Senior Machine Learning Engineer

Role overview

• check_circle Own ML projects end-to-end, manage communication with ML leadership and various stakeholders to make sure projects are delivered according to requirements and resource / time constraints.
• check_circle Design and build scalable machine learning services.
• check_circle Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes.
• check_circle Collaborate with data platform, product and MLOPs engineers to implement ML/AI based solutions.
• check_circle Deploy, manage, and optimize inference services on autoscaling fleets with GPUs and specialized inference hardware.
• check_circle BS, MS, or Ph.D. in Computer Science or related field and/or equivalent experience in the space.
• check_circle 5+ years of machine learning research experience.
• check_circle 3+ years of NLP experience focusing on neural network approaches (BERT, BART, RoBERTa, etc.)
• check_circle 3+ years of cloud computing experience (preferably AWS).
• check_circle Comfortable with modern tools for building ML pipelines, including data processing, training, inference, and evaluation.
• check_circle Solid knowledge of Git, Docker.
• check_circle Good Knowledge of Kubernetes
• check_circle Proficiency with frameworks and models such as Pytorch, Torchserve, TensorFlow, TF Serving, Kubeflow, MLflow.
• check_circle Experience contributing and maintaining python monorepos.
• check_circle Good knowledge of Object oriented Programming

Benefits

• check_circle Competitive salary and benefits.
• check_circle Hybrid working in a team that is passionate about the work we deliver and supporting the development of those that we work with.
• check_circle A company that focuses on wellbeing and work life balance including initiatives such as flexible working and mental health support.

About the company