Lead Machine Learning Engineer

ESEN; Çankaya; Hybrid; TRY 600,000 - 900,000; Full time

Job summary

ESEN seeks a senior Machine Learning Engineer with a strong background in digital signal processing and defense-related projects. The role requires 10+ years in ML, hands-on ML/DL development, and experience with RF systems and signal processing within EW/SIGINT domains.

You will lead ML solution design, research, and implementation while collaborating across teams. International travel may be required for project delivery and client support.

Qualifications

• MS or higher degree in Electrical Engineering or related field.
• 10+ years of professional ML experience, preferably with signal processing.
• Hands-on software development and/or applied ML research experience.
• Strong programming skills in Python, C, C++, or Java.
• Experience with data science tools and Python libraries (NumPy, SciPy, scikit-learn).
• Proficiency with deep learning frameworks (TensorFlow, PyTorch, Keras).
• Analytical, problem-solving mindset with clear communication.
• Defense industry experience, EW/SIGINT preferred.
• Hands-on experience in EW/SIGINT domains such as RF, signal processing, military comms.
• Willingness to travel internationally.

Responsibilities

• Develop ML/DL algorithms for digital signal processing applications.
• Lead concept development, literature research, design, analyze, and implement ML solutions.
• Apply expertise in conventional signal processing and ML to build cutting-edge solutions.

Skills

10+ years ML experience

Software development / applied ML

Programming in Python, C, C++, Java

Signal processing / ML applications

Defense EW/SIGINT experience

Strong analytical & problem-solving

Strong communication skills

Travel internationally

Education

MS in Electrical Engineering or related field

Tools

NumPy

SciPy

scikit-learn

TensorFlow

PyTorch

Keras

Job description

• MS, or higher degree in Electrical Engineering, or a related field,
• 10+ years of professional experience in Machine Learning (ML), preferably involving ML applications in signal processing,
• Hands-on experience developing software and/or performing applied research in machine learning and deep learning,
• Strong programming skills in Python, C, C++, or Java
• Experience with data science tools and Python libraries such as NumPy, SciPy, scikit- learn
• Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or Keras
• Excellent analytical and problem-solving abilities, with a positive and innovative mindset
• Strong communication skills with the ability to clearly explain insights and share knowledge with others,
• Experience in the defense industry, preferably in Electronic Warfare (EW) and/or Signals Intelligence (SIGINT) projects,
• Hands-on involvement in EW/SIGINT-related domains such as RF systems, signal processing, or military communication systems,
• Flexible to travel internationally for business when required.

Qualifications

• MS, or higher degree in Electrical Engineering, or a related field,
• 10+ years of professional experience in Machine Learning (ML), preferably involving ML applications in signal processing,
• Hands-on experience developing software and/or performing applied research in machine learning and deep learning,
• Strong programming skills in Python, C, C++, or Java
• Experience with data science tools and Python libraries such as NumPy, SciPy, scikit- learn
• Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or Keras
• Excellent analytical and problem-solving abilities, with a positive and innovative mindset
• Strong communication skills with the ability to clearly explain insights and share knowledge with others,
• Experience in the defense industry, preferably in Electronic Warfare (EW) and/or Signals Intelligence (SIGINT) projects,
• Hands-on involvement in EW/SIGINT-related domains such as RF systems, signal processing, or military communication systems,
• Flexible to travel internationally for business when required.

Responsibilities

• Develop innovative machine learning and deep learning algorithms for digital signal processing applications,
• Lead concept development, conduct literature research, and design, analyze, and implement ML solutions and pipelines,
• Apply expertise in both conventional signal processing and machine learning to build cutting-edge solutions.