ML Engineer

Minimum 5 year experience in NLP Minimum 2 years of experience in Gen AI
• Master’s degree in computer science Computer Engineering relevant technical field or equivalent practical experience.
• Programming experience in Python.
• Handson experience ML NLP and DL. Research experience in them is a plus.
• Handson experience with DL frameworks like PyTorch/Tensorflow. Must have experience with training/finetuning and deploying a DL NLP model.
• Handson experience with instruction tuning and SFT on LLM. Experience with model quantization or computational optimizations is a plus.
• Proficient in leveraging LangChain for the development and integration of LLMs into diverse applications demonstrating a strong ability to enhance AI functionalities through
innovative uses of natural language processing and understanding.
• Experience with developing ML models at scale from inception to production.
• Familiarity with one of the cloud platforms like AWS GCP and Azure.
• Experience with applying LLMs in the Healthcare space is a plus.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.


Responsibilities:
• Design methods tools and infrastructure to push forward the state of the art in large language models.
• Deploy monitor and manage ML models in production ensuring high availability and low latency.
• Manage and optimize ML infrastructure including cloud services containers and orchestration tools.
• Define research goals informed by practical engineering concerns.
• Contribute to experiments including designing experimental details writing reusable code running evaluations and organizing results.
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters multicore SMP and GPU)