Analyst or Associate, AI Engineer (Renewable Energy)
Контакты
100 000 - 130 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
aipythonsqlazurellmmachine learningforecastingdata pipelinespredictive modelingfullstack development
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$100к-130к/год
$140к$180кмедиана$270к
По похожим ролям (49) ~ $180к/год
На СНГ рынке: $3.6к/мес ($2.3к - $4.2к)
66
Хорошая вакансия
развернуть
Здесь можно самостоятельно доводить AI-продукты до production в сфере возобновляемой энергетики, но широкий круг задач от full-stack-разработки до ML и внедрения сочетается с зарплатой заметно ниже рыночного ориентира.
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Ниже рынкаШирокий круг задачСовременный стекЧистая энергетикаБонус в первый год
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Analyst or Associate, AI Engineer (Renewable Energy): Building and deploying AI applications, predictive models, data pipelines, and automated workflows for commercial and technical renewable energy teams with an accent on full-stack ownership, Azure infrastructure, and reliable language-model applications. Focus on taking products from prototype to production, integrating enterprise data and APIs, evaluating multi-step workflows, and driving adoption among non-technical users.
Location: New York, NY; based in hirify.global's New York office
Expected annual base salary: $100,000–$130,000, depending on title and experience
Company
hirify.global owns and operates renewable energy projects throughout the United States, with approximately 13 gigawatts of contracted capacity across more than 85 projects in 24 states.
What you will do
Design, build, and deploy AI applications from prototype through production for commercial and technical teams.
Partner with business teams to understand workflows, identify high-value problems, prioritize solutions, and make build-versus-buy decisions.
Drive adoption through change management, training, documentation, and iterative improvement.
Clean, structure, and manage data across databases, data warehouses, internal systems, vendor platforms, and APIs.
Build and maintain Azure data pipelines, databases, storage, application hosting, deployment infrastructure, and rigorous testing and evaluation.
Undergraduate or graduate degree in computer science, engineering, data science, statistics, mathematics, economics, or a related quantitative field.
Two or more years of software development experience, including building an AI-enabled application from prototype through production.
Experience deploying a machine learning model to production, including related data cleaning and pipeline work.
Full-stack experience owning products across both front end and back end.
Strong proficiency in Python and SQL, with hands-on experience using large language models, model APIs, retrieval, and evaluation.
Experience with cloud platforms, preferably Azure, including databases, data warehouses, data pipelines, and production deployment.
Strong commercial judgment, including learning unfamiliar domains quickly, engaging credibly with business stakeholders, and prioritizing by business value.
Excellent written and verbal communication skills, comfort driving change with non-technical users, and comfort with ambiguity, shifting priorities, and a fast pace.
Nice to have
Experience and commercial context in renewable energy, utilities, energy markets, or EPC construction is highly preferred.
Culture & Benefits
Lean teams emphasize efficiency, ownership, creativity, intellectual curiosity, continuous improvement, and constructive dialogue.
Collaborative environment grounded in accountability, integrity, care, and thoughtful risk-taking.
Year-end variable compensation bonus, guaranteed in the first year of hire.
Medical and prescription drug coverage, 401(k) contribution matching, paid time off, wellness reimbursement, family building benefits, and charitable gift matching.
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