Machine Learning Developer – Python (1-5 yrs) 10 views

Autokartz Internet Pvt. Ltd.

Job Description :

Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress

– Managing available resources such as hardware, data, and personnel so that deadlines are met

– Analyzing 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 pre-processing or feature engineering to be done on a given dataset

– Defining data augmentation pipelines

– Training models and tuning their hyper parameters

– Analysing the errors of the model and designing strategies to overcome them Deploying models to production.


– Proficiency in writing the ML models by own, based on requirements.

– Proficiency with NodeJS, Python and basic libraries for machine learning such as scikit-learn and pandas

– Expertise in visualizing and manipulating big datasets

– Familiarity with Linux – Ability to select hardware to run an ML model with the required latency

– Better to have knowledge on apache spark and scala

– Proficiency with Tensor workflows

– Experience on Amazon SageMaker, Lex/Poly and Microsoft Luis will be an added advantage

Only registered candidates can apply

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Autokartz is a crew of inspired professionals envisaging the dream of transforming the way we Indians do spare parts circulation. We are well known for our focus on customer service and which is why we have become one of the most trusted names in the industry. We maintain very healthy tie-ups with India’s top manufacturers as well as best performing international auto product manufacturers.
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