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Urgent! Leadsoc Technologies - AI/ML Software Developer Job Opening In Pune – Now Hiring Leadsoc Technologies Pvt Ltd

Leadsoc Technologies AI/ML Software Developer



Job description

<p><p><b>Job Title : </b> AI/ML Software Developer<br/><br/><b>Company : </b> Leadsoc Technologies<br/><br/><b>Experience : </b> 3-5 Years<br/><br/><b>Notice Period : </b> Immediate to 15 Days<br/><br/><b>About Leadsoc Technologies :</b><br/><br/>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.<br/><br/><b>Role Overview :</b><br/><br/>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.<br/><br/><b>Key Responsibilities :</b><br/><br/><b>Data Preparation & Validation : </b><br/><br/></p><p>- Construct real-world setups to collect training data for ML applications.<br/><br/></p><p>- Perform end-to-end validation of algorithms in both cabled and Over-The-Air (OTA) environments.<br/><br/></p><p>- Pre-process raw data, annotate, and manage datasets for ML training pipelines.<br/><br/><b>Algorithm Development : </b><br/><br/></p><p>- Design, develop, and implement machine learning algorithms using Python and MATLAB from concept to deployment.<br/><br/></p><p>- Perform simulation and model tuning to optimize algorithm accuracy, efficiency, and robustness.<br/><br/></p><p>- Deploy ML concepts alongside wireless communication theory to build next-gen wireless technologies.<br/><br/><b>Performance Optimization : </b><br/><br/></p><p>- Conduct experiments to evaluate algorithm performance under varying network and hardware conditions.<br/><br/></p><p>- Apply advanced optimization techniques for improving latency, throughput, accuracy, power, and area efficiency.<br/><br/><b>Collaboration & Integration : </b><br/><br/></p><p>- Collaborate with design engineers to translate algorithms into hardware-friendly implementations.<br/><br/></p><p>- Assist hardware teams in RTL/FPGA verification, ensuring consistency between software and hardware performance.<br/><br/></p><p>- Document research outcomes, test procedures, and simulation results.<br/><br/><b>Required Skills & Qualifications :</b><br/><br/><b>Technical Expertise :</b><br/><br/></p><p>- Strong programming skills in Python and MATLAB.<br/><br/></p><p>- Solid understanding of machine learning techniques (supervised/unsupervised, classification, regression, </p><p>neural networks, etc.).<br/><br/></p><p>- Good knowledge of wireless communication concepts (modulation, MIMO, channel estimation, coding, etc.).<br/><br/></p><p>- Hands-on experience with simulation environments and performance benchmarking.<br/><br/></p><p>- Familiarity with data handling, preprocessing, and visualization libraries (NumPy, Pandas, Matplotlib, etc.).<br/><br/><b>Additional Skills :</b><br/><br/></p><p>- Exposure to TensorFlow, PyTorch, or Scikit-learn frameworks.<br/><br/></p><p>- Understanding of signal processing concepts and their intersection with ML.<br/><br/></p><p>- Experience in hardware-aware ML development is a strong Qualification :</b></p><p><br/></p><p>- Bachelors/Masters degree in Computer Science, Electronics, Electrical Engineering, or related fields.<br/><br/></p><p>- Research background in Wireless + ML applications will be an advantage.<br/><br/><b>Why Join Us?</b><br/><br/></p><p>- Opportunity to work on cutting-edge projects combining ML with wireless communication.<br/><br/></p><p>- Collaborative, innovative work culture.<br/><br/></p><p>- Competitive compensation and career growth opportunities.<br/><br/></p><p>- Exposure to real-world deployment of ML models in hardware systems.</p><br/></p> (ref:hirist.tech)


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