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.
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
requirements-expected :
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
offered :
Hybrid model 3 days per week in the office /2 days for a parent of a child up to 4 yearsTo encourage cultural awareness and philanthropy, BBHers have 1 Culture Celebration Day and 1 Community Service Day in addition to their paid standard vacation allowance
Contracts for an indefinite period, from day one
Private medical care
Life Insurance
Employee Assistance Program - offering independent and confidential counselling services for you and your family. You can get support for topics including family, marriage and relationships, finances, and legal issues.
Professional trainings and qualification support
Wellbeing Program
Online Social Fund benefit platform
Social, sport and integration events
Onboarding Program for new hires
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
