Machine Learning Engineer

at  Capgemini

Montréal, QC, Canada -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate15 Feb, 2025Not Specified16 Nov, 20244 year(s) or aboveAcademic Research,Design,Information Retrieval,Causal Inference,Technology,Cloud,Strategy,Commercial Projects,It,Machine LearningNoNo
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Description:

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

JOB DESCRIPTION

We are looking for a machine learning and natural language processing specialist to explore design and develop new Machine Learning solutions for a Firm-wide user base leveraging many tools. The ideal candidate should hold an advanced degree in a quantitative discipline and has experience researching building and maintaining data science models at scale in an enterprise environment. The position requires good communication skills ability to work together in cross-functional technical teams in different areas of the organization.

REQUIRED SKILLS

  • At least 4 years of experience with design and implementation of machine learning predictive analysis data science knowledge bases recommendation systems information retrieval.
  • Strong understanding of the foundational concepts and applied experience in Machine Learning and model explain ability (ideally a combination of excellent academic research and high-impact commercial projects).
  • In depth understanding of common Machine Learning algorithms (e.g. for classification regression and clustering).
  • Experience with LLM models and Open AI. In depth knowledge of advanced statistical theories methodologies and inference tools.
  • Proven track record in some of the advanced topics such as Bayesian inference hierarchical models deep learning Gaussian processes and causal inference.
  • Practical experience in preparing data for Machine Learning integrating with big-data platforms and high-performance computing ecosystems.
  • Strong analytical and problem-solving skills.

SKILLS (COMPETENCIES)

Verbal Communication
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion

Responsibilities:

  • Independently work on end-to-end development of Machine Learning and Natural Language Processing models to derive insights from research publications legal documents regulatory requirements etc.
  • Design and implement business solution in agile squads. Engage in Machine Learning project which includes problem definition Data Engineering Machine Learning design and documentation for the model risk management and running all the needed ML tests to ensure reliability.
  • Develop maintain and track detailed delivery plans. Strong Data analysis processing discovery skills.


REQUIREMENT SUMMARY

Min:4.0Max:9.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

LLM

Proficient

1

Montréal, QC, Canada