Duration: 8 months

Location: Hybrid – onsite 3-4 days, Philadelphia, Pennsylvania

Overview

Every Turnberry consultant belongs to a practice, an internal group of consultants and leaders with shared experience and expertise. Each of these practices aligns to one of the core services Turnberry offers to clients. As a Machine Learning Engineer, you will join Turnberry's Digital Modernization practice, where technology and strategy combine to deliver exceptional digital experiences, empowering organizations to thrive in today's digital market.

Responsibilities

Implements, refines, and validates machine learning algorithms for products and applications. - Designs and develops data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring.
Trains machine learning models, validates the accuracy of the machine learning models once trained, and deploys validated machine learning models into production.

– Designs proof of concept solutions and contributes to studies to support future product or application development.

Researches, writes, and edits documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations, and reports.
Tests and evaluates solutions. Completes case studies, testing, and reporting.

– Collaborates with teams outside of immediate work group. Represents the work team in providing solutions to technical issues associated with assigned projects.

Designs proof of concept solutions and contributes to studies to support future product or application development.

Qualifications

– Bachelor’s degree in computer science, computer engineering, mathematics, related technical discipline, or related industry experience

– Experience with machine learning, deep learning, data mining, and/or statistical analysis tools and how to deploy and monitor machine learning models.

– Strong programming and software development skills and familiarity with Python, Java or Scala.

– Knowledge of data pipeline and cloud technologies such as Kafka, Spark, and Docker.

– 3-5 years related experience after Bachelors, or a recent Master’s degree desired.

The salary range for this role is $80,000 to $160,000 or the hourly equivalent. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Turnberry Solutions offers benefits such as a comprehensive healthcare package (medical, dental, vision), disability and group term life insurance, health and flexible spending accounts, a utilization bonus, 401(k) with match, flexible time off for salaried employees, parental leave for salaried employees, and flexible work arrangements (all benefits are subject to eligibility requirements). No matter where or when you begin a career with Turnberry, you'll find a far-reaching choice of benefits and incentives.

At Turnberry, we are committed to creating a positive and connected work environment for all and are fully invested in and focused on hiring and growing a diverse team of high performers. We believe that uniqueness in ideas, experiences, and backgrounds make us a better Turnberry: Turnberry is an Equal Employment Opportunity employer, and recruits, employs, trains, compensates, and promotes regardless of age, ancestry, family medical or genetic information, gender identity and expression, marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics.

Americans With Disabilities Act (ADA)

Turnberry will provide reasonable accommodation with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please send an email to our Human Resources department at turnberryhr@turnberrysolutions.com.

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