<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

India

We are looking for a Senior Consultant – Machine Learning Engineering to join our vibrant Information Technology group at Principal. This is a fantastic opportunity to work in a role that blends innovative technology with top industry practices. As a key member of our team, you will significantly influence the success of our machine learning initiatives. You will help ensure smooth, high‑quality deployment and enable us to stay competitive in the market. Join us in Hyderabad, Telangana, India, and be part of a team committed to using machine learning to deliver exceptional outcomes! Responsibilities Data Acquisition Collaborate with the Data Engineering team to build infrastructure supporting data collection and ETL operations. Automate ETL pipelines and maintain Data Engineering codebases. Develop tools for analytics and data science teams to strengthen products and uphold our reputation as an innovative industry leader. Model Orchestration &amp; Deployment Build systems that manage, organize, and support ML code. Work with the Data Science team to embed AI/ML components through orchestration services. Create CI/CD pipelines connecting data services and ML services to enable ML Ops/LLM Ops. Implement ML toolchains and scalable data platforms to advance ML solutions into production. Governance &amp; Operational Support Improve delivery agility by automating model development, validation, deployment, and monitoring. Track performance and quality indicators of production ML models. Provide guidance for managing production models and support the resolution of production‑related issues. Qualifications We are looking for candidates who meet the following criteria: Bachelor’s Degree in Computer Science/Engineering, Informatics, or a related technical field 6–8 years of experience orchestrating machine learning services using tools like Kubernetes or Kubeflow Hands-on experience automating data ingestion, building data pipelines, and deploying machine learning models Proficiency with ML frameworks (Keras, PyTorch, PySpark) and libraries (scikit‑learn) Experience with big data and cloud technologies (Azure/AWS – Redshift, RDS, S3, Glue, Athena, EMR, Spark, Hive) Strong scripting skills (Python, R, shell scripting) with familiarity in Java, C++, or Scala Cloud computing proficiency (AWS and Azure preferred) Working knowledge of GenAI is a must for this role

Machine Learning Engineering · Pune

Job highlights

Skillset required

Job Description

Job Description for Machine Learning Engineering

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