PRODUCT AND AI PLATFORM ENGINEERING LEADER (DIRECTOR)
Company: Critical River, Inc.
Location: Pleasanton
Posted on: October 15, 2024
Job Description:
Position Title: Product and AI Platform Engineering Leader
(Director)Location: Pleasanton CA (Hybrid)Employment Type:
Full-timeOverview:We are seeking a highly experienced Product and
AI Platform Engineering Leader with deep expertise in MLOps,
DataOps, and AI product development. This role will be pivotal in
leading the engineering teams to develop scalable, AI-driven
products and the infrastructure to support them. The ideal
candidate will combine strong leadership, technical expertise in AI
platforms, and hands-on experience in deploying MLOps and DataOps
best practices to ensure the seamless integration of AI solutions
into the business.Key Responsibilities:
- Leadership & Strategy:
- Lead and manage cross-functional engineering teams to develop
AI-powered products and the underlying AI platform
infrastructure.
- Define and drive the technical strategy for MLOps and DataOps,
ensuring efficient development, deployment, and scaling of AI
models and data pipelines.
- Align platform capabilities with product requirements, business
objectives, and future growth needs.
- MLOps & DataOps Excellence:
- Establish and scale MLOps practices to streamline the AI model
lifecycle, from data collection and model development to
deployment, monitoring, and continuous integration/continuous
delivery (CI/CD).
- Lead the design and implementation of robust DataOps pipelines,
ensuring smooth data ingestion, processing, and integration for AI
models.
- Implement automation for model training, validation,
deployment, and monitoring to improve scalability and operational
efficiency.
- Ensure that MLOps workflows support version control, model
governance, reproducibility, and auditability.
- AI Platform Development:
- Oversee the development and optimization of a scalable AI
platform that supports real-time data processing, model training,
deployment, and monitoring across products.
- Architect and build highly available, distributed systems that
handle large-scale data processing and AI model execution.
- Drive innovation in platform capabilities, ensuring it can
support various AI products and services while optimizing for
performance, security, and reliability.
- Product Engineering:
- Collaborate with product managers, UX/UI designers, and
business stakeholders to define and prioritize product requirements
and technical roadmaps.
- Lead the end-to-end development of AI-driven products, ensuring
timely delivery, high quality, and scalability.
- Manage the integration of AI models into the product ecosystem,
ensuring seamless collaboration between platform, engineering, and
data science teams.
- Cross-Functional Collaboration:
- Work closely with data scientists, machine learning engineers,
and DevOps teams to ensure smooth integration of AI models into the
production environment.
- Collaborate with business stakeholders and executive leadership
to ensure AI solutions meet business needs and deliver tangible
value.
- Foster a collaborative and innovative culture across the teams,
encouraging knowledge sharing and continuous learning.
- Technology & Innovation:
- Stay ahead of the latest trends in AI, MLOps, DataOps, and
cloud computing to ensure the platform remains at the cutting edge
of innovation.
- Evaluate new tools, frameworks, and methodologies to
continuously improve the AI product development and deployment
processes.
- Lead efforts to optimize platform performance, data pipeline
efficiency, and the scalability of AI models.
- Operational Efficiency:
- Establish metrics for measuring the success and performance of
AI products and platforms, ensuring continuous monitoring,
optimization, and improvement.
- Address technical challenges, bottlenecks, and risks in the
platform and product development process.
- Ensure compliance with data privacy regulations, security
standards, and ethical AI guidelines in all AI deployments.Required
Qualifications:
- Experience:
- 10+ years in software engineering, with 5+ years in AI platform
and product development roles.
- Proven experience leading MLOps and DataOps initiatives at
scale, including the automation of AI model lifecycle
management.
- Technical Expertise:
- Strong experience in AI/ML frameworks (e.g., TensorFlow,
PyTorch), cloud platforms (AWS, Azure, Google Cloud), and MLOps
tools (Kubeflow, MLflow).
- Deep understanding of for AI models, automation of model
training, validation, and deployment.
- Proficiency in DataOps, including experience with large-scale
data processing technologies (Spark, Kafka, Hadoop) and data
pipeline orchestration tools (Apache Airflow, Prefect).
- Strong knowledge of programming languages such as Python, Java,
or Scala.
- Leadership:
- Proven ability to lead and mentor high-performing engineering
teams, with a focus on collaboration and innovation.
- Ability to align platform development with business strategy
and manage cross-functional teams in a fast-paced environment.
- Communication:
- Strong ability to translate complex technical concepts into
clear communication for stakeholders at all levels, from engineers
to executives.
- Education:
- Bachelor s or Master s degree in Computer Science, Engineering,
or related field.
- Advanced degree or certifications in AI, MLOps, or DataOps
preferred.Preferred Qualifications:
- Experience in AI product deployment within industries such as
finance, healthcare, or manufacturing.
- Familiarity with AI governance, model explainability, and
ethical AI principles.
- Experience with containerization and orchestration technologies
(e.g., Kubernetes, Docker) for AI model deployment.
Keywords: Critical River, Inc., Merced , PRODUCT AND AI PLATFORM ENGINEERING LEADER (DIRECTOR), Executive , Pleasanton, California
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