Job Description: The Opportunity WorkhumaniQis our AI-powered people analytics and cultural intelligence platform.
It transforms millions of real recognition moments into actionable insights that help us understand skills, retention, engagement, and inclusivity across the business.
With real-time dashboards and an embedded AI Assistant,iQgives leaders and teams instant visibility into cultural health, performance trends, and talent strengths without needing analysts or complex tools.
You'llbe joining theWHiQteam, a cross-functionalsquadof engineers bringing togetherexpertiseacross Machine Learning, Backend, Frontend, and QA.
The team owns and develops the user experience for the WorkhumaniQapplication as well as thepeople leader focused team analytics withcustomer-facing experiences.Theyare responsible fordesigning, building, deploying, andmaintaininghigh-quality features that bringWorkhuman'svision to life for our customers.
This includes close collaboration across engineering, product, and design to deliver intuitive, performant, and scalable solutions.As a Senior ML Engineer,you'llhelp shape technical direction, build scalable solutions, and mentor other engineers.
Tech stack: Machine Learning (Python libraries, SageMakerAI, Bedrock), Data Analytics, Real-Time Processing Python, RESTful APIs, AWS (ECS Fargate, Lambda, S3, RDS, Neptune, CloudFront, ALB), PostgreSQL, Amazon Redshift, Amazon Neptune, SQL, Kafka, Redis, Jenkins, Docker, Terraform,CodeBuild,CodeDeploy,CodePipeline,CodeArtifact, Git, Splunk, AWS IAM, Secrets Manager,WAF What we can offer you: The SeniorMLEngineer is a proven strong IC with your impact being felt across the squad and team, and you also contribute to cross-department initiatives.
You are viewed as a role model to other engineers and actively mentor less experienced engineers on the team by providing guidance and support when needed.
You'llengage with stakeholders and collaborate with key experts to shape the right technical solutions that deliver real customer value.
You'llget to lead technically while working alongside design and product to shape impactful solutions.
The skills you bring: Strong experience in production-gradeMachine Learning models, AgenticAIand their deployments on the cloud (at least 2+ years).
Senior-level understandingandproficiencyin software engineering concepts(SDLC), fromtranslating requirements to technicalassignments, to basic foundations like DNS, Databases (SQL