Ml Solutions Architect • Mid-Level

Who you are

You have a strong background in machine learning and architecture design, with experience in client-facing roles that require excellent communication skills. You understand how to translate complex technical concepts into actionable solutions for clients, ensuring that their needs are met with feasible and scalable architectures. Your ability to lead pre-sales discussions showcases your expertise and confidence in the field. You are adept at collaborating with delivery teams to ensure that the solutions you design align with business objectives and client expectations. You thrive in environments where you can leverage your technical knowledge to solve real-world problems and drive client success.

What you'll do

As an ML Solutions Architect at Provectus, you will be responsible for leading technical discussions with clients, understanding their business challenges, and designing machine learning architectures that address these issues. You will work closely with delivery teams to ensure that the solutions you propose are not only technically sound but also scalable and aligned with client needs. Your role will involve conducting pre-sales technical discussions, where you will articulate the value of machine learning solutions and how they can benefit the client's business. You will also be tasked with ensuring that the solutions are feasible within the client's existing infrastructure and resources. Your ability to communicate effectively with both technical and non-technical stakeholders will be crucial in this role, as you will need to bridge the gap between client expectations and technical realities.

What we offer

At Provectus, we offer a collaborative work environment where your contributions will directly impact our clients' success. You will have the opportunity to work on cutting-edge machine learning projects and be part of a team that values innovation and creativity. We encourage you to apply even if your experience doesn't match every requirement, as we believe in fostering a diverse and inclusive workplace. Our commitment to professional development means you will have access to resources and training to enhance your skills and advance your career in the field of machine learning.