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ML / AI Data Engineer (Contract)

52 minutes ago
India
Contract
Senior
Data Engineer
Data Science and Analytics
Apache Airflow Apache Spark AWS Azure Docker GCP Kafka Kubernetes Machine Learning NLP Python Scala
Apply Now
Tech Holding

Tech Holding

Tech Holding: California's #1 website design company offering full-service technology consulting with expertise in software management, AI, and security.

Internet Software & Services
51-250
Founded 2016
View All Jobs 15

Description

  • Design, deploy, and scale large-scale ML and data processing pipelines across cloud infrastructure.
  • Build systems to ingest, process, and serve 250,000+ hours of multimodal data including video, audio, and metadata.
  • Architect and optimize GPU-based compute environments for distributed training and inference.
  • Develop high-throughput backend systems for video ingestion from desktop and mobile platforms.
  • Implement distributed processing workflows with job scheduling, fault tolerance, and resource allocation.
  • Design and build human-in-the-loop and automated annotation systems to support data quality and scalability.
  • Translate ML and multimodal research into scalable, production-grade cloud architectures.
  • Optimize pipelines for performance, reliability, and cost efficiency across compute, storage, and networking layers.
  • Collaborate with ML, data, and engineering teams to deliver end-to-end data workflows.

Requirements

  • 5+ years of experience in data engineering, ML pipelines, or distributed systems.
  • Strong experience building scalable data pipelines for large datasets, preferably video and audio data.
  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
  • Experience working with GPU-based environments and distributed computing.
  • Strong programming skills in Python, Scala, or similar languages.
  • Experience with data processing frameworks such as Spark, Ray, Kafka, Airflow, or similar tools.
  • Understanding of ML workflows, training pipelines, and inference systems.
  • Experience designing fault-tolerant, high-availability systems.
  • Strong knowledge of data storage systems including data lakes, object storage, and distributed file systems.
  • Ability to handle high-throughput, large-scale data ingestion and processing.
  • Experience with multimodal AI systems involving video, audio, and NLP, preferred.
  • Familiarity with annotation tools and data labeling workflows, preferred.
  • Experience with containerization and orchestration tools such as Docker and Kubernetes, preferred.
  • Knowledge of cost optimization strategies for large-scale cloud workloads, preferred.

Benefits

  • Equal Opportunity Employer commitment with a diverse and inclusive workplace.
  • Accommodation provided during the application process for candidates who need it.

Interested in this position?

Apply directly on the company website

Apply Now

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