Sr. ML Engineer (prioritization engine)

As a Senior ML Engineer at Revic, your responsibilities will include building machine learning models that recommend next-best sales actions, training and deploying these models using AWS SageMaker and ClearML, designing and maintaining feature stores for analyzing historical win/loss data, and optimizing models to ensure low-latency inference.

Revic requires candidates for the Senior ML Engineer position to have over six years of experience in ML Engineering, with an emphasis on deep learning. A strong proficiency in Python and PyTorch, along with ML pipeline development skills, is essential. Familiarity with experiment tracking using ClearML and model deployment through AWS SageMaker will also be necessary.

The Senior ML Engineer position at Revic utilizes a robust tech stack consisting of Python, PyTorch for deep learning, ClearML for experiment management, AWS SageMaker for model deployment, and PostgreSQL for database management. This configuration allows for advanced machine learning development and deployment.

Revic's AI-powered prioritization engine aids sales teams by recommending the next-best actions for accounts, deals, and leads. This sophisticated approach helps sales representatives focus their efforts on high-impact opportunities, thus enhancing productivity and improving sales outcomes.

At Revic, the work environment for a Senior ML Engineer is collaborative and innovative. You will be part of a dynamic team that encourages creativity and takes a forward-thinking approach to problem-solving. With a focus on developing cutting-edge AI solutions, your contributions will play a vital role in shaping the future of sales technology.

When answering this question, focus on Revic's commitment to innovation and its mission to empower sales teams with AI. Highlight your enthusiasm for contributing to impactful projects and how your skills align with the company’s goals.

Be specific about the types of models you’ve built, the datasets you used, and the technologies involved. Share a particular project and the outcomes as a result of your work, and make sure to connect it to how those skills will benefit you at Revic.

Discuss techniques you employ to reduce latency, such as model pruning, quantization, or utilizing efficient algorithms. Provide examples from past experiences to illustrate your understanding and how you can bring similar strategies to the role at Revic.

Detail your familiarity with AWS SageMaker and ClearML for deployment and experiment tracking, respectively. Mention specific features you have used and how they contributed to the success of your past projects, showcasing how this experience will help at Revic.

Talk about the processes you implement for testing and validating models, such as cross-validation or holdout testing. Relate these practices to how they can be beneficial for the machine learning initiatives at Revic.

Mention resources you follow, such as research papers, industry conferences, or online courses. Show your enthusiasm for continuous learning and how it helps you remain relevant in the fast-evolving field of machine learning, which aligns with Revic's innovative spirit.

Use the STAR method (Situation, Task, Action, Result) to outline a complex problem, the steps you took to address it, and the positive results achieved. Focus on demonstrating your problem-solving skills, a key trait for the Sr. ML Engineer role at Revic.

Discuss the importance of data quality, cleaning, and preprocessing in the overall success of machine learning projects. Relate how these steps have directly impacted the effectiveness of models you’ve built and the potential for high-quality data at Revic.

Share your methods for prioritization, such as agile methodologies or the use of project management tools. Highlight examples where collaboration led to successful project outcomes, showing how you can effectively work with the team at Revic.

Reflect your passion for the potential of machine learning to innovate and transform businesses. Share personal anecdotes or career milestones that emphasize your excitement about driving change through technology, particularly in a role like the Sr. ML Engineer position at Revic.