Overview
On Site
BASED ON EXPERIENCE
Full Time
Skills
DATA STRUCTURE
DATA-STRUCTURE
DS
MACHINE LEARNING
ML
ETL
PYTHON
PYSPARK
SQL
AWS
AMAZON WEB SERVICES
GIT
SLURM
SHELL
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.
Job Title: Data and Machine Learning Engineer
Location: Piscataway, NJ (Hybrid)
Job Type: Full Time
Direct Client Requirements:
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:
Work Experience
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 ***. 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.
We are committed to fostering a diverse, inclusive, and equitable workplace where individuals from all backgrounds feel valued and empowered to contribute their unique perspectives. We strongly encourage applications from candidates of all genders, races, ethnicities, abilities, and experiences to join our team and help us build a culture of belonging.
Job Title: Data and Machine Learning Engineer
Location: Piscataway, NJ (Hybrid)
Job Type: Full Time
Direct Client Requirements:
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 and non- client 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 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 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.
- 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
- 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.
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.
===
Disclaimer: This job description is proprietary to ***. 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.
We are committed to fostering a diverse, inclusive, and equitable workplace where individuals from all backgrounds feel valued and empowered to contribute their unique perspectives. We strongly encourage applications from candidates of all genders, races, ethnicities, abilities, and experiences to join our team and help us build a culture of belonging.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.