صاحب العمل نشط
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكترونيحالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكترونيJob Description
Roles and Responsibilities:
As a Associate Manager Senior Data scientist you will solve some of the most impactful business problems for
our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain
experts to design and develop innovative solutions on the data to achieve predefined outcomes.
Engage with clients to understand current and future business goals and translate business problems into
analytical frameworks
Develop custom models based on indepth understanding of underlying data data structures and business
problems to ensure deliverables meet client needs
Create repeatable interpretable and scalable models
Effectively communicate the analytics approach and insights to a larger business audience
Collaborate with team members peers and leadership at Tredence and client companies
Qualification:
Bachelors or Masters degree in a quantitative field (CS machine learning mathematics statistics) or
equivalent experience.
5 years of experience in data science building handson ML models
Experience with LMs (Llama (1/2/3) T5 Falcon Langchain or framework similar like Langchain)
Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large
Language Models) training data creation training setup and finetuning
Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models
Candidate must be comfortable with LORA RAG Instruct finetuning Quantization etc.
Experience leading the endtoend design development and deployment of predictive modeling
solutions.
Excellent programming skills in Python. Strong working knowledge of Pythons numerical data analysis
or AI frameworks such as NumPy Pandas Scikitlearn Jupyter etc.
Advanced SQL skills with SQL Server and Spark experience.
Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and
Unsupervised) and deep learning algorithms and Artificial Neural Networks
Experience with Natural Language Processing (NLTK) and text analytics for information extraction parsing
and topic modeling.
Excellent verbal and written communication. Strong troubleshooting and problemsolving skills. Thrive in
a fastpaced innovative environment
Experience with data visualization tools PowerBI Tableau R Shiny etc. preferred
Experience with cloud platforms such as Azure AWS is preferred but not required.
Remote Work :
No
دوام كامل