Data and Machine Learning Engineer (E5879)

Job Summary
The Data and Machine Learning Engineer develops, maintains, and optimizes end-to-end extract, transform, and load (ETL) processes for large scale structured and unstructured data in data lake, warehouse and repositories. The Data and Machine Learning Engineer leverages data and computing infrastructure, automation and workflow orchestration tools to create data processing steps for machine learning pipelines in production. The Data and Machine Learning Engineer deploys, fine-tunes, and executes machine learning models and turns them into end-to-end production systems.

Key Responsibilities

• Build high-quality, low-latency, cost-effective large-scale data pipelines for ingesting IEEE and non-IEEE data.
• Implement processes for data wrangling, assimilation, and standardization in production.
• Deploy, fine-tune and execute machine learning models in production.
• Build end-to-end data and computing infrastructure for large-scale data and machine learning product operations.
• Passionately advocate for data and analytics capabilities and products and create a vision of success that can be vetted among colleagues to drive future success, articulates the vision, negotiates, persuades, and gains support for strategic initiatives that fit within the overall IEEE strategy.
• Supports data and analytics projects and proof of concepts with third-party providers.
• Ensures analytics alignment and reliable engine output with internal and external stakeholders.
• Keeps critical intellectual property (IP) and know-how about IEEE content within the organization.
• Establishes partners and/or open-source technologies for data and analytics.
• Works in conjunction with Publication Technology Operation Unit to create and manage analytic capabilities and products.
• Collaborates in ongoing projects to deliver solutions used by our customers, volunteers, and other Operation Units.

Qualifications Education

• Master's or other advanced degree Master's degree is preferred in a technical field, Computer Science, Information Technology, or Business Management Pref

Work Experience

• Less than 2 years Req

Skills and Requirements

• Good understanding of data structures and algorithms, ETL processing, large-scale data and machine learning production, data and computing infrastructure, automation and workflow orchestration. (1-2 yrs, req)
• Hands-on experience in Python, Pyspark, SQL, and shell scripting or similar programming languages (1-2 yrs, req)
• Hands-on experience in using cloud-based technologies throughout data and machine learning product development. (1-2 yrs, req)
• Hands-on experience with code versioning, automation and workflow orchestration tools such as Github, Ansible, SLURM, and Airflow (1-2 yrs, req)
• Good Understanding of data warehousing concepts such as data migration and data integration in Amazon Web Services (AWS) cloud or similar platform (1-2 yrs, req)
• Excellent debugging and code-reading skills.
• Documentation and structured programming to support sustainable development.
• Ability to describe challenges and solutions in both technical and business terms.
• Ability to develop and maintain excellent working relationships at all organizational levels.

Other Requirements:
As defined in IEEE Policies, individuals currently serving on an IEEE board or committee are not eligible to apply.

PLEASE NOTE: This position is not budgeted for employer-sponsored immigration support, this includes all persons in F (both CPT and OPT), J, H, L, or O status.

For information on work demands and conditions required for this position, please consult the reference document, ADA Requirements. This position is classified under .

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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Disclaimer: This job description is proprietary to IEEE. It outlines the general nature and key features performed by various positions that share the same job classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties and qualifications required of all employees assigned to the job. Nothing in this job description restricts management’s right to assign or re-assign duties to this job at any time due to reasonable accommodations or other business reasons.

Job: Data & Analytics

Primary Location: United States-New Jersey-Piscataway

Schedule: Full-time

Job Type: Regular

Job Posting: Apr 18, 2025, 1:57:33 PM