AI & Embedded System Engineer

Position Title:

Location:

Python, AI, and Machine Learning

Key Responsibilities:

• Develop and implement

  Machine Learning and Deep Learning models

  for predictive analytics and intelligent automation.
• Work on

  AI-driven embedded applications

  , optimizing algorithms for edge devices.
• Utilize strong programming skills in

  Python, C, and C++

  for data processing, model training, and deployment.
• Collaborate with cross-functional teams to integrate

  AI/ML algorithms

  into real-time systems and products.
• Manage and analyse large datasets, ensuring data integrity, preprocessing, and feature engineering.
• Customize

  Linux environments

  for data-centric processing and performance tuning.
• Apply advanced statistical methods, data visualization, and model evaluation techniques.

Technical Expertise:

• Programming:

  Python, C, C++, Linux

• Machine Learning:

  TensorFlow, Porch, scikit-learn, OpenCV

• Embedded AI:

  Edge AI deployment, model optimization, hardware acceleration

• Microcontrollers:

  8-bit, 16-bit, ARM architectures

• Protocols:

  I2C, SPI, UART, USB, CAN, RS-232

• Other Skills:

  Data preprocessing, feature engineering, model tuning, version control (Git), Linux scripting

Preferred Qualifications:

• Bachelor’s /master’s degree in computer science, Electronics, or related fields.
• 2–3 years of experience in

  Data Science, AI/ML development, or Embedded AI systems

  .
• Strong problem-solving ability and understanding of both

  software algorithms and hardware constraints

  .