Now hiring!

Experience with model and solution monitoring and reporting.
3‑6 years of full‑time working experience in AI and/or Machine Learning.
A Bachelor's degree required (4-year degree).
Experience designing, building, and maintaining high‑impact, high‑value production AI/ML solutions on a major cloud platform.
Experience with model retraining and feedback loop methodologies.
Understanding of data structures, data modelling, and software engineering best practices.
Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions.
Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation.
Experience with natural language processing and deep learning.
Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall‑e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit‑learn and PyTorch.
Strong skills in Python.
Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques.
Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements.

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Tooling and fixture design
CAD / 3D modeling (Unigraphics or similar)
Associate degree in Industrial Technology, Mechanical Engineering, or a related field, or equivalent work experience
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Occasional travel may be required
Occasional lifting and moving of materials up to 50 lbs (15-40%)
ISO quality procedures
Minimum of 5 years of machine shop experience
Experience with Computer Aided Manufacturing (CAM) systems
Access to information subject to ITAR; employment contingent upon being a "U.S. person" as defined by ITAR (22 CFR §120.15)