Senior AI Engineer​/Data Scientist

We are hiringa
pioneering, fully autonomous Senior AI Engineer/Data Scientist
toown the complete data science lifecycle for our flagship prediction model project. This role is
mission-critical
— the candidate will bethe 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/MLmastery, hands-on engineering skills, and sharp business acumen
todeliver measurable, production-grade outcomes.

• Lead end-to-end analysis of large, complex, multi-source datasets to surface patterns driving model inputs
• Identify, collect, clean, validate, and transform all data required 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,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 continuous performance improvement
• Deploy models via REST APIs (FastAPI/Flask); ensure reproducibility and scalability
• 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 and reproducible
• Champion best practices across the data science lifecycle; mentor junior team members

• B.S./M.S./ 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 delivering production-grade ML models
• Proven ability to own and deliver end-to-end data science projects independently
• Portfolio demonstrating innovation in predictive modeling and measurable business impact
• Kagglerankings, research publications, or open-source ML contributions are a strong plus
• Experience in a fast-paced, data-driven, decision-model environment

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

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

• Tensor Flowand/orPyTorch— deep learning architectures
• Hugging Face Transformers — NLP, LLMs, and fine-tuning
• SHAP,LIME — model explainability and interpretability

• Snowflake Data Cloud: querying, Snowpark for Python ML pipelines
• Snowflake Cortex 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.