Remote Senior Data Scientist

Overview:
Were seeking a Senior Data Scientist with deep, hands-on expertise in Generative AI, Large Language Models (LLMs), Agentic AI, and Computer Vision. The ideal candidate has a strong track record of designing and deploying AI models in production at scale, including work on both text-based and image-based AI systems. A solid background in traditional machine learning, predictive modeling, and proficiency in cloud platforms such as Azure and Databricks is essential.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here.

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Key Responsibilities:
Design and deploy scalable LLM, Generative AI, and Agentic AI systems in production environments.
Build and refine computer vision models (e.g., object detection, image segmentation, image captioning, visual reasoning).
Develop end-to-end AI pipelines: data collection, preprocessing, training, evaluation, deployment, and monitoring.
Apply traditional machine learning methods to solve predictive modeling problems across structured and unstructured data.
Integrate AI solutions with enterprise platforms using Azure, Databricks, and distributed systems.
Collaborate with data engineers, MLOps teams, and product stakeholders to align solutions with business needs.
Continuously improve model performance and reliability through testing, monitoring, and feedback loops.

Required Qualifications:
5+ years of experience in data science and applied machine learning.
2+ years of direct experience building and deploying LLMs and Generative AI models in production.
Experience developing agentic AI solutions, such as tool-using agents or autonomous workflows at scale.
Expertise in computer vision, with hands-on experience using frameworks like OpenCV, PyTorch, Detectron2, or YOLO.
Proficient in both traditional ML (e.g., classification, regression, clustering, time series) and deep learning approaches.
Skilled in Python and common ML/AI libraries (Transformers, Hugging Face, TensorFlow, LangChain, etc.).
Strong communication and collaboration skills, including translating complex models into actionable business insights.

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.