Senior Machine Learning Engineer

Location Details: India - Remote

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

Join our Team

If you have a strong curiosity about machine learning and a desire to impact millions of small businesses, consider joining GoDaddy's Data and Artificial Intelligence team as a Senior Machine Learning Engineer. In this role, you will be responsible for developing and implementing advanced machine learning models for Pricing and Generative AI initiatives. Build APIs to deliver predictions to our customers in real-time and in batch modes. You will work closely with ML scientists to develop complex ML pipelines to solve high-impact problems. You will also collaborate with other platform teams will be vital to guarantee the efficiency and dependability of our ML solutions!

What you'll get to do...

• Design, develop, and deploy machine learning models for Pricing and Generative AI projects using Python, TensorFlow, PyTorch, and other ML frameworks
• Build APIs to serve predictions to our customers in real-time and in batch modes, using AWS, Docker and other cloud technologies
• Monitor, fix, and optimise the performance, accuracy, and reliability of our ML solutions using logging, metrics, and dashboards
• Collaborate with other platform teams to ensure the quality and reliability of our ML solutions
• Research and evaluate new ML techniques and technologies to improve our existing solutions and explore new opportunities
• Mentor junior machine learning engineers and provide technical mentorship and feedback
• Establish standard methodologies for ML model development and deployment

Your experience should include...

• 7+ years of industry experience in a Software Engineering role
• 4+ years of experience in machine learning engineering or related roles
• Proficient in Python and familiarity with other programming languages like JavaScript
• Experience in building, deploying, and monitoring ML models in production using AWS ecosystem, especially ML related services such as Sagemaker
• Experience in building and maintaining APIs for ML model serving using tools such as Flask, FastAPI, Django, etc
• Ability to work independently and collaboratively with multi-functional teams
• Excellent communication and presentation skills
• Experience in writing unit tests, integration tests, and documentation for ML code
• Experience with software engineering standard processes, such as version control, code review, CI/CD, etc

You might also have...

• Knowledge of machine learning algorithms, tools, and techniques, such as supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc
• Experience in working with large-scale and complex data sets
• Experience in applying machine learning to domains such as e-commerce, finance, health care, etc
• Experience in using ML tools such as Mlflow, Kubeflow, Airflow, etc. for model lifecycle management
• Experience with common ML libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn
• Experience in conducting ML experiments and analysis using tools such as Jupyter, Colab, etc
• Familiarity with prompt engineering and large language models (LLM) is a plus

We've got your back...  We offer a range of benefits that may include paid time off, retirement savings (e.g., 401k, pension schemes), incentive eligibility, equity grants, participation in an employee stock purchase plan, and other family-friendly benefits including parental leave. GoDaddy’s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.   

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to [email protected]. 

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.