Machine Learning Engineer

Position Summary:

Join our mission toinfusecutting-edgeAI/ML/GenAIintopharmacy benefits as aMachine Learning Engineer.We are looking forasoftware engineer with machine learningexpertiseto join us in expandingourAI capabilities, enablingincreased productivity and magical experiences in our products and services.

In thisroleyou will be expected to design and implement complex AI systems thatleverageML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-basedQnA.The ideal candidate should be passionate about applying AI/ML concepts to difficult problems anddevelopscalable solutions. Wewantpeople who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software thatleveragesLarge Language Models (LLM), Multimodal LanguageModels(MLM),and other ML models and techniquesto buildamazingcapabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growthstartupand we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare.

Responsibilities:

• Developand productionize machine learning (ML) solutions in the fields of Document understanding, Search andQnA,GenAI,Virtual Agents, etc.

• Develop andmaintainbackend services using Python, focusing on AI-driven applications.

• Design and implement APIs for seamless integration with AI modelsand services.

• Developtools for large-scale data processing and ETLand contribute to extracting insights from data to help guide ML systems development

• Participate in code reviews, testing, and quality assurance processes.

• Troubleshoot and resolve technical issues related to AI model, integration,deploymentand backend services.

• Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.

• Documentandcommunicatedevelopment processes and implementation details with peers and supervisors

• Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.

RequiredQualifications:

• Bachelor's orMaster's degree inComputer Science, Machine Learning, or a related quantitative field.

• 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus.

• Goodunderstanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boostedor standard decisiontrees, RAG,etc.

• Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.

• Proficiencyin Python and familiaritywith ML libraries such asPyTorch.

• Familiarity withGenAIservices such as OpenAI GPT, Anthropic Claude, Google Gemma etc.Some experience indeveloping and fine-tuning prompts on any of theGenAIservicesis a plus.

• Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.

• The ability to work collaborativelyacross multiple disciplinesin an extremely fast-paced, startup environment.

• Good written communication skills that enable collaboration in a remote environment.