Manager, Machine Learning Engineering

3 months ago

New York, United States Cypress HCM Full time
Job DescriptionJob DescriptionMachine Learning Engineering ManagerThis 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 working with distributed systems
Compensation: $175k - $215k annual salary

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