Machine Learning Engineering Manager

Cypress Human Capital Management LLC
US - California - San Diego
July 16, 2024

Machine Learning Engineering Manager
This is an exciting opportunity to join a cutting-edge Digital Communications and Data Intelligence company. This role will be part of the product development team, building analytic services using models built by data science teams. With a focus on driving the development, deployment, and support of advanced analytics, the MLE Manager will be responsible for both people management as well as technical leadership. Working closely with cross-functional teams, it will be essential to collaborate with data scientists, product managers, and others to understand business objectives and deliver high-quality, secure, and resilient cloud-based analytic solutions.
Responsibilities:
Perform Both Technical Leadership as well as People Management
Collaborate with data scientists, software engineers, and other stakeholders
Leveraging in-house and third-party models, design dynamically scalable and efficient analytic services
Lead by example; actively contribute to design, development, and support of analytic services in production environments
Provide technical guidance and mentorship to team members
Foster a culture of learning and innovation
Proactively communicate updates and risks to key stakeholders and align with business objectives
Manage a team of Machine Learning Engineers; performance management, hiring, and mentoring
Manage multiple geographically dispersed teams
Establish transparent goals and expectations for the team, offering consistent feedback and assistance to aid members in meeting their targets
Recognize avenues for professional advancement and personal growth among team members, actively fostering their career progression within the company
Cultivate cross-team collaboration, facilitating the exchange of expertise in line with principles
Work alongside fellow engineering leaders to shape outcomes both within and beyond the team's scope
Assess the advantages and drawbacks of different solutions, recommending the most effective course of action
Identify recurring issues and proactively implement measures to tackle their underlying causes
Engage in both internal and external code reviews, offering feedback to foster ongoing enhancements
Advocate for, establish, and uphold best practices within the team
Take an active role in team agile ceremonies, contributing valuable insights and inputs
Requirements And Desired Experience:
Experience with Java Virtual Machine (JVM) language, (i.e Kotlin, Scala) as well as Python development experience
Experience in Natural Language Processing, Machine Learning Ops, and data pipelines
Experience with ML frameworks/libraries like PyTorch, scikit-learn, TensorFlow, etc.
Strong understanding of ML Algorithms, data analysis methodologies, and Statistical techniques
Possess a product mindset while being aware of and addressing both customer challenges and business objectives
Experience with Model Servers like TensorFlow Serving, TensorFlow Extended (TFX), NVIDIA Triton Inference server
Experience working in AI/ML-based analytics products
Experience with Data processing, feature engineering, and model evaluation techniques.
Experience with cloud platforms; Amazon Web Services and/or Google Cloud
Proficient in containerized platforms like Amazon ECS, Helm, Docker, and Kubernetes
Experience with Amazon Sagemaker and Jupyter Notebooks
Experience with Continuous Integration/Continuous Deployment (CI/CD) tools
Exposure to and experience building Machine Learning applications and services with cloud scalability
Experience with RDBMS (i.e. MySQL & Postgres) as well Kafka
Experience with microservices & event-driven architecture
Experience with monitoring and visualization tools, specifically Prometheus & Grafana
Proficient in API design and experience working with distributed systems
Compensation: $175k - $215k annual salary
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Read the full job description and apply online on the recuiter's web-site

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