
Machine Learning
2 days ago
- Job Title: Machine Learning (ML) Architect
Summary:The Machine Learning Architect designs and oversees AI/ML architecture for scalable enterprise solutions. This role sets technical direction, drives ML operations (MLOps), ensures high model performance, security, compliance, and bridges data, engineering, and business objectives.
Key Responsibilities:
- Architect and maintain ML pipelines spanning data preparation, model training, deployment, monitoring, and retraining.
- Define standards/best practices for MLOps, feature management, model versioning, CI/CD, and model registry.
- Collaborate with DevOps, Security, Compliance and Data Governance teams on infrastructure and policies.
- Evaluate, select, and integrate appropriate frameworks and platforms (PyTorch, TensorFlow, AWS Sagemaker, Vertex AI, Kubeflow, etc.).
- Optimize computational resource utilization and cost for cloud/hybrid environments.
- Lead technical design reviews, root cause analyses, and system troubleshooting.
- Document architecture and mentor teams in scalable ML solution design.
Required Skills:
- Deep knowledge of ML algorithms, statistical modeling, data engineering, and distributed systems.
- Strong programming (Python, Scala, Java) and hands-on MLOps exposure.
- Cloud expertise (AWS, Azure, GCP), especially ML-native services.
- Proficiency in containerization/orchestration (Docker, Kubernetes).
- Familiarity with CI/CD pipelines, GitOps, and Infrastructure as Code.
- Excellent communication, system documentation, and leadership skills.
Preferred Qualifications:
- Experience with Explainable AI, responsible AI, and ML governance.
- Prior experience leading large-scale deployments of ML solutions.
Tools & Technologies:Python, PyTorch, TensorFlow, MLFlow, Airflow, AWS, GCP, AzureML, Docker, Kubernetes, Apache Spark.
Experience:8+ years in ML/Data Science/Software Engineering, 3+ years architecture leadership.
Education:Bachelor's/Master's in Computer Science, Data Science, or similar technical field.
Job Type: Full-time
Pay: ₹4,000, ₹6,000,000.00 per year
Work Location: In person
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