3 Opening(s)
5.0 Year(s) To 7.0 Year(s)
14.00 LPA TO 15.00 LPA
Job Description: We are seeking a highly skilled Full Stack Developer with expertise in Python and Angular for front-end development. As a Senior Python Developer, you will be responsible for leading the design, development, testing, deployment, and maintenance of our Python-based applications. This role requires strong technical expertise, leadership skills, ...
5 Opening(s)
8.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
Job Title: Senior Generative AI Consultant
Location: Remote
Employment Type: Full-time / Contract
Job Description:
We are seeking a highly motivated Generative AI Consultant with deep expertise in AWS services (especially Bedrock) and hands-on experience implementing Gen AI solutions. The ideal candidate is not only technically strong but also an excellent communicator who can translate complex AI concepts into business value.
Required ...
1 Opening(s)
20.0 Year(s) To 25.0 Year(s)
Not Disclosed by Recruiter
Job Description – Chief Operating Officer (COO)
Position Title: Chief Operating Officer (COO) – Group Company
Location: East Africa (with frequent regional/international travel)
Reports To: Group CEO / Chairman
Direct Reports: Divisional Heads of all the group companies
Supervises: 5000+ employees across multiple facilities
Company Overview
A major East African industrial conglomerate and a significant regional employer, ...
1 Opening(s)
2.0 Year(s) To 3.0 Year(s)
2.00 LPA TO 2.40 LPA
Value creation is the primary aim of any business entity. Creating value for customers helps sell products and services, while creating value for shareholders, in the form of increases in stock price, insures the future availability of investment capital to fund operations.
What is the role of value creation in entrepreneurship?
Value creation ...
1 Opening(s)
7.0 Year(s) To 20.0 Year(s)
30.00 LPA TO 40.00 LPA
Lead the design, development, and deployment of machine learning models and algorithms to solve complex business problems. ● Oversee the end-to-end machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment. ● Utilize AWS SageMaker to build, train, and deploy machine learning models. ● Leverage AWS Bedrock to develop ...