Data & Ai Architect

Tata Consultancy Services Limited
Allentown, NY, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$160,000.0 - $170,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Microsoft Azure Continuous Integration Data as a Services Data Architecture Python (Programming Language) Machine Learning Tensorflow Azure Machine Learning Azure Data Lake SQL Databases Feature Store
+19 more
Feature Engineering Azure Data Factory Pytorch Apache Spark Containerization Data Lakes Scikit Learn Kubernetes Real-time Inference Information Technology Machine Learning Operations Azure AI Api Design Azure Synapse Analytics Software Version Control Data Pipelines Serverless Computing Docker Databricks

Job description

Azure certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert) are a plus. Roles & Responsibilities 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.

Requirements

Strong expertise in Microsoft Azure AI & Data services: Azure Machine Learning, Azure Synapse, Azure Data Factory, Azure Data Lake, Azure Functions. 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., BACHELOR OF COMPUTER SCIENCE

Benefits & conditions

Salary Range: $160,000 - $170,000 a year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays.

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