Experience:

• 3-5 years of experience in a data, ML, or software engineering role

Role Focus:

• Support deployment and day-to-day operations of Pyxis ML microservices including classifiers, clustering, LLM pipelines, and rule engines
• Manage training data curation across large datasets and own model development and deployment end to end
• Run and validate training and prediction pipelines for supervised and unsupervised models
• Monitor async job queues and troubleshoot failures across Redis Queue, EC2 machines, and other routers
• Assist with model artifact management for MLOps visibility and root cause analysis
• Assist with Snowflake-based data ingestion, SQL rule resolution, and data management for model development
• Support LLM pipeline operations including OpenAI/Anthropic batch jobs, token monitoring, and output validation
• Help manage OpenAI/Anthropic batch and synchronous completions pipelines
• Monitor token usage, job statuses, and flag anomalies
• Support prompt template updates and output validation
• Support CI/CD workflows for ML services using GitHub Actions including Docker and Terraform builds and ECS deployments
• Maintain containerized ML services on AWS
• Assist with S3 integrations, IAM configurations, and queue management
• Work closely with Data Scientists and DevOps on pipeline onboarding
• Maintain documentation and runbooks for operational processes
• Partner directly with Client Success and Operations on model outputs for clients

Nice to have:

• Exposure to FastAPI or similar frameworks
• Exposure to CI/CD pipelines and GitHub Actions
• Familiarity with LLM APIs or prompt engineering
• Understanding of NLP/text vectorization concepts
• Interest in retail data, product taxonomy, or consumer analytics

More skills:

AWS services, CI/CD pipelines, GitHub Actions, LLM APIs, NLP, text vectorization

Other:

• Permanent Full-Time employment
• Part of Bain Capability Network (BCN) supporting global Bain case teams
• Recognized as one of the world's best places to work
• Champion of diversity and social responsibility
• Ranked #1 consulting firm on Glassdoor’s Best Places to Work list
• Strong focus on diversity, inclusion, and collaboration
• Public recognition for diversity and inclusion efforts for women, LGBTQ, and parents