Principal Machine Learning Engineer [F/M/X]

Job Description

Industry: IT Services and IT Consulting
Seniority for this role: Mid-Senior level
Who are we? Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success. At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here’s what our recruitment process looks like: Brief Call : Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you! Interviews (the average number of interviews is 3 – the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities! Case study : Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc. As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate’s shoes to ensure they have the best possible experience. We look forward to meeting you! Job Description As a Principal Machine Learning Engineer, you will be responsible for designing, developing, and reviewing advanced machine learning models and architectures. You will play a key role in leading complex AI/ML project initiatives, providing technical guidance and architectural oversight to cross-functional engineering teams. You will also be involved in in-depth research and experimentation to evaluate emerging AI technologies and develop proof-of-concept solutions. Daily Tasks: Design, develop, and review advanced machine learning models and architectures, including deep learning, optimization, and generative AI systems. Lead complex AI/ML project initiatives, providing technical guidance and architectural oversight to cross-functional engineering teams. Conduct in-depth research and experimentation to evaluate emerging AI technologies, assess their potential applications, and develop proof-of-concept solutions. Review and optimize existing AI systems for performance, scalability, and efficiency, implementing advanced techniques like model compression and transfer learning. Collaborate with product managers and stakeholders to translate business requirements into technical AI strategies and implementation roadmaps. Profile Requirement: Minimum Technical Skills: Expert-level proficiency in Python, with a deep understanding of machine learning libraries. Advanced knowledge of machine learning algorithms, neural network architectures, and AI model development. Extensive experience with cloud platforms (must have GCP, nice to have Azure) and AI/ML cloud services. Strong background in statistical modeling, data preprocessing, and feature engineering. Proficiency in big data technologies and distributed computing frameworks. Demonstrated ability to design and implement scalable machine learning infrastructure. Leadership and Experience Level: Minimum of 8-10 years of professional experience in AI/ML engineering. Proven track record of leading complex AI initiatives from conception to production. Senior technical leadership experience, capable of mentoring junior engineers and driving technical strategy. Ability to communicate complex technical concepts to both technical and non-technical stakeholders. Demonstrated innovation in AI research or practical applications. Why Join Us? We offer a stimulating work environment where innovation is encouraged, and you will have the opportunity to work on cutting-edge projects. If you are passionate about artificial intelligence and want to be part of a dynamic team, we would love to receive your application! Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics. Show more Show less