Overview of salaries statistics of the profession "Marketing Project Engineer in "

DESCRIPTIONAWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.The Generative Artificial Intelligence (AI) Innovation Center team at AWS provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies leveraging cutting-edge generative AI algorithms. As an Applied Scientist, you'll partner with technology and business teams to build solutions that surprise and delight our customers. We're looking for Applied Scientists capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.Key job responsibilities- Collaborate with scientists and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges- Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership- Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder- Provide customer and market feedback to Product and Engineering teams to help define product direction.A day in the lifeHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. What if I don't meet all the requirements?That's okay! We hire people who have a passion for learning and are curious. You will be supported in your career development here at AWS. You will have plenty of opportunities to build your technical, leadership, business and consulting skills. Your onboarding will set you up for success, including a combination of formal and informal training. You'll also have a chance to gain AWS certifications and access mentorship programs. You will learn from and collaborate with some of the brightest technical minds in the industry today.We are open to hiring candidates to work out of one of the following locations:Melbourne, VIC, AUSBASIC QUALIFICATIONS- 2+ years of building machine learning models or developing algorithms for business application experience- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field- Knowledge of programming languages such as C/C++, Python, Java or Perl- Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)PREFERRED QUALIFICATIONS- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field- Working knowledge of generative AI and hands on experience in prompt engineering, deploying and hosting Large Foundational Models- Hands on experience building models with deep learning frameworks like Tensorflow, PyTorch, or MXNetAcknowledgement of country:In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.IDE statement:Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected attributes.Salary: . Date posted: 03/19/2024 10:15 PM

DESCRIPTIONAWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.Key job responsibilities- Collaborate with our applied and data scientists to build robust and scalable Generative AI solutions for business problems- Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs- Work hands on to build scalable cloud environment for our customers to label data, build, train, tune and deploy their models- Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem- Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes- Work closely with account teams, applied/data scientist teams, and product engineering teams to drive model implementations and new algorithmsAbout the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. What if I don't meet all the requirements?That's okay! We hire people who have a passion for learning and are curious. You will be supported in your career development here at AWS. You will have plenty of opportunities to build your technical, leadership, business and consulting skills. Your onboarding will set you up for success, including a combination of formal and informal training. You'll also have a chance to gain AWS certifications and access mentorship programs. You will learn from and collaborate with some of the brightest technical minds in the industry today.We are open to hiring candidates to work out of one of the following locations:Melbourne, VIC, AUSBASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent with 3+ years of relevant working experience- Experience with machine learning fundamentals, with working knowledge of Python and experience with deep learning frameworks such as Pytorch, TensorFlow, JAX or MXNet- 3+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processingPREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalent with 5+ years of relevant working experience, or Master's degree in computer science or equivalent with 3+ years of working experience- Experiences related to machine learning, deep learning, NLP, CV, GNN, or distributed training- Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2- Working knowledge of generative AI and hands on experience in prompt engineering, deploying and hosting Large Foundational ModelsAcknowledgement of country:In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.IDE statement:Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected attributes.Salary: . Date posted: 03/21/2024 10:06 PM

You will be accountable for spearheading brand and advertising activities arising from the marketing and communications plan, organisational strategy, and operational services to support service marketing and brand engagement. You will be relied upon to enhance Uniting AgeWell's profile as well as the maintenance of brand voice, integrity, and reputation to contribute to the growth of the organisation. Your role will include:Working in the Marketing and Community Relations team to contribute specialist and strategic brand and marketing advice.Production of brand executions and advertising across a range of mediums and for various audiences.Development of local area brand and advertising campaigns to support service growth.Creation of briefs for brand activities and advertising that form the basis of compelling campaigns and promotions.Co-creation and maintenance of an annual plan for advertising to achieve agreed goals and timelines.Project management and responsibility for Uniting AgeWell's annual calendar of advertising commitments including print, radio, TVC, cinema, outdoor and directories.Copywriting and conceptualization of brand and advertising campaigns to drive service growth and brand awareness in all regions.Contribution to the smooth operation of the Marketing and Community Relations department.Developing the skills and capabilities of team members through coaching, training, and mentorship to ensure continuous growth and excellence.If you have worked in a large service organisation and have a passion for making a difference in the aging community, this is the role for you.As the successful applicant, you will have:A tertiary qualification in marketing, communications, or other relevant discipline.Experience in the development and deployment of successful customer-centred brand and advertising programs for a large service organisation.Demonstrated evidence of conceptualising, writing and producing brand executions and advertising across a range of mediums and audiences.Excellent communication skills and a strong creative approach including effective photographic and art direction skills.Excellent organisational, project management and problem-solving skills.Demonstrated capacity to manage competing priorities effectively.Proficiency in MS Teams, Office 365, excel, powerpoint, online content planning and collaboration tools.Enthusiasm for interacting effectively with a diverse range of people and experience in maintaining effective relationships with key stakeholders to successfully deliver organisational outcomes within a defined timeline.Due to the nature of this role, the successful applicant will be subject to comprehensive reference and background checking before employment, that will includeA current Victorian Drivers' License and your own car, noting some travel (including interstate) may be required. Full Australian working rightsA current Police Records Check or be willing to undertake this processA current Working With Children's Check (VIC)Current flu and COVID-19 vaccination and be prepared to meet this ongoing requirement