Machine Learning Engineer

Location:

Paris

Geography:

Europe & The Middle East

Capabilities:

Big data & advanced analytics, Technology & digital

Industries:

Automotive & Mobility, Biopharmaceuticals, Consumer products, Energy & environment, Engineered products & infrastructure, Financial institutions, Health care payers & providers, Insurance, Media & entertainment, Medical devices & technology, Metals & mining, Private equity and principal investment, Process industries & building materials, Public sector, Retail, Technology industries, Telecommunications

About Us

The Boston Consulting Group (BCG) is a global management consulting firm and the world’s leading advisor on business strategy. We partner with clients from the private, public, and not-for-profit sectors in all regions to identify their highest-value opportunities, address their most critical challenges, and transform their enterprises. Our customized approach combines deep insight into the dynamics of companies and markets with close collaboration at all levels of the client organization. This ensures that our clients achieve sustainable competitive advantage, build more capable organizations, and secure lasting results. Founded in 1963, BCG is a private company with more than 90 offices in 50 countries. For more information, please visit bcg.com

Practice Area Profile

BCG GAMMA combines innovative skills in computer science, artificial intelligence, statistics, and machine learning with deep industry expertise. The GAMMA team is comprised of world-class data scientists and business consultants who specialize in the use of advanced analytics to get breakthrough business results. Our teams own the full analytics value-chain end to end: framing new business challenges, building fact-bases, designing innovative algorithms, creating scale through designing tools and apps, and training colleagues and clients in new solutions. Here at GAMMA, you’ll have the chance to work with clients in every BCG region and every industry area. We are also a core member of a rapidly growing analytics enterprise at BCG – a constellation of teams focused on driving practical results for BCG clients by applying leading edge analytics approaches, data, and technology. 

Role Profile

We are looking for a Machine Learning Engineer who can bring bleeding edge machine learning models into production together with a highly multi-disciplinary team of scientist, engineers, strategic partners, product managers and subject domain experts.

 

RESPONSIBILITIES:

    • Build Machine Learning based systems, tools, and services that serve as infrastructure for our internal and external clients
    • Responsible for inventing how we use technology, Machine Learning, and Data to enable the productivity of our clients
    • Help envision, build, deploy and develop our next generation of data engines and tools which will help our clients fundamentally transform their business
    • Bridge the gap between business and engineering, and functioning with deep expertise in both worlds.

Your Qualifications

REQUIREMENTS:

    • Engineering Degree or PhD in computer science
    • 3 to 5 years of experience in algorithms, data structures, and object-oriented programming
    • Good understanding of machine learning fundamentals and deep learning
    • Implementation experience in machine learning algorithms and applications
    • Knowledge of or experience in building production quality and large scale deployment of applications related to natural language processing and machine learning
    • Strong programming skills in at least one object oriented programming language (Java, Scala, C++, Python, etc.)
    • Fluency with at least one of the modern distributed ML frameworks such as TensorFlow, PyTorch,Caffe, MxNet
    • Familiarity with AWS/GCP/Azure technology stack
    • Fluency in French and English required

Date Posted:

02-Jul-2018

The Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
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