Director, Machine Learning Engineering

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Agile methodologies, Azure, AWS, GoLang, Apache Kafka, Scala Programming, Data science techniques, Apache Cassandra, Keras software library, PyTorch, TensorFlow, Docker, Kubernetes-K8s, Continuous Integration & Continuous Delivery - CI/CD, Google Cloud Platform (GCP), Scikit-learn, HDFS, Terraform, R Programming, Kubeflow, MLflow, Apache Solr, DevSecOps, SPARK Programming, AWS Sagemaker, Databricks, AzureML, Julia, Rust, Dask - Python library

Job Description

WHO YOU’LL WORK WITH

You'll join Bain’s Advanced Analytics Group (AAG). A team of high-impact quantitative technology specialists who solve statistical, machine learning, and data engineering challenges that we encounter in our client engagements. AAG team members hold advanced degrees in subjects ranging across statistics, mathematics, computer sciences and other quantitative disciplines, and have backgrounds in a variety of fields including data science, marketing analytics and research.

WHAT YOU’LL DO

• As a member of the growing Data Science and Machine Learning (ML) Engineering team in Bain’s Advanced Analytics Group, you will:
• Collaborate closely with and influence business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop data driven solutions for Bain clients across a variety of sectors
• Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applications
• Partner closely with other engineering and product specialists at Bain to support development of innovative analytics solutions and products
• Transform existing prototype code into optimized scalable, production-grade software
• Lead the development of re-usable frameworks, model and components
• Drive best practices in machine learning engineering and MLOps
• Develop relationships with external data and analytics vendors
• Provide thought leadership in state-of-the-art machine learning techniques
• Develop and deploy industry-leading machine learning solutions, aimed at solving client problems across industry verticals and business functions
• Act as Professional Development Advisor to a team of 3-5 machine learning engineers
• Work closely with AAG leadership to extend and grow our machine learning, engineering and analytics capabilities
• Help develop Advanced Analytics intellectual property and identify areas of new opportunity for data science and analytics for Bain and its clients
• Travel is required

ABOUT YOU

• Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Physics, Statistics, Applied Mathematics, etc.
• 10+ years of software engineering, analytics development or machine learning engineering experience
• 3+ years of experience managing data scientists and ML engineers
• Strong understanding of fundamental computer science concepts, software design best practices, software development lifecycle and common machine learning design patterns
• Solid understanding of foundational machine learning concepts and algorithms
• Broad experience deploying production-grade machine learning solutions on premise or in the cloud
• Expert knowledge of Python programming and machine learning frameworks (Scikit-learn, TensorFlow, Keras, PyTorch, etc.)
• Experience implementing ML automation, MLOps (scalable development to deployment of complex data science workflows) and associated tools (e.g. MLflow, Kubeflow)
• Experience working in accordance with DevSecOps principles, and familiarity with industry deployment best practices using CI/CD tools and infrastructure as code (e.g., Docker, Kubernetes, Terraform)
• Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks
• Familiarity with Agile software development practices
• Strong interpersonal and communication skills, including the ability to explain and discuss machine learning concepts with colleagues and clients
• Ability to collaborate with people at all levels and with multi-office/region teams
• Ability to work independently and juggle priorities to thrive in a fast paced and ambiguous environment, while also collaborating as part of a team in complex situations

ADDITIONAL SKILLS

• Proficiency in one or more of SQL, R, Java, C/C++, Scala, Rust, Go, Julia
• Experience using big data technologies and distributed computing engines, e.g. HDFS, Spark, Kafka, Cassandra, Solr, Dask

ABOUT US

Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future.