Digital Signal Processing Jobs in Delhi, NCR and Gurgaon

Title ML Physicist/ ML Researcher Your responsibilities:   Understanding business objectives and developing models that help to achieve them, along with metrics to track their progressManaging available resources such as hardware, data, and personnel so that deadlines are metAnalysing the ML algorithms that could be used to solve a given problem and ranking them by their success probabilityExploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real worldVerifying data quality, and/or ensuring it via data cleaningSupervising the data acquisition process if more data is neededDefining validation strategiesDefining the pre-processing or feature engineering to be done on a given datasetDefining data augmentation pipelinesTraining models and tuning their hyper parametersAnalysing the errors of the model and designing strategies to overcome themDeploying models to production     Required Skills: 1st PriorityProficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Proficiency in Algorithm building and coding from journal papers Expertise in visualizing and manipulating big datasetsFamiliarity with Linux 2nd Priority Ability to select hardware to run an ML model with the required latency. Proficiency with a deep learning framework such as Tensor Flow or Keras Proficiency with Open CV Automation experience with at least one configuration/deployment management system such as Google Deployment Manager, Terra form, Chef, Puppet, Ansible, AWS Cloud Formation, Salt, or other such tools   Education: Bachelors from Computer Science, Electrical Engineer, Mathematics or Physics graduate with signal processing coursework or any related technical field, or equivalent practical experience. Compensation: Salary (Fixed) + Bonus   You should join us if: The ideal candidate will be passionate about coding various algorithms and stay up-to-date with the latest developments in the field of signal processing & Data Science.

We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.Type of data in .sgy, .csv, .las format.ResponsibilitiesUnderstanding business objectives and developing models that help to achieve them, along with metrics to track their progressManaging available resources such as hardware, data, and personnel so that deadlines are metAnalyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probabilityExploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real worldVerifying data quality, and/or ensuring it via data cleaningSupervising the data acquisition process if more data is neededDefining validation strategiesDefining the preprocessing or feature engineering to be done on a given datasetDefining data augmentation pipelinesTraining models and tuning their hyperparametersAnalyzing the errors of the model and designing strategies to overcome themDeploying models to productionSkillsProficiency with a deep learning framework such as TensorFlow or KerasProficiency with Python and basic libraries for machine learning such as scikit-learn and pandasExpertise in visualizing and manipulating big datasetsProficiency with OpenCVFamiliarity with LinuxAbility to select hardware to run an ML model with the required latencyBTech Computer Science, a related technical field, or equivalent practical experience.Automation experience with at least one configuration/deployment management system such as Google Deployment Manager, Terraform, Chef, Puppet, Ansible, AWS Cloud Formation, Salt, or other such tools