Ai / ml engineer

Long term, contract to hire position with a major financial firm.REMOTE.Payrate : 80 - 100 / hrRequisition 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 (Gen AI), this role demands not only traditional machine learning expertise but also a deep understanding of Gen AI-specific challenges. The ideal candidate will be a pivotal bridge between the theoretical capabilities of Gen AI models and their practical application in production environments. We are looking for someone who can ensure our Gen AI solutions are innovative, reliable, scalable, secure, and cost-effective.Key Responsibilities : Model Deployment & Maintenance : Focus on deploying, monitoring, and maintaining Gen AI 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 / Cloud Formation).Dev Ops & 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, Gen AI architectures, frameworks like Hugging Face, prompt engineering, and specialized infrastructure for Gen AI workloads.Advanced Techniques : Apply advanced Gen AI 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 Lang Chain, enabling them to interact with external APIs and tools efficiently.Cost Optimization : Implement strategies to manage and reduce the operational costs associated with Gen AI deployments.Qualifications : Bachelor's degree in computer science / Engineering, data science, or a related field. Master's degree preferredAt least five years' experience as a machine learning engineer, deploying models in productionStrong 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 Dev Ops practices and automation tools.Expertise in Gen AI 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 Gen AI 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.