Machine Learning Engineering Director
1 day ago
Job Summary:
We are seeking a highly skilled Machine Learning Engineering Director to lead our Cognition Analytics team. As a key member of our Cognition Product development group, you will oversee the technical development and deployment of advanced analytics solutions that drive actionable insights within a cloud-based SaaS environment.
Key Responsibilities:
- Collaborate with data scientists and engineers to design scalable and efficient analytic services leveraging both in-house and third-party models.
- Lead by example in the design, development, and support of production analytic services following established engineering methodologies.
- Provide technical mentorship to team members, fostering a culture of continuous learning and innovation.
- Communicate progress, risks, and updates proactively to stakeholders, aligning with business goals.
- Champion product quality and adopt best practices, standards, and processes for continuous improvement.
- Stay attuned to customer challenges and business needs to shape product development effectively.
Requirements:
- Proficiency with a JVM language (Java/Kotlin) and experience in Python.
- Experience with NLP, ML-Ops, and building data pipelines.
- Strong knowledge of ML frameworks like TensorFlow, PyTorch, and scikit-learn.
- Proficiency in cloud platforms (AWS, Google Cloud) and experience with Amazon Sagemaker.
- Experience with containerized platforms (Docker, Kubernetes) and CI/CD tools (Bamboo, ArgoCD).
- Familiarity with microservices, event-driven architecture, and distributed systems.
- Experience with data processing techniques, feature engineering, and model evaluation.
- Working knowledge of Kafka, RDBMS (MySQL, Postgres), and API design.
What We Offer:
- Comprehensive healthcare insurance, including medical, dental, and vision plans.
- Flexible time-off policy to maintain a healthy work-life balance.
- 401K with a 4% match, fully vested from day one.
- Sabbatical program available after six years of service.
- Recognition programs to celebrate achievements and contributions.
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