AIML Scientist

Requirements

• 24 years of hands-on experience in data science or applied machine learning.
• Proficiency in Python and key machine learning libraries such as scikit-learn XGBoost and Hugging Face.
• Strong skills in data wrangling feature engineering and model evaluation.

Experience with generative AI and large language models (e.g. transformers embedding).

• Ability to build scalable end-to-end AI pipelines.
• Experience with cloud-based ML platforms (AWS GCP or Azure).
• Ability to stay current with emerging AI / ML trends and apply new techniques to solve real-world problems

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive insurance plans.
• Collaborative and supportive work environment
• Chance to learn and grow with a talented team.
• A positive and fun work environment.

Required Skills :

24 years of hands-on experience in data science or applied machine learning. Proficiency in Python and key machine learning libraries such as scikit-learn XGBoost and Hugging Face. Strong skills in data wrangling feature engineering and model evaluation. Experience with generative AI and large language models (e.g. transformers embedding). Ability to build scalable end-to-end AI pipelines. Experience with cloud-based ML platforms (AWS GCP or Azure). Ability to stay current with emerging AI / ML trends and apply new techniques to solve real-world problems

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full Time

Experience : years

Vacancy : 1