Our solutions help customers orchestrate creation and delivery, so their teams can focus and optimize around their highest priorities.
The role:
We are looking for a highly capable machine learning engineer to help build and optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to extract useful data from diverse datasets, and enhancing the accuracy of our AI’s predictive powers.
To ensure success as a machine learning engineer, you should possess solid data science knowledge and experience in a related ML role.
What you’ll do:
● Design machine learning systems to automate predictive models using signals from the software development lifecycle process including calendars, source code control (SCM), integrated development environments (IDE) as well as user feedback.
● Transform business asks into ML solutions, while leading a team through execution of these solutions.
● Ensure that algorithms generate accurate user recommendations.
● Document machine learning processes.
● Keep abreast of developments in machine learning and lead the team through appropriate adoption.
● Work with the team to constantly evolve and uplevel the ML and Data practice at the company.
● Communicate effectively with technical and non-technical stakeholders to align on priorities and value.
● Provide technical leadership and mentorship to team members and the company’s Engineering community at large.
● Recommend strategies around maintaining ML and data assets to ensure durable operation and optimization over the duration of their useful lifespan.
● Ensure that all data and ML process are developed fairly and in accordance with appropriate legal requirements.
Who you are:
● Bachelor’s degree in computer science, data science, mathematics, or a related field. Masters or Ph.D. preferred.
● At least 8 years experience as a machine learning engineer.
● Advanced proficiency with code writing: Python, Java, etc.
● Familiar with cloud technologies: AWS, GCP, etc.
● Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture such as Sagemaker, HuggingFace, VertexAI, LLMs, etc.
● Knowledge of feature stores (Tecton, Feast, etc) is a nice to have.
● In-depth knowledge of mathematics, statistics, and algorithms.
● Superb analytical and problem-solving abilities.
● Great communication and collaboration skills.
● Excellent time management and organizational abilities.
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