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JOB DESCRIPTION:
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At HTC Global Services our consultants have access to a comprehensive benefits package. Benefits can include Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks.
Job Summary:
We are seeking a skilled and innovative AI Engineer with strong expertise in Python and Microsoft Certified Professional (MCP) experience. The ideal candidate will be responsible for developing, deploying, and maintaining AI models in production environments using cloud platforms and MLOps tools. This role demands a deep understanding of AI frameworks, cloud infrastructure, and modern generative AI technologies.
Key Responsibilities:
Design, develop, and deploy AI models into production using cloud platforms such as AWS, Azure, or GCP.
Implement MLOps pipelines for continuous integration, deployment, and monitoring of AI solutions.
Evaluate and fine-tune model performance, ensuring high accuracy, reliability, and scalability.
Troubleshoot and resolve issues in AI applications across various environments.
Work with AI frameworks like TensorFlow, PyTorch, and scikit-learn to build and optimize models.
Utilize abstraction and orchestration tools to manage multi-model AI systems.
Collaborate with cross-functional teams to integrate AI capabilities into business applications.
Explore and implement solutions using conversational AI platforms and generative AI technologies.
Work with cutting-edge LLMs including Anthropic’s Claude, Google’s Gemini, and Amazon Q, applying a multi-model approach for diverse use cases.
Required Skills & Qualifications:
Proven experience in Python programming and AI model development.
Hands-on experience with cloud platforms (AWS, Azure, GCP) for AI deployment and scaling.
Familiarity with MLOps tools and practices.
Experience with conversational AI and generative AI platforms.
Understanding of LLMs such as Claude, Gemini, and Amazon Q, and ability to work across multiple models.
MCP certification or equivalent experience in Microsoft technologies.
Strong problem-solving skills and ability to work in a fast-paced environment.
Preferred Qualifications:
Experience with abstraction/orchestration tools for managing AI workflows.
Knowledge of data engineering and model lifecycle management.
Exposure to enterprise AI applications and AI ethics.
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