Research Scientist

Job Overview: o We are seeking experienced Data Scientists to support large-scale analytics and machine learning initiatives for enterprise clients across multiple industries. o This role involves solving complex business problems using advanced analytics, statistical modeling, and machine learning techniques. Responsibilities: o Build and deploy machine learning and predictive analytics models. o Analyze large structured and unstructured datasets to generate actionable insights. o Apply statis

We are looking for Data Scientist Advanced Python or R for data analysis and modelingSQL proficiency across complex, multi-table schemasExperience with ML frameworks (scikit-learn, XGBoost, or similar)BI tools: Tableau, Looker, or Power BIHands-on experience with CRM systems (Salesforce, HubSpot)

Position: AI Engineer Type: Contract Compensation: $70 - $120/hour Location: Remote Commitment: 10-40 hrs/week Role ResponsibilitiesDesign, implement, and optimize large language model (LLM) solutions using PythonCollaborate with cross-functional experts to identify and solve real-world AI challengesDevelop scalable machine learning pipelines for training, fine-tuning, and inferenceEvaluate the performance of AI models, troubleshoot issues, and propose effective improvementsDocument processes a

Key ResponsibilitiesLead end-to-end data science projects from problem definition to production deployment.Design, develop, validate, and optimize machine learning and predictive models.Build scalable ETL/data pipelines using PySpark, Databricks, and Delta Lake.Perform statistical analysis, feature engineering, forecasting, and predictive analytics.Implement MLOps best practices using MLflow, CI/CD pipelines, and model monitoring tools.Optimize Spark workloads for scalability, performance, and c