Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
WHO YOU'LL WORK WITH
You will join a product team in QuantumBlack Labs. You will work with data scientists, data engineers software engineers, other machine learning engineers, product managers, and designers to create innovative products and new technologies that facilitate, accelerate and enable the development and deployment of Artificial Intelligence / Machine Learning solutions at scale in production.
Operating like an “internal start-up”, we’ve already done a lot to be proud of, such as:
Our engineers particularly love about QuantumBlack Labs:
WHO YOU ARE
You know how to engineer beautiful code in Python and/or Scala and want to work on varied data science projects. You are looking to constantly develop your skills and adapt to new technologies, trends, and frameworks. You have a deep interest in Big Data technologies, Analytics and Data Science. You are a keen problem solver who uses technology to solve complex analytical problems.
WHAT YOU'LL DO
As a Machine Learning Engineer, you will:
Our tech stack:
While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the Python Scientific Stack; MLFlow, Grafana, Prometheus for machine learning pipeline management and monitoring; SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS; Django, GraphQL and ReactJS for horizontal product development; container technologies such as Docker and Kubernetes, CircleCI/Jenkins for CI/CD, cloud solutions such as AWS, GCP, and Azure as well as Terraform and Cloudformation for deployment, and many more!
However, we advocate using the right tech for the right task. Technology evolves and engineering is responsible to stay up to date with the latest technologies and ensure we make the relevant changes where needed.
What you'll benefit from:
Visit our Careers site to watch our video and read about our interview processes and benefits.
QUALIFICATIONS
McKinsey & Company is a management consulting firm, founded in 1926 by University of Chicago professor James O. McKinsey, that advises on strategic management to corporations, governments, and other organizations. McKinsey is the oldest and largest of the Big Three management consultancies (MBB), the world's three largest strategy consulting firms by revenue. It has consistently been recognized by Vault as the most prestigious consulting firm.
Paris, France
2-4 year
Berlin, Germany
2-4 year
Hanoi, Hoàn Ki?m, Hanoi, Vietnam
2-4 year
Chennai, Tamil Nadu, India
2-4 year
Gurugram, Haryana, India
2-4 year
Atlanta, GA, USA
2-4 year
Charlotte, NC, USA
2-4 year
Chicago, IL, USA
2-4 year
Cleveland, OH, USA
2-4 year
Dallas, TX, USA
2-4 year
Denver, CO, USA
2-4 year
Detroit, MI, USA
2-4 year
Denver, CO, USA
2-4 year
Houston, TX, USA
2-4 year
Miami, FL, USA
2-4 year
Minneapolis, MN, USA
2-4 year
Philadelphia, PA, USA
2-4 year
Pittsburgh, PA, USA
2-4 year
Seattle, WA, USA
2-4 year
Waltham, MA, USA
2-4 year
Washington D.C., DC, USA
2-4 year
Düsseldorf, Germany
0-2 year
Abu Dhabi - United Arab Emirates
2-4 year
Atlanta, GA, USA
2-4 year
Boston, MA, USA
2-4 year
Dallas, TX, USA
2-4 year
Düsseldorf, Germany
2-4 year
Düsseldorf, Germany
2-4 year
Frankfurt, Germany
2-4 year
Hamburg, Germany
2-4 year
Johannesburg, South Africa
2-4 year
Munich, Germany
2-4 year
New Jersey, USA
2-4 year
Paris, France
2-4 year
Rio de Janeiro, State of Rio de Janeiro, Brazil
2-4 year
Riyadh Saudi Arabia
2-4 year
Waltham, MA, USA
2-4 year
Berlin, Germany
2-4 year
Berlin, Germany
2-4 year
Düsseldorf, Germany
2-4 year
Düsseldorf, Germany
2-4 year
Frankfurt, Germany
2-4 year
Hamburg, Germany
2-4 year
Munich, Germany
2-4 year
Munich, Germany
2-4 year
Atlanta, GA, USA
2-4 year
Atlanta, GA, USA
2-4 year
Austin, TX, USA
2-4 year
Austin, TX, USA
2-4 year
Boston, MA, USA
2-4 year
Boston, MA, USA
2-4 year
Calgary, AB, Canada
2-4 year
Charlotte, NC, USA
2-4 year
Charlotte, NC, USA
2-4 year
Chicago, IL, USA
2-4 year
Chicago, IL, USA
2-4 year
Cleveland, OH, USA
2-4 year
Dallas, TX, USA
2-4 year
Dallas, TX, USA
2-4 year
Detroit, MI, USA
2-4 year
Houston, TX, USA
2-4 year
Houston, TX, USA
2-4 year
Lisbon, Portugal
2-4 year
Los Angeles, CA, USA
2-4 year
Miami, FL, USA
2-4 year
Minneapolis, MN, USA
2-4 year
Montreal, QC, Canada
2-4 year
Montreal, QC, Canada
2-4 year
New Jersey, USA
2-4 year
New Jersey, USA
2-4 year
Philadelphia, PA, USA
2-4 year
Philadelphia, PA, USA
2-4 year
Pittsburgh, PA, USA
2-4 year
São Paulo, Brazil
2-4 year
Seattle, WA, USA
2-4 year
Silicon Valley, CA, USA
2-4 year
St. Louis, MO, USA
2-4 year
Stamford, CT, USA
2-4 year
Stamford, CT, USA
2-4 year
Toronto, ON, Canada
2-4 year
Toronto, ON, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Washington D.C., DC, USA
2-4 year
Denver, CO, USA
2-4 year
Chicago, IL, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
San Francisco, CA, USA
2-4 year
Paris, France
0-2 year
Charlotte, NC, USA
6-8 year
Cleveland, OH, USA
6-8 year
Los Angeles, CA, USA
6-8 year
Minneapolis, MN, USA
6-8 year
Philadelphia, PA, USA
6-8 year
Pittsburgh, PA, USA
6-8 year
San Francisco, CA, USA
6-8 year
Silicon Valley, CA, USA
6-8 year
St. Louis, MO, USA
6-8 year
Washington D.C., DC, USA
6-8 year
Bogotá, Bogota, Colombia
6-8 year
Montreal, QC, Canada
6-8 year
Toronto, ON, Canada
6-8 year
Vancouver, BC, Canada
6-8 year
Hanoi, Vietnam
2-4 year
Paris, France
4-6 year
Düsseldorf, Germany
2-4 year
Washington D.C., DC, USA
8-10 year
Toronto, ON, Canada
8-10 year
Johannesburg, South Africa
4-6 year
San José Province, San José, Costa Rica
0-2 year
Milan, Metropolitan City of Milan, Italy
0-2 year
Atlanta, GA, USA
2-4 year
Boston, MA, USA
2-4 year
Dallas, TX, USA
2-4 year
Denver, CO, USA
2-4 year
Houston, TX, USA
2-4 year
Washington D.C., DC, USA
2-4 year
Toronto, ON, Canada
2-4 year
Brussels, Belgium
2-4 year
Amsterdam, Netherlands
2-4 year
Madrid, Spain
2-4 year
Lisbon, Portugal
2-4 year