Vector Database Jobs

1 job found

2mo ago

Data Analytics Engineer (AI/ML Focus)

Tata Consultancy Services Sunnyvale, CA

Sunnyvale, CA

2mo ago Closed

$70k - $125k/yr Full time Analytics APIs Architect

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Tata Consultancy Services is seeking a Data Analytics Engineer with an AI/ML focus to join onsite in Sunnyvale, CA. The role centers on building scalable data pipelines, preparing AI-ready data, deploying ML models with MLOps, developing analytics dashboards, and enforcing data governance within cloud environments.

Responsibilities

Data Pipeline & Infrastructure Development: Build, maintain, and scale ETL or ELT pipelines using Apache Spark, Airflow, and Kafka to support AI and ML workloads.
AI Ready Data Preparation: Convert unstructured data such as text, images, and video into structured datasets suitable for model training, including feature engineering and vector database ingestion.
ML Model Productionization: Collaborate with data scientists to deploy models, create APIs for models, and implement MLOps practices with monitoring for data drift.
Analytics and Visualization: Develop dashboards using Tableau, Power BI, or Looker and execute SQL queries to deliver actionable business insights as an analytics engineer.
Data Governance & Quality: Ensure data quality, reliability, and security for AI systems, with adherence to regulations like GDPR or HIPAA and management of PII/PHI.
Cloud and Data Management: Operate within cloud environments such as AWS, Azure, and Google Cloud, leveraging services like S3, Redshift, Glue, and Databricks.

Requirements

Programming Languages: Expert Python and advanced SQL are mandatory; Java or Scala are preferred for large scale distributed systems.
ML Frameworks: Familiarity with PyTorch, TensorFlow, or Scikit-Learn for data manipulation and model interaction.
Data Engineering Tools: Experience with Apache Spark, Kafka, Airflow, dbt, and vector databases such as Pinecone or Milvus.
Cloud Platforms: Hands-on experience with AWS (Glue, SageMaker) or Google Cloud Platform.
Analytical Skills: Strong ability to perform exploratory data analysis and interpret complex datasets.
Soft Skills: Effective communication to bridge technical data engineering with business stakeholders.

Technologies

Apache Spark
Airflow
Kafka
Tableau
Power BI
Looker
Python
SQL
Java
Scala
PyTorch
TensorFlow
Scikit-learn
dbt
Pinecone
Milvus
AWS
SageMaker
S3
Redshift
Glue
Databricks
Google Cloud

Location

Sunnyvale, CA

Job Function

Technology

Role

Engineer

Job ID

406121

Desired Skills

Artificial Intelligence
Data Analytics
Kafka
Machine Learning
Python
SQL
Apache Spark

Salary Range

$70,000 to $125,000 per year

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