Director of Data Science (Solutions/Systems Lead, AI/ML Ops) - Abu Dhabi, UAE

placeAbu Dhabi calendar_month 

Company:Qualcomm Technologies Middle East LimitedJob Area:Engineering Group, Engineering Group > Software Applications Engineering

General Summary:

About the Role:

We are seeking a highly skilled and visionary Director of Data Science to lead our AI/ML Ops and data science engineering initiatives. You will have a deep understanding of AI/ML stacks, deep learning frameworks, computer vision, ML models including LLM, ML serving frameworks and advanced techniques like fine-funding and RAG.

Track record of driving technical excellence and innovation in the field of applied AI is essential.

You will be experienced in functional & technical leadership, developing data science solutions for AI workloads and leading the team with end-to-end delivery (design, development, maintenance, and optimization) of advanced analytical solutions with focus on process standardization and best practices

You will be proactive in reaching out to wide variety of stakeholders and internal partners and external customers for building up Data Science, ML and GenAI capabilities and solutions and identifying and delivering business value driven opportunities to key customers.

You will analyse the market and industry trends in the technology and proactively look for opportunities in bringing the best solutions

Key Responsibilities will include:

Strategic Tech Leadership: Develop and execute a strategic vision for AI/ML Ops and data science engineering teams that aligns with overall business objectives in the region.

Technical Expertise: Lead the design and architecture of scalable, reliable, and secure AI/ML solutions.

Innovation: Drive innovation by exploring and implementing cutting-edge AI/ML technologies and methodologies.

Collaboration: Work closely with cross-functional teams and global teams, including engineering, data science, and product management, to deliver high-quality solutions. Collaborate with regional ML/AI ecosystem of AI practitioners and developers.

Mentorship: Mentor and guide junior machine learning engineers and data scientists, fostering a culture of continuous learning and development.

Customer Engagement: Actively support key customers in the area of AI/ML systems and solutions and applications.

What are we looking for?

Education: Master’s degree in Computer Science, Engineering, or a related field; advanced degree preferred.

Experience: Minimum of 10 years of experience in data science or software engineering, with at least 5 years in a leadership role focused on AI/ML Ops and data science engineering.

Skills:

  • Deep expertise in AI/ML stacks and frameworks.
  • Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Proven experience in designing and deploying large-scale distributed systems dealing with machine learning approaches
  • Deep understanding of compute HW and dedicated AI accelerators for AI inference workloads
  • Excellent problem-solving and analytical skills.
  • Strong communication and interpersonal skills.

Why Join Us:

  • Innovative Environment: Be part of a dynamic multi-disciplinary team that values creativity and innovation of applying ML approaches to solving complex problem.
  • Career Growth: Opportunities for professional development and career advancement.
  • Impact: Contribute to transformative projects that make a difference in the industry and society.

Minimum Qualifications:

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Applications Engineering, Software Development experience, or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Applications Engineering, Software Development experience, or related work experience.
  • 4+ years of experience with Programming Language such as C, C++, Java, Python, etc.
  • 4+ years of experience with debugging techniques.
  • References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here.
Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

(Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited.

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If you would like more information about this role, please contact Qualcomm Careers.

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