AI Engineer

- AI Solution Development & Deployment:
- Design and implement AI models and algorithms using Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI.
- Develop and deploy machine learning models, particularly focusing on NLP and LLMs, utilizing frameworks such as LangChain or Semantic Kernel.
- Implement RAG architectures using Azure AI Search to enhance the performance and accuracy of generative AI applications.
- Project Delivery & Client Engagement:
- Lead and contribute to the delivery of AI projects, ensuring solutions are scalable, secure, and aligned with client objectives.
- Work in both project-based and staff augmentation roles, adapting to various client environments and requirements.
- Provide technical expertise and guidance to clients, ensuring successful adoption and integration of AI solutions.
- Model Validation & Quality Assurance:
- Conduct thorough testing and validation of AI models to ensure accuracy, reliability, and performance.
- Optimize and fine-tune models, addressing issues related to data quality, bias, and fairness.
- Stay current with industry trends and best practices in AI technology, incorporating them into solution development.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
Required Skills & Experience
- Bachelor's Degree in Computer Science, Data Science or similar (relevant work experience is acceptable)
- 7 + years of experience in AI/ML development, with a focus on OpenAI Services, NLP and LLMs.
- Experience in a consulting environment, engaging with clients and delivering tailored solutions.
- Technical Skills:
- Proficiency in programming languages such as Python or C#.
- Experience with Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI.
- Familiarity with RAG architectures and tools like LangChain, Semantic Kernel, or LlamaIndex.
- Model selection, validation, and workload optimization.
- Knowledge of data processing and pipeline development using Azure Data Factory or similar tools.
- Understanding of MLOps practices and tools for model lifecycle management.
- Soft Skills:
- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team in a dynamic, fast-paced environment.
Nice to Have Skills & Experience
- Microsoft Certified: Azure AI Engineer Associate or similar certifications.
- Experience with containerization and deployment tools such as Docker and Kubernetes.
- Familiarity with responsible AI principles and practices.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.