RCP021 – Environmental Compliance Specialist 2 Entry Salary $44,000 Bachelor's degree in Chemistry, Biology, Physics, Geology or other natural or physical science or engineering field from an accredited college or university AND Two years of professional experience in environmental protection.

Committed to delivering clean, safe, reliable, and affordable energy at rates below the national average, Georgia Power maintains a diverse, innovative generation mix that includes nuclear, coal and natural gas, as well as renewables such as solar, hydroelectric and wind.

Location - Decatur, GA - Natural Stone. Decatur, GA - Natural Stone. High School Diploma or GED required. Loading and unloading of granite, marble, solid surfaces and quartz slabs with the use of forklifts and forklift attachments- adequate training will be provided.

Qualifications Minimum Qualifications – Education and Experience Bachelor's degree in natural, physical, or forensic science from an accredited college or university with the successful completion of at least 40 semester hours (or 60 quarter hours) of coursework in natural sciences (Biology, Chemistry, Physics, etc.

About Us Join the largest manufacturer of tile and natural stone in the United States and watch your career stand out with Dal-Tile, a subsidiary of Mohawk Industries. About Us Join the largest manufacturer of tile and natural stone in the United States and watch your career stand out with Dal-Tile, a subsidiary of Mohawk Industries.

We are interested in a variety of topics including large-scale distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogenous data analytics.

Experience with artificial intelligence, machine learning, Natural Language Processing, knowledge discovery and data mining, unstructured data analytics. Experience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar.

Participates in all types of sports field maintenance labor such as:Mowing/groomingSynthetic & Natural Grass Cultural/Maintenance PracticesPainting/Paint RemovalField layoutParticipates in Inclement Weather readiness and execution.

Developing programs within mainframe environment (COBOL, ADABAS, and NATURAL) Prior experience with COBOL, ADABAS, and NATURAL are required. Advanced knowledge of Cobol/Natural development for batch/online programs and support.

Join the largest manufacturer of tile and natural stone in the United States and watch your career stand out with Dal-Tile, a subsidiary of Mohawk Industries. Join the largest manufacturer of tile and natural stone in the United States and watch your career stand out with Dal-Tile, a subsidiary of Mohawk Industries.

Moreover, you will be assisting with flood and other natural catastrophe risk assessment to our growing global property book of business. As a member of the Catastrophe Engineering and Analytics team, you will also work in functional groups to help refine BHSI’s internal flood view and other natural catastrophe risks.

Bachelor’s degree in an environmental discipline (biology, ecology, natural resources, soil science or related natural resources field) 4-12 years-experience with water resources delineations and assessments is required, with some field experience in natural resource inventories and surveys desired.

Proven experience in Computer Vision, Natural Language Processing, deep learning libraries (TensorFlow or PyTorch) Design and develop Computer Vision, Natural Language processing and Machine Learning algorithms, in large-scale production systems and assess solutions performance with statistical analysis.

As an Environmental Scientist/Ecologist, you will work in a highly dynamic team environment with other biologists/ecologists/water resource specialists, ecosystem restoration engineers, NEPA specialists, environmental planners, and regulatory experts.

Experience with Natural Language Processing (NLP), Large Language Models (LLMs), and/or Recommendation Engines. Promote data science, machine learning, AI, and digital and emerging technologies at Harvard Business School in relevant channels through community engagement, networking, speeches, and publications as applicable.