As a Principal Machine Learning Architect, you will be instrumental in shaping the data-centric innovation landscape for our client's organization. Drawing from your extensive experience in machine learning, data sciences, and backend engineering, you will lead a team in developing cutting-edge machine recognition, prediction, and information processing systems. Your expertise will drive the extraction of valuable insights at scale from diverse datasets sourced from multiple channels.

Key Responsibilities:

• Spearhead the development of a comprehensive platform facilitating all aspects of data-centric innovation, from organization to productionization and ongoing monitoring of machine learning pipelines.
• Design and implement infrastructure, select tools, and establish automated workflows to support a global data science team of over 40 members.
• Define and enforce cohesive processes and standards while driving the adoption of machine learning platforms across the organization.
• Collaborate closely with cross-functional teams to define project plans and ensure seamless integration and deployment of models and pipelines.
• Provide expert guidance and support on complex data science projects, optimizing machine learning and data transformation code for scalability and robustness.

Qualifications:

• Possess a minimum of 8 years of experience in working with machine learning models, including deployment into production environments.
• Hold a degree in Computer Science, Electrical Engineering, Data Science, or a related computational field.
• Demonstrated expertise in NLP, computer vision, or deep learning frameworks such as Tensorflow, PyTorch, or HuggingFace.
• Proficient with big data systems like Apache Spark, Databricks, Hadoop, and machine learning frameworks such as Scikit-learn, SparkML, MLFlow, KubeFlow, etc.
• Experience with batch orchestration frameworks (e.g., Airflow) or streaming services and systems.
• Familiarity with Cloud Platform Technologies in AWS, Google Cloud, or Azure.
• Possess a data-centric mindset with a penchant for diving into data with methodical grace.
• Strong communication skills, both oral and written, and ability to coordinate complex project execution with cross-functional teams.

Nice to Have:

• Experience with Scala, Kafka, Apache Beam, Flink, Redis, Docker, or Kubernetes.
• Familiarity with recommender systems, entity extraction, or entity resolution.

The compensation for this role ranges from $192,000.00 to $240,000.00 annually, alongside bonuses, equity, and comprehensive benefits. Exact compensation will be determined based on factors such as qualifications, skills, and experience.

Our client is an Equal Opportunity Employer committed to fostering an inclusive environment. We welcome applicants from diverse backgrounds and consider all qualified candidates without regard to sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law.