Senior Consultant - AI Engineer

Job Title: Senior Consultant - AI Engineer

Grade: D1/D2

Introduction to role

Are you ready to disrupt an industry and change lives? As a Consultant AI Engineer, you'll apply your algorithmic, data exploration, and computational skills to develop AI and data science solutions across multiple business areas. This technical role involves managing aspects of projects within your specialist area, with a full understanding of how your function contributes to achieving the business's objectives. You'll have the freedom to act independently, delivering high standards and influencing others with the quality of solutions you develop. Are you prepared to manage risk in novel situations and make a direct impact?

Accountabilities

• Develop, design, and implement applications through a full-stack development approach.

• Work with multi-functional teams to architect scalable AI solutions, integrate APIs, and ensure seamless user experiences.

• Develop and implement machine learning models and pipelines to support various business needs.

• Apply Generative AI techniques to enhance application capabilities, such as natural language processing, image generation, and predictive modeling.

• Maintain and improve existing AI applications, focusing on performance, scalability, and robustness.

• Collaborate closely with data scientists, product managers, and other partners to design and implement AI strategies.

• Continuously research and evaluate emerging technologies to drive innovation within the organization.

• Lead clean, maintainable, and efficient code while following standard processes for AI development.

Essential Skills/Experience

• Experience as a Full Stack Developer with a focus on AI and machine learning applications.

• Strong proficiency in programming languages such as Python, JavaScript, or Node.js.

• Experience with frontend frameworks such as React, Angular, or Vue.js and backend technologies including RESTful APIs, Django, or Flask.

• Expertise in machine learning frameworks like PyTorch or Scikit-learn.

• Experience with Generative AI models and techniques, such as GANs or transformers.

• Experience with OpenAI, bedrock models, cognitive services etc.

• Experience with cloud platforms like AWS, Azure, or Google Cloud, specifically in deploying AI/ML applications.

• Strong understanding of databases such as SQL, NoSQL, and data warehousing solutions like Snowflake.

• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

• Experience with DevOps practices and tools for continuous integration and deployment (CI/CD).

• Knowledge of microservices architectures and containerization tools like Docker and Kubernetes.

• Familiarity with version control systems such as Git etc.

• Establish and make sure development standards, security protocols, and compliance requirements across custom engineering projects.

• Conduct regular code reviews, performance evaluations, and audits to ensure the integrity and reliability of delivered solutions.

• Collaborate with IT governance teams to ensure alignment to interpersonal policies and standards.

Desirable Skills/Experience

• Experience in enterprise-level integrations and data engineering projects.

• Familiarity with data visualization tools such as Tableau or Power BI.

AstraZeneca offers an environment where innovation thrives. Here, your work has a direct impact on patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms. With a passion for impacting lives through data, analytics, AI, machine learning, and more, you'll be part of a team that drives cross-company change to disrupt the entire industry. Our dynamic environment offers countless opportunities to learn and grow while shaping your own path with support all the way.

Ready to make a meaningful impact? Apply now to join us on this exciting journey!

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.