Be an early applicantLess than 25 applicants

Company

DDN Storage · 7 hours ago

Sr. ML Engineer

United States

Full-time

Remote

Senior Level

7+ years exp

Maximize your interview chances

Artificial Intelligence (AI)Big Data

H1B Sponsor Likely

Insider Connection @DDN Storage

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Design and deploy large-scale AI/ML training pipelines using open-source tools such as Apache Spark and Apache Airflow.

Integrate MLflow with DDN’s Infinia product for tracking and managing machine learning experiments, model versioning, and deployment.

Implement and scale Retrieval-Augmented Generation (RAG) pipelines to enable efficient retrieval of knowledge for generative models.

Automate, monitor, and optimize the end-to-end ML workflows and pipelines for production-grade applications.

Work collaboratively with cross-functional teams including data science, engineering, and product to operationalize AI/ML models.

Maintain and improve CI/CD pipelines for ML models, ensuring smooth transitions from research to production environments.

Utilize cloud platforms (AWS, GCP, or Azure) for scalable infrastructure management.

Monitor and troubleshoot pipeline performance issues, implementing solutions to optimize runtime and resource usage.

Ensure best practices in version control, containerization (Docker, Kubernetes), and infrastructure as code (Terraform, Ansible).

Keep up-to-date with the latest developments in MLOps, AI/ML frameworks, and tooling.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine Learning OperationsApache SparkApache AirflowMLflowAI/ML PipelinesTensorFlowPyTorchNVIDIA NeMoCloud InfrastructureDockerKubernetesInfrastructure as CodeAWSGCPAzureData Processing SolutionsNLP Techniques

Required

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related fields.

7+ years of experience in machine learning operations (MLOps) or related roles.

Extensive experience with Apache Spark, Apache Airflow, and MLflow or equivalent.

Proven expertise in building and scaling AI/ML pipelines.

Strong understanding of machine learning frameworks and libraries (TensorFlow, PyTorch, NVIDIA NeMo).

Experience in deploying open-source vector databases at scale.

Solid understanding of cloud infrastructure (AWS, GCP, Azure) and distributed computing.

Proficiency with containerization tools (Docker, Kubernetes) and infrastructure as code.

Excellent problem-solving and troubleshooting skills, with attention to detail and performance optimization.

Strong communication and collaboration skills.

Preferred

Experience with large-scale data processing and storage solutions (Hadoop, Hive, HDFS).

Knowledge of NLP techniques and tools for model deployment.

Company

DDN Storage

DDN is the world’s largest private data storage company and the leading provider of intelligent technology and infrastructure solutions for data-centric organizations.

Founded in 1998

Chatsworth, California, USA

501-1,000 employees

http://www.ddn.com

H1B Sponsorship

DDN Storage has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (1)

2022 (1)

2021 (6)