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We are staffing a fulltime position as a Senior Machine Learning Ops Engineer (REMOTE POSITION) for a growing organization with great benefits.  This person will work Machine Learning Engineers and Data Scientists to build, scale, and maintain AI/ML training and scoring pipelines.  This person will support assessment and research of incorporating AI-DevOps and AI-ops into our infrastructure. This person will work with architectures and the CTO team to assess and research technologies, AWS services, and frameworks for our Cloud & DevSecOps pipelines.

Duties include:

    • Implementing large-scale data ecosystems including data management, governance, and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
    • Developing end-to-end (Data/Dev/ML) Ops pipelines based on in-depth understanding of cloud platforms, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably
    • Operationalizing and monitoring ML models using high end tools and technologies
    • Maintaining current data product APIs, releasing ML models on a regular cadence, building capability of continuous training and monitoring
    • Explaining model behavior/results to both Technical and Non-Technical Audiences
    • Understanding customer requirements and project KPIs
    • Implementing various development, testing, automation tools, and IT infrastructure
    • Defining and setting development, test, release, update, and support processes for DevOps operation
    • Demonstrating the technical skill to review, verify, and validate the software code developed in the project
    • Troubleshooting techniques and fixing the code bugs
    • Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
    • Encouraging and building automated processes wherever possible
    • Participating in incidence management and root cause analyses
    • Coordinating and communicating within the team and with customers
    • Selecting and deploying appropriate CI/CD tools

Requirements include:

    • Must be eligible to work in the US without sponsorship.
    • Master’s Degree or equivalent in experience in Engineering, Computer Science, or related field
    • 5+ years working in software development, preferably related to ML or Data Science
    • 3+ years of experience in AWS cloud data architecture and big data technologies, including EMR, Databricks, Hive, Spark, AWS Glue, Athena, and Redshift
    • Striving for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
    • Experience working in AWS
    • Experience working on Linux based infrastructure
    • Experience working with IaC tools such as Terraform, Ansible, AWS CloudFormation
    • Experience setting up AuthN and AuthZ systems, including Active Directory, Okta, and AWS IAM Policies/Roles using attribute-based access controls
    • Strong experience with Python, PySpark, R, RStudio, and SageMaker
    • Experience configuring and managing databases such as Hive, MySQL, MongoDB
    • Experience with Docker, ECS, and EKS
    • Familiarity with data mining, supervised, and unsupervised learning methodologies including data dimensionality reduction, correlation analysis, linear regression, PCA, clustering, random forest, etc.
    • Familiarity with AI/ML libraries such as scikit-learn, SparkML, TensorFlow, PyTorch
    • Excellent troubleshooting skills
    • Working knowledge of various tools, open-source technologies, and cloud services
    • Awareness of critical concepts in Security, DevOps and Agile principles

Compensation includes an excellent salary, full healthcare benefits, performance bonus, and a flexible leave policy.