Bain & Company

Senior Machine Learning Engineer

Atlanta, GA | $123K - $162K

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Qualifications

2-3 years of engineering experience
Proficient knowledge of Python and SQL
Proficiency in one or more of R, Java, C++, Scala, Go, Julia
Understanding of implementing statistical and machine learning models, deploying these and maintaining them in production environments
Strong understanding of fundamental computer science concepts, particularly data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
Solid understanding of foundational concepts and algorithms in statistics and machine learning, including NLP, linear/logistic regression, SVM, random forest, boosting, neural networks, dimensionality reduction, reinforcement learning, etc
Understanding of machine learning frameworks and tools (e.g. Pandas, numpy, scikit-learn, TensorFlow, Pytorch, Keras, Huggingface)
Understanding of MLOps (scalable development to deployment of complex data science workflows) and associated tools, e.g. MLflow, Kubeflow
Experience with containers, Docker and Git
Experience working in accordance with DevSecOps principles, and familiarity with industry deployment best practices using CI/CD tools and infrastructure as code (Jenkins, Docker, Kubernetes, and Terraform)
Experience with cloud platforms (e.g
AWS, GCP, Azure, Databricks, etc) and associated machine learning products, e.g. Amazon SageMaker, Azure ML
Experience in big data technologies, e.g. Hadoop, BigQuery, MapReduce, Apache Spark
Strong interpersonal and communication skills, including the ability to explain and discuss technicalities of ML algorithms and techniques with colleagues and clients from other disciplines
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
Travel is required (30%)

Responsibilities

As a member of the growing Data Science and Machine Learning (ML) Engineering team in Bain’s Advanced Analytics Group, you will:
Work with general consulting teams to understand ML aspects of business problems, and appropriately prioritize and execute
Provide technical expertise for end-to-end technical solution delivery on client cases (from solution architecture to hands-on development work)
Develop statistical/ML models to be handed over to clients as prototype or production software
Transform existing prototype code into scalable, production-grade software
Write, test, deploy and maintain machine learning code across the full software development lifecycle
Collaborate on (or lead) the development of re-usable common frameworks, model and components that can be highly leveraged to address common ML engineering problems across industries and business functions
Drive best demonstrated practices in software engineering, and share learnings with team members in AAG about theoretical and technical developments in ML engineering

Benefits

Compensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain’s best in class benefits package (details listed below)
Some local governments in the United States require a good-faith, reasonable salary range be included in job postings for open roles
In New York City, the good-faith, reasonable annualized full-time salary range for this role is between $122,500 - $162,000; placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level
For all other U.S. locations, the good-faith, reasonable annualized full-time salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level
This role may also be eligible for other elements of discretionary compensation
4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date
Bain & Company's comprehensive U.S. benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family

: 10,001+ employees
: Financial Services, Professional Services, Technology, Consumer Goods, Information Technology and Services, Healthcare, Technology Services, Digital Transformation, Business Services, Consulting Services
: Privately Held
: Boston, MA
: Company Specialties:
Strategy, Customer Strategy & Marketing, Performance Improvement, Mergers & Acquisitions, Private Equity, Organization, Results Delivery, Information Technology, and Corporate Renewal