BCG Gamma designs and builds powerful analytics-based solutions designed to help our clients tackle their most pressing business problems. We are an interdisciplinary team of data scientists and BCG consultants, collectively delivering a unique combination of domain expertise, analytics know-how, and leading technologies. Our teams own the full analytics value-chain end to end: framing new business challenges, building fact-bases, designing innovative algorithms, creating scale through creating tools and apps, and training colleagues and clients in new solutions. BCG Gamma is a global capability, working with clients in every BCG region and in every industry area. The team partners with BCG practices, including Operations and Marketing, Sales, and Pricing. Gamma is 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.
OVERVIEW OF GAMMA ENGINEERING:
The Gamma Engineering team is building the next generation of analytics tools. With your help, Gamma will develop a platform that fuels BCG Gamma‘s global data and analytics offerings. Data scientists depend on easy to use interfaces to easily code, increase productivity, answer questions, and envision their results. Clients need to easily interact with our analytics applications to measure the success of their new analytics enabled organization or quickly make decisions based on what and how they see analytic output. Our clients will use our analytics solutions to derive insights around business trends. We “open the doors” to data for our clients giving them fast and trusted options to search, frame, and share data. Gamma’s goal is to help our clients understand what their data means and provide them the tools to share its narrative with various audiences.
BCG Gamma is seeking a Senior Machine Learning Engineer to join our Gamma engineering team. The ideal candidate will have industry experience working on a range of different Machine Learning disciplines, e.g. Anomaly Detection, payment fraud, fraud detection, search ranking, text/sentiment classification, spam detection and others. The position will involve taking these skills and applying them to some of the most exciting and massive data and analytics problems across multiple industries. We are looking for machine learning engineers to join the ML effort for our teams, building ML-based systems, tools, and services that serve as infrastructure for our internal and external clients.
As a strong software leader and an expert in building complex systems, you will be responsible for inventing how we use technology, Machine Learning, and Data to enable the productivity of our clients. You will help envision, build, deploy and develop our next generation of data engines and tools which will help our clients fundamentally transform their business. You will be bridging the gap between business and engineering, and functioning with deep expertise in both worlds.
BASIC JOB RESPONSIBILITIES:
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.
BASIC JOB REQUIREMENTS:
Degree in computer science (or in a highly related area) or equivalent experience
5 to 8 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
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
Eager to learn new algorithms, new application areas and new tools.
Excellent communication skills
MSc or PHD in Computer Science (or in a highly related area)
Knowledge of or experience in building production quality and large scale deployment of applications related to natural language processing and machine learning
Familiarity with AWS/GCP/Azure technology stack
Experience working with global and remote teams
Level of experience (years):
Senior (5+ years of experience)
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