ML Developer - Full Stack

What is the opportunity?

The AIOps team is building multiple, complex, AI driven services to transform IT Ops and increase the operational resilience of critical RBC business processes. This is a hybrid role on the AIOps team, with elements of ML engineering, data engineering and software development. Your role will be to design, develop and deploy solutions that deliver AIOps M/AI services for the enterprise at scale.

What will you do?

• Write production level code; package and deploy ML models in collaboration with data scientists and subject matter experts.

• Partner with AIOps engineers and data owners to identify, extract and transform structured and unstructured data to enable exploratory data analysis.

• Build robust and scaled real-time and batch data pipelines for model inferencing and training/re-training.

• Develop and deliver end-to-end user experiences integrate ML pipelines with enterprise ops systems including but not limited to notification and alerting systems, IT Service Management systems, event aggregators and workflow orchestrators.

• Continuously monitor model performance and measurably improve model performance over time

What do you need to succeed?

Must have:

• Extensive and hands on experience implementing real-time and batch ETL/ELT pipelines, highly parallel data processing and stream processing with python, spark, kafka

• Mighty python skills, extensive experience with ML python libraries such as PySpark NumPy, Pandas, Scikit, TensorFlow

• Experience with cloud AI/ML and big data platforms and services, preferably AzureML, Vertex, SageMaker, Snowflake, DataBricks, Tableau, Alteryx, SQL, REST APIs and microservices driven architectures

• Strong software development experience in an agile context, and extensive experience working with CI/CD software deployment pipelines

Nice-to-have:

• Experience with LLMs and supervised and unsupervised ML techniques, and regression and classification techniques decision tree, random forest, neural network etc.

• Experience developing ML/AI driven solutions in an ITOps, SRE, or infrastructure context with operational data such as infrastructure metrics and app logs

• Front end expertise with react and/or angular

Whats in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.

• Leaders who support your development through coaching and managing opportunities.

• Ability to make a difference and lasting impact.

• Work in a dynamic, collaborative, progressive, and high-performing team.

• Opportunities to do challenging work.

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