Staff ML Engineer

As a Staff Machine Learning Engineer at Onclusive, you will be responsible for leading machine learning projects from experimentation to deployment. You will play a crucial role in integrating machine learning solutions into our production systems, driving the success of the company. Additionally, this role provides an opportunity for you to not only enhance your technical skills but also grow as a leader. Your primary responsibilities will include owning machine learning projects end-to-end, collaborating with ML leadership and stakeholders to ensure project delivery aligns with requirements and constraints. You will design and develop scalable machine learning services, research and implement advanced algorithms for data analysis, and work closely with data platform, product, and MLOps engineers to deploy ML/AI solutions effectively. Key qualifications for this role include a degree in Computer Science or a related field, along with 5+ years of experience in machine learning research. You should also have at least 3 years of experience in Natural Language Processing (NLP) with a focus on neural network approaches such as BERT, BART, and RoBERTa. Proficiency in cloud computing, particularly AWS, as well as familiarity with modern ML pipeline tools like Git, Docker, and Kubernetes are essential. Moreover, you should have a strong understanding of frameworks like Pytorch, Torchserve, TensorFlow, and platforms like Kubeflow and MLflow. Joining our team means being part of a fast-growing global company that values your professional growth. In return for your contributions, we offer a competitive salary and benefits package, a hybrid working environment, and a supportive team culture dedicated to your development. Our focus on wellbeing and work-life balance includes initiatives like flexible working arrangements and mental health support. If you are passionate about machine learning and eager to take on challenging projects in a dynamic environment, this role at Onclusive offers an exciting opportunity to make a significant impact and further your career.,