Machine Learning Engineer, Manager

Company DescriptionHi there! We’re Razorfish. We’ve been leading the marketing industry with our digital expertise since the start of the internet. But in 2020, we did a full reboot. What’s different? It all starts with people. Weird, wonderful, complex people - with diverse backgrounds in strategy, creative and technology. But no matter how different we are, we all have one thing in common. We believe our differences are our strength. So we push for inclusion, challenge convention and bring in new perspectives, to inspire new ideas. Because when we connect by understanding what makes people different, we can create unforgettable experiences that enrich lives. Join us at .Job DescriptionWe’re seeking a Machine Learning Engineer to help design, build, and maintain production-grade ML systems across cloud platforms. This role blends software engineering and ML expertise to translate prototypes into scalable solutions. You’ll own the full ML lifecycle from development and deployment to monitoring and optimization using tools like Databricks, Vertex AI, and other cloud-native platforms. Strong technical skills, collaboration, and a passion for delivering AI at scale are essential.ResponsibilitiesML System Development & DeploymentDesign, build, and maintain scalable ML pipelines using cloud services (e.g., Vertex AI, Databricks, SageMaker, Azure ML)Develop and integrate microservices, REST APIs, and webhooks for ML model servingImplement CI/CD pipelines for automated model training, testing, and deploymentCreate robust data processing workflows for model training and inferenceMLOps & InfrastructureBuild and maintain ML infrastructure using modern MLOps practices and tools (e.g., MLflow, Kubeflow, Vertex AI Pipelines)Implement model monitoring, versioning, and performance tracking systemsDesign automated retraining pipelines and manage model lifecycleEnsure reliability, scalability, and security of models in productionOptimize inference performance and cost efficiency across cloud platformsSoftware Engineering ExcellenceWrite clean, maintainable, and well-documented code following best practicesImplement comprehensive testing strategies including unit, integration, and model testingContribute to technical design reviews and architecture decisionsMaintain high code quality standards and participate in code reviewsCross-Functional CollaborationPartner with data scientists to productionize research models and prototypesCollaborate with data engineers to design efficient data pipelines and feature storesWork with product teams to integrate ML capabilities into customer-facing applicationsParticipate in agile development processes and cross-functional project planningProvide technical guidance and mentorship to junior team membersQualificationsEducation & ExperienceBachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, or related field3–4 years of professional experience in ML engineering, software engineering, or data science2+ years of hands-on experience deploying and maintaining ML models in productionExperience working in collaborative, cross-functional team environmentsTechnical SkillsProgramming Languages: Strong proficiency in Python and SQL (2+ years)ML Frameworks: Experience with XGBoost, TensorFlow, PyTorch, sklearn, or KerasCloud Platforms: Solid hands-on experience with GCP, AWS, or AzureML Platforms: Practical knowledge of Vertex AI, SageMaker, Azure ML, or DatabricksAnalytics & Feature Engineering: Proficient with BigQuery, Redshift, Azure SynapseDistributed Processing: Skilled in Databricks, Apache Spark, Dataflow, Pub/Sub, KafkaWorkflow Orchestration: Experience with Airflow, Cloud Composer, JenkinsNetworking & Security: Understanding of cloud networking, security, and cost optimizationMLOps & DevOps: Familiarity with CI/CD, ML lifecycle managementAPI Development: Experience with REST APIs and microservicesVersion Control: Proficiency with Git and collaborative development workflowsCore CompetenciesStrong understanding of ML algorithms, model evaluation, and validationExperience with data preprocessing, feature engineering, and performance tuningSolid software engineering fundamentals and coding best practicesAwareness of data privacy, security, and ethical AI principlesExcellent collaboration skills with technical and non-technical stakeholdersSelf-driven learner with curiosity about emerging ML technologiesPreferred QualificationsAdvanced Technical SkillsMLOps Tools: MLflow, Kubeflow, Vertex AI PipelinesContainerization: Docker; basic Kubernetes knowledgeSpecialized ML: Exposure to NLP, computer vision, or deep learningModern ML: Familiarity with LLMs, RAG patterns, transformer architecturesProfessional ExperienceAgile development and cross-functional collaborationCode review and technical documentation practicesInterest in mentorship and knowledge sharingExperience with model validation and software testing principlesAdditional InformationThe Power of One starts with our people! To do powerful things, we offer powerful resources. Our best-in-class wellness and benefits offerings include:Paid Family Care for parents and caregivers for 12 weeks or moreMonetary assistance and support for Adoption, Surrogacy and FertilityMonetary assistance and support for pet adoptionEmployee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balanceTuition AssistancePaid time off that includes Flexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and moreMatching Gifts programsFlexible working arrangements‘Work Your World’ Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility)Business Resource Groups that support multiple affinities and alliancesThe benefits offerings listed are available to eligible U.S. Based employees, are reviewed on an annual basis, and are governed by the terms of the applicable plan documents.Razorfish is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances.If you require accommodation or assistance with the application or onboarding process specifically, please contact your information will be kept confidential according to EEO pensation Range: $87,210 to $119,300. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/1/25. #J-18808-Ljbffr

Created: 2025-10-08