AI Engineer

IT360, Inc. is seeking a highly skilled and innovative AI Engineer to join our growing team. This strategic, client-facing role is responsible for designing, developing, and leading deployment of AI-driven solutions and automations that address complex business challenges for both internal operations and external clients. You’ll work with a variety of machine learning, automations, and scripting technologies to deliver intelligent, secure, and scalable solutions tailored to client needs., * Design and develop scalable AI/ML models to solve real-world problems across various domains.

• Collaborate with clients to identify AI opportunities and define solution requirements.

• Build and maintain end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.

• Integrate AI solutions into existing systems and platforms, ensuring performance, reliability, and scalability.

• Monitor and improve the performance of deployed models through continuous evaluation and retraining.

• Stay current with the latest advancements in AI/ML research and tools, and apply them to enhance solution effectiveness.

• Document processes, models, and systems to ensure transparency and reproducibility.

• Design and implement automations to streamline internal workflows and enhance client-facing services.

Additional Duties

• Collaborate with cross-functional teams to ensure seamless solution delivery.

• Provide high-quality customer service and maintain strong client relationships.

• Understand client business needs and align technology solutions accordingly.

• Accurately track time, tasks, and expenses in the ticketing system.

• Participate in customer interviews, feedback loops, and solution ideation.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field - or equivalent experience (e.g., GitHub projects, personal portfolio).

• Strong programming skills in Python (preferred), Java, or C++.

• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

• Proficiency in data manipulation and analysis using Pandas, NumPy, and SQL.

• Experience with cloud platforms (AWS, Azure, Google Cloud, OpenAI) and MLOps tools.

• Solid understanding of algorithms, data structures, and software engineering principles.

• Ability to work independently and collaboratively, with a strong sense of ownership and self-management.

• Familiarity with NLP, computer vision, reinforcement learning, and large language models (LLMs).

• Knowledge of data privacy, model interpretability, and ethical AI practices.

• Contributions to open-source AI projects or published research are a plus.

Skills & Technologies

• Scripting & Automation: PowerShell, Python (Jinja), Power Automate, REWST, Zapier

• APIs: REST (required), SOAP (optional), OpenAPI spec, Postman

• AI Techniques: Retrieval-Augmented Generation (RAG), AI scoring (Model Performance Metrics), reinforcement learning

• LLM Platforms: OpenAI, Claude, Gemini

• Microsoft 365 Stack: CoPilot, Power Automate, Function Apps, Email integrations

• Cloud & Serverless: Azure Function Apps