POSITION SUMMARY The Business Development Manager, Thermal Services will drive revenue growth and strategic partnerships with leading Original Equipment Manufacturers (HPE, Dell, Lenovo, Supermicro, etc.) in the high-performance liquid cooling market. This dual-focused role combines strategic
Description Our client is looking for 2 Azure Cloud Platform Engineers for 6 month contracts. After about 3 months, we will know if these resources can be extended, but it is highly likely. We are looking
At FNBO, our employees are the heart of our story—and we’re committed to their success! Please see below the details of this career opportunity and how it fits into our organization’s success. Summary of the Job:
Company Description Continental is a leading tire manufacturer and industry specialist. Founded in 1871, the company generated sales of €19.7 billion in 2025 and currently employs around 76,000 people in 54 countries and markets. Tire solutions
Company Description Continental is a leading tire manufacturer and industry specialist. Founded in 1871, the company generated sales of €19.7 billion in 2025 and currently employs around 76,000 people in 54 countries and markets. Tire solutions
AI Engineer II (Hybrid) YOU MUST CURRENTLY BE IN OMAHA AREA! Requisition Job Title: AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office (Hybrid – Omaha, NE preferred) PLEASE NOTE: WoodmenLife will
An HR tech startup is seeking an experienced ML Engineer to own end-to-end ML systems. You will design and maintain machine learning platforms tailored for skill assessments, collaborate closely with psychologists and engineers, and optimize model performance. Strong
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side