AI Engineering Specialist – Level 1
AstraZeneca
full-time
Posted on:
Location Type: Hybrid
Location: Chennai • India
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About the role
- Build, develop, and lead a team of high-performing Data Scientists
- Coordinate with cross-functional teams including Data Science & AI, Commercial, Medical, and IT globally
- Research and apply the latest ML algorithms with a focus on Generative AI techniques for content creation and data augmentation
- Apply ML models, feature engineering, and interpret model outcomes for business stakeholders
- Integrate structured and unstructured data into knowledge bases
- Design and create AZ knowledge graph
- Collaborate with data teams to demonstrate data science for research questions
- Partner with Commercial teams to build scalable data science solutions using Generative AI
- Drive collaborations with local data science companies
- Integrate data to build personalized patient journeys using LLMs and Diffusion Models
- Fine-tune LLMs and vision models for commercial problems
- Develop strategies for responsible use of Generative AI, including bias detection
- Optimize LLM performance through prompt engineering techniques
Requirements
- BS (or equivalent experience) in mathematics, computer science, engineering, physics, statistics, computational sciences, or related quantitative discipline
- Approximately 8-10 years of experience in core ML and AI projects
- Prior experience/understanding with 3-5 years' experience in foundational tools
- Python
- Jupyter notebook
- Scikit-learn
- SQL
- StreamLit
- Amazon Bedrock
- Jumpstart
- OpenAI
- Langchain
- LlamaIndex
- Good knowledge of cloud platforms (GCP, Azure, AWS)
- Deep Learning tools: Pytorch/Tensorflow, HuggingFace
- Classical methods including classification and regression algorithms like k-means clustering, support vector machines, random forests
- Fully Connected Architecture, Convolutional Networks, RNN/LSTM
- In-depth knowledge of LLMs like GPT, Claude, Gemini, Falcon, LLAMA
- Large pre-trained image models like Inception, Mobilenet, YOLO; generative image models like Stable Diffusion
- Experience with models/frameworks for text generation, image synthesis, data augmentation
- Ability to design and optimize prompts for LLMs
Benefits
- In-person working gives us the platform we need to connect, work at pace and challenge perceptions
- Dynamic environment fosters collaboration among the brightest minds
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learninggenerative AIfeature engineeringLLMsprompt engineeringdeep learningclassification algorithmsregression algorithmsdata augmentationdata integration
Soft Skills
leadershipcollaborationcommunicationstrategic thinkingproblem-solvingcross-functional coordinationteam buildingresearch skillsstakeholder engagementbias detection