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1 PepsiCo Lead Engineer 2 Job

Lead Engineer 2- ML Ops

PEPSI FOODS PRIV LIMITED

based on 2.4k Reviews

3-5 years

Hyderabad / Secunderabad

1 vacancy

Lead Engineer 2- ML Ops

PepsiCo

posted 2mon ago

Flexible timing

Key skills for the job

+ 3 more

Build and maintain the Machine Learning pipelines using Azure DevOps and Azure data factory
Simplify the Machine Learning project development and deployment cycle
Design and implement scalable solutions for data scientists to deploy their ML models and monitor their health on multi-tenant platform.
Identify and develop MLOps features-Azure Devops Pipelines,Azure Data factory,Synapse.
Create tools, processes, or workflows that enable our Data Scientists to operate more efficiently.
Participate in entire Machine Learning Lifecycle, deploying code to various environments, CI/CD integration, performance monitoring and change management.
Build pipelines, feedback loops, ML workflows, and APIs.
Azure certifications/knowledge will be preferred.
Responsible for sustainability of already live pipelines in production environment.

Qualifications

Bachelor s degree in computer science, MIS, Business Management, or related field

Proficiency with Python pyspark programming in Databricks Environment.
Comfortable working with complex SQL
Experience with ML model serving technologies like Kubeflow Serving, MLFlow etc.
Experience with common data science frameworks (i.e. Pandas, Numpy, Scikit-learn, Tensorflow)
Experience in creating Azure Data factory Azure Devops Pipelines.
Experience in supporting QA and production deployments and developing end to end CI/CD Pipelines.
Experience of azure infrastructure and platform in context to AI/ML
Well versed with automations and deployments using cutting-edge azure technologies.

Good written and verbal communication skills along with collaboration and listening skills.

Mandatory Non-Technical Skills

Excellent remote collaboration skills
Experience working in a matrix organization with diverse priorities.
Enthusiast for learning functional knowledge specific to finance business.
Ability to work with virtual teams (remote work locations); within team of technical resources (employees and contractors) based in multiple global locations.
Participate in technical discussions, driving clarity of complex issues/requirements to build robust solutions.
Strong communication skills to meet with delivery teams and business-facing teams, understand sometimes ambiguous, needs, and translate to clear, aligned requirements.

,qualifications:

Bachelor s degree in computer science, MIS, Business Management, or related field

Proficiency with Python pyspark programming in Databricks Environment.
Comfortable working with complex SQL
Experience with ML model serving technologies like Kubeflow Serving, MLFlow etc.
Experience with common data science frameworks (i.e. Pandas, Numpy, Scikit-learn, Tensorflow)
Experience in creating Azure Data factory Azure Devops Pipelines.
Experience in supporting QA and production deployments and developing end to end CI/CD Pipelines.
Experience of azure infrastructure and platform in context to AI/ML
Well versed with automations and deployments using cutting-edge azure technologies.

Good written and verbal communication skills along with collaboration and listening skills.

Mandatory Non-Technical Skills

Excellent remote collaboration skills
Experience working in a matrix organization with diverse priorities.
Enthusiast for learning functional knowledge specific to finance business.
Ability to work with virtual teams (remote work locations); within team of technical resources (employees and contractors) based in multiple global locations.
Participate in technical discussions, driving clarity of complex issues/requirements to build robust solutions.
Strong communication skills to meet with delivery teams and business-facing teams, understand sometimes ambiguous, needs, and translate to clear, aligned requirements.