$140 - $200/hr
Automate ML pipelines, logging of model usage, and predictions provided. * Improve ML pipeline ... Strong background in statistical modeling including ARIMA, regression, and Random Forest models.
$140 - $200/hr
Automate ML pipelines, logging of model usage, and predictions provided. * Improve ML pipeline ... Strong background in statistical modeling including ARIMA, regression, and Random Forest models.
$140 - $190/hr
Build and automate ML pipelines, including orchestration, monitoring, logging, diagnostics, and ... Background in statistical modeling techniques such as regression, ARIMA, Random Forest ...
$140 - $190/hr
Build and automate ML pipelines, including orchestration, monitoring, logging, diagnostics, and ... Background in statistical modeling techniques such as regression, ARIMA, Random Forest ...
Forestry Logging information
What is forestry logging?
A Forestry Logging job involves harvesting trees for timber, pulp, and other wood products while following sustainable forestry practices. Workers use specialized equipment like chainsaws, feller bunchers, and skidders to cut and transport trees safely. This job requires physical strength, coordination, and knowledge of safety protocols. Loggers often work in remote outdoor environments and may face challenging weather conditions. Sustainable logging helps ensure forests remain productive and healthy for future generations.
What skills and qualifications are needed for forestry logging?
To thrive in Forestry Logging, a strong understanding of forestry practices, the safe operation of heavy machinery, and often a high school diploma or equivalent are essential. Experience with chainsaws, harvesters, skidders, and relevant safety certifications such as OSHA training are highly valued. Reliability, physical stamina, teamwork, and effective communication are key soft skills in this field. These competencies are crucial to ensure productivity, safety, and environmental responsibility when harvesting timber and maintaining forest health.
What is the typical work environment for forestry logging?
Forestry Logging professionals usually work outdoors in various weather conditions, including heat, cold, rain, or snow, and often in remote or rugged forested areas. The work is physically demanding and may involve long hours using heavy equipment to cut, transport, and load logs. Teams typically function in close coordination to ensure safety and efficiency, often following specific environmental and regulatory guidelines. While the work can be challenging, it offers a sense of accomplishment for those who enjoy hands-on tasks and working in natural environments.
How much do forestry loggers make?
Forestry loggers typically earn between $30,000 and $50,000 annually, with experienced workers and those in higher-demand regions earning higher wages. Wages can vary based on experience, certifications, and the complexity of logging operations, often requiring physical strength and knowledge of safety protocols.
What are popular job titles related to Forestry Logging jobs in Kentucky?
For Forestry Logging jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Forestry Logging jobs in Kentucky look for?
The top searched job categories for Forestry Logging jobs in Kentucky are:
$140 - $200/hr
Other
Posted 4 days ago
General Mills rating
8.2
Based on 112 frontline employees who took The Breakroom Quiz
68th of 443 rated food and drinks producers
Job description
회사 개요
#J-18808-Ljbffr우리는 전 세계가 사랑하는 식품을 만들기 위해 존재합니다. 하지만 우리는 그 이상을 합니다. 우리 회사는 선한 영향력을 발휘하는 것을 최우선으로 하는 곳이며, 매일매일 배움을 확장하고 새로운 시각을 탐구하며 새로운 가능성을 재창조하는 공간입니다. 우리는 서로에게 도전하고 성장할 수 있는 대담한 사고를 가진 인재, 즉 최선을 다할 수 있는 인재를 찾습니다. 식품 분야의 확고한 리더가 되기 위해, 우리는 끊임없이 다음을 향해 도전하는 사람들과 함께합니다.
JOB OVERVIEWGeneral Mills is looking for a Lead ML Engineer. In this role, you are a technical lead within the AIA team focused on delivering the migration of machine learning-based solutions and agents from concept to production-level operational excellence. You will deliver initiatives such as building scalable, resilient, and automated solutions in GCP, Glean, UnifyApps, and other platforms to ensure that agents and models deliver on organizational objectives. You will professionally engineer solutions, taking into account notions of risk and effective/efficient use of computational resources.
KEY ACCOUNTABILITIES- Leading complex machine learning and agentic projects involving multiple resources including full accountability for stakeholder management and expectation setting, project scoping and planning, requirements elicitation, and overall project success while adhering to timeline/resource constraints.
- Having the ability to provide stakeholders with a range of options for solving a stated business problem is needed.
- Playing a key role in investigating, utilizing, and advocating for the use of generative and agentic tools to enhance the effectiveness of your team.
- Ability to effectively integrate an AI solution into a larger, complex system potentially comprising many third-party applications within the General Mills ecosystem.
- Research and operationalize technology and processes necessary to scale ML models and agentic solutions.
- Recommend model changes to optimize cloud spend.
- Automate monitoring of models both for failures and degradation.
- Automate monitoring of data sources to identify issues and/or data changes.
- Automate ML pipelines, logging of model usage, and predictions provided.
- Improve ML pipeline documentation and understandability.
- Harden code and processes to reduce or prevent failures.
- Improve logging and diagnostic processes.
- Lead the investigation and resolution of production issues, perform root cause analysis, and recommend changes to reduce/eliminate re-occurrence of issues.
- Optimize deployment and change control processes for models.
- Create and operationalize quality assurance processes for ML models.
- Knowledge of project/program management terminology/concepts and the ability to leverage this knowledge to ensure the success of initiatives.
- 4+ years professional experience as a software engineer, data scientist, or AI Engineer.
- Strong background in statistical modeling including ARIMA, regression, and Random Forest models.
- Background in optimization problems is strongly preferred.
- Track record of producing machine learning models and agentic solutions at scale.
- Strong verbal and written communication skills including the ability to interact effectively with colleagues of varying technical and non-technical abilities.
- Passionate about agile software processes, data-driven development, reliability, and systematic experimentation.
- Passion for learning new technologies and solving challenging problems.
- Bachelors Degree.
- Comfort working with a Windows computer and Microsoft Office Suite.
- Comfort working with international partners and potentially flexing your calendar to meet the time zone needs.
- Bachelors Degree in Computer Science, Engineering, IT or other related fields.
- 7+ years of related experience as a software engineer, data scientist or AI Engineer.
- Experience with deep code or custom code agentic frameworks (LangChain or LangGraph).
- Experience productionizing Optimization Models.
- Experience with factory systems.
- Experience with real-time pipelines.
- We are open to remote employees within the United States with a preference for talent in the Minneapolis market.
- International relocation or international remote working arrangements (outside of the US) will not be considered.
- Applicants for this position must be currently authorized to work in the United States on a full-time basis.
- General Mills will not sponsor applicants for this position for work visas.
- 지원자는 만 18세 이상이어야 합니다.
General Mills는 평등한 고용 기회를 제공하는 기업입니다.
EEO/DEI statement자격을 갖춘 모든 지원자는 인종, 피부색, 종교, 신조, 성별, 성적 지향, 성 정체성, 출신 국가, 연령, 장애, 재향군인 여부, 혼인 여부 또는 가족 구성, 공공 지원 수급 여부, 지역 인권 위원회 소속 또는 활동 여부와 관계없이 고용 심사 대상이 됩니다.
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About General Mills
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General Mills, Inc. manufactures some of the most beloved foods in the world, including Cheerios and Lucky Charms, Nature Valley granola bars, Totino's pizza rolls, and Yoplait yogurt. Blue Buffalo became part of General Mills in 2018, so even your pets love us too.
Industry
Manufacturing
Company size
10,000+ Employees
Headquarters location
Minneapolis, MN, US
Year founded
1928