Senior Machine Learning Engineer

About Us:

Onclusive is a world leader in media intelligence technology and services dedicated to supporting PR, Communications and Marketing professionals. We deliver leading-edge innovation, human expertise, and unmatched media reach in a suite of media management, monitoring and analysis solutions that support every stage of the communications cycle. Our unified platform and services enable our customers to make fast, accurate, data-driven decisions about their communications and marketing strategies, allowing them to prove and improve their value.

About the Role:

As a Senior Machine Learning Engineer, you will own machine learning projects and work on implementing from experimentation to deployment. At Onclusive, Machine Engineers are critical for the company’s success, they are at the forefront of the decision making process regarding how machine learning solutions are integrated in our production systems.

Your responsibilities:

• 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.

• Design and build scalable machine learning services.

• Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes.

• Collaborate with data platform, product and MLOPs engineers to implement ML/AI based solutions.

• Deploy, manage, and optimize inference services on autoscaling fleets with GPUs and specialized inference hardware.

Who you are:

• BS, MS, or Ph.D. in Computer Science or related field and/or equivalent experience in the space.

• 5+ years of machine learning research experience.

• 3+ years of NLP experience focusing on neural network approaches (BERT, BART, RoBERTa, etc.)

• 3+ years of cloud computing experience (preferably AWS).

• Comfortable with modern tools for building ML pipelines, including data processing, training, inference, and evaluation.

• Solid knowledge of Git, Docker.

• Good Knowledge of Kubernetes

• Proficiency with frameworks and models such as Pytorch, Torchserve, TensorFlow, TF Serving, Kubeflow, MLflow.

• Experience contributing and maintaining python monorepos.

• Good knowledge of Object oriented Programming

What we offer:

We are a global fast growing company which offers a variety of opportunities for you to develop your skill set and career. In exchange for your contribution, we can offer you:

• Competitive salary and benefits.

• Hybrid working in a team that is passionate about the work we deliver and supporting the development of those that we work with.

• A company that focuses on wellbeing and work life balance including initiatives such as flexible working and mental health support.

We want the best talent available, regardless of race, religion, gender, gender reassignment, sexual orientation, marital status, pregnancy, disability or age.