AI/ML Engineer

• 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.

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