Responsibilities
Understanding business objectives and developing models that help to achieve them along with metrics to track their progress.
Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
Exploring 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 world.
Verifying data quality and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed.
Finding available datasets online that could be used for training.
Defining validation strategies
Defining the preprocessing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyperparameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production
Skills
Proficiency with a deep learning framework such as TensorFlow or Keras or PyTorch.
Proficiency with Python and basic libraries for machine learning such as scikitlearn and pandas.
Expertise in visualizing and manipulating big datasets.
Proficiency with OpenCV
Familiarity with Linux
Ability to select hardware to run an ML model with the required latency
Role:
About Company
Metro Infrasys Pvt. Ltd. with its in New Delhi is an emerging leader in the field of Intelligent Transportation Systems with an impressive track record of collaborations with top concession companies in India.
Metro Infrasys has set its service integration and development centre per the international standards at IMT Manesar Gurgaon (Haryana). The company has made a stateoftheart mock lane demonstrating various tolling traffic management and parking technologies. The facility is also used for simulation testing innovation and training.
Drawing on comprehensive research and collaboration with the world s leading companies Metro Infrasys provides the best customized solution in traffic management. It adopts the best technology in the world with local knowledge and expertise suitable for the Indian subcontinent s environmental and operational conditions.
Click to apply. In case of clarity call Rahul Guha
tensorflow,linux,python,keras,opencv,scikit-learn,pytorch,preprocessing,pandas,ml algorithms,feature engineering,ml model,data quality,data cleaning,deploying models,data acquisition process,data augmentation pipelines,intelligent transportation systems,visualizing and manipulating big