Industry X – Machine Learning Specialist


Why Accenture? Join us to harness the transformative power of machine learning and artificial intelligence in shaping the future of diverse industries. At Accenture, you’ll be part of an innovative environment where your expertise in machine learning will help evolve our clients’ strategies and operations. You’ll collaborate within a network of professional experts, each bringing unique skills and perspectives, to deliver cutting-edge solutions and make a tangible impact every day.

Location: Turin, Milan, Rome.

Your challenges:

  • Develop and implement advanced machine learning models, with a special focus on computer vision and generative AI, to address complex challenges in various sectors.
  • Collaborate with cross-functional teams to understand client needs and integrate AI solutions into their businesses effectively.
  • Stay abreast of the latest developments in AI and machine learning, applying new techniques and methodologies such as deep learning, reinforcement learning, natural language processing, and predictive analytics.
  • Work on big data analytics, processing large datasets to extract meaningful insights and inform model development.
  • Engage in the entire lifecycle of machine learning projects, from data preprocessing and model development to deployment and maintenance.
  • Contribute to the development of AI-driven products and services, enhancing user experience and business value.
  • Provide expertise and guidance to junior team members, fostering a collaborative and innovative work environment.

Why would we choose you? This role is for the ambitious, the innovators, and the problem-solvers. To excel, you need:

  • Advanced degree in Computer Science, Statistics, Mathematics, or related fields with specialization in machine learning, artificial intelligence, computer vision, or generative AI.
  • Strong experience in machine learning and computer vision, with a deep understanding of image and video analysis algorithms.
  • Expertise in generative AI techniques, including generative adversarial networks (GANs) and variational autoencoders (VAEs).
  • Proficiency in programming languages such as Python, R, or Java, and ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Experience in handling large datasets using SQL, NoSQL databases, or big data technologies (e.g., Hadoop, Spark).
  • Knowledge of cloud platforms and services (e.g., AWS, Azure, Google Cloud) for machine learning applications.
  • Understanding of data pipelines, ETL processes, and data engineering principles.
  • Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
  • Ability to communicate complex concepts to non-technical stakeholders effectively.
  • Passion for ongoing learning in AI and machine learning fields.
  • Excellent problem-solving skills and a data-driven analytical approach.
  • Strong team player with outstanding interpersonal and communication skills.
  • Fluency in English.