Redaptive

人工智能工程师

加入Redaptive,担任浦那AI工程师,领导Agentic和生成式AI项目。推动AI在各业务部门的整合,支持全球可持续发展。享受全面健康保障、灵活混合办公及成长机会,工作环境协作友好。
Redaptive
Redaptive
浦那, 印度 混合 全职 UTC+05:30

Redaptive

公司概况

Redaptive

美国丹佛

2015年

约200名员工(来源:zoominfo.com)。预计2023年收入为6780万美元(来源:zoominfo.com)。

他们的业务

Redaptive作为能源即服务(EaaS)提供商,专注于为商业和工业客户融资和安装节能及发电设备。公司专注于能源效率升级、可再生能源发电和数据驱动的建筑性能优化,利用专有的数据即服务计量平台实现能源消耗的实时监控(来源:zoominfo.com)。他们的服务包括资金支持、安装和管理各种能源解决方案,如LED照明改造、太阳能安装和能源存储,所有这些都通过创新的基础设施货币化模型提供,使客户能够避免前期资本支出(来源:redaptive.com)。Redaptive的目标行业包括工业、商业房地产和医疗保健,与T-Mobile和Cintas等大型组织合作,优化美国、加拿大和欧洲多个地点的能源使用并减少排放(来源:prnewswire.com)。

项目与业绩

Redaptive已成功完成超过12,000个项目,为客户创造了令人印象深刻的3.53亿美元的验证能源节省。公司已投入约12亿美元用于节能和发电安装,展示了其丰富的经验和致力于提供可衡量结果的承诺(来源:redaptive.com)。尽管没有详细列出具体项目名称和容量,但其运营规模反映了在能源效率领域的强大业绩记录。最近的举措包括获得重要资金,以支持在美国、加拿大和欧洲的持续项目,进一步巩固其市场地位(来源:prnewswire.com)。

近期发展

在过去两年中,Redaptive在扩展其运营和获得资金方面取得了显著进展。值得注意的是,公司从ATLAS SP Partners获得了2.25亿美元,从德意志银行、荷兰银行和三菱HC资本美国获得了2.5亿美元,以加速其节能和发电项目(来源:prnewswire.com)。此外,Redaptive迁至丹佛新的25,000平方英尺的总部,反映了其员工快速增长和进一步招聘的计划(来源:prnewswire.com)。公司还宣布与eEnergy达成合作,支持高达1亿英镑的英国能源效率项目,标志着其国际扩展战略的重要一步(来源:cbinsights.com)。

在这里工作

Redaptive大约雇佣200名员工,职位涵盖工程、财务、数据分析和项目执行等多个部门(来源:zoominfo.com)。公司文化鼓励创新和解决问题,吸引在快速增长环境中茁壮成长的大胆思想家和变革者。他们在丹佛的总部旨在促进社区融合和员工扩展,专注于可持续解决方案(来源:prnewswire.com)。虽然具体的员工福利没有公开记录,但公司强调建立与长期基础设施转型相一致的劳动力(来源:redaptive.com)。


最后更新于 3月 27, 2026 | 报告问题

Job Description

As a member of Redaptive's AI team, you will be driving Agentic AI and Generative AI integration across all of Redaptive's business units. You will drive AI development and integration across the organization, directly impacting Redaptive's global sustainability efforts and shaping how we leverage AI to serve Fortune 500 clients.

