Senior Machine Learning Engineer

Barracuda; Bengaluru Urban; On-site; INR 1,500,000 - 2,000,000; Full time

Benefits offered by this job

High-quality health benefits

Retirement Plan with employer match

Career-growth opportunities

Flexible Time Off

Volunteer opportunities

Job summary

Barracuda is seeking a Senior Machine Learning Engineer to develop cutting-edge machine learning solutions for email protection products. This role involves analyzing data to detect threats in real time and building innovative algorithms that enhance cybersecurity measures.

The ideal candidate will possess hands-on experience in machine learning models and a passion for teamwork and innovation. Opportunities for internal mobility and professional growth are encouraged.

Qualifications

• 4-5 years of experience in creating and maintaining machine learning models.
• Proven track record in developing production-grade machine learning algorithms.
• Experience analyzing large structured/unstructured data using Python.

Responsibilities

• Analyze vast amounts of data to identify threats and devise innovative algorithms.
• Research and develop new email threat detections.
• Build and train machine learning classifiers.

Skills

Machine Learning

Python

Data Analysis

Probability Theory

SQL

Cloud Architecture

Deep Learning

MLOps

Cybersecurity

Education

Bachelor's degree in Computer Science or Electrical Engineering

Advanced degree (preferred)

Tools

Databricks

AWS

Azure

Job description

Envision Yourself At Barracuda

We are looking for a talented Senior Machine Learning Engineer 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 detects 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 ensure 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 success in this role along with an innovative and forward‑facing mindset. You will be a leader within the team and act as a mentor to other team members.

What You’ll 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

• Bachelor’s degree in computer science or electrical engineering. An advanced degree is a plus; or equivalent work experience
• 4‑5 years of experience in creating and maintaining machine learning models
• Proven track record in developing production‑grade machine learning algorithms that solve practical problems
• 4+ 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 as 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.

• High‑quality health benefits
• Retirement Plan with employer match
• Career‑growth opportunities
• Flexible Time Off and Paid Time Off benefits
• Volunteer opportunities