What are the responsibilities and job description for the Data and Machine Learning Engineer position at APN Consulting Inc?
Job Details
APN Consulting, Inc. is a progressive IT staffing and services company offering innovative business solutions to improve client business outcomes. We focus on high impact technology solutions in ServiceNow, Fullstack, Cloud & Data, and AI / ML. Due to our globally expanding service offerings we are seeking top-talent to join our teams and grow with us.
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
Direct Client Requirement
Position: Data and Machine Learning Engineer
Location: Remote
Type: Full Time/Permanent
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 Client's and non-Client's 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 Client's 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 Client's 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 ongoing projects to deliver solutions used by our customers, volunteers, and other Operation Units.
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.
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