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About the Role
Develop and deploy AI solutions across Bain Capital, working closely with Investment teams to build capabilities that enhance decision-making, streamline processes, and deliver measurable value. Leverage deep expertise in AI, data science, and software engineering to implement AI solutions at scale, from data gathering and prompt engineering to agentic systems and production optimization. Champion AI best practices and collaborate to shape the roadmap for AI-based products.
Responsibilities
- Design, build, fine-tune, and deploy AI models and agentic applications tailored to a variety of business use cases.
- Work with business users to gather requirements, communicate technical approaches, and deliver actionable insights.
- Implement best practices for performance evaluation of AI applications, including accuracy, latency, scalability, and cost optimization.
- Establish robust data processing pipelines, ensuring high-quality labeled datasets for training and inference.
- Stay informed about the latest research and innovations in AI; drive continuous improvement by exploring emerging methods, tools, and frameworks.
- Provide guidance to junior engineers and data scientists and lead internal training sessions on AI best practices.
Requirements
- Advanced proficiency in Python for backend engineering and AI/ML model development.
- Experience deploying AI agents capable of planning, reasoning, and executing complex tasks with minimal human intervention.
- Experience integrating advanced search/vector databases (e.g., Pinecone) to enhance AI performance.
- Experience with AWS (e.g. EC2, EKS, S3, Lambda), containerization (e.g. Docker, Kubernetes), and infrastructure-as-code (e.g. Terraform).
- Strong understanding of data workflows and distributed computing frameworks for large-scale data ingestion, preprocessing, and feature engineering.
- Familiarity with MLOps tools, CI/CD pipelines for machine learning, experiment tracking (e.g., MLflow, Weights & Biases), and model deployment.
- Experience deploying and optimizing traditional machine learning models (e.g., XGBoost, Scikit-Learn).
- Working knowledge of React or similar frameworks to build user-facing AI-driven applications.
- BS or MS in Computer Science, Data Science, Machine Learning, or a related technical field.
- Several years of hands-on experience building and deploying machine learning or NLP solutions in a production environment.
- Demonstrated ability to create business value by applying machine learning algorithms and methods to complex, real-world scenarios.
- Ability to operate independently in a dynamic environment; comfortable taking ownership and driving projects to completion.
- Comfortable with rapid iteration, pivoting strategies, and learning new technologies as needed.
- Strong verbal and written communication skills to effectively collaborate with technical and non-technical stakeholders.
- Proven ability to mentor junior team members, lead complex initiatives, and foster collaboration.
Skills
- Python
- AI Engineering
- Agentic AI Systems
- RAG
- AWS
- Docker
- Kubernetes
- Terraform
- Data Engineering
- MLOps
- CI/CD
- MLflow
- Weights & Biases
- XGBoost
- Scikit-Learn
- React
Location
- Boston, MA
Work Type
- Full-time
Experience Level
- Several years of hands-on experience
Education Level
- BS or MS in Computer Science, Data Science, Machine Learning, or a related technical field
About the Company
- With approximately $185 billion of assets under management, Bain Capital is one of the world’s leading private investment firms.
- We create lasting impact for our investors, teams, businesses, and the communities in which we live.
- Over four decades we have strategically grown our platform to focus on Private Equity, Growth & Venture, Capital Solutions, Credit & Capital Markets, and Real Assets.
- Today, our team includes 1,880+ employees in 24 offices on four continents.
- We partner differently to help people and companies embrace possibility and realize potential.
- Founded as a private partnership in 1984, we have fostered a culture of innovation, entrepreneurialism, and agility, empowering our people to define and own their career trajectories.
- Today, our partnership approach enables us to pursue strategic growth, build enduring relationships with a robust external network, and collaborate across our integrated platform to connect the deep and diverse expertise that unlocks breakthrough insights.
- Our people are the heart of our advantage.
- Colleagues at all levels have a seat at the table as they tackle business challenges with a principal investor mindset.
- By asking incisive questions, respectfully challenging one another, and remaining intellectually agile, we work together to achieve exceptional outcomes.