Cloud Services Specialist

stc Bahrain; Bahrain; On-site; BHD 22,500 - 27,500; Full time

Job summary

An innovative firm is seeking a driven professional to lead the development of cloud-based data solutions using cutting-edge AI and ML technologies. In this pivotal role, you will spearhead the design and deployment of scalable data products while collaborating closely with engineering and presales teams. Your expertise will help shape impactful customer offerings, addressing key pain points in data storage and analysis. With a focus on leveraging platforms like AWS, Google Cloud, and Azure, you will enable data-driven decision-making and predictive analytics. If you are passionate about transforming data challenges into strategic advantages, this opportunity is perfect for you.

Qualifications

• Expertise in cloud-based data solutions and AI/ML technologies is essential.
• Strong understanding of data lakes, warehouses, and ETL pipelines required.

Responsibilities

• Lead the design and deployment of scalable data products and services.
• Collaborate with engineering teams to execute the product roadmap effectively.
• Act as a technical advisor, engaging with customers to address their data challenges.

Skills

Cloud-based solutions

AI/ML technologies

Data architecture

Data analysis

Product management

Education

Bachelor's degree in Computer Science or related field

Master's degree in Data Science or related field

Tools

AWS Redshift

Google BigQuery

Azure Synapse Analytics

TensorFlow

PyTorch

AWS SageMaker

Azure ML

Job description

Lead the development and management of cloud-based data-driven solutions, leveraging advanced AI/ML technologies to create impactful customer offerings. The role will also involve collaboration with the presales team to design and position innovative products and solutions for our customers.

Identify, define, and prioritize cloud-based products with a focus on data solutions and AI/ML capabilities.

Lead the design, development, and deployment of scalable data products and services.

Develop strategies to address key customer pain points in data storage, processing, and analysis.

Partner with engineering teams to ensure the successful execution of the product roadmap.

Oversee data architecture and integration strategies for cloud-based solutions.

Utilize knowledge of data lakes, data warehouses, ETL pipelines, and real-time analytics tools.

Leverage platforms like AWS Redshift, Google BigQuery, or Azure Synapse Analytics for designing robust data solutions.

Enable data-driven decision-making by implementing advanced analytics and visualization solutions.

Design AI/ML solutions that address real-world business challenges.

Incorporate AI/ML frameworks like TensorFlow, PyTorch, and cloud-native AI/ML services (AWS SageMaker, Azure ML).

Enable predictive analytics, natural language processing, and computer vision capabilities within the cloud portfolio.

Collaborate with the presales team to create tailored cloud solutions for customers, focusing on data management and AI/ML opportunities.

Act as the primary technical advisor during client engagements, highlighting the unique value of proposed solutions.

Engage with customers to understand their data challenges and align solutions to their needs.

Conduct competitive analysis to identify opportunities for differentiation in data and AI/ML services.

Gather feedback to refine and enhance product offerings.

Perform other responsibilities as required by higher levels of supervision.