What You’ll Do:

• Design, implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value.
• Collaborate with data product managers, software engineers, and SMEs to identify AI/ML opportunities for improving process efficiency.
• Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis.
• Monitor and improve model performance through data enhancement, feature engineering, experimentation, and evaluation.
• Stay ahead of the curve by keeping up-to-date with the latest advancements in AI/ML and influencing their application in the life sciences industry.
• Mentor junior engineers and foster a culture of continuous learning and improvement.

What We’re Looking For:

• 10+ years of experience in AI/ML engineering, with a proven track record of handling complex projects.
• Expertise in Causal AI, Reinforcement Learning, Generative AI, NLP, Computer Vision, or Sequential Models.
• Strong programming skills in Python, Scala, Go, Rust, or similar languages.
• Experience with MLOps platforms (e.g., Kubeflow, MLFlow) and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Familiarity with GenAI tools like Langchain, LlamaIndex, and open-source Vector DBs.
• An advanced degree in Computer Science, Machine Learning, or a related field.
• Experience in the life sciences domain is a plus.