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

Responsibilities: Work very closely with ML scientists and help them with model deployment in the production systems Work very closely with ML scientists to find and solve engineering pain-points by building scalable, general-use platforms 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 Automate ML workflows to enhance productivity across training, evaluation, testing, and results generation 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 Basic Qualifications: BS in Computer Science, or related area with 3 Years minimum Machine Learning Scientist or Engineer industry experience Highly skilled with Java development, Python and SQL/MySQL. Highly skilled with proficiency in ML ops with experience in building large-scale ML applications, services, pipelines and architecture Solid understanding and experience in system design of ML systems (design pattern, OOD, architecture, modules, interfaces, etc) Highly skilled with distributed processing architecture and ML/data workflow management platform (Spark, Databricks, Airflow, Kubeflow, MLflow etc) Experience with containerization such as Docker and Kubernates Preferred Qualifications: 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 Understanding in machine learning theory and practice, and experience using machine learning tools (Scikit-Learn, TensorFlow, PyTorch etc.) Understanding and experience working with cloud-based solutions, especially AWS, Databricks Experience with CI/CD pipelines, integrated tests and test-driven development Experience with microservice architectures such as RESTful web-services

Machine Learning Engineer in Gurugram (UID-13843)

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Skills Required for Machine Learning Engineer

Job Description for Machine Learning Engineer

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