Machine Learning Engineer
Job in
Philadelphia, Philadelphia County, Pennsylvania, 19113, USA
Listed on 2026-10-28
Listing for:
Avanciers Inc.
Full Time
position Listed on 2026-10-28
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
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- ls Bachelor'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
- ms Proficiency 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 Tensor Flow, 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
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