Machine Learning Engineer

C2C
  • C2C
  • Anywhere

Greetings from Panzer Solutions! I am a Certified LinkedIn Recruiter, and we have been serving clients and candidates in the industry for over a decade. Please review the requirements below and let me know if you are interested in exploring this opportunity further.

 

Machine Learning Engineer

Location: Onsite — Philadelphia PA

Rate: $55/hr on C2C

 

 

MINIMUM QUALIFICATIONS:

Master’s degree in electrical engineering good communication skills

8+ years of experience in speech and audio algorithm development

Programming in C, MATLAB. Python is a plus Experience developing real-time audio processing software

 

Required Skills & Expertise:

Core Skills:

Digital Signal Processing (DSP)

Machine Learning (ML)

Technical Proficiencies:

MATLAB – Daily use for DSP development

Python – For ML algorithms and development

C Programming – Essential for embedded signal processor software

Noise Reduction Techniques – Practical experience required

 

Preferred Background:

Educational & Career Background:

Strong background in Electronic Systems Engineering or related fields.

Experience:

8+ years of relevant experience (flexible for exceptional candidates).

Communication:

Clear and effective communication skills are essential.

 

Job Description

Responsible for developing speech enhancements algorithms for use in multi-microphone far-field applications such as a voice assistant. Experience with acoustic spatial signal processing is desired, including techniques such as acoustic beamforming, source localization, blind source separation, and noise reduction. Deep machine learning experience is a plus.

This position typically requires a master’s degree in electrical engineering and more than 8 years of experience in the field or in a related area.

Technical creativity is required. The ability to study existing techniques and subsequently enhance and adapt these techniques to meet the needs and constraints of our products is critical.

The candidate will be involved in the process of reducing an algorithm to practice in software for use in a real-time application. The candidate will also be involved in testing algorithms and comparing test results.

 

Warmest Regards,

 

Mahesh Kumar

Team Lead – Talent Acquisition

Panzer Solutions — National Technology Accounts

Hours of operation: Monday-Friday 9am-5pm EST

Connect with me: Email: mahesh.kumar@panzersolutions.com | LinkedIn

Panzer Solutions LLC | 50 Washington Street, 9th Floor, SONO Corporate Center | Norwalk CT 06850

📧 Email is the best way to reach me

Celebrating 13 Years

 

 

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From:
Mahesh Kumar,
Panzer Solutions LLC
mahesh.kumar@panzersolutions.com
Reply to:   mahesh.kumar@panzersolutions.com