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Machine Learning Manager

Company: Templeton and Partners
Location: Houston
Posted on: June 14, 2018

Job Description:


Templeton & Partners is looking for a MACHINE LEARNING MANAGER to join one of our INTERNATIONAL clients in HOUSTON.


We're looking for MACHINE LEARNING MANAGER to be responsible for managing the central pool of machine learning experts within Digitalisation and be accountable for setting the strategy for the machine learning discipline within the Data Science CoE.

Some of your key activities will include:

Develop Machine Learning as a discipline within Digitalisation.

Coordinate the development of standards and best practices around machine learning within the business, taking into account the emergence of new technologies.

Assure the quality of the delivery of machine learning within projects.

Assure machine learning input into digitalisation projects is taking place .

Work closely with IT teams to ensure continued development of the over-arching data platform and architecture.


Our client is looking for you to have the following experience and skills:

Bachelor or master degree in statistics, mathematics, theoretical science, operational research, engineering or computer science

MBA/PHD in relevant domain is strongly preferred

Significant experience in delivering or managing data science and/or machine learning delivery in a corporate environment

thoroughbred academic background in the area of Machine Learning with publications & a public profile

IT project or programme management experience (on business or IT side)

Proven experience of Advanced Analytics solution deployment is essential.

Naturally adept and significant experience of framing business problems in the context of advanced analytics

Must have strong technical skills and direct, hands-on experience of developing digital products involving algorithms

Awareness of new technologies (such as Hadoop, Spark, MongoDB etc.) as well as key frameworks (MXnet, Caffe, Tensorflow, Theano, CNTK etc.) strongly preferred

Skilled in analytics

Skilled in data design integrity

Skilled in value exploitation

Demonstrated capability in dealing with senior leadership in global organizations is essential.

Awareness of life cycle and data management is desirable Awareness of information and data strategy and governance is desirable

Commercial skills are an advantage.

Have strong interpersonal, communication, facilitation and presentation skills. Is highly experienced in communicating with business at all levels.

Position requires business knowledge of:

Hands-on code development (R, Python, MatLab, Alteryx, SAS, SQL or other development languages)

Use of advanced analytics technology in the context of application deployment

Expertise in data source extraction (ETL) is also strongly preferable (HANA, SQL, Oracle, SharePoint, Hadoop, Spark (Databricks), Alteryx, Talend, Informatica)


The key responsibilities of the MACHINE LEARNING MANAGER include:

Oversees the supply & demand balance for the central machine learning pool (including managing relationships with 3rd party suppliers)

Responsible for development of overall strategy for machine learning within the business

Accountable for the overall machine learning delivery as part of application development

Coordinates the work of the central machine learning pool, accountable for coordinating the broader data science skill pool

Sets machine learning standards and approves methods for deployment (including tools and techniques)

Provides assurance and oversight around machine learning delivery, manages the peer review process.

Owns the training programme for new data engineers/graduates

Coordinates the machine learning stream of the analytics network to ensure connectivity to other parts of the company

Coordinates the requirement definition for platform development

Stakeholder Relationship Management - Acting as a key facilitator within a global organization and externally, working across business and IT stakeholders.

Works in a Lean development environment which requires the individual to be self-driven, take decisions independently and be flexible in order to cater to demand.

Takes end-to-end accountability for strategically differentiated products being developed by Machine Learning team (for example Machine Vision).

We very much look forward to receiving your application, and will be in touch promptly to discuss in more detail

Keywords: Templeton and Partners, Houston, Machine Learning Manager, Executive, Houston, Texas

Click here to apply!

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