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Senior Manager - Senior AI Engineer

4.00 to 7.00 Years   Mumbai (Maharashtra)   29 Apr, 2025
Procter & Gamble
Job LocationMumbai (Maharashtra)
EducationML/ LLM (Law)Any Graduate
SalaryAs per Industry Standards
IndustryConsumer Durables/FMCG, Manufacturing/Industrial
Functional AreaIT Software : Software Products & Services
EmploymentTypeFull-time

Job Description

Job LocationMumbai

  • Partners with data scientists, data managers, analysts, infrastructure engineers and peer AI Engineers to develop, operationalize, integrate, and scale new algorithmic products.
  • Engages in proof of concepts and experiments to evaluate new models and technology.
  • Develops high quality, standard-compliant and tested code. Refactors code of others as necessary.
  • Contributes code and tools to central re-usable libraries and repositories.
  • Develops data models, model features, data quality tests, ETL/ELT pipelines, and distributed compute architectures.
  • Deploys algorithmic products across the clouds, skilfully leveraging cloud-native services. Manages and automates cloud resources (IaC).
  • Implements DevOps, DataOps and MLOps principles in day-to-day work. Develops continuous integration, delivery, and training pipelines.
  • Leverages observability and automation tools to manage operations of algorithmic products across the stack.
Click here to hear from the Functional Leader!Job QualificationsQualifications
  • A Bachelors or Masters degree in Computer Science, Software Engineering or related field
  • 4 years of proven experience in Python & Pyspark, data modelling, design, development, and deployment of Data and Analytics products
  • Demonstrated engineering experience in operationalizing, integrating, and scaling up algorithmic products
  • Experience in writing python production-level code and code patterns
  • Experience in MLOps, DevOps, or software engineering, with a specialisation in machine learning
  • Demonstrated experience in building and managing machine learning pipelines
  • Strong background in containerization and orchestration technologies (Docker, Kubernetes)
  • Experience in Agile, CI/CD and DEVOPS methodologies knowledge of using appropriate tools e.g. Jira, GitHub Actions, unit testing & mocking, static code analysis (e.g. Sonarqube), source control management tools (e.g. GitHub)
  • GCP/Azure cloud computing knowledge and services related to machine learning and large-scale computing
  • Understand best practices for data security, privacy and compliance in the context of AI
  • Strong written and verbal communication in English
Preferred skills:
  • Experience with AI / ML products and deployment of products to production (such as Azure Machine Learning and Databricks)
  • Experience in monitoring and logging ML models
  • Knowledge and experience in machine learning algorithms development
  • Experience with source control management tools (GitHub)
  • Desire to write testable code, and the test coverage to go along with it
  • CI/CD tools knowledge and experience, familiar working in a DevOps environment
  • Strong problem-solving skills paired with experience in programming, such as Python
  • Ability to communicate technical concepts to teammates and non-technical colleagues
Nice to have:
  • K8 and connected technologies (Helm, Kustomize.io, etc.) knowledge
  • Infrastructure build tools and languages knowledge Terraform, Ansible
  • Logging and monitoring technologies knowledge (depending on the needs, from Logstash to Grafana, Kibana, fluentd)
Job ScheduleFull timeJob NumberR000114606Job SegmentationExperienced Professionals (Job Segmentation)Locations - MUMBAI GENERAL OFFICE

Keyskills :
python & pyspark data modelling mlops principles containerization technologies agile development algorithms orchestration docker devops software engineering cloud computing github machine learning infrastructure

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