The Software Product Engineering organization (SPE) delivers creative tech solutions to aid, accelerate, and support work done across Lilly. This role is targeted for a software engineer who enjoys working with a cross-functional team, developing robust code in support of accelerating scientific processes, and thinking innovatively. Help design and create back-end solutions that meet the needs of our scientific business areas.
Key Responsibilities & Objectives:
- Collaborate with cross-functional teams to design, develop, and deploy machine learning models and algorithms in production environments, focusing on AI-driven solutions.
- Assist in data pre-processing, feature engineering, and model evaluation to ensure high-quality data and effective model performance.
- Utilize problem-solving skills to identify and rectify bottlenecks in data pipelines and model performance, ensuring optimal user experiences.
- Design and implement prompt engineering strategies for generative AI models to enhance output quality and relevance.
- Develop and optimize natural language processing (NLP) models and applications, including tasks such as text classification, sentiment analysis, and named entity recognition.
- Maintain existing machine learning applications through debugging, continuous updates, and performance optimization.
- Perform code reviews and engage in pair programming sessions to promote best practices and enhance code quality across the team.
- Document machine learning processes, model architectures, and results for knowledge sharing and compliance purposes.
- Work in an Agile environment to deliver customer value, adapting to changing project needs and priorities.
Basic Requirements & Experience Expectations:
- 5+ years of experience in software development, with at least 3 years focused on machine learning and AI.
- 4-year (bachelors) degree in computer science, data science, software engineering, or a related field.
- Proficiency in Python, w
📌 Python ML Developer- Software Product Engineering (Bengaluru)
🏢 Eli Lilly
📍 Bengaluru
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