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Redaptive

AI Engineer

Posted 5 Days Ago
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In-Office
Pune, Maharashtra
Senior level
In-Office
Pune, Maharashtra
Senior level
Drive AI development and integration across business units, focusing on Agentic and Generative AI. Lead data science projects, architect solutions, and ensure compliance with ethical AI standards while collaborating with stakeholders.
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Position Summary:

About Redaptive:
Redaptive is an Energy-as-a-Service provider that funds and installs energy-saving and energy-generating equipment. Redaptive’s programs help many of the world’s most sophisticated organizations reduce energy waste, save money, lower their carbon emissions, and meet their sustainability goals across their entire real estate portfolios. With Redaptive, customers can overcome capital and contractual barriers to achieve energy-saving benefits quickly, all with real-time data powered by Redaptive’s proprietary Data Solutions metering platform. Redaptive was founded in 2015 and is headquartered in Denver, CO. Redaptive is backed by CarVal, ENGIE New Ventures, Linse Capital, CBRE, Evergy Ventures, Rabobank, CPP Investments, and Honeywell.
Our company culture is exciting, collaborative, and fast paced. We are passionate about changing the world and helping our customers to become more environmentally sustainable and profitable. We are looking for team members who are driven, passionate, and want to take on a diverse set of challenges to help grow a great company. Redaptive, Inc is an equal employment opportunity employer and all qualified applicants will receive consideration for employment. For more information, visit www.redaptive.com
Position Summary:

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.  

 

 

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

Top Skills

AWS
Databricks
Mlflow
Python

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