Procter & Gamble

Senior Manager - Senior AI Engineer

Artwork Copy Specialist

Recruiter - IT

Senior AI Engineer required with 4+ years of experience in Python, Pyspark, data modeling, development, and deployment of Data & Analytics products. Expertise in operationalizing, integrating, and scaling algorithmic products is essential. Must have experience in MLOps, DevOps, and building ML pipelines.

<div class="jobs-box__html-content jobs-description-content__text t-14 t-normal
 jobs-description-content__text--stretch" id="job-details" tabindex="-1">
 <h2 class="text-heading-large">
 About the job
 </h2>

 <div class="mt4">
 
 Job Location Mumbai Job Description Job Description <ul><li>Partners with data scientists, data managers, analysts, infrastructure engineers and peer AI Engineers to develop, operationalize, integrate, and scale new algorithmic products.</li><li>Engages in proof of concepts and experiments to evaluate new models and technology.</li><li>Develops high quality, standard-compliant and tested code. Refactors code of others as necessary.</li><li>Contributes code and tools to central re-usable libraries and repositories.</li><li>Develops data models, model features, data quality tests, ETL/ELT pipelines, and distributed compute architectures.</li><li>Deploys algorithmic products across the clouds, skilfully leveraging cloud-native services. Manages and automates cloud resources (IaC).</li><li>Implements DevOps, DataOps and MLOps principles in day-to-day work. Develops continuous integration, delivery, and training pipelines.</li><li>Leverages observability and automation tools to manage operations of algorithmic products across the stack. </li></ul>
<a class="app-aware-link " target="_blank" href="http://youtu.be/qIguMrXKE90" data-test-app-aware-link="">Click here to hear from the Functional Leader! </a>Qualifications Job Qualifications <ul><li>A Bachelors or Master’s degree in Computer Science, Software Engineering or related field</li><li>4+ years of proven experience in Python &amp; Pyspark, data modelling, design, development, and deployment of Data and Analytics products</li><li>Demonstrated engineering experience in operationalizing, integrating, and scaling up algorithmic products</li><li>Experience in writing python production-level code and code patterns</li><li>Experience in MLOps, DevOps, or software engineering, with a specialisation in machine learning</li><li>Demonstrated experience in building and managing machine learning pipelines</li><li>Strong background in containerization and orchestration technologies (Docker, Kubernetes)</li><li>Experience in Agile, CI/CD and DEVOPS methodologies – knowledge of using appropriate tools – e.g. Jira, GitHub Actions, unit testing &amp; mocking, static code analysis (e.g. Sonarqube), source control management tools (e.g. GitHub)</li><li>GCP/Azure cloud computing knowledge and services related to machine learning and large-scale computing</li><li>Understand best practices for data security, privacy and compliance in the context of AI</li><li>Strong written and verbal communication in English </li></ul>
Preferred skills: <ul><li>Experience with AI / ML products and deployment of products to production (such as Azure Machine Learning and Databricks)</li><li>Experience in monitoring and logging ML models</li><li>Knowledge and experience in machine learning algorithms development</li><li>Experience with source control management tools (GitHub)</li><li>Desire to write testable code, and the test coverage to go along with it</li><li>CI/CD tools knowledge and experience, familiar working in a DevOps environment</li><li>Strong problem-solving skills paired with experience in programming, such as Python</li><li>Ability to communicate technical concepts to teammates and non-technical colleagues </li></ul>
Nice to have: <ul><li>K8 and connected technologies (Helm, Kustomize.io, etc.) knowledge</li><li>Infrastructure build tools and languages knowledge – Terraform, Ansible </li></ul>
Logging and monitoring technologies knowledge (depending on the needs, from Logstash to Grafana, Kibana, fluentd) Job Schedule Full time Job Number R000114606 Job Segmentation Experienced Professionals (Job Segmentation)
 
 </div>
 </div>