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Machine Learning Engineer / Artificial Intelligence Consultant 378 views

Job Description

Job Description Machine Learning Engineer / Artificial Intelligence Consultant

Position Description
Would you like to be part of a growing company with the scale and strength to give your career a boost in Consulting? CGI provides high value business and IT consulting services to clients across multiple industries and as they grow they’re recruiting for a talented Machine Learning SME consultant to join their innovative UK Advanced Analytics team helping to build Machine Learning infrastructure, data pipelines, and API integrations.

Your future duties and responsibilities
CGI continues to grow at a pace and therefore a Lead Consultant opportunity is available to help build Machine Learning infrastructure, data pipelines and API integrations, an ideal role for an expert in machine learning to help CGI extract value from data.

The Machine Learning SME will typically lead all the processes from data collection, cleaning, and pre-processing, to training models and deploying them to production. One could design and implement efficient pipelines using data exploration and Natural Language Processing (NLP), to deliver custom, scalable deep learning, and NLP solutions through prototyping, POC, and quantitative metrics.

The Machine Learning engineer will study and analyse problems, propose solutions and design experiments, whilst understanding business objectives and developing models that help to achieve them, along with associated metrics.

A key component will be to deploy and productionise models and run/monitor model performance; an ability to analyse Machine Learning algorithms to be used to solve a given problem and ranking them by their success probability is sought.

The Machine Learning consultant will also explore and and visualise data, identify differences in data distribution that could affect performance when deploying the model in the real world, able to verify the data and supervise data acquisition process if more data is needed. Other duties could entail defining validation strategies, augmentation pipelines, tuning hyper-parameters and deploying models into production.

The ideal candidate will be passionate about Artificial Intelligence and this represents an exciting opportunity to help build CGI’s Advanced Analytics Capability as it takes flight out of our growing Emerging Technology practice.

Required Qualifications To Be Successful In This Role

The successful candidate will demonstrate a track record in Machine Learning, with proficiency with a deep learning framework (such as TensorFlow or Keras), as well as skills in Java, Python and basic libraries for machine learning (such as scikit-learn and pandas). They’re looking for expertise in visualising and manipulating big datasets, APIs, CI/CD, Kubernetes, Docker and an ability to select hardware to run a Machine Learning model with the required latency.

The Machine Learning consultant should be current with latest Machine learning algorithms and methods and be able to share knowledge with colleagues in data science and technology and externally as appropriate.

You will need to be ambitious and keen to learn & develop at pace and CGI will provide you the support and training to help achieve this.

Build your career with them.

It is an extraordinary time to be in business. As digital transformation continues to accelerate, CGI is at the center of this change—supporting their clients’ digital journeys and offering their professionals exciting career opportunities.

At CGI, their success comes from the talent and commitment of their professionals. As one team, they share the challenges and rewards that come from growing their company, which reinforces their culture of ownership. All of their professionals benefit from the value they collectively create.

Be part of building one of the largest independent technology and business services firms in the world.

Learn more about CGI at www.cgi.com.

No unsolicited agency referrals please.

CGI is an equal opportunity employer.

Skills

  • Prototyping

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