AI & Embedded System Engineer

1 week ago

Gurgaon, Haryana, India Inxee Systems Private Limited Full time

Position Title:
AI & Embedded Systems Engineer

Location:
Gurgaon

Job Description:

We're looking for an innovative and technically strong
R&D Engineer – AI & Embedded Systems
with expertise in
Python, AI, and Machine Learning
, combined with a solid understanding of
C/C++ and Linux programming
. The ideal candidate will bridge the gap between
data science and embedded systems
, contributing to intelligent product development and advanced analytics solutions.

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
    .

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