Machine Learning Engineer – QuantumBlack Job Vacancy in McKinsey & Company Gurgaon, Haryana – Updated today

Are you looking for a New Job or Looking for better opportunities?
We got a New Job Opening for

Full Details :
Company Name : McKinsey & Company
Location : Gurgaon, Haryana
Position :

Job Description : Who You’ll Work With
You will be based in our Gurugram office with our QuantumBlack Labs team. You will have the opportunity to work on complex problems with our clients across a number of domains. You will work part of a highly collaborative and cross-functional team of Data Scientists, Data Architects, Engineers and Designers.
QuantumBlack helps companies use data to drive decisions. We combine business experience, expertise in large-scale data analysis and visualization, and advanced software engineering know-how to deliver results. From aerospace to finance to Formula One, we help companies prototype, develop, and deploy bespoke data science and data visualization solutions to make better decisions. As a Machine Learning Engineer, you should be a keen problem solver who uses technology to solve complex analytical problems. You should have a deep interest in Big Data technologies, Analytics and Data Science.
Operating like an “internal start up”, we’ve already done a lot to be proud of, such as:
Designing products that can explain complex data landscapes and insights to our users
Building frameworks and libraries for data scientists and data engineers to work in large-scale, complex projects. We open-sourced some of these frameworks, such as our award-winning Kedro or CasualNex
Codifying the methodology by which we deliver advanced analytics projects to our clients and the tooling needed to support them
Our Engineers particularly love about QuantumBlack Labs:
Autonomy– Your users sit on the desk next to you, giving you unparalleled insight into key problems and the ability to design solutions iteratively, with literally rapid feedback. The fact that our developers have such good access to users make them great candidates to feed into the product lifecycle and suggest the next big thing!
Variety & Ownership Mindset– You’ll be part of an ecosystem of very different products, providing unique learning and development opportunities. You’ll not be just an engineer but a core part of the product team driving product decisions using your engineering creativity, where you’ll interact with users, work with designers and product managers, give presentations and talks. Our team frequently engage in efforts they are passionate about outside their core product team, such as our Analytics for Social Good initiative, sharing their experience during Lightning Talks, joining our Toastmasters group, and many others.
A Collaborative, Multi-disciplinary Environment– Our teams include machine learning engineers, creative technologists, product managers, and designers with various experience spikes who work collaboratively and are passionate about their work.
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
You will work closely with data scientists and data engineers to produce and deploy machine learning models. You will work with the guild leadership to set the standards for software engineering practices within the machine learning engineering team and support across other disciplines.
You will play an active role in leading team meetings and workshops with clients. You can choose and use the right analytical libraries, programming languages, and frameworks for each task. You will produce high-quality code that allows us to put solutions into production. You are required to refactor code into reusable libraries, APIs, and tools. You shall play a pivotal role to help us to shape the next generation of our products.
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 will benefit from:
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programs at all levels.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – We recognize the benefits of working with people from all walks of life.
Continuous development and progression – We offer an extensive choice of training sessions, ranging from workshops to international conferences, tailored to your needs as well as a personal mentorship system. We have multiple career paths and geographic locations to evolve within at the Firm.
Global community – you’ll learn from colleagues around the world by connecting both internally and externally through our various hosted meet-ups.
Visit our Careers site to watch our video and read about our interview processes and benefits.

Qualifications
Master’s degree in computer science, engineering, mathematics or equivalent experience
Professional experience with object-orientated programming languages such as Scala or C++ or Java
Good understanding of software engineering principles
Knowledge of Big Data technologies such as Spark, Hadoop/MapReduce is desirable
Strong coding skills in Python
Deep knowledge of testing frameworks and libraries
Good knowledge of database management languages such as SQL, PostgreSQL
Professional knowledge of machine learning environments such as regression, decision trees, random forest or deep learning

This post is listed Under  Technology
Disclaimer : Hugeshout works to publish latest job info only and is no where responsible for any errors. Users must Research on their own before joining any company