Machine Learning Engineer

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. Responsibilities : - 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 : - 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, and 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 pipeline 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). (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 5/9/2025