The company is looking to infuse cutting-edge AI/ML/GenAI into pharmacy benefits and needs a Senior Machine Learning Engineer to design and implement complex AI systems.
Requirements
- Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.
- Strong proficiency in Python and familiarity with ML libraries such as PyTorch.
- Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies
- Familiarity with cloud platforms such as AWS or Azure.
- Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc.
- Experience developing and fine-tuning prompts on any of the GenAI services
- Experience working with microservices/an API-based application paradigm.
Responsibilities
- Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
- Develop and maintain backend services using Python, focusing on AI-driven applications.
- Design and implement APIs for seamless integration with AI models and services.
- Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
- Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services.
- Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models.
- Document and communicate development processes, system designs, and architectural decisions.
Other
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Minimum 6+ years of experience in industry with a strong focus on ML solutions development and production deployment.
- Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
- Passion for customer, innovation, product quality, service excellence, and test engineering
- The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.
- Good written communication skills that enable collaboration in a remote environment.
