<ul>
<li>We are looking for a Senior Consultant – Machine Learning Engineering to join our vibrant Information Technology group at Principal. </li>
</ul>

<ul>
<li>This is a fantastic opportunity to work in a role that blends innovative technology with top industry practices. </li>
</ul>

<ul>
<li>As a key member of our team, you will significantly influence the success of our machine learning initiatives.</li>
</ul>
 
<ul>
<li>You will help ensure smooth, high‑quality deployment and enable us to stay competitive in the market.</li>
</ul>

<ul>
<li>Join us in Hyderabad, Telangana, India, and be part of a team committed to using machine learning to deliver exceptional outcomes!</li>
</ul>

Responsibilities

<ul>
<li>Data Acquisition</li>
</ul>

<ul>
<li>Collaborate with the Data Engineering team to build infrastructure supporting data collection and ETL operations.</li>
</ul>

<ul>
<li>Automate ETL pipelines and maintain Data Engineering codebases.</li>
</ul>

<ul>
<li>Develop tools for analytics and data science teams to strengthen products and uphold our reputation as an innovative industry leader.</li>
</ul>

<ul>
<li>Model Orchestration &amp; Deployment</li>
</ul>

<ul>
<li>Build systems that manage, organize, and support ML code.</li>
</ul>

<ul>
<li>Work with the Data Science team to embed AI/ML components through orchestration services.</li>
</ul>

<ul>
<li>Create CI/CD pipelines connecting data services and ML services to enable ML Ops/LLM Ops.</li>
</ul>

<ul>
<li>Implement ML toolchains and scalable data platforms to advance ML solutions into production.</li>
</ul>

<ul>
<li>Governance &amp; Operational Support</li>
</ul>

<ul>
<li>Improve delivery agility by automating model development, validation, deployment, and monitoring.</li>
</ul>

<ul>
<li>Track performance and quality indicators of production ML models.</li>
</ul>

<ul>
<li>Provide guidance for managing production models and support the resolution of production‑related issues.</li>
</ul>

Qualifications

<ul>
<li>We are looking for candidates who meet the following criteria:</li>
</ul>

<ul>
<li>Bachelor’s Degree in Computer Science/Engineering, Informatics, or a related technical field</li>
</ul>

<ul>
<li>6–8 years of experience orchestrating machine learning services using tools like Kubernetes or Kubeflow</li>
</ul>

<ul>
<li>Hands-on experience automating data ingestion, building data pipelines, and deploying machine learning models</li>
</ul>

<ul>
<li>Proficiency with ML frameworks (Keras, PyTorch, PySpark) and libraries (scikit‑learn)</li>
</ul>

<ul>
<li>Experience with big data and cloud technologies (Azure/AWS – Redshift, RDS, S3, Glue, Athena, EMR, Spark, Hive)</li>
</ul>

<ul>
<li>Strong scripting skills (Python, R, shell scripting) with familiarity in Java, C++, or Scala</li>
</ul>

<ul>
<li>Cloud computing proficiency (AWS and Azure preferred)</li>
</ul>

<ul>
<li>Working knowledge of GenAI is a must for this role</li>
</ul>

Machine Learning Engineering in Pune (UID-15896)

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Job Description for Machine Learning Engineering

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