An employer is looking for a remote Lead AI Data Engineer. The Engineer will be helping the company design, build, and deploy AI solutions on the Azure cloud platform. Creating and maintaining AI pipelines, data models and applications that leverage Azure AI services and tools will be the main responsibility of this individual. We are looking for a talented engineer who is able to collaborate with data scientists, technical personnel, and business stakeholders to ensure the quality of performance and scalability of our AI solutions.
Exact compensation may vary based on several factors, including skills, experience, and education. Pay range is between $70 and $90an hour. Benefit packages for this role will start on the 1st 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.
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
HR@insightglobal.com.
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https://insightglobal.com/workforce-privacy-policy/ .
5+ years of experience with Azure AI services (Azure machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics)
Experience in Python, SQL, and other programming languages for data analysis and AI development
Experience with AI frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, etc.)
Experience in Natural Language Processing (NLP) or Large Language Models (LLMs) and Transformer architecture
Experience with data engineering and data science concepts (data modeling, data cleansing, data visualization, machine learning, deep learning, natural language processing, computer vision, etc.)
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.