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Machine Learning Engineer Specialist

2 months ago

Thousand Oaks, California, United States Zs Associates Full time
About ZS Associates

ZS Associates is a leading management consulting and technology firm that specializes in transforming global healthcare and beyond. Our company is built on the foundation of innovation, collaboration, and a passion for making a meaningful impact.

Job Summary

We are seeking a highly skilled Machine Learning Engineer Specialist to join our team. As a key member of our Scaled AI practice, you will be responsible for designing and implementing cutting-edge AI solutions that drive business value for our clients.

Key Responsibilities
  • Design and Implement AI Solutions: Collaborate with data scientists to create state-of-the-art AI models, design and implement technical features leveraging best practices for technology stack being used.
  • Collaborate with Client-Facing Teams: Work with client-facing teams to understand solution context and contribute to technical requirement gathering and analysis.
  • Validate Design and Implementation Approach: Work with technical architects on the team to validate design and implementation approach.
  • Write Production-Ready Code: Write production-ready code that is easily testable, understood by other developers, and accounts for edge cases and errors.
  • Ensure High-Quality Deliverables: Ensure the highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews.
  • Participate in Agile Ceremonies: Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues, and dependencies.
  • Contribute to Research and Evaluation: Consistently contribute in researching & evaluating the latest technologies through rapid learning, conducting proofs-of-concept and creating prototype solutions.
  • Support Project Architect: Support the project architect in designing modules/component of the overall project/product architecture.
  • Break Down Large Features: Break down large features into estimable tasks lead estimation and can defend them with clients.
  • Implement Complex Features: Implement complex features with limited guidance from the engineering lead. For example service or application-wide change.
  • Debug Code Issues: Systematically debug code issues/bugs using stack traces, logs, monitoring tools, and other resources.
  • Mentor and Groom Technical Talent: Mentor and groom technical talent within the team.
Requirements
  • At Least 5+ Years of Experience: At least 5+ relevant hands-on experience in deploying and productionizing ML models at scale.
  • Expertise in ML Engineering Platforms: Expertise in designing, configuring, and using ML Engineering platforms like Sagemaker, MLFlow, Kubeflow, or other platforms.
  • Big Data Experience: Big data - Hive, Spark, Hadoop, queuing system like Apache Kafka/Rabbit MQ/AWS Kinesis.
  • Adaptability and Innovation: Ability to quickly adapt to new technology and be innovative in creating solutions.
  • Strong Programming Skills: Strong in at least one of the Programming languages - PySpark, Python or Java, Scala, etc. and Programming basics - Data Structures.
  • Experience in Building Metadata-Driven Design Patterns: Hands-on experience in building metadata-driven, reusable design patterns for data pipeline, orchestration, ingestion patterns (batch, real-time).
  • Experience in Distributed Computing and Cloud Services: Experience in designing and implementation of solution on distributed computing and cloud services platform (but not limited to) - AWS, Azure, GCP.
  • CI/CD Pipeline Experience: Hands-on experience building CI/CD pipelines and awareness of practices for application monitoring.
Additional Skills
  • AWS/Azure Solutions Architect Certification: AWS/Azure Solutions Architect certification with an understanding of broader AWS/Azure stack.
  • DevOps CI/CD Experience: Understanding DevOps CI / CD, data security, experience in designing on cloud platform.
  • Willingness to Travel: Willingness to travel to other global offices as needed to work with the client or other internal project teams.
About Our Company Culture

ZS Associates is committed to creating a diverse and inclusive company culture where employees can thrive and grow. We believe in the importance of work-life balance and offer flexible work arrangements to support our employees' needs.

We are an equal opportunity employer and welcome applications from candidates with diverse backgrounds and experiences. If you are passionate about making a meaningful impact and are looking for a challenging and rewarding career opportunity, we encourage you to apply.