Senior AI Engineer/Data Scientist

Kanini Software Solutions; Nashville, Northern (TN, KY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Kanini Software Solutions, Inc. seeks a pioneering, fully autonomous Senior AI Engineer/Data Scientist to own the complete data science lifecycle for our flagship prediction model project.

This role is mission-critical—the candidate will be the single point of expertise responsible for sourcing, analyzing, and engineering all data that powers our predictive models. Operating independently with minimal supervision, this individual must combine deep AI/ML mastery, hands-on engineering skills, and

Qualifications

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

Responsibilities

• Lead end-to-end analysis of large, multi-source datasets to surface patterns driving model inputs.
• Identify, collect, clean, validate, and transform data for prediction model consumption.
• Design and maintain scalable, production-grade data pipelines (training, validation, inference).
• Perform deep EDA, data profiling, and quality audits to ensure model-ready data standards.
• Architect, train, evaluate, and iterate ML models—supervised, unsupervised, reinforcement learning.
• Own feature engineering: selection, extraction, transformation, and dimensionality reduction.
• Apply deep learning, NLP, time-series forecasting, ensemble methods.
• Benchmark, A/B test, and monitor models in production; drive continuous improvement.
• Deploy models via REST APIs; ensure reproducibility and scalability.
• Communicate model results and data insights to technical and non-technical stakeholders.
• Document experiments, methodologies, and outcomes; audit-ready and reproducible.

Skills

Data science

End-to-end projects

Mentoring

Business impact

Fast-paced environment

Education

Bachelor's/Master's/PhD in CS/Statistics/Math

Tools

Python

SQL

Git/GitHub

CI/CD for ML

MLflow

Kubeflow

Docker

Kubernetes

Job description

We are hiringapioneering, fully autonomous Senior AI Engineer/Data Scientisttoown the complete data science lifecycle for our flagship prediction modelproject. This role ismission-critical— the candidate will bethe single point of expertise responsible for sourcing, analyzing, andengineering all data that powers our predictive models. Operating independentlywith minimal supervision, this individual must combinedeep AI/MLmastery, hands-on engineering skills, and sharp business acumentodeliver measurable, production-grade outcomes.

KeyResponsibilities:

DataAnalysis & Pipeline Ownership

• Lead end-to-end analysis of large, complex, multi-source datasets to surfacepatterns driving model inputs
• Identify, collect, clean, validate, and transform all data required forprediction model consumption
• Design and maintain scalable, production-grade data pipelines (training,validation, inference)
• Perform deep EDA, data profiling, and quality audits to ensure model-ready datastandards

PredictiveModeling & AI/ML

• Architect, train, evaluate, and iterate ML models — supervised, unsupervised,and reinforcement learning
• Own feature engineering: selection, extraction, transformation, anddimensionality reduction
• Apply advanced techniques: deep learning, NLP, time-series forecasting,ensemble methods
• Benchmark, A/B test, and monitor models in production; drive continuousperformance improvement
• Deploy models via REST APIs (FastAPI/Flask); ensure reproducibility andscalability
• Self-direct from problem definition through solution delivery with zerohand-holding
• Communicate model results and data insights clearly to technical andnon-technical stakeholders
• Document all experiments, methodologies, and outcomes — audit-ready andreproducible
• Champion best practices across the data science lifecycle; mentor junior teammembers

QUALIFICATIONS

• B.S./M.S./Ph.D.in Computer Science, Statistics, Mathematics, or equivalent quantitative field(Master's/Ph.D. strongly preferred)
• 5+years of hands-on data science experience with at least 2 years deliveringproduction-grade ML models
• Provenability to own and deliver end-to-end data science projects independently
• Portfoliodemonstrating innovation in predictive modeling and measurable businessimpact
• Kagglerankings, research publications, or open-source ML contributions are a strongplus
• Experiencein a fast-paced, data-driven, decision-model environment

REQUIREDSKILLS & QUALIFICATIONS

Core DataScience & Mathematics

• Statistics(Bayesian inference, hypothesis testing, regression, distributions)
• Linearalgebra, calculus, and probability applied to ML model design
• Supervised& unsupervised learning, anomaly detection, clustering

Programming& Development

• Python(Expert): NumPy, Pandas, Scikit-learn,Statsmodels,Matplotlib,Plotly
• SQL(Advanced): window functions, CTEs, query optimization
• Git/ GitHub; CI/CD for ML;MLOpswithMLflowor Kubeflow
• Docker& Kubernetes for model containerization and serving

AI / MLFrameworks (Must-Have)

• TensorFlowand/orPyTorch— deep learning architectures
• HuggingFace Transformers — NLP, LLMs, and fine-tuning
• SHAP,LIME — model explainability and interpretability

Snowflake(Good to Have)

• SnowflakeData Cloud: querying, Snowpark for Python ML pipelines
• SnowflakeCortex AI / ML Functions for in-database ML
• dbtfordata transformation; data governance within Snowflake

Kanini Software Solutions, Inc. does not discriminate in employment matters on the basis of race, gender, religion, age, national origin, citizenship, veteran status, family status, disability status, or any other protected class. We support workplace diversity. If you have a disability, please let us know if there is anything we can do to improve the interview process for you; we’re happy to accommodate. Kanini Software Solutions, Inc., 25 Century Blvd., Ste. 602, Nashville, TN 37214.

Automation, Cloud, AI-driven Insights – more than “Dreams of the Future” these have become the “Demands of the Present”, to set the stage for a business to be truly digital.