Job Description
<p>NeuralCore Systems is at the forefront of artificial intelligence, and we are looking for a visionary Senior Machine Learning Engineer to join our team for the critical 2026 roadmap. In this role, you will design and implement cutting-edge algorithms that will define the next generation of intelligent applications. We are committed to pushing the boundaries of what is possible in AI, and your work will directly impact our trajectory for the coming years.</p><p>You will work in a collaborative environment with data scientists, software engineers, and product managers to deliver scalable solutions. If you are passionate about the future of technology and want to be part of a team that is building the foundation for 2026 and beyond, we want to hear from you.</p><p><strong>Why Join Us?</strong></p><ul><li>Competitive salary and equity package</li><li>Flexible remote and hybrid work options</li><li>Access to state-of-the-art hardware and cloud resources</li><li>Professional development and learning stipends</li></ul>
Responsibilities
- <ul><li>Design, train, and deploy advanced machine learning models and algorithms to solve complex business problems.</li><li>Collaborate with cross-functional teams to integrate AI capabilities into our core product suite for the 2026 release.</li><li>Optimize machine learning pipelines for scalability, speed, and accuracy, ensuring high performance under heavy load.</li><li>Conduct thorough data analysis to identify trends, patterns, and opportunities for model improvement.</li><li>Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.</li><li>Stay up-to-date with the latest research and industry trends in machine learning and deep learning.</li></ul>
Qualifications
- <ul><li>Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>5+ years of professional experience in machine learning, data science, or a related role.</li><li>Strong proficiency in Python, with extensive experience using libraries such as TensorFlow, PyTorch, or Scikit-learn.</li><li>Deep understanding of machine learning concepts including supervised/unsupervised learning, neural networks, and natural language processing.</li><li>Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, or Azure).</li><li>Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.</li><li>Proven track record of delivering production-ready machine learning solutions.</li></ul>