Machine Learning Engineer III

Posted about 2 months agoViewed

💎 Seniority level: Senior, 1-3 years

📍 Location: USA

💸 Salary: 185000 USD per year

🔍 Industry: Generative AI and e-commerce

🗣️ Languages: English

⏳ Experience: 1-3 years

🪄 Skills: Node.jsPythonFlaskGCPKubernetesMachine LearningPyTorchAirflowFastAPIPandas

MS/Ph.D. in computer science, mathematics, or a quantitative discipline or equivalent work experience.
1-3 years of experience in machine learning.
Experience in developing machine learning products at scale.
Proficiency in solving ML problems using PyTorch.
Understanding of designing scalable ML systems and performance optimization.
Practical experience with large data systems, data models, and data pipelines.
Ability to learn quickly with tech stack including GCP, Kubernetes, Airflow, Pandas, PyTorch, Python, and Node.js.
Extensive experience in model deployment using frameworks like Flask or FastAPI.

Build and maintain a training pipeline for fine-tuning open-source LLMs.
Test different LLM architectures and configurations to prevent OOM errors at runtime.
Formulate product-related issues into ML problems and rapidly propose solutions.
Triage customer issues related to models and communicate architecture clearly to stakeholders.
Stay updated with advancements in generative AI and implement new developments.

Posted about 2 months ago

📍 Utica, NY, Rome, NY, Air Force Research Lab, Rome, NY

🧭 Full-Time

💸 110000 - 150000 USD per year

🔍 Cyber technology, machine learning, and artificial intelligence

Master’s degree and minimum 6 years of professional experience in machine learning.
Experience in Python and/or C++.
Experience with machine learning frameworks like TensorFlow, PyTorch.
Experience in evaluating, training, and deploying machine learning models.
Experience with Jupyter Notebooks.
Experience in cloud-based computing platforms like AWS.
Experience in server-side development (API definitions, REST services).
Experience in containerization technologies and deployment frameworks like Kubernetes or Docker.
Experience in application frameworks (Node, Spring, React, etc.).
Experience in either Linux or Microsoft Windows platforms.
Experience with Automated Testing (JUnit, Jest, Cypress).
Experience with Agile software development techniques.

Leads the design, development, and deployment of machine learning models and algorithms to solve complex business problems.
Leads integration of state-of-the-art machine learning libraries and frameworks into existing software applications.
Develops and maintains data pipelines for collecting, preprocessing, and transforming data for machine learning tasks.
Designs software solutions, algorithms, and cloud architectures needed to satisfy product features and functionality.
Leads, coaches, and mentors junior data scientists, engineers, and other staff.
Contributes to phases of the software development life cycle.
Participates in daily scrums and collaborates with cross-functional teams.

AWSDockerPythonSoftware DevelopmentAgileArtificial IntelligenceCypressDjangoJestJUNITKubernetesMachine LearningPyTorchSCRUMC++GoTensorflowLinux

Posted about 2 months ago

🔧 Requirements