Machine Learning Engineer

Avanciers Inc.; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Avanciers Inc. is seeking a highly skilled AI / ML Software Engineer for an exciting remote opportunity with one of our Fortune 500 clients. The role involves leading AI and machine learning development, setting technical direction, and mentoring junior engineers.

The ideal candidate will have over 10 years of engineering experience, particularly with AI/ML systems, and skills in collaboration and communication across teams.

Qualifications

• 10+ years of engineering experience, including 3-5+ years building and deploying AI/ML systems.
• Experience with cloud computing platforms like AWS, Azure, or GCP.
• Ability to implement optimizations and fine-tune models for performance in NLP applications.

Responsibilities

• Lead AI/ML development for Fortune 500 clients.
• Set technical direction and mentor junior engineers.
• Collaborate with cross-functional teams on AI projects.

Skills

Python

Machine learning frameworks

Collaboration skills

Statistical fundamentals

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

TensorFlow

PyTorch

AWS

Docker

Job description

Avanciers is seeking a highly skilled AI / ML Software Engineer for an exciting opportunity with one of our Fortune 500 clients, based in Remote, USA.

Role:

Lead AI / ML Software Engineer.

Required qualifications, capabilities, and skil

• lsBachelor's or Master's degree in Computer Science, Engineering, or a related fie
• ld10+ years of engineering experience, including 3-5+ years building, deploying, and operating applied AI/ML systems in production (model lifecycle, MLOps, monitoring, and governance
• ).Demonstrate hands‑on engineering leadership: setting technical direction, making architecture decisions, conducting design and code reviews, mentoring junior engineers, and guiding implementation quality across multiple workstrea
• msProficiency in programming languages like Python for model development, experimentation, and integration with OpenAI AP
• I.Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI AP
• I.Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimizatio
• n.Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAE
• s.Ability to identify and address AI/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP application
• s.Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary project
• s.A portfolio showcasing successful applications of generative models in NLP projects, including examples of utilizing OpenAI APIs for prompt engineerin