We are a technology-driven organization focused on building innovative AI, machine learning, and cloud-based data solutions. Our teams work on scalable data platforms, intelligent applications, and modern analytics systems that help businesses make faster, data-driven decisions.

We are looking for talented engineers who enjoy solving complex data challenges and working with emerging AI technologies in a collaborative, growth-oriented environment.

Job Summary

We are seeking an AI Data Engineer to build reliable, scalable, and production-ready data infrastructure for AI and machine learning applications.

The ideal candidate has strong experience with Python, SQL, machine learning workflows, data engineering, and cloud platforms. You will work closely with data scientists, ML engineers, software engineers, and business teams to develop high-quality data pipelines and platforms.

Key Responsibilities

Design and develop scalable data pipelines for AI and machine learning applications.
Build and maintain ETL/ELT pipelines for structured and unstructured data.
Develop efficient data-processing solutions using Python and SQL.
Clean, transform, validate, and prepare datasets for machine learning models.
Collaborate with Data Scientists and ML Engineers on feature engineering and model-data requirements.
Build cloud-based data solutions using AWS, Azure, or Google Cloud.
Optimize databases, data warehouses, and data-processing workflows.
Monitor pipeline performance, reliability, availability, and data quality.
Implement data validation, governance, security, and access controls.
Troubleshoot data pipeline failures and resolve production issues.
Support AI/ML applications by delivering accurate, timely, and production-ready datasets.
Contribute to automation, CI/CD, testing, and deployment of data engineering solutions.

Required Skills & Qualifications

2–7 years of professional experience in Data Engineering, AI/ML Engineering, or a related field.
Strong programming experience with Python.
Advanced knowledge of SQL and relational databases.
Practical understanding of Machine Learning and AI data workflows.
Experience developing ETL/ELT data pipelines.
Experience with at least one major cloud platform: AWS, Azure, or Google Cloud.
Knowledge of data modeling, data warehousing, and database optimization.
Experience working with large-scale datasets.
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.

Preferred Skills

Apache Spark or PySpark
Databricks
Apache Airflow
Apache Kafka
Snowflake
BigQuery
Amazon Redshift
Docker and Kubernetes
CI/CD
MLOps
Feature Engineering
Generative AI / LLM data pipelines
Vector databases and unstructured data processing

SEO Skills & Keywords

Benefits

Competitive salary: $115K–$195K+, based on experience, skills, and location.
Medical, dental, and vision insurance.
401(k) retirement savings plan with company contribution, where applicable.
Paid vacation, holidays, and sick leave.
Professional development and technical training opportunities.
Opportunities to work on AI, ML, cloud, and large-scale data projects.
Collaborative engineering environment with experienced technology teams.
Career growth and advancement opportunities.
Flexible/hybrid work arrangements where available.
Employee wellness and work-life balance programs, subject to company policy.

Work Locations

San Francisco, CA
New York, NY
Seattle, WA
Dallas, TX

Why Join Us?

Join a team building modern AI and data platforms that solve real-world business problems. You will have the opportunity to work with modern cloud technologies, machine learning systems, large-scale datasets, and innovative AI applications while growing your engineering career.

How to Apply

If you have strong experience in Python, SQL, Machine Learning, Data Engineering, and Cloud Technologies, apply today to become part of our growing AI engineering team.

Skills: cloud,sql,ml,python

Apply now

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AI Data Engineer (US)

AVP VIGILANT TECHNOLOGY PVT LTD

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