Required qualifications 

<ul>
<li style="margin-left:1.6rem;">2+ years of experience doing ML in a production environment and productionising ML models at scale </li>
</ul>

<ul>
<li style="margin-left:1.6rem;">Bachelors (required) or Masters in a quantitative field such as Computer science, operations research, statistics, mathematics, physics </li>
</ul>

<ul>
<li style="margin-left:1.6rem;">Familiarity with basic machine learning techniques : regression, classification, clustering, model metrics and performance (AUC, ROC, precision, recall and their various flavors)</li>
</ul>

<ul>
<li style="margin-left:1.6rem;">Basic knowledge of advanced machine learning techniques : regression, clustering, recommender systems, ranking systems and neural networks </li>
</ul>

<ul>
<li style="margin-left:1.6rem;">Expertise in coding in python and good knowledge of at least one language from C, C++, Java and at least one scripting language (perl, shell commands) </li>
</ul>

<ul>
<li style="margin-left:1.6rem;">Experience with big data tools like Spark and experience working with Databricks / DataRobots </li>
</ul>

<ul>
<li style="margin-left:1.6rem;">Experience with AWS’ suite of tools for production-quality ML work, or alternatively familiarity with Microsoft Azure / GCP </li>
</ul>

<ul>
<li style="margin-left:1.6rem;">Experience deploying complex ML algorithms to production in collaboration with engineers using Flask, MLFlow, Seldon, etc. </li>
</ul>

Good to have: 

<ul>
<li style="margin-left:1.6rem;">Excellent communication skills and ability to keep stakeholders informed of progress / blockers </li>
</ul>

Machine Learning Engineer in Bengaluru (UID-6975)

Job Description

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Skills Required for Machine Learning Engineer

Job Description for Machine Learning Engineer

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