AI Data Architect

About the Role

As an AI Data Architect

Key Responsibilities

AI/ML Data Architecture Design

• Design and implement end-to-end data architectures specifically optimized for AI/ML workflows including data ingestion feature engineering model training data sets and real-time inference data serving.

• Develop architectural blueprints and roadmaps for MLOps platforms ensuring seamless integration of data pipelines with model development deployment and monitoring.

• Evaluate and select appropriate data storage solutions (e.g. data lakes feature stores vector databases) and processing frameworks tailored for AI/ML workloads.

Data Preparation & Feature Engineering

• Define strategies and patterns for scalable data preparation and feature engineering working closely with data scientists to transform raw data into model-ready features.

• Design and implement data pipelines to automate the creation versioning and management of features for ML models.

Model Operationalization Data Support

• Architect data flows to support the deployment and operationalization of ML models including real-time data feeding for inference engines and batch scoring processes.

• Design robust monitoring and alerting mechanisms for data quality and drift affecting deployed models.

Data Governance & MLOps Integration

• Implement data governance policies and security measures (e.g. access controls data anonymization) specific to AI/ML data ensuring ethical AI practices and regulatory compliance.

• Collaborate with MLOps engineers to integrate data architecture with CI/CD pipelines for ML models ensuring reproducible and scalable ML workflows.

• Establish metadata management strategies for features models and datasets within the AI/ML ecosystem.

Technical Consultation & Innovation

• Provide expert guidance to data scientists ML engineers and business stakeholders on data architecture best practices for AI/ML projects.

• Research and evaluate emerging AI/ML data technologies and frameworks recommending innovative solutions to enhance our capabilities.

• Troubleshoot and optimize data pipelines and data access patterns for AI/ML performance and efficiency.

Qualifications

• Bachelors or Masters degree in Computer Science Data Science AI/ML or a related quantitative field.

• 7 years of experience in data architecture with at least 3 years focused on supporting AI/ML initiatives.

• Proven experience designing and implementing data architectures for machine learning pipelines including data lakes data warehousing and real-time data streaming.

• Deep understanding of the ML lifecycle (MLOps) and the data requirements at each stage (data collection feature engineering training inference monitoring).

• Strong proficiency with SQL and at least one programming language essential for AI/ML data processing (e.g. Python Scala).

• Extensive experience with cloud data platforms (preferably GCP) and their AI/ML-specific data services (e.g. Google Cloud AI Platform AWS Sagemaker Azure ML Databricks Snowflake).

• Familiarity with ML frameworks and libraries (e.g. ADK MCP VertexAI) from a data architecture perspective.

• Knowledge of feature stores vector databases and MLOps tools.

• Strong analytical and problem-solving skills with the ability to translate complex AI/ML requirements into technical data solutions.

• Excellent communication and collaboration skills able to bridge the gap between data science and data engineering teams.

Preferred Skills

• Experience with big data processing frameworks like Apache Spark Flink.

• Knowledge of containerization (Docker) and orchestration (Kubernetes) in an ML context.

• Experience with data governance tools specifically for AI/ML data.

• Familiarity with responsible AI principles and their implications for data architecture.

• Contributions to open-source projects related to AI/ML data infrastructure.

• Certifications in relevant cloud AI/ML or data engineering specialties.

• WHATS IN IT FOR YOU

  A family atmosphere people-centric culture where your emotional and physical well-being matters.

  A company of great colleagues with a global mindset where you feel welcomed from day one.

  A competitive salary medical insurance for family retirement benefits Healthy work life balance

  Internal career opportunities professional development including access to LinkedIn Learning and many in-house/external training courses

  Job security working for a global company with strong presence & commitment in India.

• PEOPLE ARE AT OUR HEART

  TVH is a global business with a family atmosphere where people are at the center. We value clarity mutual respect kindness and open communication. Our people are down-to-earth easy to work and engage with. We welcome differences and celebrate new ideas.

• ABOUT TVH

  TVH is a parts specialist for quality parts and accessories for material handling industrial vehicles and construction and agricultural equipment. Working at TVH is opting for a company that excels as an international market leader and is well-known for its unstoppable craving for innovation.