Machine Learning Engineer-Mid

As an AI Engineer II, you will design, develop, and deploy AI/ML solutions that enhance customer experiences, improve operational efficiency, and enable innovative digital products. The ideal candidate combines strong machine learning expertise with hands-on software engineering skills and a passion for staying current with advancements in artificial intelligence, large language models (LLMs), and cloud technologies., * Research, prototype, and develop AI-driven software solutions to solve complex business challenges.

• Design, build, and deploy machine learning and generative AI applications into production environments.
• Develop and optimize solutions leveraging large language models (LLMs), vector databases, retrieval techniques, and memory frameworks.
• Collaborate closely with cross-functional teams including data engineering, product management, architecture, and user experience.
• Evaluate emerging AI technologies, frameworks, and tools and recommend adoption where appropriate.
• Ensure high standards of code quality, scalability, reliability, and performance.
• Participate throughout the solution lifecycle, from experimentation and proof-of-concept development to production deployment and monitoring.
• Deliver projects on schedule while maintaining a strong focus on innovation and engineering excellence.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related technical field (or equivalent practical experience).
• 2+ years of experience with feature engineering, data preparation, and statistical modeling techniques.
• 2+ years of experience training, evaluating, and deploying machine learning and AI models in production environments.
• Hands-on experience developing solutions utilizing large language models (LLMs) and generative AI technologies.
• Experience building advanced AI systems utilizing vector databases, embeddings, retrieval-augmented generation (RAG), memory architectures, or similar technologies.
• Experience deploying and managing machine learning workloads within cloud environments.
• Familiarity with MLOps practices and the operationalization of AI solutions.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Strong software development skills and proficiency in Python or similar programming languages.

Preferred Qualifications

• Experience with Databricks or comparable data and AI platforms.
• Experience developing APIs, backend services, and integrated data solutions.
• Familiarity with modern databases, both relational and NoSQL.
• Experience building and supporting production-grade AI systems.
• Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, Amazon Q, or similar platforms).
• Exposure to cloud-native architectures and scalable distributed systems.

Desired Skills

• Generative AI and LLM application development
• Retrieval-Augmented Generation (RAG)
• Prompt engineering and AI orchestration frameworks
• Vector databases and embeddings
• Machine learning model development and deployment
• Python development
• Cloud platforms (Azure, AWS, or Google Cloud Platform)
• Docker and Kubernetes
• API and microservices development
• MLOps and production AI systems

This position offers the opportunity to work on cutting-edge AI initiatives while helping shape enterprise-scale solutions that directly impact business outcomes and customer experiences.