ML/AI Engineer — Generative AI in Production (Remote)

Adidev Technologies Inc; New York (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary range

Relocation assistance

Remote support

Job summary

Adidev Technologies Inc is seeking an skilled ML/AI Developer to deploy state-of-the-art machine learning models, with emphasis on Generative AI. You will craft AI-driven solutions and drive deployment across client projects, contributing to innovation and market leadership.

The role requires hands-on experience with Deep Learning, LLMs and cloud platforms, and a strong software/data engineering background.

Qualifications

• Experience architecting and developing AI/ML solutions on cloud platforms such as AWS, Azure, Google Cloud and OpenAI.
• Background in software or data engineering, with cloud experience on major platforms.
• Hands-on experience with Deep Learning, LLMs, Python, TensorFlow and PyTorch.

Responsibilities

• Architect and refine sophisticated ML models and algorithms, translating datasets into actionable solutions.
• Lead full lifecycle data modeling projects from requirements to deployment and monitoring.
• Perform data preprocessing, feature engineering, and application of Generative AI techniques.
• Integrate Generative AI models into offerings to enhance products and user experiences.
• Apply advanced analytics to identify trends, anomalies, and opportunities for improvement.
• Stay current with ML trends, tools, and best practices including MLOps and interpretability frameworks.

Skills

AWS

Databricks

Azure

Google Cloud

OpenAI

Deep Learning

LLM

Python

TensorFlow

PyTorch

Tools

Databricks

OpenAI

AWS

Azure

GCP

CI/CD

Job description

Adidev Technologies Inc is seeking an skilled ML/AI Developer to deploy state-of-the-art machine learning models, with emphasis on Generative AI. You will craft AI-driven solutions and drive deployment across client projects, contributing to innovation and market leadership.

The role requires hands-on experience with Deep Learning, LLMs and cloud platforms, and a strong software/data engineering background.