Lead Machine Learning Engineer
As a Lead Machine Learning Engineer, you will play a pivotal role in leading and driving the implementation of advanced analytics that delivers communications intelligence that will drive actionable insights and solutions as part of our FinTech and RegTech Product portfolio. You will be part of a cross-functional agile team of talented ML engineers collaborating closely with product managers, data scientists and other stakeholders to deliver high quality, secure and resilient SaaS products.
This is a hybrid position, 3 days/week in the office (M, W, T).
ResponsibilitiesCollaborate with cross-functional teams to design complex solutions and integrate multiple software products to solve high-level challenges.Act as a subject matter expert in machine learning, fintech, and Regtech domains, providing technical leadership, insights, and guidance to internal teams and external stakeholders.Weigh the pros and cons of various solutions and propose the best path.Work closely with Product Management and engineering teams to define and implement features in a fast-paced environment with careful attention to quality, scalability, and maintainability.Break down complex technical solutions into simple abstractions.Influence Principal Engineers/Product Managers on product designs.Investigate and solve complex bugs, performance, security and scalability issues.Participate in troubleshooting and fixing Production Issues following the incident management process.Recognize issue patterns and implement proactive measures to address the root causes.Manage task lifecycle using tools like JIRA.Participate in internal & external code reviews, provide and receive feedback for continuous improvement.Establish and sustain best practices.Mentor and coach team members.Actively participate in team agile ceremonies and provide valuable inputs.Other duties as assigned.QualificationsProficiency with JVM language (Java/Kotlin) and experience in Python.Experience in NLP, ML-Ops and data pipelines.Experience with ML frameworks/libraries such as TensorFlow, PyTorch, scikit-learn.Strong understanding of ML Algorithms, Statistical techniques, and data analysis methodologies.Experience with Data processing, feature engineering and model evaluation techniques.Experience in cloud platforms like Amazon Web Services & Google Cloud.Experience with Amazon Sagemaker and Jupyter Notebooks.Experience with Model Servers such as Triton Inference server.Experience working in AI/ML based Analytics products for Fintech/Regtech domain.Experience in microservices & event-driven architecture.Exposure and experience in building ML applications/services with cloud scalability.Experience in Kafka and RDBMS such as MySQL & Postgres.Proficient in containerized platforms like Docker, Helm & Kubernetes.Experience in CI/CD tools like Bamboo, ArgoCD.Experience in Prometheus & Grafana.Proficient in API design.Proficient in working with distributed systems.Additional QualificationsExpert programming skills in relevant languages.Strong analytical, design, problem solving skills and customer focus.Strong communication and collaboration skills.Good organizational skills.Deep understanding and experience in software architecture/software engineering.Strong understanding and experience in continuous software delivery.Strong understanding of ML business and technology domain.BenefitsMedical, dental, and vision insurance.Flexible spending account for eligible out-of-pocket expenses.Personal time off.401K Match.About VanderHouwen
VanderHouwen is an award-winning, Women-Owned, WBENC certified professional staffing firm. Founded in 1987, VanderHouwen has been successfully placing experienced professionals throughout the Pacific Northwest and nationwide. Our recruitment teams are highly specialized in either Technology and IT, Engineering, or Accounting and Finance career markets. Our recruiters value building meaningful, professional relationships with each candidate as well as developing honed knowledge of companies' staffing needs and workplaces.
VanderHouwen is an Equal Opportunity Employer and participates in E-Verify. VanderHouwen does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by applicable local, state or federal civil rights laws.
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