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SK Life Science

AI Engineer, Business Operations

Published · Updated

$135,000–$160,000Paramus, NJ

Build and productionize AI-powered services for a decision-intelligence platform, turning research models into reliable batch and real-time inference systems.

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View posting at SK Life Science

At a glance

Posted base pay

$135K–$160KBelow the median

The work

Builds for teams inside the company

Balance

  1. Mostly building
  2. Mixed
  3. Mostly pre-sales or support

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept (not covered)
  3. Implementation
  4. Operations
Coding
Writes production code
Builds for
External customers
Level
Senior
Role
Individual contributor

What they ask for

Experience

  • 3+ yearssoftware engineering, including building or deploying AI systems in production environments

Background

  • Software engineering

Tools

  • Python
  • Airflow
  • Spark
  • Docker
  • Kubernetes
  • ONNX Runtime
  • AWS
  • Azure
  • Snowflake

Visa

  • No visa sponsorship

What you’ll do

  • Productionize AI/ML models as scalable APIs and batch or streaming inference services.
  • Integrate model pipelines with data engineering systems and end-to-end data flows.
  • Build inference pipelines and automated deployments across cloud and on-prem environments.
  • Monitor model and service reliability, drift, performance, and alerts.

What you’ll bring

  • Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field.
  • 3+ years of software engineering experience, including production AI systems.
  • Strong Python proficiency for services, pipelines, and ML tooling.
  • Production AI deployment experience in cloud or on-prem environments.

View posting at SK Life Science

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Pay and conditions

Posted pay
$135,000–$160,000
Pay details

The anticipated salary range for this position is $135,000 to $160,000. Actual compensation may vary based on factors including experience, qualifications, skills, and business needs.

Location
Paramus, NJ
Visa sponsorship
Not available
Experience requirements
  • 3+ years: software engineering, including building or deploying AI systems in production environments (required)

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