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NorthWestern Energy

AI Engineer

NorthWestern Energy, Butte, Montana, United States, 59701

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AI Engineer

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AI Engineer

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NorthWestern Energy Work location open to Nebraska, South Dakota and Montana (Billings, Bozeman, Butte, Great Falls, Helena or Missoula) office locations

Qualifications Include

Demonstrate and maintain a good safety record A Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, or a related field from a four-year accredited college. 4+ years of experience in an AI Engineering role preferred Experience using the following software/tools: Machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, MXNet Natural language processing and orchestration libraries: NLTK, SpaCy, LangChain, Prompt flow, etc. Cloud AI services: Azure Machine Learning, Azure Foundry, AWS SageMaker, Google AI Platform, etc. Programming languages: Python, R, etc. Advanced working knowledge of SQL and experience working with relational databases Working knowledge of Source Control and CI/CD processes Strong communication skills and the ability to explain complex AI concepts to non-technical stakeholders Experience with Business Intelligence (BI) tools Experience building GenAI applications, including working with LLM, RAG and multi-agent systems Experience performing root cause analysis on AI models and processes to answer specific business questions and identify opportunities for improvement Strong analytic skills related to working with structured and unstructured datasets A successful history of manipulating, processing, and extracting value from large datasets Proven knowledge of secure software development and building secure AI systems Strong project management and organizational skills Experience supporting and working with cross-functional teams in a dynamic environment Experience with or knowledge of Agile Software Development methodologies The candidate should be results-driven, an analytical and creative thinker, an innovative problem solver, self-motivated and proactive, highly organized, and can handle multiple and simultaneous tasks to meet aggressive deadlines Strong problem-solving skills and attention to detail Get Into Energy - Energy Industry Fundamental 2.0 certification is a plus [getintoenergy.org](click here to certify at no cost)

Duties Include

Optimize AI development and production environments for performance, scalability and reliability, with a focus on building effective continuous integration/continuous delivery (CI/CD) infrastructure Collaborate with data engineers, software developers, and business stakeholders to streamline AI delivery through AI engineering best practices; improve data integrity and pipelines for continuous operation of AI models; and secure AI Pipelines in compliance with regulations and internal guidelines Scan the technology landscape regularly for new tools that can improve AI engineering processes and stay abreast of new techniques in AI that can deliver substantial business value Enable experimentation, development, evaluation and deployment of generative AI (GenAI) applications by setting up AI sandboxes for experimentation, deploy advanced prompt engineering techniques (such as retrieval-augmented generation [RAG]), fine-tuning models, automate complex workflows and monitor production AI Applications Develop, maintain and deliver AI training and educational programs to education employees on AI tools, technologies and use cases ensuring user adoption across the organization Create AI applications to provide actionable insights into customers, operational efficiency, and other key business performance metrics Implement processes and systems to monitor AI model performance and ensure production models are accurate and reliable Plan, direct, and set priorities with project teams to ensure timely task completion Some travel (up to 15% of time) and extended hours may be required All NorthWestern Energy employees re required to adhere to company safety standards and the Code of Business Conduct & Ethics Ensure all actions are consistent with NorthWestern Energy's values, mission, and strategic business objectives Conduct research and stay updated on the latest AI trends and technologies to continuously improve AI solutions Develop and maintain documentation for AI models, processes, and systems Collaborate with IT and data teams to ensure seamless integration of AI solutions with existing systems Participate in code reviews and provide constructive feedback to peers Develop and implement strategies for AI model deployment, monitoring, and maintenance Evaluate and select appropriate AI tools and technologies for various projects Work with cross-functional teams to identify opportunities for AI-driven innovation and improvement Develop and maintain AI-related performance metrics and KPIs to measure the success of AI initiatives All Northwestern Energy employees are required to adhere to company safety standards and the Code of Business Conduct and Ethics Ensure all actions are consistent with Northwestern Energy's values, mission, and strategic business objectives Full-time position

$83,600 to $153,400 per year, depending on experience. Benefits include: 401K with company match up to 4% and non-elective contribution up to 7%; healthcare and wellbeing programs, including dental and vision for you, your spouse and dependents; Health Savings Account (HSA); healthcare and dependent care flexible spending account (FSA); Employee Assistance Program (Offering up to six free counseling sessions, per person, per issue, per year for employees, spouses and dependents); Life Insurance (company pays basic employee policy; spouse, dependent insurance also available); tuition reimbursement; competitive pay (scheduled performance-based wage increases and annual incentive opportunities); paid company endorsed volunteer opportunities; paid training opportunities; paid time off starting on your first day, plus 11 paid holidays.

Full-time.

Open until filled.

Apply online at: https://northwesternenergy.applicantpro.com/jobs/3806451 Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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