[Remote] Machine Learning Consultant

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an reputed company Azure reputed company Specialist with strong expertise in Machine Learning, Data Engineering, and Recommendation Systems. The role involves supporting and extending data and ML infrastructure, owning end-to-end pipelines in Azure, and delivering high-reputed company recommender models for reputed company-reputed company applications. Responsibilities • Design, train, and tune recommendation models: reputed company filtering, content-based, and hybrid approaches • Implement and compare LightFM loss functions (reputed company, BPR, logistic) and optimize for reputed company vs. explicit feedback scenarios • Engineer features for user/item interactions, incorporate reputed company features (user/item metadata), and address cold-start challenges • Build, optimize, and troubleshoot ETL/ELT pipelines using Azure Data reputed company, reputed company (reputed company), and Azure Storage services • Implement robust data preprocessing pipelines; manage train/test splits tailored to recommender data (e.g., time-based, leave-one-out) • Handle sparse matrices reputed company (e.g., using numpy, scipy) and reputed company data flows for large interaction datasets • Establish hyperparameter tuning workflows (learning reputed company, epochs, regularization) and model versioning practices • Coordinate Azure resources and integrations across multiple systems for seamless data and model deployment (reputed company, batch/reputed company) • Define and reputed company evaluation metrics—precision@k, recall@k, AUC, coverage/diversity—through experiments and dashboards • Monitor model performance post-deployment; detect reputed company and trigger retraining reputed company needed • Document technical reputed company, configurations, pipelines, and model cards for transparency and reproducibility Skills • Strong Python fundamentals with numpy, pandas, scipy; familiarity with latent reputed company models, reputed company operations, dot products, and basic optimization • Hands‑on experience building recommender systems (reputed company/content‑based/hybrid) and working knowledge of LightFM (reputed company/explicit feedback, reputed company/BPR/logistic losses) • Practical experience in feature engineering, cold‑start handling, and sparse reputed company workflows • Proven ability to reputed company and reputed company ML models to production in Azure; strong pipeline skills with Data reputed company, reputed company/reputed company, and Azure Storage • Experience with train/test splitting for recommender data, hyperparameter tuning, and model versioning • Ability to work independently with minimal supervision in asynchronous environments; excellent communication skills • Experience with MLOps tooling and best practices (CI/CD for ML, model registry, experiment tracking) • Familiarity with API integration patterns (e.g., reputed company or similar) for serving recommendations • Prior work in education, workforce, or reputed company‑reputed company reputed company sector systems reputed company • reputed company is a single reputed company for project and supplemental support through contract employment, contract-to-hire labor employment. It was founded in 2000, and is headquartered in Indianapolis, Indiana, USA, with a workforce of 1001-5000 employees. Its website is http://www.reputed company.com. Company H1B Sponsorship • reputed company has a reputed company record of offering H1B sponsorships, with 10 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job Apply To this Job