Description

Design and implement generative AI and machine learning solutions within the MedTech, Healthcare, and Life Sciences domains.

Responsibilities

• Design, optimize, and fine-tune Large Language Models (LLMs) and NLP systems.
• Build scalable applications using frameworks like LangChain and LlamaIndex.
• Integrate LLM capabilities into applications using Azure OpenAI.
• Perform data analysis and preprocessing for training and fine-tuning language models.
• Deploy AI/ML models as services or REST APIs using Cloud or Kubernetes.

Required Skills

• 8-10 years of experience developing Data Science, AI, and ML solutions.
• Expertise in generative AI, LLMs, and NLP system design.
• Proficiency in Python and machine learning algorithms, deep learning, and generative models.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Architect-level experience with Azure Cloud Services.
• Hands-on experience productionizing models via REST API on Cloud or Kubernetes.
• Strong skills in UNIX/Linux environments and command-line tools.
• Proven ability to prioritize AI/ML use cases to optimize business processes.
• Graduate or Doctorate degree in Computer Science, AI, Neuroscience, Biomedical Engineering, or a related field.

Preferred Skills

• Specialization in Natural Language Processing.

Key Skills

Education

Bachelor's degree in Computer Science