(TKZ-57) Vice President - Machine Learning

(TKZ-57) Vice President - Machine Learning

22 Dec
Diageo India

22 Dec

Diageo India


Job Description

You will set-up the machine learning capabilities within Diageo and lead a team of machine learning engineers

Youll apply machine learning techniques to a variety of modelling and relevance problems involving the data sciences team and stakeholders.

You will be part of the analytics engineering lifecycle, including designing distributed systems, writing production-level code for data sciences models, conduct code reviews while working alongside our data engineering and infrastructure teams.

Enable continuous integration / continuous deployment of models from data engineering pipeline through to production.

Collaborate with data engineers to develop data and model pipelines.

Implement machine learning algorithms and libraries.

Communicate complex processes to business leaders.

Top 3-5 Accountabilities

Co-ordinate the entire ML lifecycle (research, design, experimentation, development. deployment, monitoring, and maintenance)

You will work on cutting-edge problems with a view of action-orientated output not research

Responsible for rolling out ML Engineering (and DevOps as well) best practices & standards across the organization

Lead change management by creating action plans to move employees past barrier points and on to desired outcomes.

Recruit, manage, mentor, and inspire ML Engineers; managing performance, goals and development

Qualifications and Experience Required

Expertise in data engineering, data science & modeling

At least 12 years exp in Data Analytics domain

Strong distributed computing background with architecting & design experience

Experience in implementing CI / CD pipeline for complex solutions

Strong expertise in multi cloud platform building scalable, realiable & performance solutions (Azure, AWS & GCP)

Expertise in working with Python, Java, R and Scala

Solid expertise in big data technologies Spark framework / Databricks in a cloud environment

Experience with vision processing, deep neural networks, Gaussian processes, and reinforcement learning

A solid understanding of both probability and statistics

A firm understanding of mathematics (including the role of algorithm theory in machine learning and complex algorithms that are needed to help machines learn and communicate)

Experience using programming tools like MATLAB

Experience working with large amounts of data in a high throughput environment

Experience working with distributed systems tools like Etcd, zookeeper, and consul

Experience working with messaging tools like Kafka, RabbitMQ, and ZeroMQ

Extensive knowledge of machine learning evaluation metrics and best practices

Competency with infrastructure as code (for example, Terraform or CloudFormation)

Clear communicator who can easily translate complex information

Collaborative individual who thrives in a team environment, specifically within a matrix organization

Creative problem solver and innovator

Analytical, critical thinker

Leadership responsibilties and key stakeholders

Delivering performance Move effectively between strategy and operational detail and think and plan for the next quarter.

Create Possibilities Understand and execute on established product direction

Influencing across a matrixed organisation Utilising outstanding communication, facilitation and networking skills to build strong and valuable relationships

Creating Possibilities - Manage, mentor, and inspire agile teams; managing performance, goals and development

How will I succeed in this role

Focus on winning with customers and consumers.

Defining the right vision, roadmap and adoption plan for Machine learning.

Becoming a trusted partner of stakeholders

The original job offer can be found in Kit Job:

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