- Designing, developing, and optimizing machine learning models to solve specific business problems. This includes feature engineering, model selection, hyperparameter tuning, and performance evaluation.
- Working with large datasets, ensuring data quality, cleaning, and preprocessing.
- Deploying machine learning models into production environments.
- Develop APIs or integrate models with existing software applications.
- Ensuring models are scalable and perform well in a production environment, considering factors such as latency, throughput, and resource utilization.
- Conducting experiments to validate model assumptions, fine-tune algorithms, and evaluate the performance of different approaches.
- Working closely with cross-functional teams, including data scientists, software engineers, product managers, and business analysts, to understand requirements and deliver solutions.
- Documenting models, processes, and systems to ensure clarity and maintainability.
- Staying up-to-date with the latest developments in machine learning, AI, and related fields. Apply new techniques and tools to improve models and processes.
- Monitoring models in production to ensure they perform as expected over time. Retrain models as needed and address any issues that arise.
- 5+ years of demonstrated ability as a Python developer
- 5+ years of demonstrated ability working on AI/ML use cases
- Experience working with both customers and internal teams to collect requirements, troubleshoot issues, and identify new uses cases
- Dynamic team member who will both teach and learn from all of us on the Growth Team
- Problem solver who can interpret sophisticated problem statements, boil them down into simple solutions, and collaborate with customers and other teams
- Comfortable in both a business and technical context, working with executives or talking shop with technical audiences
- Open to giving and receiving feedback, tolerate failure and are passionate about making clients successful
- Strong knowledge of LLMs provided by Cloud Providers (AWS, Azure, GCP)
- Strong knowledge of LLMs provided by private companies (open.ai, Anthropic, etc)
- Strong knowledge of RAG
- Strong knowledge of building AI based chatbots and incorporating Agent/Assistant capabilities into the chatbot
- Must have previous DevOps experience
- Must have previous AWS experience
- Remote flexible work options
- Employee assistance program (EAP)
- Medical, dental & vision benefits supplement
- Life & supplement life and Critical illness insurance
- Health Savings Account (HSA), Flexible Savings Account (FSA)