ML Infrastructure Engineer
At CueIn, we are building a conversation interaction analysis platform that superpowers CX operations with real time mining and observability into conversation transcripts to enable better customer support across chat bot, live chat, voice bot, voice call, cases and more.
CueIn was founded by a caring group of people passionate about conversations and the team had built AI and ML products at Salesforce, Uber, Google and Facebook. We're building for the long term and at CueIn we believe in being customer obsessed and focus on efficient execution while fostering a culture that encourages diversity of ideas and having a safe and inclusive workspace for everyone.
We are proud to be backed by Lightspeed Venture Partners, Khosla Ventures, and Webb Investment Network. Additional investors include industry leaders at ServiceNow, Salesforce, and Drift and former leaders at Google, VMWare and Airbnb.
About this opportunity
As a Machine Learning Infrastructure Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure necessary for the successful deployment and operation of machine learning models as well as ensuring that the infrastructure can handle large amounts of data and support real-time inference.
In this role, you will work closely with the founders and the founding team of engineers and data scientists to develop and deploy novel AI and NLP technology. You will also be responsible for ensuring that our systems are scalable, reliable, and performant, and for identifying and addressing technical challenges as they arise.
What you’ll do
Design, implement, and maintain scalable and performant infrastructure for training and deploying machine learning models
Develop and optimize processes for data preparation, model training, and model deployment.
Collaborate with data scientists and engineers to understand their requirements and provide solutions that meet their needs.
Keep up-to-date with the latest developments in machine learning research and technology, and incorporate these into the company's systems as appropriate
What you’ll need
Strong experience with cloud computing platforms such as AWS, Azure, or GCP
Knowledge of machine learning frameworks, such as TensorFlow, PyTorch, or Keras
Familiarity with data engineering and data science tools, such as SQL, Pandas, or scikit-learn
Strong programming skills in languages such as Python, Java, or C++
Excellent communication and collaboration skills, with the ability to work effectively in a team environment
Experience with data pipelines and data management and comfortable working with large datasets
At CueIn, we don’t all look alike. We celebrate diversity across all backgrounds, skill sets, cultures, and experiences. We offer flexible family-friendly, work-from-anywhere arrangements. We offer a competitive salary and equity package, benefits plan, and unlimited PTO. We are committed to supporting the personal and career growth of everyone at the company. Join us to shape the future of conversational AI.
CueIn is an Equal Opportunity Employer and we are committed to diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodation for individuals with disabilities. If you would like to request any accommodations from application through to interview, please contact us at firstname.lastname@example.org