You will be mainly accountable for: 
<ul>
<li>The role involves designing and architecting a comprehensive ML platform that seamlessly integrates both traditional machine learning and generative AI workloads.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> You will be responsible to develop scalable, secure, and highly performant infrastructure capable of handling diverse ML/AI use cases.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> You will be tasked with developing and maintaining end-to-end MLOps pipelines, as well as designing continuous integration and continuous deployment workflows specifically tailored for machine learning models.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> The position requires expertise in cloud-native ML platform design with a preference for Azure, coupled with advanced knowledge of containerization and orchestration using Kubernetes and Docker.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> You will be responsible for designing flexible architecture that supports traditional machine learning frameworks, generative AI models (including Large Language Models and Diffusion Models), and framework-agnostic model deployment. </li>
</ul>
Qualifications for the role 
<ul>
<li style="margin-left:1.6rem;"> BE o.r equivalent degree required</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> 8+ years of comprehensive experience in machine learning and AI platforms, along with a proven track record of designing and maintaining large-scale ML infrastructures.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> A deep technical understanding is required across multiple domains including machine learning algorithms, generative AI technologies, distributed computing, and cloud infrastructure.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> You should demonstrate expert-level programming skills in languages such as Python, Scala, and Go, complemented by advanced knowledge of ML frameworks including TensorFlow, PyTorch, and Hugging Face.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Demonstrated experience in mentoring and leading junior data scientists</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Deep knowledge in one or more functional areas such as finance, operations, sales, account management etc. </li>
</ul>

Sr. Machine Learning Engineer in Nelamangala Town (UID-7928)

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