At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
Position: Full Stack Developer– Software Product Engineering
Organization Overview:
The Software Product Engineering organization (SPE) delivers innovative 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. She/He will partner with individuals across the Lilly Research Laboratories Information & Digital Solutions (LRL IDS) and SPE organizations to deliver solutions and enable tech supporting a wide range of software and scientific processes. Help design and create technical front-end and 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 preprocessing, 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 (bachelor’s) degree in computer science, data science, software engineering, or a related field.
- Proficiency in Python, with extensive experience in libraries such as TensorFlow, PyTorch, or Scikit-learn.
- Solid understanding of machine learning concepts, algorithms, and best practices for model training and evaluation.
- Experience in prompt engineering techniques for generative AI models, including LLMs (Large Language Models).
- Proficiency with model deployment frameworks such as Flask or FastAPI for building APIs around machine learning models.
- Familiarity with data manipulation and analysis using tools like Pandas, NumPy, and SQL.
- Proven experience with cloud platforms, particularly AWS, including services like SageMaker, Lambda, EC2, and RDS.
- Good understanding of data storage solutions like PostgreSQL, DynamoDB, and Redis, with a focus on supporting machine learning workloads.
- Experience with version control systems, preferably Git, for collaborative development.
Additional Skills/Preferences:
- Strong understanding of data visualization tools and techniques to effectively communicate model results and insights.
- Familiarity with MLOps practices and tools for managing machine learning lifecycle and deployment.
- Proficiency in natural language processing (NLP) techniques and frameworks, with experience in applications like text classification, language generation, and sentiment analysis.
- Experience with Docker and containerization techniques for deploying machine learning models.
- Excellent teamwork, self-management, and problem-solving abilities.
- Strong communication skills, both oral and written, with the ability to convey complex technical concepts to non-technical stakeholders.
- Experience working in Agile methodologies and contributing to iterative development processes.
- Familiarity with frontend technologies such as JavaScript, React, or Angular is a plus.
Location: Bangalore, India
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
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