To help clients grow revenue efficiently by developing and applying machine learning models, NLP techniques, and deep learning methods to solve complex business problems
Requirements
- 3+ years of experience working with Azure Machine Learning Services/Studio
- Expertise in data cleansing, feature engineering, model training and testing, and MLOps
- Experience using libraries such as pandas, NumPy, scikit-learn, and TensorFlow
- Strong programming skills in Python or R, with a focus on model training and integration
- Experience with classification, regression, and NLP best practices
- Familiarity with AI deployment pipelines and cloud-based solutions, specifically Azure
Responsibilities
- Develop and implement Azure machine learning models for business applications such as forecasting, segmentation, conversion scoring, churn prediction, and scheduling optimization
- Design, validate, and optimize AI-driven solutions using machine learning, NLP, and generative models to support business decision-making processes
- Train, validate, and iterate on models to ensure optimal performance and alignment with business goals
- Lead the development and deployment of machine learning models, ensuring scalability, performance, and reliability
- Fine-tune and optimize AI models to improve accuracy and efficiency
- Conduct experiments and apply non-experimental methods to quantify the impact of AI solutions
Other
- Education: Bachelor’s degree in Computer Science, Data Science, or a related field, or equivalent experience
- Excellent problem-solving skills with a demonstrated ability to innovate and troubleshoot complex issues
- Strong communication skills, with the ability to translate technical information to non-technical audiences
- Unlimited PTO
- Paid Parental Leave
