We centralize all of the alerts and notifications, so you never miss a thing.
We route alerts to the right people at the right time, so you can respond quickly and effectively.
We help you collaborate and communicate with your team members and stakeholders, so everyone is on the same page.
We provide you with the insights you need to learn from incidents and prevent them from happening again.
Collaborate with DevOps and Engineering teams to understand the architecture and systems generating alerts.
Design and implement machine learning models for alert correlation to identify and group alerts stemming from the same root cause.
Develop algorithms to prioritize and present correlated alerts to users, enabling efficient incident response.
Conduct in-depth analysis of incident data to identify patterns and trends leading to root causes.
Build machine learning models to automate root cause analysis, reducing manual effort and accelerating incident resolution.
Work closely with Data Engineers to integrate data pipelines and ensure the availability of relevant data for analysis.
Your models will have revolutionized the way production engineers manage major incidents through and dramatically reduced the downtime
You will have mastered a host of open source technologies
You will know all you need to know about how startups work
You will have networked with some of the top investors and subject matter experts in the country
You will see your friends and family using the technology you create
You will have built long lasting relationships with your co-workers
You will be able to chug a can of Beer or Red Bull in a second
You hold a Bachelor's or Master's degree in Computer Science Engineering.
You have proven experience in developing and deploying machine learning models in a production environment.
You have strong programming skills in languages such as Python or Java.
You possess a good breadth of algorithmic and data structures knowledge.
You are research oriented and are able to grasp concepts and languages quickly.
You are a team player who is driven by passion for learning and making a difference.
Why join us? We're a fast-growing SaaS company backed by some of the best SaaS VCs and Angel investors in India and the US.
We're a team of passionate engineers and product people who are dedicated to helping our customers succeed.
We believe in creating a positive and productive work environment for our employees.
We offer competitive salaries and benefits, and we are committed to helping our employees grow and develop their careers.
If you are a talented and experienced ML Engineer who is looking for a challenging and rewarding opportunity, we encourage you to apply.
Perks and benefits: Competitive salary
Flexible work hours
Systems and accessories of your choice
Company-sponsored developer events and conferences
Connections with industry experts and tech investors
Comprehensive health insurance.
Game nights every Friday (Cricket, Badminton, D&D, Quizzes, and more)
Unlimited coffee and snacks
Culture: Acknowledge & Own
Bragworthy work
Entrepreneurial
Embrace risk calmly (Zen)
Champion the customer experience
Job Responsibilities
As a Machine Learning Engineer at Zenduty, you will play a pivotal role in enhancing our incident management platform by addressing the critical challenges of Root Cause Analysis and Alert Correlation.
You will work collaboratively with cross-functional teams to develop innovative machine-learning solutions that streamline incident response and improve the overall reliability of our platform.
Location
Bengaluru, Karnataka, India
About Company
Mentorpal is a cutting-edge platform that connects professionals with experienced mentors across various industries. Our mission is to empower individuals to achieve their personal and professional goals by providing them with the guidance, support, and expertise they need to succeed.