Senior principal- Data, AI and ML

Melbourne, Victoria, Australia

Infosys Singapore & Australia

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Infosys Consulting is the worldwide management and IT consultancy unit of the Infosys Group (NYSE: INFY), global advisor to leading companies for strategy, process engineering and technology-enabled transformation programs.

We partner with clients to design and implement customized solutions to address their complex business challenges, and to help them in a post-modern ERP world. By combining innovative and human-centric approaches with the latest technological advances, we enable organizations to reimagine their future and create sustainable and lasting business value.

A pioneer in breaking down the barriers between strategy and execution, Infosys Consulting delivers superior business value to its clients by advising them on strategy and process optimisation as well as IT-enabled transformation. To find out how we go beyond the expected to deliver the exceptional, visit us at www.infosysconsultinginsights.com Infosys Consulting - a real consultancy for real consultants.

Requirements

Job Title: Senior Principal of Data, Artificial Intelligence and Machine Learning

Location: Melbourne

Job Type: Full time Permanent

Job Overview:

The Senior Principal of Data, Artificial Intelligence and Machine Learning will lead the strategic vision and execution of AI and ML initiatives within the organization. This role requires a deep understanding of AI technologies, strong leadership skills, and the ability to collaborate across departments to drive innovation and enhance business outcomes.

Role Summary

  • Lead and manage Data, and AI Consulting projects from inception to completion, ensuring successful delivery within budget and timeline constraints.
  • Collaborate with clients to understand their business goals and challenges and develop AI strategies and roadmaps to address their needs.
  • Identify and evaluate AI opportunities within client organisations, conducting feasibility studies and assessing potential risks and benefits.
  • Conduct thorough data analysis and data engineering tasks to prepare and preprocess data for AI model development.
  • Provide guidance and mentorship to junior consultants, fostering their professional growth and development in AI and consulting domains.
  • Stay up to date with the latest advancements in AI technologies and methodologies, and proactively identify opportunities to leverage them for client projects.
  • Collaborate with cross-functional teams, including data scientists, data engineers, and business analysts to ensure seamless integration and implementation of AI solutions.
  • Build and maintain strong relationships with clients, acting as a trusted advisor and thought leader in Data, AI, and Consulting.

Key Responsibilities:

Strategic Leadership:

  • Develop and implement a comprehensive AI and ML strategy aligned with the organization’s goals.
  • Identify opportunities for leveraging AI and ML to improve products, services, and operational efficiency.

Team Management:

  • Lead, mentor, and grow a high-performing team of data scientists, machine learning engineers, and AI researchers.
  • Foster a culture of innovation, collaboration, and continuous learning within the team.

Project Oversight:

  • Oversee the design, development, and deployment of AI and ML models and solutions.
  • Ensure projects are delivered on time, within scope, and meet quality standards.

Collaboration:

  • Work closely with cross-functional teams, including product management, engineering, and business development, to integrate AI solutions into existing systems and processes.
  • Collaborate with stakeholders to understand business needs and translate them into technical requirements.

Research and Development:

  • Stay abreast of the latest advancements in AI and ML technologies and methodologies.
  • Drive research initiatives to explore new AI applications and improve existing models.

Performance Monitoring:

  • Establish metrics and KPIs to evaluate the performance and impact of AI initiatives.
  • Analyze results and iterate on models and strategies based on data-driven insights.

Compliance and Ethics:

  • Ensure that AI and ML practices adhere to ethical standards and regulatory requirements.
  • Promote responsible AI usage within the organization.

Qualifications:

Education:

  • Master’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Experience:
  • 15+ years of experience in AI and ML, with at least 10 years in a leadership role.
  • Proven track record of successfully delivering AI and ML projects in a corporate environment.

Technical Skills:

  • Strong proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).

Leadership Skills:

  • Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Strong problem-solving skills and a strategic mindset.

Certifications:

  • Relevant certifications in AI, ML, or data science are a plus.

What We Offer:

  • Competitive salary and benefits package.
  • Opportunities for professional development and continuous learning.
  • A dynamic and inclusive work environment that values innovation and creativity.

Benefits

We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion, or belief. We make recruiting decisions based on your experience, skills, and personality. We believe that employing a diverse workforce is the right thing to do and is central to our success. We offer you great opportunities within a dynamically growing consultancy.

You will elaborate and deliver best practice solutions and will be able to further develop your solution design, implementation, and project 2 management skills.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Azure Big Data Computer Science Consulting Data analysis Engineering GCP Google Cloud Hadoop Java KPIs Machine Learning ML models Python PyTorch R Research Responsible AI Scikit-learn Spark TensorFlow

Perks/benefits: Career development Competitive pay

Region: Asia/Pacific
Country: Australia

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