Responsibilities and Duties

  • Strategic Leadership (10%):

    • Champion the AI/ML roadmap, driving strategic planning and execution for all initiatives.
    • Provide guidance on data science projects (Agentic AI, Generative AI, and Machine Learning), aligning them with business objectives and best practices.
    • Foster a data-driven culture, advocating for AI-powered solutions to business challenges and efficiency improvements.
    • Collaborate with product management, engineering, and business stakeholders to identify opportunities and deliver impactful solutions.
  • Technical Leadership (40%):

    • Architect and develop Proof-of-Concept (POC) solutions for Agentic AI, Generative AI, and ML.
    • Utilize Python and relevant data science libraries, leveraging MLflow.
    • Provide technical guidance on AI projects, ensuring alignment with business objectives and best practices.
    • Assist in development and documentation of standards for ethical and regulatory-compliant AI usage.
    • Stay current with AI advancements, contributing to the team's knowledge and expertise.
    • Perform hands-on data wrangling and AI model development.
  • Operational Leadership (50%):

    • Drive continuous improvement through Agentic AI, Generative AI, and predictive modeling.
    • Participate in Agile development processes (Scrum and Kanban).
    • Ensure compliance with regulatory and ethical AI standards.
    • Other duties as assigned.

Required Abilities and Skills

  • Agentic AI development and deployment.
  • Statistical modeling, machine learning algorithms, and data mining techniques.
  • Databricks and MLflow for model training, deployment, and management on AWS.
  • Working with large datasets on AWS and Databricks.

Strong hands-on experience with

  • Agentic AI development and deployment.
  • Working with large datasets on AWS and Databricks.

Desired Experience

  • Statistical modeling, machine learning algorithms, and data mining techniques.
  • Databricks and MLflow for model training, deployment, and management on AWS.
  • Experience integrating AI with IoT/event data.
  • Experience with real-time and batch inference integration with SaaS applications.
  • International team management experience.
  • Track record of successful product launches in regulated environments.

Education and Experience

  • 5+ years of data science/AI experience
  • Bachelor's degree in Statistics, Data Science, Computer Engineering, Mathematics, or a related field (Master's preferred).
  • Proven track record of deploying successful Agentic AI, Generative AI, and ML projects from concept to production.
  • Excellent communication skills, able to explain complex technical concepts to both technical and non-technical audiences.

Physical Demands and Work Environment

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodation may be made to enable individuals with disabilities to perform the functions.

While performing the duties of this position, the employee is regularly required to talk and hear. The employee frequently is required to use hands or fingers, handle or feel objects, tools, or controls. The employee is occasionally required to stand, walk, sit, and reach with hands and arms. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this position include close vision, distance vision, and the ability to adjust focus. The noise level in the work environment is usually low to moderate.

Have an ergonomically correct and functional work-from-home workstation set up; amenable to hybrid of working from home and in an office setting in Denver Colorado.

Travel

Up to 10% travel is expected to engage with remote teams, customers, or technology suppliers. Infrequent travel to engage teams in India may be expected.

The Perks!

At Redaptive, we believe great work starts with great people - and we're committed to supporting you every step of the way. From health and wellbeing to growth and flexibility, our benefits are designed to help you live well, work smart, and grow with us. We foster a fun, fast-paced, and collaborative culture driven by our passion for creating a more sustainable and profitable world. Join us to take on diverse challenges, grow your career, and help build a healthier planet.

  • Live Well: Comprehensive health insurance for you and your family, access to wellness apps, second medical opinions, and an Employee Assistance Program for mental wellbeing.
  • Financial Wellbeing: Competitive pay, bonuses, and equity participation that reward your contribution and commitment.
  • Flexibility & Time Off: Enjoy generous paid time off, a hybrid work model, and family-first policies including paid parental leave.
  • Growing Ahead: We offer continuous growth and learning programmes for upscaling, continuous growth. This includes - curated learning modules, online programmes, certifications and cross-functional opportunities. 2 in every 5 roles on an average are filled through internal talent - a reflection of our strong culture of growing from within.
  • Redaptive Extras: Snack-stocked pantries, creative workspaces, and fun office events to collaborate and unwind.

The company is an Equal Opportunity Employer, drug-free workplace, and complies with Labor Laws as applicable. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities.

The company is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities.

Redaptive is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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职位详情

2026年3月30日

全职

公司

2026年4月4日

混合

智能电网

Redaptive

redaptive.com

  •  浦那, 印度

5+ years of data science/AI experience

UTC+05:30