Machine Learning Engineer in भारत

The role : You will join our ML team to turn research into working models for radio access networks. The focus is on predictive and learning-based methods for scheduling, beamforming, and interference management. You will build simulators, train and benchmark models, and help move the best ideas into production-grade pipelines. This is a strong fit if you want your research to ship and be measured against real system-level https://jobeax.com/link/PGcNjowXINoAIa4y you'll do : - Build and maintain Python system-level simulators for multi-cell massive-MIMO networks, including traffic, interference, and realistic channel dynamics.- Develop deep learning models (graph neural networks, GRU/LSTM, Transformers) for time-series and spatio-temporal prediction in wireless systems.- Integrate ML predictions into optimization pipelines such as coordinated beamforming, and quantify gains in sum rate, fairness, and cell-edge performance.- Design reproducible experiments, ablation studies, and benchmarking workflows in PyTorch against classical and learned baselines.- Explore reinforcement learning and Bayesian approaches for adaptive network decision-making.- Partner with wireless researchers and software engineers to turn prototypes into reliable data and training pipelines.- Write up results for internal reviews and, where appropriate, external https://jobeax.com/link/ebmfD2XehsDyspwz we're looking for : - MSc (or equivalent) in Data Science, Machine Learning, Electrical Engineering, Statistics, or a related field.- Strong Python and PyTorch skills, plus a solid grounding in deep learning, time-series modelling, and statistics.- Hands-on experience with sequence models (RNN, LSTM, GRU, Transformers) and ideally graph neural networks.- Experience with reproducible ML workflows, including Git, Linux, and experiment tracking.- Working knowledge of SQL and data pipelines (ETL, validation, modelling).- Curiosity and rigor : you test assumptions, report negative results honestly, and communicate clearly in https://jobeax.com/link/nlu4OcQlmPFSMp4l to have : - Exposure to wireless communications (5G/6G, MIMO, beamforming, scheduling).- Experience with reinforcement learning (DQN, PPO, A2C) or Bayesian inference.- Cloud data platform experience, such as Microsoft Fabric or Azure (DP-700 is a plus).- A peer-reviewed publication or a strong research-style thesis.- Familiarity with C++ or MATLAB for performance-critical or legacy https://jobeax.com/link/zEiVziHyP2aqFf5Q & benefits : - Salary : [SEK range, confirm with HM], reviewed annually.- 30 days paid vacation (Swedish standard of 25 plus company days), occupational pension, and parental leave top-up.- Wellness allowance and a learning budget for conferences and courses.- Relocation support and help with work permit or EU Blue Card applications where needed.- Collective agreement coverage [confirm]. (ref:hirist.tech)