Generative AI ML Engineer | Remote & Relocation Support

Adidev Technologies Inc; Pittsburgh (Allegheny County); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Relocation assistance

Remote support

Regular salary reviews

Job summary

Adidev Technologies Inc. is seeking a Machine Learning Engineer to lead the deployment of advanced ML models, with emphasis on Generative AI. You will build and refine AI-driven solutions, turning ideas into scalable features for clients.

The role requires strong background in ML, DL, NLP, CV, and cloud platforms, plus hands-on experience with Python, TensorFlow or PyTorch, and DevOps practices. You will collaborate with multi-disciplinary teams to integrate AI into products and services.

Qualifications

• Degree in Computer Science, Engineering, Statistics or related field.
• Demonstrable experience in machine learning, deep learning, NLP, CV, and RL.
• Hands-on with Generative AI models and industry frameworks.
• Experience with SQL/NoSQL, data viz, and version control.
• Strong problem-solving, collaboration, and communication.

Responsibilities

• Architect and deploy sophisticated ML models and algorithms.
• Lead data modeling lifecycle from requirements to deployment and monitoring.
• Apply Generative AI to create novel solutions and features.
• Collaborate across teams to integrate AI into products.
• Stay current with ML trends, tools, and regulatory considerations.

Skills

Machine Learning

Deep Learning

NLP

Computer Vision

Reinforcement Learning

Generative AI

Python

Cloud Platforms

DevOps for AI

Education

Degree in Computer Science, Engineering, Statistics

Tools

TensorFlow

PyTorch

scikit-learn

SQL/NoSQL

Docker

Kubernetes

Job description

Adidev Technologies Inc. is seeking a Machine Learning Engineer to lead the deployment of advanced ML models, with emphasis on Generative AI. You will build and refine AI-driven solutions, turning ideas into scalable features for clients.

The role requires strong background in ML, DL, NLP, CV, and cloud platforms, plus hands-on experience with Python, TensorFlow or PyTorch, and DevOps practices. You will collaborate with multi-disciplinary teams to integrate AI into products and services.