AI Engineer

3 weeks ago

Navi Mumbai, India Holcim Global Digital Hub Full time

Holcim

As the world’s global leader in building solutions, Holcim is reinventing how the world builds.

We operate four business segments: Cement, Aggregates, Ready-Mix Concrete and Solutions & Products, and hold leading positions in all regions of the globe, with around 60,000 employees in around 60 countries. Holcim experts solve the challenges that customers face around the world, whether they are building individual homes or major infrastructure projects. Demand for our materials and solutions is driven by global population growth, urbanization, improved living standards and sustainable construction.

We are listed at the Swiss stock exchange SIX and Euronext.



Job description

Role - AI Engineer

Location : Airoli - Navi Mumbai (Hybrid)

Experience - 1-2 Years


Summary:

The AI Engineer position will be responsible for executing AI initiatives throughout the organization, requiring a deep understanding of AI technologies, the implementation of advanced AI models, and the capability to transform intricate technical insights into actionable business strategies. In this role, the highly skilled and motivated AI Engineer assumes a pivotal position in the development and deployment of cutting-edge AI models, collaborating closely with data scientists, architects, the AI Center of Excellence (AI CoE), software engineers, and product managers to enhance the organisation's products and services.


Education:

  • Bachelor degree or above in Computer Science, Artificial Intelligence, Machine Learning, or a related


Technical / functional skills:

  • Extensive experience in developing and implementing AI models, with a deep understanding of advanced deep learning techniques, including GPT, VAE, GANs, and seamless integration with the Langchain framework. Proficiency in utilising generative models for diverse tasks, ranging from text generation and image synthesis to data augmentation
  • Proficiency in Python and experience with machine learning libraries and frameworks like TensorFlow, PyTorch
  • Strong knowledge of data structures, algorithms, and software engineering principles.
  • Strong experience with cloud-based platforms and services, such as AWS, GCP for deploying and scaling AI solutions.
  • Familiarity with data visualisation tools and libraries, such as Matplotlib, Seaborn, or Plotly.
  • Knowledge of software development methodologies, such as Agile or Scrum.

Behavioral competencies:

  • Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.
  • Strong communication skills, enabling you to effectively convey complex technical concepts to a diverse audience.

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