Lead Consultant

4 days ago

Melbourne, Victoria, Australia Infosys Full time $120,000 - $150,000 per year
About Infosys:

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Visit to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.

Role – Full stack Developer python GenAI
Location: Melbourne, Victoria 
Salary: AUD Annual Gross)

Short Description:  
In the role of Senior Consultant(Generative AI Engineer), you will be expected to design, develop and implement generative AI models and algorithms for bespoke applications in the mining domain. This role will interface with client and elicit technical requirements, design and develop technical components.
If your passion is to build solutions that really make a difference to enterprises, the community and your world, Infosys is the right place for you. 

Roles and Responsibilities:
For you to be successful in obtaining this role you will need to possess the following:
  • Must be able to refine requirements based on discussion with client.
  • Estimate for managing deliverables based on requirements
  • Develop, unit test and support applications using Python.
  • Ability to design and develop algorithms for generative models using deep learning techniques.
  • Experience in working with cross-functional teams to integrate generative AI solutions into existing workflow systems.
  • Work with a global team in agile environments.
  • Ensure high performance of applications and provide support.

Skills /Competencies:

Essential:
  • Tertiary Qualification in IT / Computer Science / related discipline.
  • At least 6 years of relevant experience as a full stack developer
  • At least 4 years of relevant experience in machine learning and deep learning algorithms
  • Extensive experience with Python Django and ReactJS
  • Highly experienced with SQL databases
  • Highly experienced with CI/CD pipelines
  • AWS hosting and support (at least 1-year experience in S3, EC2, RDS)

    Preferred:
  • Prior application development experience in mining operations.
  • Ability to work in team in diverse/ multiple stakeholder environment.
  • Experience and desire to work in a Global delivery environment.
  • Knowledge of Agile software development and project management

Additional Skills:
  • Excellent customer interfacing skills.
  • Excellent written and verbal communication skills.
  • Strong attention to detail and outstanding analytical and Problem-solving skills.


All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.
 
At Infosys, we recognize that everyone has individual requirements. If you are a person with disability, illness or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment only on  or include your preferred method of communication in email and someone will be in touch.
 
Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third party vendors. In the absence of a signed agreement any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile.  All recruitment activity must be coordinated through the Talent Acquisition department.

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