Job Description
What if you could use your technology skills to develop a product that impacts the way communities’ hospitals, homes, sports stadiums, and schools are built across the world? Construction impacts the lives of nearly everyone in the world, and yet it’s also one of the world’s least digitized industries, not to mention one of the most dangerous. That’s why we’re looking for a talented software engineer, ML Platform to join Procore’s journey to revolutionize a historically underserved industry.
As a Senior Machine Learning Engineer on our ML Platform team, you will help evolve our Machine Learning platform to support hundreds of models. In this role, you will implement the set of services needed to release AI and data science models capable of working with TB of data. This includes model-related features like one-time and ongoing automatic model training, deploying, and monitoring models, as well as platform-related features such as model repository, feature stores, and data access layer.
This position will report to the Manager , Software Engineering and will be based in Cairo. We’re looking for someone to join us immediately.
What you will do:
Checking deployment pipelines for ML models.
Review Code changes and pull requests from the data science team.
Triggers CI/CD pipelines after code approvals.
Monitors pipelines and ensures all tests pass and model artifacts are generated/stored correctly.
See AlsoProcore Technologies hiring Senior Engineer, Data Infrastructure in Austin, TX | LinkedInConstruction Drawings: Picturing Project Success | ProcoreConnect to and Visualize Live Procore Data in Tableau PrepProcore Technologies hiring Senior Software Engineer (Mobile) in Pune/Pimpri-Chinchwad Area | LinkedInDeploys updated models to prod after pipeline completion.
Works closely with the software engineering and DevOps team to ensure smooth integration.
Containerize models using Docker and deploy on cloud platforms (like AWS/GCP/Azure).
Set up monitoring tools to track various metrics like response time, error rates, and resource utilization.
Establish alerts and notifications to quickly detect anomalies or deviations from expected behavior.
Collaborate with the data science team to develop updated pipelines to cover any faults and Analyze monitoring data, logs, files, and system metrics.
Documenting and troubleshoots, changes, and optimization.
Work alongside our Product, UX, and Prototype Engineering teams, you’ll leverage your experience and expertise in the AI space to influence our product roadmap, developing innovative solutions that add additional capabilities to our product suite
What we are looking for:
Bachelor's Degree in Computer Science.
You have hands-on experience developing systems for the machine learning lifecycle: data preprocessing and feature extraction, model training and evaluation, and deployment and monitoring.
Familiarity with the associated open-source ecosystem (e.g., TensorFlow, PyTorch, mlflow, Ray, Kubeflow, tfx) is a plus.
You have hands-on experience developing large-scale distributed, fault-tolerant, and scalable data processing systems capable of processing terabytes of structured and unstructured data via batch with Spark or streaming with Flink or Kafka Streams.
You have worked with data scientists and can speak knowledgeably about the major machine learning paradigms, algorithms, and software tools, and can translate data science problem statements into corresponding data, infrastructure, or workflow needs.
Have a good grasp of CI/CD pipelines, IaC (Infrastructure-as-code) tools (like Terraform, CloudFormation),
Have experience in working with relational and non-relational databases, data warehousing, and data streaming frameworks (think Apache Kafka/Spark/SQL)
Familiar with concepts like firewalls, encryption, VPNs, and secure data transfer.
you have worked on Logging tools like Sumologic and Datadog
You are familiar with AWS cloud infrastructure services, and container systems such as Docker or Kubernetes.
You are familiar with Python ML and at least one high-concurrency language such as Java, Elixir, Python, or Golang
Additional Information
Perks & Benefits
At Procore, we invest in our employees and provide a full range of benefits and perks to help you grow and thrive. From generous paid time off and healthcare coverage to career enrichment and development programs, learn more details about what we offer and how we empower you to be your best.
About Us
Procore Technologies is building the software that builds the world. We provide cloud-based construction management software that helps clients more efficiently build skyscrapers, hospitals, retail centers, airports, housing complexes, and more. At Procore, we have worked hard to create and maintain a culture where you can own your work and are encouraged and given resources to try new ideas. Check us out on Glassdoor to see what others are saying about working at Procore.
We are an equal-opportunity employer and welcome builders of all backgrounds. We thrive in a diverse, dynamic, and inclusive environment. We do not tolerate discrimination against employees on the basis of age, color, disability, gender, gender identity or expression, marital status, national origin, political affiliation, race, religion, sexual orientation, veteran status, or any other classification protected by law.
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