Lead Machine Learning Developer
Bengaluru, India
Arctic Wolf
Arctic Wolf delivers dynamic, 24x7 AI-driven cybersecurity protection tailored to the needs of your organization. Ready to boost your cyber resilience?At Arctic Wolf, we're not just navigating the cybersecurity landscape - we're redefining it. Our global team of dedicated Pack members is driving innovation and setting new industry standards every day. Our impact speaks for itself: we've earned recognition on the Forbes Cloud 100, CNBC Disruptor 50, Fortune Future 50, and Fortune Cyber 60 lists, and we recently took home the 2024 CRN Products of the Year award. We’re proud to be named a Leader in the IDC MarketScape for Worldwide Managed Detection and Response Services and earning a Customers' Choice distinction from Gartner Peer Insights. Our Aurora Platform also received CRN’s Products of the Year award in the inaugural Security Operations Platform category. Join a company that’s not only leading, but also shaping, the future of security operations.
Lead ML Developer
The Lead ML Developer will be responsible for the design and development of complex and exciting platforms in our Arctic Wolf Labs department. They will drive the technical roadmap of the AI/ML platforms at Arctic Wolf and enable the AI/ML teams to contribute to our Security Research and Threat Intelligence products and initiatives, and will develop cutting-edge systems, services, and frameworks for Arctic Wolf Labs. We are looking for a developer with a strong foundation of AI/ML concepts and workflows to join our pack, support a practice that will continuously evolve and expand the capabilities of our data science team, and contribute to our security products and services.
Arctic Wolf Labs is the research-focused division at Arctic Wolf focused on advancing innovation in the field of security operations. The mission of Arctic Wolf Labs is to develop cutting-edge technology and tools that are designed to enhance the company’s core mission to end cyber risk, while also bringing comprehensive security intelligence to Arctic Wolf’s customer base and the security community-at-large. Leveraging the more than six trillion security events the Arctic Wolf Security Operations Cloud ingests, parses, enriches, and analyzes each week, Arctic Wolf Labs is responsible for performing threat research on new and emerging adversaries, developing advanced threat detection models, and driving improvement in the speed, scale, and detection abilities of Arctic Wolf’s solution offerings. The Arctic Wolf Labs team comprises security and threat intelligence researchers, data scientists, security development engineers with deep domain knowledge in artificial intelligence (AI), security R&D, as well as advanced threat offensive and defensive methods and technologies. Security Research Services Development partners with these groups to understand requirements, design & implement scalable, fault-tolerant solutions, and build the next generation of security capabilities for Arctic Wolf.
As A Lead ML Developer At Arctic Wolf, You Will:
· Support R&D of distributed, highly scalable, and fault-tolerant microservices
· Use test-driven development techniques to develop beautiful, efficient, and secure code
· Create and scale high-performance services that bring new capabilities to Arctic Wolf’s data science organizations
· Execute on deliverables on the roadmap of ML engineering, modeling, and operations at Arctic Wolf
· Influence the work of team members, and mentor emerging technical leaders.
· Develop trusted cross-team relationships to deliver solutions that span multiple areas of expertise
· Identify problems proactively and propose novel solutions to solve them
· Continuously learn and expand your technical horizons
Our mission is simple: End Cyber Risk. We’re looking for a Senior Principal Developer to be part of making that happen.
We’re Looking For Someone Who:
· Will collaborate closely with our data science and ML teams across different cybersecurity domains to define ML infrastructure requirements and build critical data services
· Can leverage MLOps best practices to design and develop scalable model training, evaluation, experimentation and deployment workflows
· Has extensive experience in ML training (local and distributed), feature extraction, dataset creation
· Is comfortable deploying software with CI / CD tools including Jenkins, Harness, Terraform etc.
· Is an expert at developing and deploying assets in the cloud - preferably AWS and Kubernetes using IAC (infrastructure as code)
· Can build a workflow orchestration platform to be used by other developers
· Has hands-on experience of 2+ years implementing data pipeline infrastructure for data ingestion and transformation near real-time availability of data for applications and ML pipelines
· Has experience designing optimized solutions for ingestion, curation of large datasets
· Has working knowledge of Data Lake technologies, data storage formats (Parquet, ORC, Avro), and query engines (Athena, Presto, Dremio) and associated concepts for building optimized solutions at scale
· Maintains a proficient level in one of the following programming languages or similar- Python, Java, Go
· Has experience with data pipelines tools (Flink, Spark or Ray) and orchestration tools such as Airflow, Dagster or Step Functions
· Is an expert in implementing data streaming and event-based data solutions (Kafka, Kinesis, SQS/SNS or the like)
About the Company
At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (2021-2024), Best Places to Work – USA (2021-2024), Great Place to Work – Canada (2021-2024), Great Place to Work – UK (2024), and Kununu Top Company – Germany (2024). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 7,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry.
Our Values
Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion, and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking to end cyber risk— we get to work in an industry that is fundamental to the greater good.
We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here.
We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities.
All wolves receive compelling compensation and benefits packages, including:
· Equity for all employees
· Flexible annual leave, paid holidays and volunteer days
· Training and career development programs
· Comprehensive private benefits plan including medical insurance for you and your family, life insurance (3x compensation), and personal accident insurance.
· Fertility support and paid parental leave
Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law. Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities. As such, we strive to make our entire employee experience as accessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs where possible. Please let us know if you require any accommodations by emailing recruiting@arcticwolf.com.
Security Requirements
· Conducts duties and responsibilities in accordance with AWN’s Information Security policies, standards, processes and controls to protect the confidentiality, integrity and availability of AWN business information (in accordance with our employee handbook and corporate policies).
Background checks are required for this position.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Athena Avro AWS Dagster Data pipelines Engineering Flink Java Jenkins Kafka Kinesis Kubernetes Machine Learning Microservices ML infrastructure MLOps Model training Parquet Pipelines Python R R&D Research Security Spark Step Functions Streaming TDD Terraform
Perks/benefits: Career development Equity / stock options Fertility benefits Flex hours Health care Insurance Medical leave Parental leave Startup environment Team events
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