Job title
AI/ML Engineer
Base
Pune / Remote
Hours per week
39 Hours
Probation period
3 months
Salary
Full Time
Annual Leave
25 days (plus Bank Holidays)
About us:

Spendkey collects, cleans, and enriches data from documents and systems so that you can analyse spend, compare contracts and invoices, share insights, make recommendations, and get things done.  

Spendkey is an AI-powered spend data platform with autonomous sourcing and negotiations.  

Takes proactive steps to control spend, makes timely decisions and negotiates better deals with automated tasks that reduce supply risk, cut costs, enhance quality and improve sustainability and performance. 

About the role:

As an AI/ML Engineer with Amazon Bedrock expertise, you will be instrumental in deploying and managing foundation models that drive key procurement automation features, such as narrative generation and autonomous sourcing.

Key responsibilities:
  • Deploy and manage Amazon Bedrock-powered models and fine-tune them for procurement-specific tasks.
  • Work on implementing LLMs, NLP, and Generative AI models for automated decision-making and sourcing capabilities.
  • Collaborate with the Lead GenAI Engineer and Full-Stack Developers to ensure models are integrated effectively into the product.
Qualifications:
  • Experience with Amazon Bedrock for deploying and scaling foundation models.
  • Education: Minimum Bachelor's degree in a relevant technical field such as Computer Science, Engineering, Information Technology, Data Engineering, or AI.
Preferred Skills:
  • Expertise in machine learning frameworks like TensorFlow and PyTorch.
  • Proficient in using AWS services such as SageMaker, Lambda, and DynamoDB to support AI models with 3-4 years of experience.
Location:

Pune / Remote

Job title
AI/ML Engineer
Base
Work form home
Hours per week
39 Hours
Probation period
3 months
Salary
£25,000
Annual Leave
25 days (plus Bank Holidays)
About us:

At Spendkey, we believe in the transformative power of insights, which is why we go beyond simple dashboards and reporting. We exist to help companies confidently navigate the complex world of spend and supplier management to enable success in today’s competitive business environment.

Our mission is to empower businesses to harness their data and unlock hidden insights to make data-informed decisions that achieve their strategic business goals. We do this through innovation and collaboration, with a passion for accuracy and delivering value for our customers.

Spendkey is a spend strategy platform that helps organisations transform data and documents into profit-driving recommendations and clear actions. Spendkey combines market intelligence and AI technology to extract the full potential of business data, driving success and growth for organisations of all sizes and industries.

Spendkey integrates a comprehensive suite of capabilities, including spend analytics, contract management, category management, market intelligence, negotiation strategies, risk management, and generative AI tools such as our Document Analyser and Cassian AI—all working together to drive profitable business growth. Our AI-powered spend strategy platform empowers businesses to have smarter spend conversations, develop cost-saving strategies, and establish a healthy spend culture.

Founded in 2020, Spendkey has gained trust among businesses across various industries, including pharmaceuticals, manufacturing, fintech, healthcare, wealth management, consulting, and more.

Spendkey is headquartered in the United Kingdom, and we also have a subsidiary, Spendkey India Private Limited, operating in Pune, India.

About the role:

As an AI/ML Engineer with Amazon Bedrock expertise, you will be instrumental in deploying and managing foundation models that drive key procurement automation features, such as narrative generation and autonomous sourcing.

Key responsibilities:
  • Deploy and manage Amazon Bedrock-powered models and fine-tune them for procurement-specific tasks.
  • Work on implementing LLMs, NLP, and Generative AI models for automated decision-making and sourcing capabilities.
  • Collaborate with the Lead GenAI Engineer and Full-Stack Developers to ensure models are integrated effectively into the product.
Requirements

Spendkey collects, cleans, and enriches data from documents and systems so that you can analyse spend, compare contracts and invoices, share insights, make recommendations, and get things done.  

Spendkey is an AI-powered spend data platform with autonomous sourcing and negotiations.  

Takes proactive steps to control spend, makes timely decisions and negotiates better deals with automated tasks that reduce supply risk, cut costs, enhance quality and improve sustainability and performance. 

Qualifications:
  • Experience with Amazon Bedrock for deploying and scaling foundation models.
  • Education: Minimum Bachelor's degree in a relevant technical field such as Computer Science, Engineering, Information Technology, Data Engineering, or AI.

Interested in applying for this role?

Simply fill in your details and click the ‘Send Job Enquiry’ button

Spendkey Wins the Start-Up Award at Global Procurement & Supply Chain Awards 2024  

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