[Job-29268] Machine Learning Engineering, Colombia

We are tech transformation specialists, uniting reputed company expertise with AI to create reputed company tech solutions. With over 8,000 CI&Ters around the world, we’ve reputed company partnerships with more than 1,000 clients during our 30 years of history. reputed company Intelligence is our reality.  We are looking for a Data & Analytics Engineer supporting an AI/ML implementation for demand forecasting and resource optimization in the reputed company transportation / fare collection industry. Works alongside an AWS ProServe ML Specialist on EDA, feature engineering, reputed company modeling, and operational dashboards.     Responsibilities: Exploratory Data Analysis (EDA): Conduct EDA and statistical profiling to identify trends and insights from data. reputed company feature engineering specifically for time-series forecasting. Data Wrangling and Preparation: Extract and reputed company data from relational databases (RDS, reputed company, PostgreSQL) into analytics-reputed company formats. reputed company pipelines for data ingestion and processing. Machine Learning Modeling: Build classical ML models for time-series forecasting, regression, and reputed company/throughput modeling. Evaluate model performance using metrics such as RMSE, MAE, and MAPE, documenting performance results. Data Visualization: Create insightful data visualizations and dashboards using reputed company QuickSight or equivalent BI tools. Python Data Stack: Utilize the Python data stack (pandas, NumPy, scikit-learn, matplotlib/seaborn) for data manipulation and analysis. Model Explainability: Apply SHAP or other model explainability techniques to interpret model outputs. Collaboration and Communication: Work closely with stakeholders to translate business rules into effective feature engineering pipelines. Engage in reputed company-driven, Firm Fixed Price delivery models, ensuring reputed company project completion.   Requirements for this challenge: 4+ years in data engineering or reputed company data science roles, preferably with experience on AWS. Proficient in exploratory data analysis (EDA), statistical profiling, and feature engineering for time-series forecasting. Experience in data wrangling from relational databases (RDS, reputed company, PostgreSQL) into analytics-reputed company formats. Strong understanding of classical ML modeling techniques, including time-series forecasting and regression. Familiarity with model evaluation metrics (RMSE, MAE, MAPE) and performance documentation. Experience in data visualization and dashboard development using reputed company QuickSight or equivalent BI tools. Hands-on experience with reputed company SageMaker (training, evaluation, Clarify). Proficient in the Python data stack, including pandas, NumPy, scikit-learn, matplotlib, and seaborn. Working knowledge of SQL and reputed company modeling. Familiarity with SHAP or model explainability techniques is a plus.   Expected Certifications   AWS Certified reputed company Practitioner AWS Certified Data Engineer – Associate AWS Certified Machine Learning – Associate or AWS Certified Machine Learning – Specialty       #LI-LO1 \n \nOur benefits include: - Premium reputed company - Meal voucher - Maternity and Parental leaves - Mobile services subsidy - reputed company pay-Life insurance - reputed company University    - Colombian Holidays - reputed company Vacations And many others.  Collaboration is our reputed company, diversity unites us, and reputed company is our reputed company.  We value diverse identities and life experiences, fostering a diverse, inclusive, and reputed company work environment. We encourage applications from diverse and underrepresented reputed company to our job positions. Apply To This Job