Senior AI / ML Engineer - Enterprise Data & GenAI Solutions - AIRLHV

Navitas Systems, LLC

Pittsburgh, United States of America

yesterday

Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Compensation

$ 170K

Job location

Remote

Pittsburgh, United States of America

Tech stack

Artificial Intelligence

Amazon Web Services (AWS)

Azure

Google BigQuery

Cloud Engineering

Information Engineering

Python

Machine Learning

TensorFlow

Enterprise Data Management

Google Cloud Platform

PyTorch

Large Language Models

Snowflake

Generative AI

Data Management

Machine Learning Operations

Azure

Data Pipelines

Databricks

Job description

We are hiring a Senior AI/ML Engineer to lead development of enterprise-grade AI and GenAI solutions. This role bridges data engineering, ML engineering, and cloud architecture to deliver scalable AI systems.

Requirements

Strong experience in ML engineering, MLOps, and AI system design
Expertise in Python, PyTorch, and related ML frameworks
Experience with cloud platforms (AWS, Azure, GCP)
Strong understanding of data pipelines and integration

Nice to Have / Coverage:

Experience with data platforms such as Databricks, Snowflake, Azure Synapse, BigQuery
Exposure to GenAI tools (LangChain, LLM orchestration frameworks)
Knowledge of Responsible AI, governance, and compliance
Experience in enterprise-scale AI deployments