Senior AI Engineer - End-to-End ML Leader

KANINI Software Solutions PTE Ltd.

Nashville (TN)

On-site

USD 140,000 - 190,000

Full time

5 days ago
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Job summary

Kanini Software Solutions, Inc. in Nashville seeks a pioneering Senior AI Engineer/Data Scientist to own the complete data science lifecycle for our flagship prediction model project. This mission-critical role puts one expert at the center of sourcing, analyzing, and engineering all data powering predictive models.

The candidate will operate independently with minimal supervision, combining deep AI/ML mastery with hands-on engineering and business acumen to deliver production-grade outcomes.

Qualifications

  • 5+ years hands-on data science with at least 2 years delivering production-grade ML models.
  • Ability to own end-to-end data science projects independently.
  • Portfolio demonstrating predictive modeling and measurable business impact.
  • Kaggle rankings, research publications, or open-source ML contributions are a strong plus.
  • Experience in fast-paced, data-driven decision environments.

Responsibilities

  • Lead end-to-end analysis of large, multi-source datasets to surface patterns for model inputs.
  • Identify, collect, clean, validate, and transform data for model consumption.
  • Design and maintain scalable data pipelines (training, validation, inference).
  • Develop and deploy ML models via REST APIs; monitor in production.

Skills

Python
SQL
Data science
TensorFlow
PyTorch
NLP
MLOps
Docker
Kubernetes
REST APIs

Education

PhD in CS/Statistics/Math
MS in CS or related
BSc equivalent with strong research

Tools

Kubeflow
MLflow
Snowflake
FastAPI
Flask

Job description

Kanini Software Solutions, Inc. in Nashville seeks a pioneering Senior AI Engineer/Data Scientist to own the complete data science lifecycle for our flagship prediction model project. This mission-critical role puts one expert at the center of sourcing, analyzing, and engineering all data powering predictive models.

The candidate will operate independently with minimal supervision, combining deep AI/ML mastery with hands-on engineering and business acumen to deliver production-grade outcomes.

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