Machine Learning Intern-Onsite (No Remote or Hybrid is Available For This Internship)

An extraordinarily talented group of individuals work together every day to drive TNS' success, from both professional and personal perspectives.  Come join the excellence!

Overview

We develop cutting-edge mobile telecommunication applications that protect users on the largest mobile networks worldwide. As an intern, you'll implement applications to aid our fraud/scam detection systems, working within a cross-discipline development team to support product integration and validation.

Responsibilities

Internship Overview:

• Duration: Approximately 3 months
• Skills Required: Background in data analytics, machine learning, software development, analytical and problem-solving skills, effective communication, and the ability to work collaboratively in a team environment.

What You'll Learn:

• Design and Implementation: Develop software modules to enable feature engineering and ML training pipelines.
• Agile Environment: Participate in an agile team with representatives from design, product, QA, and project management.
• Communication: Proactively engage with team members and produce technical documentation.
• Quality Assurance: Create components that meet company standards, implement unit tests, and conduct code reviews.
• Mentorship: Work under the guidance of a principal data scientist who will act as your mentor.

Preferred Qualifications that Will Put You Ahead:

• Education: Pursuing a degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, with at least two years of study completed.
• Technical Skills:
  • Basic to intermediate development courses in Data Science/ML/AI or a related language.
  • Knowledge of ML frameworks (tensorflow, pytorch).
  • Familiarity with programming Python.
• Software Development Lifecycle: Understanding of scoping, planning, conception, design, implementation, deployment, and maintenance.
• For this role, we anticipate paying $18 - $22 per hour. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate’s knowledge, skills, abilities, and geographic location.

Qualifications

If you are passionate about technology, love personal growth and opportunity, come see what TNS is all about!

TNS is an equal opportunity employer. TNS evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.