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    Job · 19105013

    BENGALURU · FULLTIME

    Machine Learning Engineer II

    Barracuda Networks logo

    Barracuda Networks

    Bengaluru · onsite · Posted 27d ago

    Sourced fromNaukri
    Undisclosed2–4 yrsfulltimeBengaluru

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    Section · 01

    About this role

    Job Description
    Come join our passionate team! Barracuda is a leading cybersecurity company providing complete protection against complex threats. Our platform protects email, data, applications, and networks with innovative solutions, and a managed XDR service, to strengthen cyber resilience. Hundreds of thousands of IT professionals and managed service providers worldwide trust us to protect and support them with solutions that are easy to buy, deploy, and use.
    We know a diverse workforce adds to our collective value and strength as an organization. Barracuda Networks is proud to be an employer that complies with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity regardless of race, gender, religion, sex, sexual orientation, national origin, or disability.
    Envision yourself at Barracuda:
    We are looking for a talented Machine Learning Engineer II to join our growing team and help us develop cutting-edge Machine Learning detection solutions for our email protection products. As part of the Efficacy engineering team, you will be responsible for designing and implementing innovative machine learning algorithms that can analyze vast amounts of data and detect threats in real-time. You will be part of a team that is responsible for detecting email threats across our customers. You possess strong technical hands-on experience in delivering use cases and detection rules for multiple attack vectors through Machine learning. You help by developing detection methods to make sure we can identify potential threats and take action to stop them. This is an excellent opportunity to work with an elite team of security engineers and make a real impact in the field of cybersecurity. You will collaborate with other team members every day. Being a team player is necessary for being successful in this role along with having an innovative and forward-facing mindset. You will be a leader within the team and act as a mentor to other team members.
    What youll be working on:
    • Analyze vast amounts of data to identify threats and devise innovative algorithms to detect them in real-time
    • Research and develop new email threat detections to support the ever-changing cyber space
    • Build and train machine learning classifiers to detect attacks across our email protection products
    • Evaluate the performance of your algorithms and continuously optimize them
    • Collaborate with an elite team of machine learning and software engineers to scale your algorithms and bring them to production
    • Leverage the latest AI to accelerate delivery of detection solutions
    • Work with cutting-edge technologies in a fast-paced environment
    • Communicate clearly and effectively, both written and orally, the risks that exist and remediations required for any security incident.
    • Work collaboratively and independently on unique or special assignments which may require specialized knowledge and/or experience
    What you will bring to the role:
    • Bachelors degree in computer science or electrical engineering. An advanced degree is a plus; or equivalent work experience
    • 2-4 years of experience in creating and maintaining machine learning models
    • Proven track record in developing production-grade machine learning algorithms that solve practical problems
    • 2+ years of experience in analyzing large structured and unstructured data using Python (or other relevant languages)
    • Visceral understanding of probability and supervised/unsupervised learning
    • Experience working with Databricks and SQL.
    • Hands on experience with cloud architecture such AWS or Azure is a plus.
    • Experience with Deep learning is a plus
    • Hands-on experience with MLOps tools (MLFlow) for model deployment and inference is a plus.
    • Experience with Identity Access Graph/Knowledge graphs and Graph modelling is a huge plus.
    • Experience in cybersecurity is a plus
    • Experience using AI features for model inference LLMs, RAG systems, and evaluation frameworks is a plus
    • Entrepreneurial spirit and extreme sense of ownership
    • Deep desire to make our customers happy and provide best-in-class machine learning detections
    What you ll get from us:
    A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility - there are opportunities for cross training and the ability to attain your next career step within Barracuda.


    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.

    Sourced from naukri

    Section · 02

    Skills

    Retrieval Augmented GenerationCyberModel DeploymentmlflowMLOpsamazon web servicesKnowledge Graphsdeploymentelectrical engineeringDatabricksPythoncloudSQLResearchCyber SecurityAlgorithmsArchitectureDeep LearningMicrosoft AzureCloud ArchitectureArtificial IntelligenceMachine Learning

    Section · Company

    About Barracuda Networks

    Barracuda Networks logo

    Barracuda Networks

    IT Services & Consulting

    75

    employees

    2004

    22 years old

    Canada

    headquarters

    About

    At Barracuda we strive to make the world a safer place. We believe every business deserves access to cloud-enabled, enterprise-grade security solutions that are easy to buy, deploy, and use. We protect email, networks, data, and applications with innovative solutions that grow and adapt with our customersjourney. More than 150,000 organizations worldwide trust Barracuda to protect them in ways they may not even know they are at risk so they can focus on taking their business to the next level.

    Industries

    IT Services & ConsultingHardware & NetworkingSoftware Product

    Employee ratings

    68 reviews

    3.4/ 5

    Culture

    3.3

    Career growth

    3.1

    Work-life

    3.4

    Employees rate it well for

    Senior Management8Work Life Balance8Job Security6Salary6Work Culture5

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