Data Scientist
Nitish SethiRemoteSENIORPosted 6d ago
MLOpsData SciencePythonDistributed ComputingKafkaSpark StreamingAWSAzureGCPDockerKubernetes
About the Role
We are looking for an experienced Data Scientist to join our team. This role focuses on managing the end-to-end ML lifecycle and productionizing machine learning models.
Key Responsibilities
• Manage end-to-end ML lifecycle management and CI/CD for ML
• Design and implement data architecture and real-time streaming technologies
• Lead technical decisions and align technical roadmaps with business goals
Requirements
• 12+ years of hands-on experience in Data Science and Data Engineering
• Expert-level Python programming and distributed computing architecture
• 4+ years of experience in MLOps and productionizing machine learning models
• Experience with cloud platforms: AWS, Azure, or GCP
• Knowledge of Docker, Kubernetes, and scalable model training and inference
• Understanding of ML model governance, security, system design, and scalability
• Strong technical leadership and cross-functional collaboration skills