3 Luigy Jobs

As part of our team, you will have the opportunity to work in a dynamic and inclusive environment that fosters diversity and collaboration to build extraordinary teams. With a strong focus on diversity, inclusion, and social responsibility, we are proud to be recognized as one of the world's best places to work. Our commitment to creating a supportive and empowering workplace has led us to be consistently ranked as a top employer by various reputable organizations. You will be working alongside our generalist consultants and the Advanced Analytics Group (AAG) at Bain, where we leverage data science, customer insights, statistics, machine learning, and data engineering to help clients solve complex problems across various industries. Our team members, with diverse educational backgrounds in computer science, engineering, AI, data science, and other quantitative disciplines, collaborate to deliver innovative solutions. As a part of the team, your responsibilities will include designing, developing, and maintaining cloud-based AI applications using a full-stack technology stack to ensure high-quality, scalable, and secure solutions. You will collaborate with cross-functional teams to implement analytics features that meet business requirements and user needs. Additionally, you will deploy and manage analytics applications in cloud environments, develop APIs and microservices, and implement security measures to protect sensitive data. Your role will also involve monitoring application performance, participating in code reviews, staying updated on emerging technologies, and collaborating with DevOps teams to automate deployment processes. Furthermore, you will work with business consulting staff to develop analytics solutions for our clients and support the analytics application engineering capabilities. To be successful in this role, you are required to have a Master's degree in Computer Science or related field, along with expertise in Python, cloud platforms, and server-side technologies. Experience with client-side and server-side technologies, DevOps, CI/CD, and workflow orchestration is essential. You should possess strong interpersonal and communication skills, curiosity, critical thinking, and a solid foundation in computer science fundamentals. If you are passionate about leveraging analytics to drive business solutions, enjoy working in a collaborative environment, and are committed to continuous learning and development, we encourage you to apply. Travel may be required as part of the role.,

You will be joining a renowned consulting firm that has consistently been recognized as one of the best places to work globally. As part of the Application Engineering team within the AI, Insights & Solutions group, you will collaborate with a diverse group of experts in analytics, engineering, product management, and design to address clients" most challenging problems. Your role will involve designing, developing, and maintaining cloud-based AI applications using a full-stack technology stack to deliver secure and scalable solutions. Working in a multidisciplinary environment, you will collaborate with cross-functional teams to define and implement analytics features that meet business requirements and user needs. Utilizing Kubernetes and containerization technologies, you will deploy and manage analytics applications in cloud environments to ensure optimal performance and availability. Your responsibilities will also include developing APIs and microservices, implementing security measures to protect sensitive data, and monitoring application performance to resolve issues promptly. As a Senior or Staff level professional with a Masters degree in Computer Science or related field, you are expected to have a minimum of 5 years of experience in application engineering. Proficiency in client-side and server-side technologies, cloud platforms, and programming languages such as Python is essential. Additionally, experience with DevOps, CI/CD practices, and version control tools like Git is required. Your role will involve staying updated on emerging technologies, collaborating with DevOps teams to automate deployment processes, and contributing to the development of high-quality, maintainable code. You will play a pivotal role in collaborating with business consulting teams to assess opportunities and develop analytics solutions for clients across various sectors. Strong interpersonal skills, curiosity, critical thinking, and a proactive mindset are key attributes for success in this role. Travel may be required up to 30% of the time, and a deep understanding of data architecture, database design, and agile development methodologies will be advantageous in meeting the job requirements.,

You will be joining a renowned consulting firm known for being consistently ranked as one of the world's best places to work. The company has maintained a top position on Glassdoor's Best Places to Work list since 2009, emphasizing the importance of extraordinary teams in their business strategy. By intentionally bringing together diverse backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment, they ensure that every individual can thrive both professionally and personally. As part of the Application Engineering experts team within the AI, Insights & Solutions division, you will collaborate with a multidisciplinary group of professionals including analytics, engineering, product management, and design experts. Your role will involve leveraging deep technical expertise along with business acumen to assist clients in addressing their most transformative challenges. Working in integrated teams, you will develop data-driven strategies and innovative solutions to drive competitive advantage for clients by harnessing the power of data and artificial intelligence. Your responsibilities will include designing, developing, and maintaining cloud-based AI applications using a full-stack technology stack to deliver high-quality, scalable, and secure solutions. You will collaborate with cross-functional teams to define and implement analytics features, utilize Kubernetes and containerization technologies for deployment, develop APIs and microservices, ensure robust security measures, monitor application performance, contribute to coding standards, stay updated on emerging technologies, automate deployment processes, and collaborate closely with clients to assess opportunities and develop analytics solutions. To qualify for this position, you are required to have a Master's degree in Computer Science, Engineering, or a related technical field, along with at least 6 years of experience at a Senior or Staff level. Proficiency in client-side and server-side technologies, cloud platforms, Python, Git, DevOps, CI/CD, and various other technical skills is necessary. Additionally, strong interpersonal and communication skills, curiosity, proactivity, critical thinking, and a solid foundation in computer science fundamentals are essential for this role. This role also requires a willingness to travel up to 30% of the time. If you are looking for an opportunity to work in a collaborative and supportive environment, continuously learn and grow, and contribute to developing cutting-edge analytics solutions for clients across different sectors, this position may be the perfect fit for you.,