| Urgent requirements of MLOps Solutions Developer in New Jersey, NJ (Onsite) at Remote, Remote, USA |
| Email: [email protected] |
| From: Danish Iqbal, siri Info Solutions Inc [email protected] Reply to: [email protected] Hello Dear, Hope Youre Doing Well!! My name is Danish Iqbal and I am a Staffing Specialist at SIRI INFO. I am reaching out to you on an exciting job opportunity with one of our clients. Job Title: MLOps Solutions Developer Job Location: New Jersey, NJ (Onsite) Job Duration: Contract Key Responsibilities: GPU Orchestration: Leverage GPU resources for model training and inferencing using frameworks like TensorFlow, PyTorch, and platforms such as Run.ai. Model Management: Utilize HuggingFace and MLflow to manage, track, and version machine learning models, ensuring consistency and reproducibility across environments. Kubernetes & Docker: Develop and deploy scalable, containerized ML services using Kubernetes and Docker, ensuring reliable deployment pipelines for LLMs and other ML models. API Development: Build FastAPI-based microservices and RESTful APIs for serving models and handling inference requests. Version Control: Maintain robust version control practices using Git, ensuring proper tracking of code, configurations, and model changes. Collaboration & Documentation: Collaborate with cross-functional teams to align ML system deployment with DevOps best practices and document workflows thoroughly for future maintenance. Key Qualifications: MLOps: Proven experience in MLOps practices, particularly in the training and inference stages of machine learning models. Hands-on experience with GPUs and frameworks like TensorFlow or PyTorch. Experience using the HuggingFace model repository and associated Python libraries. Proficiency in MLflow for model tracking and lifecycle management. DevOps: Solid experience in Kubernetes and Docker image development. Strong proficiency in FastAPI microservice development and RESTful API integration. Familiarity with Git-based version control systems. Programming: 5+ years of programming experience with Python (versions 3.9+), adhering to PEP-8 or higher coding standards. Familiarity with Pydantic for data validation, with knowledge of version 2.0 being a plus. Experience with Visual Studio (preferred) or Eclipse for software development. Keywords: artificial intelligence machine learning access management New Jersey Urgent requirements of MLOps Solutions Developer in New Jersey, NJ (Onsite) [email protected] |
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| Thu Sep 19 00:05:00 UTC 2024 |