Senior Data Engineer I

2 weeks ago

Cape Town, Western Cape, South Africa RELX Full time

About the Role

At LexisNexis we develop the legal profession's most innovative products for data analysis, visualization, and research. We use the latest techniques in AI, machine learning, and data visualization to uncover insights about judges' rulings, build forecasts of likely outcomes, and reveal critical connections in massive datasets spanning the law, news, and finance.

Responsibilities

As a senior machine learning operations engineer on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments. You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets. You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators. You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company. You will also

Develop and implement a strategy for continuous improvement of our Machine Learning Ops including versioning, testing, automation, reproducibility, deployment, monitoring, and data privacy Develop and report on ML Ops metrics such as deployment frequency, lead time for changes, mean time to restore, and change failure rate Collaborate with data scientists, data engineers, API engineers, and the dev ops team Build scalable data ingestion and machine learning inference pipelines Scale up production systems to handle increased demand from new products, features, and users Provide visibility into the health of our data platform (comprehensive view of data flow, resources usage, data lineage, etc) and optimize cloud costs Automate and handle the life-cycle of the systems and platforms that process our data

Requirements

Masters degree in Software Engineering, Data Engineering, Computer Science or related field 5 years of relevant work experience Strong Scala and Python background Experience with Apache Spark and/or Ray Knowledge of AWS, GCP, Azure, or other cloud platform Knowledge of current principles and frameworks for ML Ops Experience with ML Ops technologies such as ML Flow, DVC, Grafana, DataHub, Databricks Experience with machine learning technologies such as PyTorch, TensorFlow, AWS Sagemaker Experience with CI/CD pipelines, including Jenkins or Git Actions Experience with Docker containerization or Kubernetes orchestration Experience in improving data security and privacy, and managing and reducing cloud costs Knowledge of API development and machine learning deployment

Work in a way that works for you

We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees

Working with Us

LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace.

Working for you

We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career.

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