  • Experience with managing multiple, high-impact projects and delivering on schedule
  • Experience working with remote teams and individuals while ensuring agility and velocity
  • A strong sense of ownership and responsibility for the quality of the work your team produces
  • A customer centric approach with the ability to drive that throughout your teams, understanding the customers needs and drivers and putting the customer at the forefront of all decision making
  • Ability to manage through high-intensity situations when they arise


Experience with the following would be advantageous:

  • Relevant experience in predictive modeling, anomaly detection, including recent Python experience with an ability to work independently with minimal guidance
  • Expertise with tools such as Jupyter, pandas, sci-kit learn, git, Sagemaker and AWS services
  • Experience in the security industry
  • Experience building data science pipelines at scale (in AWS)
  • Shipped, managed, and improved models in production
  • Experience building engineering teams from the ground up


We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today.
About Rapid7
At Rapid7, we are on a mission to create a secure digital world for our customers, our industry, and our communities. We do this by embracing tenacity, passion, and collaboration to challenge what's possible and drive extraordinary impact.
Here, we're building a dynamic workplace where everyone can have the career experience of a lifetime. We challenge ourselves to grow to our full potential. We learn from our missteps and celebrate our victories. We come to work every day to push boundaries in cybersecurity and keep our 10,000 global customers ahead of whatever's next.
Join us and bring your unique experiences and perspectives to tackle some of the world's biggest security challenges.
#LI-MS

Top Skills

AWS
Eks
Jupyter
Numpy
Pandas
Python
Sci-Kit Learn
Terraform

What the Team is Saying

Priya
Sammi
Tara
John
Grace
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The Company
HQ: Boston, MA
2,400 Employees
Hybrid Workplace
Year Founded: 2000

What We Do

At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what’s possible and drive extraordinary impact. We’re building a dynamic and collaborative workplace where new ideas are welcome.

Protecting 11,000+ customers against bad actors and threats means we’re continuing to push the envelope - just like we’ve been doing for the past 20 years. If you’re ready to solve some of the toughest challenges in cybersecurity, we’re ready to help you take command of your career.

Join us.

Why Work With Us

With our products, research, and open source communities, we’re building a secure digital future for everyone. This means constantly learning and evolving in an industry that’s anything but stagnant. You’ll be faced with tough challenges, and given the support to find creative solutions that drive our business, and your career forward.

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Rapid7 Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our default working model is hybrid, with employees working three days per week in the office. This approach underpins our commitment to flexibility and adaptability while supporting our dedication to development, teamwork and customer purpose.

Typical time on-site: 3 days a week
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