ML Engineer

Overview

Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - long term

Skills

JD
Python
Amazon Web Services
MOS
Machine Learning Operations (ML Ops)
Research
Data Mining
Extraction
Algorithms
Analytical Skill
Management
Machine Learning (ML)
Artificial Intelligence
DS
DirectShow
Statistics
Mathematics
Computer Science
Data Science
Data Analysis
Analytics
Evaluation
Scalability
Statistical Models
SQL
Health Care
Customer Service
Oracle UCM
SANS
WebKit

Job Details

ML Engineer
Location: Remote


No H1B
JD:

Duration: 12 + Mos

This is for an ML Engineer to build out, implement, deploy models built by the data scientists

Must have strong Python and AWS

CANDIDATES MUST BE ABLE TO DRIVE TO THE SITE. IN OFFICE, RESTON, VA - ONCE EVERY 2 MOS!!!!

PURPOSE:
Leads proliferation of machine learning and artificial intelligence throughout the enterprise. Identifies and solves business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining. Uses advanced analytical capabilities to support data science initiatives. Communicates across product teams and with customers and educates on artificial intelligence, machine learning, and statistical models. Leads interactions between analytics, business units and other departments.

ESSENTIAL FUNCTIONS:
20% Leads all data mining and extraction activities and applies algorithms to derive insights.

15% Synthesizes analytical findings for consumption by the teams and senior executives.

15% Leads proliferation of machine learning and artificial intelligence solutions.

15% Applies artificial intelligence techniques to achieve concrete business goals while managing limited resources and constraints around data.

15% Mentors and develops junior data scientists for advanced data analysis.

10% Translates business priorities and creates data science deliverables.

10% Leads implementation of ML/AI/DS best practices for new data products and builds robust and scalable software.

Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable
accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education Level: Bachelor's Degree

Education Details: Statistics, Mathematics, Computer Science or related field

Experience: 8 years of relevant work experience.

In Lieu of Education
In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.

Preferred Qualifications
Knowledge, Skills and Abilities (KSAs)
Ability to communicate effectively and document objectives and procedures., Expert
Ability to leverage a wide variety of data science tools and frameworks., Expert
Ability to support data exploration and data analysis tasks in support of analytics objectives., Expert
Knowledge in model evaluation, tuning and performance, operationalization, and scalability of scientific techniques., Expert
Proficiency in statistical modeling applications., Expert
Proficiency in advanced SQL in multiple syntaxes., Expert

The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes them ineligible to perform work directly or indirectly on Federal health care programs. Must be able to effectively work in a fast-paced environment with frequently changing priorities, deadlines, and workloads that can be variable for long periods of time. Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.


Navnish kumar

Sr. IT Technical Recruiter

Stellent IT Phone:

Email: navnish

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.