AI Engineer. DDIT Dev.DSAI

Roles and responsibilities:

• As an AI engineer have the opportunity to apply your deep expertise in LLM/GenAI technologies in solving real-world healthcare challenges.
• Your main responsibility will be collaborating closely with Drug Development teams to prototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale.
• Accountable for deploying the generative AI solutions.
• Delivery of projects in close collaboration with platform and business teams

Essential Requirements:

Education:

• Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field.

Experience / Professional requirements

• 5+ years of experience in NLP, machine learning, or AI development, with a focus on language models.
• Strong programming skills in Python, and experience with libraries such as TensorFlow, PyTorch, Hugging Face, or spaCy.
• Hands-on experience with deploying machine learning models into production environments (e.g., using Docker, Kubernetes, AWS, Azure).
• Familiarity with prompt engineering techniques and fine-tuning large language models.
• Knowledge of MLOps practices and tools for monitoring model performance.
• Understanding of AI ethics and compliance issues, including bias mitigation and privacy concerns.
• Customize pre-trained language models for specific use cases by fine-tuning them on domain-specific datasets.
• Experiment with hyperparameters, model architectures, and training techniques to optimize performance.
• Curate, preprocess, and augment large datasets to improve the quality and generalization of language models.
• Handle tasks related to data cleaning, labeling, and tokenization.
• Design and optimize prompts to guide the model's responses for various tasks.
• Apply prompt tuning, zero-shot, and few-shot learning techniques to improve model accuracy.
• Deploy models in production environments, ensuring they meet performance and scalability requirements.
• Stay updated on industry trends, compliance, and responsible AI guidelines.

Preferred Skills:

• Experience with generative AI models, such as GPT-3, GPT-4, AWS Bedrock Cludia or other LLMs.
• Familiarity with few-shot and zero-shot learning techniques
• Knowledge of cloud-based AI services and serverless architectures.
• Ability to work in an agile development environment and collaborate with cross-functional teams
• Life science / Pharmaceutical domain experience is a big plus

Commitment to Diversity & Inclusion: We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.