Senior Consultant - Machine Learning Engineering

Principal Global Services

10 - 15 years

14 - 18 Lacs

pune

Posted:1 hour ago| Platform:

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Skills Required

python c++ data analysis data analytics natural language processing neural networks machine learning data engineering data collection artificial intelligence sql deep learning java data science spark computer vision etl aws big data ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

Responsibilities Description % of Time Spent Data Acquisition: Work with Data Engineering team to understand and help to develop build-as-per-need infrastructure for Data collection and ETL processes, automate steps in ETL develop system to manage, deploy and maintain Data Engineering code
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
Work with data and analytics experts to strive for greater functionality in our data systems (including feature engineering)
Model orchestration deployment: Assist in the development of systems to manage, deploy and maintain ML code
Work closely with the Data Sciences team to: Develop infrastructure in order for Machine Learning models to be deployed, Take over newly developed models into production, Develop systems for integrating AI/ML components using orchestration services
Build CI-CD pipelines interconnecting Data services and ML services for the project with an aim to achieve MLOps
Assist in development and implementation of ML toolchains and data platforms to scale ML solutions in production
Governance and operational support: Enable the agility in data science delivery through automation across build, validation, deployment and monitoring of Data Science models
Monitor quality parameters for ML models in production
Shape and operate best practices for managing models in production
Contribute to solutions that accelerate the task of Production issue analysis by Data Scientists by enabling log viewing tracing and debugging of data science features in production
Qualifications Describes the minimum education and experience, certifications, licenses, physical demands, working conditions and skill sets needed to perform the job
Provide prompt, courteous and excellent service at an acceptable cost to all customers; operate in an ethical manner in accordance with all applicable laws and regulations, the companys Corporate Code of Ethics, employee handbook, applicable compliance and operations policies and procedures, and other policies of the company
Possess a high degree of integrity and actively cooperate and interact with all entities of the Principal Financial Group
Bachelor s Degree in Computer Science/Engineering, Informatics, or a related technical discipline\

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