AI Developer

Position Overview

We are looking for a skilled and innovative AI Developer to design, develop, and deploy AI-powered applications and services. The ideal candidate will have hands-on experience with machine learning, deep learning, and natural language processing, and will be responsible for building intelligent systems that solve real-world problems. This role requires strong programming skills, a solid understanding of AI/ML algorithms, and the ability to work collaboratively in a fast-paced environment.

Employment Type

Full time

Organization Overview

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 39,000 employees 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 globe.

Responsibilities

• Develop and implement machine learning models and algorithms for classification, regression, clustering, recommendation, and more.
• Build and maintain data pipelines for training and inference workflows.
• Collaborate with data scientists, product managers, and software engineers to integrate AI models into production systems.
• Optimize model performance and scalability for real-time and batch processing.
• Conduct experiments, evaluate model performance, and iterate based on results.
• Stay up to date with the latest research and advancements in AI/ML and apply them to practical use cases.
• Document code, processes, and model behavior for reproducibility and compliance.

Basic Requirements

1. Programming Languages

• Python: Core language for AI/ML development. Proficiency in libraries like:
  • NumPy, Pandas for data manipulation
  • Matplotlib, Seaborn, Plotly for data visualization
  • Scikit-learn for classical ML algorithms
• Familiarity with R, Java, or C++ is a plus, especially for performance-critical applications.

2. Machine Learning & Deep Learning Frameworks

• Experience building models using the following:
  • TensorFlow and Keras for deep learning
  • PyTorch for research-grade and production-ready models
  • XGBoost, LightGBM, or CatBoost for gradient boosting
• Understanding of model training, validation, hyperparameter tuning, and evaluation metrics (e.g., ROC-AUC, F1-score, precision/recall).

3. Natural Language Processing (NLP)

• Familiarity with:
  • Text preprocessing (tokenization, stemming, lemmatization)
  • Vectorization techniques (TF-IDF, Word2Vec, GloVe)
  • Transformer-based models (BERT, GPT, T5) using Hugging Face Transformers
• Experience with text classification, named entity recognition (NER), question answering, or chatbot development.

4. Computer Vision (CV)

• Experience with:
  • Image classification, object detection, segmentation
  • Libraries like OpenCV, Pillow, and Albumentations
  • Pretrained models (e.g., ResNet, YOLO, EfficientNet) and transfer learning

5. Data Engineering & Pipelines

• Ability to build and manage data ingestion and preprocessing pipelines.
• Tools: Apache Airflow, Luigi, Pandas, Dask
• Experience with structured (CSV, SQL) and unstructured (text, images, audio) data.

6. Model Deployment & MLOps

• Experience deploying models as:
  • REST APIs using Flask, FastAPI, or Django
  • Batch jobs or real-time inference services

Salary

• Not specified

Location Type

• Not specified