Cloud Engineer

#LIPost

Job Summary
• This role is responsible for leading the design, implementation, and maintenance of complex software systems that meet specific business needs or technical requirements. The role works at the intersection of software development, system architecture, and project management to ensure the successful development and deployment of software solutions that address a wide range of challenges and requirements. The role optimizes software systems for enhanced performance, scalability, and resource efficiency to deliver an optimal end-user experience.
 

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field.
• A minimum of 4 to10 years of experience in data science, with a significant portion dedicated to roles such as Data Architect, Data Scientist, or Data Engineer. A strong portfolio demonstrating the design and implementation of advanced data solutions is essential.
• Deep expertise in data modeling, data warehousing, database design, and the application of big data technologies. Proficiency in cloud platforms like AWS, Azure, and Google Cloud is a must.
• Advanced knowledge in ETL tools, SQL/NoSQL databases, and proficient in programming languages relevant to data science and AI.
• Demonstrated experience with Large Language Models (LLMs) and current Gen AI concepts, indicating a strong grasp of the latest advancements and their practical applications.
• Solid understanding of machine learning algorithms, data processing frameworks, and data visualization tools, with the ability to apply these in innovative ways to solve complex problems.
• Exceptional problem-solving skills, with a strategic and analytical mindset that excels in uncovering insights from data.
• Outstanding leadership qualities, with the ability to guide teams towards achieving their goals through effective communication and collaboration.
• A demonstrated passion for continuous learning, with a curiosity to explore unknowns and push boundaries in the field of Data Science and Gen AI. This includes staying abreast of the latest research, technologies, and methodologies to drive innovation.

Desirable Skills:

• Experience with implementing AI solutions in a business context, translating technical insights into actionable business strategies.
• Familiarity with ethical AI practices, including understanding the importance of bias mitigation, fairness, and transparency in AI models.
• Ability to mentor and develop talent within the team, fostering a culture of innovation and excellence.
• Proven track record of contributing to or leading research projects in AI, with publications in peer-reviewed journals or major conferences a plus.

Responsibilities:

• Lead the development and implementation of advanced data and AI strategies, ensuring alignment with organizational goals.
• Design, build, and maintain scalable data pipelines and architectures, incorporating the latest in AI technologies and methodologies.
• Spearhead research and development initiatives in Gen AI and data science, driving innovation and maintaining our competitive edge in the market.
• Collaborate with cross-functional teams to understand business needs, providing data-driven insights and AI-powered solutions to complex challenges.
• Stay ahead of industry trends and advancements in AI and data science, integrating new technologies and approaches to enhance our capabilities.

Impact & Scope
• Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.
Complexity
• Responds to moderately complex issues within established guidelines.
Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.