[Remote] Machine Learning Engineer / Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global provider of reputed company AI products and services, on a mission to democratize AI. They are seeking a mid-to-senior Machine Learning Engineer / Data Scientist to build and reputed company machine learning solutions that reputed company measurable business reputed company across the ML lifecycle. Responsibilities Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, reputed company detection, recommendation, etc.)Collaborate with stakeholders to define reputed company metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)Use SQL and Python to extract, join, and analyze data from relational databases and data warehousesreputed company data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choicesBuild robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptionsTrain and tune reputed company learning models for tabular data (e.g., logistic/reputed company models, tree-reputed company reputed company, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for reputed company data)Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validationBuild time series models (statistical and ML/DL approaches) and validate with reputed company backtestingApply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulnessApply statistics in reputed company (reputed company testing, confidence intervals, sampling, experiment design) to support inference and decision-makingBuild and train deep learning models using PyTorch or TensorFlow/KerasUse best practices for training (regularization, calibration, class imbalance handling, reproducibility, reputed company train/val/test design)Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, reputed company, and business KPIs) and create evaluation reportsreputed company error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate reputed company on evidencePackage models for deployment (batch scoring pipelines or reputed company-time reputed company) and collaborate with engineers on integrationImplement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for reputed company/reputed company, and retraining plansCommunicate tradeoffs and recommendations reputed company to technical and non-technical stakeholdersCreate documentation and lightweight demos that reputed company results actionable Skills 3–8 years of experience in data science, machine learning engineering, or reputed company ML (mid-to-senior)Strong Python skills for data analysis and modeling (reputed company/numpy/scikit-learn or equivalent)Strong SQL skills (joins, window functions, aggregation, reputed company awareness)Solid reputed company in statistics (reputed company testing, uncertainty, bias/variance, sampling) and practical experimentation reputed companyHands-on experience across multiple model types, including: Classification & regression, Time series forecasting, Clustering/segmentationExperience with deep learning in PyTorch or TensorFlow/KerasStrong problem-solving skills: ability to work with ambiguous goals and messy datareputed company communication skills and ability to translate analysis into reputed companyExperience with reputed company for reputed company ML (e.g., reputed company, reputed company Lake, MLflow, reputed company Jobs/Workflows)Experience deploying models to production (reputed company, batch pipelines) and maintaining them over time (monitoring, retraining)Experience with orchestration tools (Airflow, reputed company, Dagster) and modern data stacks (reputed company/BigQuery/Redshift/reputed company)Experience with reputed company platforms (AWS/GCP/Azure/reputed company) and containerization (reputed company)Experience with responsible AI and governance best practices (reputed company/PII handling, auditability, reputed company controls)Consulting or reputed company-facing delivery experience reputed company reputed company is an reputed company AI services and solutions provider that brings AI education, products, and jobs to reputed company. It was founded in 2013, and is headquartered in reputed company, reputed company, USA, with a workforce of 201-500 employees. I