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CTS Group
Role Name
AI Manager
Role Details

Company: CTS Group

Location: Mumbai, India, Asia

Location Type: Onsite

Employment Type: Full-time Employee

Salary: INR 26,00,000 - INR 45,00,000

Apply Now

About CTS Group 

CTS Group SA is a fast-growing and dynamic company, specializing in the design and build  of large-scale Data Centers across multiple countries, including Scandinavia, Europe, and  the Middle East. CTS Group is rapidly expanding into other markets globally. In addition to  D&B, we develop and produce digital systems tailored for the Data Centre industry and  standardized self-contained units. Our team of professionals, representing more than 40  different nationalities, fosters an inclusive and collaborative culture where innovation and  excellence are at the heart of everything we do. Through our projects, we have built a strong  reputation as a trusted partner in delivering some of the most advanced, efficient, and  sustainable Data Centre solutions in the region.  

 

About the Role 

We are seeking an experienced AI Manager to join our team, responsible for leading the development and implementation of AI-driven solutions that support business objectives. The role involves managing AI projects, guiding technical teams, defining AI strategy, and ensuring the successful delivery of scalable and impactful AI initiatives. The ideal candidate will combine strong leadership skills with expertise in AI technologies to drive innovation and business value.

 

Key Responsibilities  

  • Lead and manage a team of AI/ML engineers, setting technical direction and mentoring
    talent across Generative AI, NLP, and ML domains within a data centre technology
    context

  • Own the end-to-end AI product lifecycle — from ideation and architecture to deployment
    and continuous improvement — across data centre design, build, and operations use
    cases

  • Identify and drive AI opportunities specific to data centre environments, including
    predictive maintenance, power and cooling optimisation, infrastructure anomaly
    detection, and automated reporting

  • Partner with business and operations stakeholders to define AI use cases, translate
    them into scalable solutions, and ensure measurable impact on data centre performance
  • Drive adoption of LLM-based applications, overseeing prompt engineering strategies,
    model integration, and performance benchmarking

  • Oversee cloud infrastructure (Azure preferred) for AI services, ensuring cost efficiency,
    security compliance, and scalability across data centre workloads

 

Required Skills and Experience 

  • 7-10 years of experience in AI/ML, data science, or software engineering, with at least 5 years in a team lead or managerial capacity 
  • Proven track record of delivering end-to-end AI/ML solutions in production
    environments, preferably within data centre, infrastructure, or industrial sectors

  • Deep expertise in Generative AI, LLMs, NLP, and deep learning with hands-on
    experience in prompt engineering and model deployment

  • Strong Python skills and familiarity with ML frameworks (TensorFlow, PyTorch, etc.)
    Experience with cloud platforms, preferably Azure AI ecosystem (Azure OpenAI,
    Cognitive Services, ML Studio)
  •  Ability to balance technical depth with strategic vision in a complex, high-growth organisation

 

What We Offer

  • Competitive salary package aligned with your professional experience.
  • Health Insurance. 
  • Opportunity for professional growth and development. 
  • Continuous training and learning opportunities.
  • A dynamic, professional, and collaborative work environment in Mumbai, with a diverse and inclusive team that values innovation and excellence. 

If you have the profile we’re looking for, apply for the opportunity to join an excellent team and contribute to the success of a fast-growing international company.

Role Details

Company: CTS Group

Location: Mumbai, India, Asia

Location Type: Onsite

Employment Type: Full-time Employee

Salary: INR 26,00,000 - INR 45,00,000

Apply Now
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