Senior AI/ML Engineer | ML & MLOps Leader

Cogniify, Inc.; Santa Clara, Northern (CA, KY); Hybrid; USD 150,000 - 170,000; Full time

Benefits offered by this job

Unlimited PTO

Parental leave (generous)

Medical insurance

ESPP

Team building

Mentorship

Job summary

Cogniify, Inc. seeks a Senior AI/ML Engineer to lead the design and delivery of production-grade ML systems and drive the maturity of ML engineering and MLOps capabilities.

You will own critical ML workstreams end to end and mentor engineers while collaborating with cross-functional teams to ensure scalable, reliable solutions aligned with business goals. The role covers NLP, CV, recommendation, and forecasting, including end-to-end lifecycle management, orchestration, and governance.

Qualifications

• 8-10 years of professional ML engineering experience with production delivery.
• Deep expertise in Python and ML frameworks (TensorFlow, PyTorch, JAX).
• Experience designing and operating production ML pipelines at scale.
• Strong knowledge of MLOps and tools (MLflow, Kubeflow, Airflow, Argo).
• Experience with cloud-native ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI).
• Experience with model serving at scale (TensorFlow Serving, Triton, BentoML, Seldon).
• Strong understanding of distributed computing, data engineering, and observability.

Responsibilities

• Lead design, development, and production deployment of ML systems across NLP, CV, recommender, and forecasting domains.
• Own end-to-end ML lifecycle from problem framing to deployment and monitoring.
• Architect scalable, fault-tolerant ML pipelines with modern orchestration and serving frameworks.
• Drive MLOps adoption including CI/CD, automated retraining, model registry and governance.
• Define engineering standards for model development, testing, and documentation.
• Mentor mid-level and junior engineers; conduct design and code reviews.

Skills

Python

TensorFlow

PyTorch

JAX

MLflow

Kubeflow

Airflow

Argo Workflows

AWS SageMaker

Azure ML

GCP Vertex AI

TensorFlow Serving

Triton

Seldon

Education

Bachelor's degree in CS/math/statistics

Master's degree in related field

PhD (plus)

Tools

MLflow

Kubeflow

Airflow

Argo Workflows

SageMaker

Vertex AI

GCP Vertex AI

Job description

Cogniify, Inc. seeks a Senior AI/ML Engineer to lead the design and delivery of production-grade ML systems and drive the maturity of ML engineering and MLOps capabilities.

You will own critical ML workstreams end to end and mentor engineers while collaborating with cross-functional teams to ensure scalable, reliable solutions aligned with business goals. The role covers NLP, CV, recommendation, and forecasting, including end-to-end lifecycle management, orchestration, and governance.