Machine learning Engineer

CI/CD for ML, MLflow/Kubeflow/SageMaker/Azure ML Model versioning, monitoring, retraining workflows Docker, Kubernetes for deployment Programming & Cloud: Strong Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow) Experience on AWS/Azure/GCP ML services Roles & Responsibilities Looking for a strong hands-on ML Engineer with deep experience in data science, model development, and building scalable data/ML pipelines. Candidate must be technically solid, execution-focused, and able to deliver production-ready ML solutions. Core Technical Skills Needed ML Model Development: Supervised models: Logistic Regression, Random Forest, XGBoost/LightGBM, SVMs Deep learning: Neural Networks, CNN/RNN, Transformers (PyTorch or TensorFlow) Classification models and evaluation techniques (AUC, ROC, precision/recall, cross-validation) Data Preparation & Feature Engineering: Data cleaning, handling missing values & outliers Feature scaling, encoding, time-series feature generation Strong EDA and statistical analysis skills Data Pipeline Engineering: Build and maintain ML/data pipelines using Spark, Databricks, Airflow Data ingestion, transformation, validation (Great Expectations preferred) MLOps & Deployment: CI/CD for ML, MLflow/Kubeflow/SageMaker/Azure ML Model versioning, monitoring, retraining workflows Docker, Kubernetes for deployment Programming & Cloud: Strong Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow) Experience on AWS/Azure/GCP ML services

Do you have experience in Time series models?, Do you have a Bachelor's degree?, Qualifications : BACHELOR OF COMPUTER SCIENCE

Pulled from the full job description

• Pet insurance
• Health insurance
• Vision insurance
• Dental insurance
• Commuter assistance, Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. Salary Range: $105,000 - $125,000 a year