AI Engineer

Mandatory Skills : Gen AI / Python / Azure OpenAI / TensorFlow / Azure ML / Bus. Process-Life Sciences

SR. AI Engineer

Skills-

Advanced AI Skills

Proficiency in Python

Educational Qualifications : Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field.

Specialization in Natural Language Processing is preferred.

• Experience Requirements : 10 years of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the MedTech Healthcare Life Sciences domain .
• Prior experience in identifying new opportunities to optimize the business through analytics, AIML and use case prioritization.
• The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise.
• Large Language Model Expertise : Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools.
• Application Development with LLMs : Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models.
• Language Model Development : Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications.
• Cloud Computing Expertise : Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services.
• Technical Proficiency : Strong skills in UNIXLinux environments and command-line tools.
• Programming and ML Skills : Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models.
• Advanced AI Skills and Testing : Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AIML solutions as a serviceREST API on Cloud or Kubernetes, and proficiency in testing of developed AI components.
• Responsibilities also include data analysis preprocessing for training and fine-tuning language models. "