Lead Machine Learning Engineer

<p><strong>Janea Systems (USA)</strong>&nbsp;is a dynamic team of the best &amp; brightest software engineering specialists and solutions innovators, from around the world. From kernel to cloud, we provide high-impact software development services to Fortune 500 companies.<br><br>We are seeking an exceptionally talented&nbsp;<strong>Lead Machine Learning Engineer</strong> to join our rapidly growing consulting team. In this role, you will lead the design, development, and deployment of scalable machine learning and AI systems for enterprise clients.<br>You will work at the intersection of <strong>machine learning, distributed systems, and production software engineering</strong>, helping transform cutting-edge ML research into robust, production-grade solutions.&nbsp;As a Lead ML Engineer, you will guide ML architecture decisions, mentor engineers, and collaborate with cross-functional teams to deliver high-impact AI solutions across multiple industries.</p> <p><strong>&nbsp;</strong><strong>&nbsp;</strong></p> <table width="444"> <tbody> <tr> <td width="128"> <p><strong>Location</strong></p> </td> <td width="316"> <p>Fully Remote/ European Residence required</p> </td> </tr> <tr> <td width="128"> <p><strong>Compensation</strong></p> </td> <td width="316"> <p>Salary</p> </td> </tr> <tr> <td width="128"> <p><strong>Work Schedule</strong></p> </td> <td width="316"> <p>Full time/ Flexible working hours</p> </td> </tr> <tr> <td width="128"> <p><strong>Reports to</strong></p> </td> <td width="316"> <p>Head of Engineering</p> </td> </tr> <tr> <td width="128"> <p><strong>Member of</strong></p> </td> <td width="316"> <p>Engineering Team</p> </td> </tr> </tbody> </table> <p>&nbsp;</p> <p><strong>To be considered for this position, you must have the following qualifications:</strong>&nbsp;</p> <ul> <li>8+ years of experience in software engineering, machine learning engineering, or applied AI.</li> <li>3+ years of experience in technical leadership or mentoring engineering teams.</li> <li>Strong experience developing and deploying machine learning models in production environments.</li> <li>Hands-on experience with ML frameworks such as&nbsp;PyTorch, TensorFlow, or similar.</li> <li>Experience designing&nbsp;scalable ML systems and data pipelines.</li> <li>Strong programming skills in&nbsp;Python&nbsp;and experience with backend or distributed systems.</li> <li>Experience with&nbsp;cloud platforms&nbsp;(AWS, Azure, or GCP).</li> <li>Experience with&nbsp;containerization and deployment technologies&nbsp;(Docker, Kubernetes).</li> <li>Strong understanding of&nbsp;MLOps practices and model lifecycle management.</li> <li>Excellent problem-solving skills and ability to work independently in remote environments.</li> <li>Strong written and spoken English communication skills.</li> <li>Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.</li> </ul> <p>&nbsp;</p> <p><strong>Ideal candidates will also have:</strong>&nbsp;</p> <ul> <li>Experience working with&nbsp;LLMs, generative AI systems, or deep learning architectures.</li> <li>Experience building&nbsp;ML platforms or internal AI tooling.</li> <li>Familiarity with&nbsp;distributed training and large-scale data processing frameworks.</li> <li>Experience with&nbsp;feature stores, model monitoring, and ML observability tools.</li> <li>Experience delivering ML solutions in&nbsp;client-facing consulting environments.</li> </ul> <p>&nbsp;</p> <p><strong>Why join Janea? Because world-class talent deserves world-class opportunities. What we offer:</strong>&nbsp;</p> <ul> <li>Competitive compensation with benefits, paid vacation, and sick leave.</li> <li>The opportunity to work with a globally diverse team of top engineering talent on the industry’s toughest engineering<strong>&nbsp;</strong>challenges.&nbsp;</li> <li>Ultra-flexible working conditions – we provide a generous office equipment allowance so you can work from home, we can also provide you with a desk at an office/coworking facility near you, or use both. No business travel necessary.&nbsp;</li> <li>An enjoyable, start-up work environment, with excellent opportunities for professional growth and development.</li> <li>Flexible working hours – as a remote-first company, our focus has always been on getting the job done well, not when or where it gets done.&nbsp;</li> </ul> <p>&nbsp;</p> <p>#LI-DNI</p> <p>&nbsp;</p>