Senior AI Engineer

Job Summary

The Senior AI Engineer will develop and deploy AI products, generating business and scientific insights through advanced data science techniques. This role involves building models using both foundational and cutting-edge methods, processing structured and unstructured data, and collaborating closely with internal stakeholders to solve complex problems in drug development, manufacturing, and supply chain.

Key Responsibilities:

Hands-on development (70%) of Gen AI applications and ML models (classification, regression, clustering, NLP) to drive actionable insights.

Leadership (30%): mentor AI scientists, plan and supervise technical work, collaborate with stakeholders.

Work within an agile framework and in cross-functional teams to align AI solutions with business goals.

Engage internal stakeholders and external partners for the successful delivery of AI solutions.

Qualifications Required:

Bachelor&aposs in operations research, mathematics, computer science, or related quantitative field.

Advanced expertise in Python and familiarity with database systems (e.g. SQL, NoSQL, Graph).

Proficiency in Gen AI tools:

LLMs/transformer models

AWS Bedrock

SageMaker

LangChain

Proficiency in ML libraries sklearn, pandas, TensorFlow/PyTorch

Experience productionizing GenAI services and working with complex datasets.

Strong understanding of software development, algorithms, optimization, and scaling.