Data Scientist/ML Engineer
Core
Build and deploy machine learning models and data-driven solutions for clients across various industries.
Role type
Data Scientist/ML Engineer
Builds
Production ML models, ML-Ops pipelines, and event-driven data architectures
Domain
Data Intelligence / Consulting
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, ML-Ops (MLflow, KubeFlow), cloud platforms (Azure Databricks, Microsoft Fabric, AWS SageMaker), data modeling, large dataset handling
Preferred skills
Deep learning techniques, event-driven architecture design
Technologies
Python, TensorFlow, PyTorch, MLflow, KubeFlow, Azure Databricks, Microsoft Fabric, AWS SageMaker, Kafka, Pub/Sub
Responsibilities
Set up and optimize ML-Ops pipelines for continuous integration, distribution, and monitoring; train, evaluate, and implement deep learning models; handle data preprocessing and transformation; build scalable ML solutions on modern data platforms; design event-driven ML architectures using message services
Seniority
Mid-level (2+ years experience)