Ai/Ml Engineer

Ai/Ml Engineer - Detalhes da Vaga. ● REMOTE. ● Payrate: 80 - 100 / hr Requisition for Senior Machine Learning Engineer (Generative AI Focus) Position Overview: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. ● In the rapidly evolving world of Generative AI (GenAI), this role demands not only traditional machine learning expertise but also a deep understanding of GenAI-specific challenges. ● The ideal candidate will be a pivotal bridge between the theoretical capabilities of GenAI models and their practical application in production environments. ● We are looking for someone who can ensure our GenAI solutions are innovative, reliable, scalable, secure, and cost-effective. ● Key Responsibilities:Model Deployment & Maintenance: Focus on deploying, monitoring, and maintaining GenAI models in production, ensuring they function reliably in real-world settings. ● Data Engineering: Build and maintain efficient data pipelines and storage solutions that support model operations. ● Infrastructure Management: Utilize cloud platforms (AWS, Azure, GCP) for model deployment, containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform/CloudFormation). ● DevOps & Automation: Develop CI/CD pipelines, manage version control (Git), and automate deployment processes for seamless operational efficiency. ● Security & Monitoring: Implement secure coding practices, authentication, authorization, and set up robust monitoring and alerting systems for both infrastructure and model performance. ● Generative AI Expertise: Deep understanding of LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized infrastructure for GenAI workloads. ● Advanced Techniques: Apply advanced GenAI techniques like Retrieval-Augmented Generation (RAG), hallucination monitoring, and human-in-the-loop systems. ● Agent Development: Design and develop agent and multi-agent systems using frameworks like LangChain, enabling them to interact with external APIs and tools efficiently. ● Cost Optimization: Implement strategies to manage and reduce the operational costs associated with GenAI deployments. ● Qualifications: Bachelor''s degree in computer science/Engineering, data science, or a related field. ● Master''s degree preferred At least five years'' experience as a machine learning engineer, deploying models in production Strong proficiency in Python and software engineering principles. ● Solid understanding of machine learning fundamentals and model lifecycle management. ● Experience with cloud platforms, containerization, and infrastructure management. ● Familiarity with DevOps practices and automation tools. ● Expertise in GenAI frameworks, prompt engineering, and model serving. ● Ability to manage GPU/TPU resources and optimize model serving frameworks. ● Experience in developing agentic systems and multi-agent architectures. ● Proven track record in cost optimization in AI deployments. ● Impact & Purpose: We are committed to attracting the best and brightest talent who are driven by impact and purpose. ● The Senior Machine Learning Engineer will play a crucial role in advancing our GenAI capabilities, pushing the boundaries of innovation while ensuring practical application and scalability. ● If you are passionate about transforming theoretical AI models into impactful real-world solutions, we invite you to join our team. ●. Requisitos para participar do processo. ● . O que oferecemos.