Director, ML/AI Cloud Engineering
Are you passionate about pushing the boundaries of technology to drive innovation and advance the future of healthcare? Do you have a strong background in machine learning and artificial intelligence, coupled with extensive experience in cloud engineering? If so, AstraZeneca may have the perfect role for you. We are seeking a Director of ML/AI Cloud Engineering to lead our team in developing cutting-edge solutions and strategies to support our mission of improving patient outcomes. As a key member of our dynamic and collaborative team, you will have the opportunity to make a significant impact on the healthcare industry while utilizing your expertise and leadership skills. Join us and be a part of our journey to transform the way we approach healthcare. This role requires a combination of technical proficiency, strategic thinking, and strong leadership capabilities. If you possess these qualities and are ready for a new challenge, we encourage you to apply.
- Develop and implement innovative strategies and solutions utilizing machine learning and artificial intelligence to support AstraZeneca's mission of improving patient outcomes
- Lead a team of cloud engineers in designing and implementing cutting-edge technologies and methodologies to support the company's goals
- Collaborate with cross-functional teams to identify and prioritize key areas for technology advancements and drive innovation in the healthcare industry
- Stay current with industry trends and advancements in machine learning, artificial intelligence, and cloud engineering to continuously improve and enhance AstraZeneca's capabilities
- Develop and maintain strong relationships with key stakeholders to ensure alignment and support for technology initiatives
- Manage and monitor project timelines and budgets, ensuring timely delivery and within allocated resources
- Mentor and develop team members to support their professional growth and contribution to the company
- Maintain a high level of technical proficiency in machine learning, artificial intelligence, and cloud engineering and provide guidance and support to the team as needed
- Communicate effectively with senior leadership and present complex technical concepts in a clear and concise manner
- Foster a collaborative and inclusive team culture to promote innovation, collaboration, and knowledge sharing.
Strong Technical Expertise In Machine Learning And Artificial Intelligence: The Ideal Candidate Should Have A Deep Understanding Of Ml/Ai Techniques, Algorithms, And Frameworks. They Should Also Be Well-Versed In Cloud Computing Platforms And Technologies.
Extensive Experience In Cloud Engineering: The Director Should Have A Proven Track Record Of Designing, Developing, And Deploying Ml/Ai Solutions On Cloud Platforms Such As Aws, Azure, Or Gcp. They Should Have A Thorough Understanding Of Cloud Infrastructure, Security, And Data Management.
Leadership And Management Skills: As A Director, The Candidate Should Have Experience In Leading And Managing A Team Of Ml/Ai Engineers. They Should Have Strong Communication And Interpersonal Skills, As Well As The Ability To Mentor And Guide Team Members.
Strategic Thinking And Problem-Solving Abilities: A Successful Director Should Be Able To Think Strategically And Identify Opportunities For Applying Ml/Ai Technologies To Improve Business Outcomes. They Should Also Have Strong Problem-Solving Skills To Address Any Technical Challenges That May Arise.
Experience In The Pharmaceutical Or Healthcare Industry: While Not A Mandatory Requirement, Previous Experience In The Pharmaceutical Or Healthcare Industry Would Be A Valuable Asset For A Director At Astrazeneca. This Would Provide A Deeper Understanding Of The Company's Goals And Challenges, And Allow For More Targeted And Impactful Ml/Ai Solutions.
Project Management
Team Management
Agile development
DevOps
Machine Learning
Cloud Computing
Artificial Intelligence
Cloud Infrastructure
Data Analytics
Technical Leadership
Predictive modeling
Big
Communication
Conflict Resolution
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
Empathy
According to JobzMall, the average salary range for a Director, ML/AI Cloud Engineering in Gaithersburg, MD, USA is $149,000-$200,000 per year. This may vary depending on factors such as education, experience, and the specific company or organization.
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AstraZeneca plc is a British-Swedish multinational pharmaceutical and biopharmaceutical company.
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