Data + AI Architect

Tata Consultancy Services; Brasil; Presencial; BRL 300 000 - 540 000; Tempo integral

Resumo da oferta

Tata Consultancy Services in Brazil seeks an Architect to design end-to-end AI/ML solutions using Azure services (Azure ML, Synapse, Data Lake) and Databricks. You will lead technical design sessions and guide teams on scalable, secure AI practices.

You will collaborate with data scientists, engineers, and business stakeholders to translate problems into AI solutions, design MLOps pipelines, and optimize data pipelines with Spark/Delta Lake.

Qualificações

• Hands-on experience with Databricks, Spark, Delta Lake, MLflow.
• Proficiency in Python, SQL and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with MLOps: CI/CD, model versioning, monitoring, retraining.
• Deep understanding of data architecture, feature stores, real-time inference.
• Familiarity with Docker, Kubernetes and API development for model serving.
• Excellent communication and stakeholder management skills.
• Azure certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert) are a plus.

Responsabilidades

• Architect end-to-end AI/ML solutions using Azure services and Databricks.
• Lead design sessions and guide teams on scalable, secure AI practices.
• Collaborate with data scientists, engineers, and stakeholders to translate problems into AI solutions.
• Design and implement MLOps pipelines for training, deployment, monitoring, and governance.
• Optimize data pipelines and feature workflows using Spark and Delta Lake on Databricks.
• Ensure compliance with data privacy, security, and governance standards.
• Evaluate and integrate emerging AI technologies; provide technical leadership and mentorship.

Conhecimentos

Databricks & Spark

Python & SQL

ML frameworks

MLOps & CI/CD

Data architecture & feature stores

Docker & Kubernetes

API development for model serving

Communication & stakeholder mgmt

Azure certifications

Formação académica

Bachelor's degree in CS or related field

Ferramentas

MLflow

Azure Databricks

Delta Lake

Spark

Notebook environments

Job orchestration

Descrição da oferta de emprego

Architect end-to-end AI/ML solutions using Azure services (Azure ML, Synapse, Data Lake, etc.) and Databricks.

Lead technical design sessions and guide teams on best practices for scalable and secure AI solutions.

Collaborate with data scientists, engineers, and business stakeholders to translate business problems into AI solutions.

Design and implement MLOps pipelines for model training, deployment, monitoring, and governance.

Optimize data pipelines and feature engineering workflows using Spark and Delta Lake on Databricks.

Ensure compliance with data privacy, security, and governance standards.

Evaluate and integrate emerging AI technologies and frameworks.

Provide technical leadership and mentorship to junior architects and engineers.

Required Skills & Qualifications:

• Hands-on experience with Databricks: Spark, Delta Lake, MLflow, notebooks, and job orchestration.
• Proficiency in Python, SQL, and ML frameworks like TensorFlow, PyTorch, Scikit-learn.
• Experience with MLOps tools and practices: CI/CD, model versioning, monitoring, and retraining.
• Deep understanding of data architecture, feature stores, and real-time inference.
• Familiarity with containerization (Docker, Kubernetes) and API development for model serving.
• Excellent communication and stakeholder management skills.
• Azure certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert) are a plus.

Preferred Qualifications:

• Experience with generative AI, LLMs, and vector databases (e.g., Azure Cognitive Search, FAISS).
• Knowledge of data governance frameworks (e.g., Purview, Unity Catalog).
• Experience in industries like utilities, finance, or healthcare is advantageous.