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MACHINE LEARNING ENGINEER

Descrição da oferta de emprego

Position Description.
Ready to join an outstanding culture that cares about diversity and inclusion, corporate social responsibility, and gives the freedom to innovate, influence decisions, and chart an exciting career? CGI is more than just an IT company.
Be part of a hardworking team that supports the local community with the ability to draw on global best-in-class talent! Benefits include a share purchase program, profit sharing, wellness credits, training/development programs, and flexible work schedules.
Do you want to use your emerging Machine Learning skills to have an impact while working on real-world projects? Our team is looking for a statistical wizard with a passion for extracting the value out of data.
Your future duties and responsibilities.
• Design, develop and implement Machine Learning algorithms • Create end to end ML Pipelines leveraging MLOps and Agile ways of working • Conduct Exploratory data analysis • Apply Statistics in environments with unknown outcomes (must be comfortable with failing quickly) • Stay up to date on the latest and historical Machine Learning research and architectures both in mathematics and code implementation • Develop visual interfaces to present results • Hone your analytic, programming, and business skills Technical qualifications to be successful in this role should include.
• Must be an expert in statistics with at least 2 years proven record of demonstrating the meaning in data in a business environment • Proven experience in developing and implementing machine learning models and algorithms.
• Passionate about Statistic Learning and willing to continuously increase technical proficiency.
• Programming ability (e.
.
Python, R) and a willingness to solve problems with brain as well as hands.
• Experience with machine learning libraries and frameworks (e.
.
TensorFlow, Pytorch, scikit-learn or similar tools) • Experience creating and supporting ML Pipes leveraging Docker, Kubernetes, ML Flow and similar tools • Experience and certification on cloud platforms Amazon AWS, Microsoft Azure, Google Cloud Platform Technical Skill Expected to Be Developed.
JavaScript, C, Rust, Linux Administration, CI/CD, Agile ways of working Education.
Masters or PhD in a Mathematics, Informatics, Statistics or a field with extensive experience in applying the scientific method Skills.
C Data Analysis JavaScript Linux Python What you can expect from us.
Together, as owners, let’s turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging.
Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life.
That’s why we call ourselves CGI Partners rather than employees.
We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value.
You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You’ll shape your career by joining a company built to grow and last.
You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
At CGI, we recognize the richness that diversity brings.
We strive to create a work culture where all belong and collaborate with clients in building more inclusive communities.
As an equal-opportunity employer, we want to empower all our members to succeed and grow.
If you require an accommodation at any point during the recruitment process, please let us know.
We will be happy to assist.
Come join our team—one of the largest IT and business consulting services firms in the world.
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Detalhes da oferta

Empresa
  • CGI
Localidade
  • Em todo Portugal
Endereço
  • Indeterminado - Indeterminado
Tipo de Contrato
  • Indeterminado
Data de publicação
  • 21/08/2024
Data de expiração
  • 18/11/2024
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