Senior Manager - AI ML
Senior Manager - AI ML
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Job Description
We are using technology and automation to disrupt the traditional food industry. We are focused on building an operating system for Cloud Kitchens using the most innovative technologies to provide the best food experiences for our customers. You will enjoy working with us if:
- You are passionate about using technology to solve customer problems
- You are a software craftsman or craftswoman who is obsessed with high quality software
- You have a flair for good design and architecture
- You are unafraid of rearchitecting or refactoring code to improve it
- You are willing to dive deep to solve complex software issues
- You are a teacher and mentor
We are looking for someone to lead a team of talented Data Scientists in solving the toughest problems in food tech today. The role would require someone who has led similar teams and created and deployed highquality data ML and AI solutions at scale. This role will involve handson work and daily working sessions with the data scientists to create improve and debug ML models across multiple business domains. The person should be able to visualize the
highlevel picture and give direction while also not being afraid to get their hands dirty and remove roadblocks for team members.
Responsibilities:
- Provide strategic direction and oversee the of machine learning initiatives to address specific business needs.
- Lead and manage a team of Machine Learning engineers in designing developing and implementing machine learning models.
- Collaborate with PMs and crossfunctional teams to understand requirements and strategize innovative solutions
- Ensure the development and maintenance of robust scalable and reusable code with proper version control.
- Operate in a handson capacity when necessary.
Requirements:
- Demonstrated track record in designing building and deploying ML models with a focus on accuracy and scalability.
- Strong handson experience in ML algorithms libraries like Pytorch Tensorflow/Keras and ScikitLearn.
- Solid understanding of AI/ML techniques related to Regression Classification Gradient Boosting NLP and Computer Vision.
- Good knowledge of using Optimization with OR Tools. Strong handson skills in Data Analytics Feature Engineering and EDA/Visualization using libraries like Pandas Matplotlib Plotly etc.
- Understanding of Dockerization and REST APIs.
Goodtohave:
- Strong stakeholder management skills.
- Experience in building TimeSeries Forecasting Models and Market Mix Models.
- Interest in improving ML fluency in the larger organization and setting best practices.
Remote Work :
No
Employment Type
Full Time
