Data Scientist - MLOps

At BBH, Partnership is more than a form of ownership—it’s our approach to business and relationships.  We know that supporting your professional and personal goals is the best way to help our clients and advance our business. We take that responsibility seriously. With a 200-year legacy and a shared passion for what’s next, this is the right place to build a fulfilling career.

BBH’s AI Lab team is looking for a Data Scientist with MLOps focus to join our team! You will play a key role in operationalizing machine learning workflows across the entire lifecycle—from data ingestion and model training to deployment, monitoring, and retraining. You will design and maintain scalable data pipelines and infrastructure that support the development and deployment of robust ML models in production environments.

Key Responsibilities:

• Collaborate with Data Scientists, MLOps engineers and business stakeholders to understand requirements and translate them into scalable data and ML solutions
• Design, build and maintain robust data pipelines for ML model training and inference using structured and unstructured data of various scale
• Develop and maintain production-ready code for training, serving, and monitoring machine learning models
• Implement CI/CD pipelines deployment and retraining workflows
• Ensure reproducibility and traceability of ML experiments using versioning and metadata tools
• Monitor performance and health of deployed models

Qualifications:

• Fluent in Python
• Familiarity with software engineering principles, including unit testing and version control (e.g., Git)
• Familiarity with Linux-based environments and scripting for automation
• Experience monitoring ML models in production, including logging, metrics, and alerting
• Experience in working with Kubernetes
• Experience with Microsoft Azure; nice to have experience deploying ML solutions in cloud environments (e.g., Microsoft Azure, AWS, or GCP)
• Knowledge and experience with Vector DBs
• Understanding and experience in working with CI/CD tools
• ML/data libraries: Pandas, NumPy, scikit-learn, PyTorch, NLTK, etc.
• Knowledge of machine learning techniques and model lifecycle management
• Knowledge of methods and techniques for explaining decisions of ML models
• Minimum of 3 years of experience in a data science, data engineering, ML engineering or MLOps engineering role
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related field

We value diverse experiences. We value diverse experiences and transferrable skillsets. If your career hasn’t followed a traditional path, includes alternative experiences, or doesn’t meet every qualification or skill listed in the job description, please do go ahead and apply.

About BBH:

Brown Brothers Harriman (BBH) is a premier global financial services firm, known for premium service, specialist expertise, technology solutions and partnership approach to client management. Across Investor Services and Capital Partners, we work with an enviable roster of sophisticated clients who make BBH their first call when they are tackling their hardest challenges. Delivering for our clients and each other energizes us.

We believe that how we do our work is just as important as what we do. We are relentless problem solvers who know our best ideas come from collective debate and development—so we are never possessive about our ideas. Every day we come together as a diverse community of smart and caring people to deliver exceptional service and expert advice—creating success that lasts. No matter where you sit in the organization, everyone is empowered to contribute their ideas. BBHers can pick up the phone and call any colleague, and they are happy to help. Expanding your impact beyond your daily role is part of how we operate as trusted partners to one another. 

We believe stability is a competitive advantage, but being stable means having the knowledge, skill, and discipline to evolve, often—pushing the boundaries of innovation.  As a private partnership, every investment we make is in the relationships, technologies, products and development we believe are in the long-term interests of our clients and our people. Our long-tenured leaders are experts in their areas and are actively involved in the day-to day business, taking the time to provide guidance and mentoring to build the next generation of BBHers. Because we know, our success begins with yours.

Go to BBH.com to learn more about our rewards and benefits, philanthropy, approach to sustainability or how we support you to thrive personally, physically and financially.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, genetic information, creed, marital status, sexual orientation, gender identity, disability status, protected veteran status, or any other protected status under federal, state or local law.