Senior Analytics Application Engineer (Backend, Generative AI)

Key Skills

.NET, Aartificial intelligence, Agile methodologies, Algorithms, AngularJS, API, AWS, Azure, CSS, Django, Docker, Flask, Google Cloud Platform (GCP), HTML, Kubernetes-K8s, Node.js, Python Programming, React.js, Terraform

Job Description

WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are a Glassdoor Best Place to Work and we have maintained a spot in the top four since its founding in 2009. We believe that diversity, inclusion and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally.

WHO YOU’LL WORK WITH

Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, engineering, customer insights, statistics, machine learning, data management, and supply chain analytics. Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.

Core Responsibilities

• Design, develop, and maintain cloud-based applications of generative AI and advanced analytics, leveraging a full technology stack to deliver high-quality, scalable, and secure solutions.
• Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define and implement generative AI and other advanced analytics features that meet business requirements and user needs.
• Utilize Kubernetes and containerization technologies to deploy, manage, and scale generative AI and analytics applications in cloud environments, ensuring optimal performance and availability.
• Implement and maintain data pipelines and ETL processes to ingest, transform, and analyze large volumes of data from various sources, enabling real-time and batch analytics.
• Develop and maintain APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentation.
• Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policies.
• Continuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experience.
• Participate in code reviews and contribute to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code.
• Stay current with emerging trends and technologies in cloud computing, data analytics, and software engineering, and proactively identify opportunities to enhance the capabilities of the analytics platform.
• Collaborate with DevOps and infrastructure teams to automate deployment and release processes, implement CI/CD pipelines, and optimize the development workflow for the analytics engineering team.
• Collaborate closely with and influence business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop analytics solutions for Bain clients across a variety of sectors.
• Influence, educate and directly support the analytics application engineering capabilities of our clients.
• Travel is required (30%)

Requirements

• Master’s degree in Computer Science, Engineering, or a related technical field. 
• 3+ years at Senior level, or equivalent 
• Experience with one of the client-side technologies such as React, Angular, Vue.js, HTML and CSS
• Experience with one of the server-side technologies such as Node.js, Django, Flask/fastAPI, .NET Core or Java Spring Boot
• 2+ years of Python
• Experience with Cloud platforms and services (AWS, Azure, GCP, etc)
• Experience implementation of large-scale structured or unstructured databases, orchestration, container and infrastructure-as-code technologies such as Docker, Kubernetes or Terraform
• Strong interpersonal and communication skills, including the ability to explain and discuss complex mathematical and machine learning technicalities with colleagues and clients from other disciplines at their level of cognition 
• Interest in or experience with generative AI methods (LLMs such as GPT, LLaMA, PaLM, or related technologies such as LangChain, Pinecone, Weaviate, etc.)
• Curiosity, proactivity and critical thinking 
• Strong computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance.
• Strong knowledge in designing API interfaces
• Knowledge of data architecture, database schema design and database scalability
• Agile development methodologies