Responsibilities:

<ul>
<li>Work very closely with ML scientists and help them with model deployment in the production systems</li>
</ul>

<ul>
<li>Work very closely with ML scientists to find and solve engineering pain-points by building scalable, general-use platforms</li>
</ul>

<ul>
<li>Build scalable and reliable infrastructure and pipelines for data/feature processing and storage and also scalable training and evaluation infrastructure and pipelines to accelerate model development</li>
</ul>

<ul>
<li>Automate ML workflows to enhance productivity across training, evaluation, testing, and results generation</li>
</ul>

<ul>
<li>Partner with cross functional stakeholders to define a long-term vision for scaling ML/AI applications in production and help teams with their roadmap plannings</li>
</ul>

Basic Qualifications:

<ul>
<li>BS in Computer Science, or related area with 3 Years minimum Machine Learning Scientist or Engineer industry experience</li>
</ul>

<ul>
<li>Highly skilled with Java development, Python and SQL/MySQL.</li>
</ul>

<ul>
<li>Highly skilled with proficiency in ML ops with experience in building large-scale ML applications, services, pipelines and architecture</li>
</ul>

<ul>
<li>Solid understanding and experience in system design of ML systems (design pattern,  OOD, architecture, modules, interfaces, etc)</li>
</ul>

<ul>
<li>Highly skilled with distributed processing architecture and ML/data workflow management platform (Spark, Databricks, Airflow, Kubeflow, MLflow etc)</li>
</ul>

<ul>
<li>Experience with containerization such as Docker and Kubernates</li>
</ul>

Preferred Qualifications:

<ul>
<li>MS in Computer Science, or related area with 1 Years minimum Machine Learning Engineer industry experience or Ph.D in in Computer Science, or related area</li>
</ul>

<ul>
<li>Understanding in machine learning theory and practice, and experience using machine learning tools (Scikit-Learn, TensorFlow, PyTorch etc.)</li>
</ul>

<ul>
<li>Understanding and experience working with cloud-based solutions, especially AWS, Databricks </li>
</ul>

<ul>
<li>Experience with CI/CD pipelines, integrated tests and test-driven development</li>
</ul>

<ul>
<li>Experience with microservice architectures such as RESTful web-services </li>
</ul>

Machine Learning Engineer in Gurugram (UID-13843)

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Job Description for Machine Learning Engineer

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