GAMMA - Senior Machine Learning Engineer

Location:

Boston, Chicago, Los Angeles, Montreal, New York, San Francisco, Seattle, Toronto, Washington, D.C.

Geography:

North America

Capabilities:

Big data & advanced analytics, Technology & digital

Industries:

Technology industries

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we work closely with clients to embrace a transformational approach aimed at benefiting all stakeholders—empowering organizations to grow, build sustainable competitive advantage, and drive positive societal impact.

Our diverse, global teams bring deep industry and functional expertise and a range of perspectives that question the status quo and spark change. BCG delivers solutions through leading-edge management consulting, technology and design, and corporate and digital ventures. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, fueled by the goal of helping our clients thrive and enabling them to make the world a better place.

Practice Area Profile

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.

Given the technical specialization needed for this role, it will be housed within BCG X, BCG’s cutting-edge group of computer science, statistics, AI and machine learning experts with deep industry expertise. These teams own the full analytics and product development 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. While housed within BCG X, This role will partner closely with our BCG Tech Capital commercial due diligence consulting teams to drive insights across integrated commercial and product diligences with close alignment with our Principal Investors and Private Equity Practice.

What You'll Do

OVERVIEW OF GAMMA ENGINEERING:

The Gamma Engineering team is building the next generation of analytics tools. 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.


POSITION SUMMARY:

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.

What You'll Bring (Experience & Qualifications)

BASIC Job requirements:

·         Bachelor’s Degree in Computer Science, Machine Learning, or relevant field

·         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

·         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.

Strongly PREFERRED:

·         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

·         DevOps: Kubernetes, Docker, CI/CD

·         Building REST API

·         Knowledge of relational database management: SQL, PostgreSQL, Microsoft SQL etc.

·         Knowledge of NoSQL databases (MongoDB, Neo4j, Redis etc.)

·         Unix-based command line & development tools

WORK ENVIRONMENT:
• Fast-paced, intellectually intense, service-oriented environment
• Optimal locations are New York, Washington DC, Boston, Chicago, Seattle, Toronto, San Francisco
• Expect up to 40% - 75% of time spent traveling

Date Posted:

19-Sep-2018

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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