Leadsoc Technologies - AI/ML Software Developer

Job Title : AI/ML Software Developer

Company : Leadsoc Technologies

Experience : 3-5 Years

Notice Period : Immediate to 15 Days

About Leadsoc Technologies :

Leadsoc Technologies is a forward-thinking organization specializing in cutting-edge technology solutions that merge wireless communication systems with artificial intelligence and machine learning. We thrive on innovation and are building next-generation systems that redefine connectivity, efficiency, and performance. We are looking for talented and passionate engineers to join our growing team and contribute to pioneering R&D initiatives.

Role Overview :

We are seeking an AI/ML Software Developer with 35 years of hands-on experience in developing machine learning models, wireless communication concepts, and system-level validation. The ideal candidate will work at the intersection of machine learning, wireless communication, and hardware design, translating theoretical models into practical, deployable solutions. This is a highly collaborative role, requiring close coordination with design engineers, algorithm developers, and hardware teams.

Key Responsibilities :

Data Preparation & Validation :

- Construct real-world setups to collect training data for ML applications.

- Perform end-to-end validation of algorithms in both cabled and Over-The-Air (OTA) environments.

- Pre-process raw data, annotate, and manage datasets for ML training pipelines.

Algorithm Development :

- Design, develop, and implement machine learning algorithms using Python and MATLAB from concept to deployment.

- Perform simulation and model tuning to optimize algorithm accuracy, efficiency, and robustness.

- Deploy ML concepts alongside wireless communication theory to build next-gen wireless technologies.

Performance Optimization :

- Conduct experiments to evaluate algorithm performance under varying network and hardware conditions.

- Apply advanced optimization techniques for improving latency, throughput, accuracy, power, and area efficiency.

Collaboration & Integration :

- Collaborate with design engineers to translate algorithms into hardware-friendly implementations.

- Assist hardware teams in RTL/FPGA verification, ensuring consistency between software and hardware performance.

- Document research outcomes, test procedures, and simulation results.

Required Skills & Qualifications :

Technical Expertise :

- Strong programming skills in Python and MATLAB.

- Solid understanding of machine learning techniques (supervised/unsupervised, classification, regression,

neural networks, etc.).

- Good knowledge of wireless communication concepts (modulation, MIMO, channel estimation, coding, etc.).

- Hands-on experience with simulation environments and performance benchmarking.

- Familiarity with data handling, preprocessing, and visualization libraries (NumPy, Pandas, Matplotlib, etc.).

Additional Skills :

- Exposure to TensorFlow, PyTorch, or Scikit-learn frameworks.

- Understanding of signal processing concepts and their intersection with ML.

- Experience in hardware-aware ML development is a strong plus.

Educational Qualification :

- Bachelors/Masters degree in Computer Science, Electronics, Electrical Engineering, or related fields.

- Research background in Wireless + ML applications will be an advantage.

Why Join Us?

- Opportunity to work on cutting-edge projects combining ML with wireless communication.

- Collaborative, innovative work culture.

- Competitive compensation and career growth opportunities.

- Exposure to real-world deployment of ML models in hardware systems.