FAQs
What is the job title for this position?
The job title is Python SME (Subject Matter Expert).
What experience is required for this role?
The ideal candidate should have 15 to 17 years of experience in relevant fields.
What are the main responsibilities of this job?
Responsibilities include leading the design and development of AI and ML solutions, implementing Generative AI models, optimizing data storage with GCP BigQuery, developing applications in Advanced Java, integrating data with Azure Data Factory, and maintaining data processing pipelines with PySpark, among others.
What programming languages and technologies should candidates be proficient in?
Candidates should be proficient in Python 3.x, Advanced Java, GCP BigQuery, Azure Data Factory, and PySpark.
Is experience in the Finance & Accounting domains required?
While not required, experience in Finance & Accounting domains is considered a plus.
What certifications are required for this position?
Candidates must have the Certified AI&ML Professional, GCP BigQuery Certification, and Azure Data Engineer Associate certifications.
What type of work model is offered for this role?
This position offers a hybrid work model with day shifts and no travel required.
What skills are emphasized in the qualifications for this job?
The qualifications emphasize extensive experience in AI&ML concepts, strong problem-solving and analytical skills, as well as excellent communication and collaboration abilities.
Will the candidate be expected to conduct code reviews?
Yes, the candidate will be expected to conduct code reviews and provide constructive feedback to team members.
How important is it for candidates to stay updated with technology advancements?
It is very important, as candidates are expected to stay updated with the latest advancements in AI and ML technologies.