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 modelproject. This role is mission-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 combine deep AI/MLmastery, hands-on engineering skills, and sharp business acumen todeliver 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. #J-18808-Ljbffr Kanini Software Solutions