Machine Learning Architect

Job Summary :

We are seeking a seasoned Machine Learning Architect to lead the design, development, and deployment of scalable ML solutions. The ideal candidate will have deep expertise in machine learning, data engineering, and cloud architecture, with a passion for driving innovation through AI/ML technologies.

Key Responsibilities:

- Design end-to-end ML architectures for large-scale, production-grade applications

- Guide data scientists and ML engineers in building, testing, and deploying ML models

- Collaborate with stakeholders to define AI/ML use cases and translate them into architectural solutions

- Evaluate and select appropriate ML algorithms, frameworks, and platforms

- Ensure scalability, performance, and reliability of ML systems

- Oversee model versioning, governance, and MLOps pipelines

- Work closely with data engineering teams to ensure data quality and readiness for ML pipelines

- Stay current with latest ML research and trends, and bring innovative ideas into production

Required Skills & Qualifications :

- 12+ years of experience in software/data engineering, with 5+ years in machine learning roles

- Proven experience in designing ML systems using frameworks like TensorFlow, PyTorch, or Scikit-learn.

- Strong knowledge of cloud platforms (AWS, GCP, or Azure) and their ML services

- Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)

- Expertise in data pipelines, feature engineering, model training, and deployment

- Solid programming skills in Python

- Strong understanding of deep learning, NLP, computer vision, or time series modeling