Cloud Architect (AI)

Lilly

Oct 30

Applications are closed

Job
Full-time
Senior & Expert Level
Data
IT & Cybersecurity

Requirements

Required /Proven experience with the following:
Designing, developing, and researching Machine Learning systems, models, and schemes through data science and data analytics prototypes.
Understanding of Natural Language Processing(NLP), Natural Language Understanding(NLU) and Natural Language Generation(NLG)
Develop and implement technical efforts to design, build, and deploy AWS ML models at the direction of lead architects, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics
Familiarity with deep learning, machine learning and NLP/NLG frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, gensim, CoreNLP etc.)
Should have experience in AWS services such as SageMaker, Elasticsearch, and general knowledge of AWS architecture & other services
Ability to write robust code in Python, Java and R
Experience optimizing model hyperparameter tuning for speed and cost
Experience in building MLOps pipeline using MLOps frameworks like Kubeflow, MLFlow, and DataRobot
Experience with Docker and Kubernetes
Familiarity with Eventbridge and AWS step function for workload orchestration
Experience with Agile Development.
Good experience in process improvement/change management methods
Knowledge of various aspects of an enterprise technology architecture like business, information, data, network, and security
Understanding and knowledge of system development life cycle methodologies (such as waterfall, agile software development, rapid prototyping, and DevOps)
Understanding and knowledge of IT service management (ITSM) and Information Technology Infrastructure Library (ITIL)
Excellent analytical, planning, organizational and technical skills
Skilled at influencing, guiding, and facilitating stakeholders and peers with decision making
Ability to articulate new ideas and concepts to technical and nontechnical audiences
Ability to understand the long-term ("big picture") and short-term perspectives of situations
Desirable Skills:
8-16 years of production model deployment experience for ML solutions
Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed
Strong teamwork, problem-solving, and analytical skills
Deep knowledge of math, probability, statistics and algorithms
Strong understanding of Pharma Quality Standards and Practices
Excellent leadership and interpersonal skills (both verbal and written)

Responsibilities

Work in tandem with our engineering partners to identify and implement the most optimal cloud-based ML solutions for the company
Research, design and adopt cutting-edge NLG algorithms to address real-world challenges such as summarisation
Define and document best practices and strategies regarding deployment and infrastructure maintenance
Ensure ML Model performance, uptime, and scale, maintaining high standards of code quality and thoughtful design
Maintain a platform that automates creating, training, deploying and updating machine learning models
Managing BI Platforms in accordance with company security guidelines
Build effective relationships with business areas, strategic vendors, and key delivery partners such as the Advanced Analytics and Data Sciences (AADS) group to share expertise and seek opportunities to reuse internal processes and services, so we can streamline implementation and support of key systems

FAQs

What is the primary role of the Cloud Architect (AI) at Lilly?

The primary role is to lead the development and implementation of machine learning systems, focusing on data collection, cleaning, preprocessing, training models, and deploying them to production, particularly in the context of Natural Language Technology (NLT).

What qualifications are required for this position?

The position requires proven experience in designing and developing machine learning systems, understanding Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG), and familiarity with various machine learning frameworks and AWS services.

What programming languages should candidates be proficient in?

Candidates should have the ability to write robust code in Python, Java, and R.

How much experience is desirable for applicants?

A desirable range of experience is between 8 to 16 years in production model deployment for machine learning solutions.

Is experience with cloud services necessary?

Yes, experience with AWS services such as SageMaker, Elasticsearch, and general knowledge of AWS architecture is required.

What are the essential skills for this role?

Essential skills include strong analytical, planning, organizational, and technical skills, as well as the ability to influence stakeholders and articulate complex ideas to both technical and non-technical audiences.

Will I be working with a team in this role?

Yes, collaboration is key; you will work closely with engineering partners, business areas, and other delivery partners like the Advanced Analytics and Data Sciences group.

Does Lilly support diversity and inclusion in hiring?

Yes, Lilly is committed to diversity and inclusion, ensuring equal opportunities and actively encouraging individuals with disabilities to apply.

What is the company culture like at Lilly?

Lilly values a culture that unites caring with discovery, prioritizing people and their well-being, while striving to make life better for individuals around the world.

Is there a focus on ongoing learning and development in this role?

Yes, the role requires a willingness to learn and adapt, as well as a desire to succeed and ownership of responsibilities associated with advanced machine learning implementations.

Lilly

We're a medicine company turning science into healing to make life better for people around the world.

Manufacturing & Electronics

Industry

10,001+

Employees

1876

Founded Year

Mission & Purpose

Eli Lilly and Company is a global pharmaceutical firm dedicated to discovering, developing, and delivering innovative medicines that improve patient outcomes worldwide. Their ultimate mission is to make life better for people around the globe through high-quality healthcare solutions. The purpose of the company is to create medicines that help people live longer, healthier, and more active lives, while maintaining a commitment to ethical standards, scientific excellence, and integrity in all their operations.