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Job Description

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.



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