Software Engineer

24WD84215

Job Summary: We are seeking a skilled and experienced GenAI Solution Developer to join our team. As a GenAI Solution Developer, you will be responsible for configuring and building GenAI use cases on top of the OpenAI platform. You will work closely with cross-functional teams to understand business requirements and translate them into effective AI solutions. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data analysis, with specific expertise in GenAI and OpenAI technologies.

Responsibilities:

• Collaborate with stakeholders to identify and understand business requirements and objectives for GenAI solutions.
• Configure and build GenAI use cases on top of the OpenAI platform, leveraging machine learning models and algorithms.
• Develop and implement data pipelines and workflows to preprocess and analyze data for GenAI applications.
• Apply statistical analysis and data mining techniques to extract insights and patterns from large datasets.
• Optimize and fine-tune AI models for performance, accuracy, and scalability.
• Conduct testing and validation of GenAI solutions to ensure robustness and reliability.
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate GenAI solutions into existing systems and applications.
• Stay up to date with the latest advancements in GenAI and OpenAI technologies and contribute to the continuous improvement of our AI capabilities.
• Document and communicate technical concepts, methodologies, and findings to both technical and non-technical stakeholders.

Minimum Qualification

• Bachelor's or Master's degree in computer science, Data Science, or a related field.
• Proven experience in configuring and building GenAI use cases on top of the OpenAI platform.
• Strong proficiency in artificial intelligence, machine learning, and data analysis.
• Familiarity with GenAI technologies, frameworks, and libraries.
• Solid programming skills in languages such as Python, R, or Java.
• Experience with data preprocessing, feature engineering, and model selection techniques.
• Proficiency in using machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
• Knowledge of statistical analysis, data mining, and visualization techniques.
• Strong problem-solving skills and ability to translate business requirements into effective AI solutions.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.

Preferred Qualifications:

• Experience with natural language processing (NLP) and computer vision (CV) technologies.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with big data processing frameworks like Hadoop or Spark.
• Experience with version control systems like Git.
• Publications or contributions to the AI community or relevant conferences.

Learn More

About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

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