About the role

Aplyr's Quick Take

This role is for a senior AI engineer focused on developing and integrating AI solutions in the pharmaceutical sector. You'll work on data-driven decision-making, manage AI model development, and collaborate with various teams to solve complex business problems. It's primarily an individual contributor role with some project management responsibilities.

Good fit

Ideal candidates have over 8 years of experience in AI/ML engineering, preferably with a strong background in data science and a PhD. You should be adaptable, able to work across different business domains, and comfortable managing projects and budgets.

Worth noting

The position offers relocation support and is hybrid, which could be appealing. However, the role's emphasis on managing budgets and staffing may suggest a heavier workload than typical for a purely technical position.

Job Description Summary

Job Title: Sr. Specialist DDIT US&I AI Engineering

#LI-Hybrid

Location: Hyderabad, India

Relocation Support: Yes

This position is pivotal in identifying and incubating cutting-edge AI technologies that align with the strategic goals of the company, enhancing the capabilities in data-driven decision-making and is crucial in defining and promoting best practices in AI model development and deployment.

AI Engineer through their forward-thinking ensure seamless integration of innovative AI solutions into existing frameworks, ensuring they are scalable, reliable, and tailored to meet the unique demands of the pharmaceutical industry. The AI Engineer will con-tribute to our mission of advancing healthcare through technology, ultimately improving patient outcomes and driving business success.

Job Description

Key Responsibilities:

Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discover actionable insights, and automate processes for reducing effort and time for repeated use.
Architect and develop end-to-end AI/ML and Gen AI solutions, focusing on scalability, performance, and modularity while ensuring alignment and best practices with enterprise architecture standards.
Manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its useful lifecycle.
High agility to be able to work across various business domains. High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact.
Independently manage budget, ensuring appropriate staffing and coordinating projects within the area.
Collaborate with globally dispersed internal stakeholders and cross-functional teams to solve critical business problems and deliver successfully on high visibility strategic initiatives.

Essential Requirements

Education & Qualifications

• Advanced degree in Computer Science, Engineering, or a related field (PhD preferred).

Experience

8+ years of experience in AI/ML engineering (data engineering could be appropriate depending on experience), with at least 2 years focusing on designing and deploying LLM-based solutions.
Strong proficiency in building AI/ML architectures and deploying models at scale with experience in cloud computing platforms such as AWS, Google Cloud, or Azure.
Deep knowledge of LLMs and experience in applying them in business contexts.
Knowledge of containerization technologies (Docker, Kubernetes) and CI/CD pipelines Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps tools for scalable deployment.
Experience with API development, integration, and model deployment pipelines.
Strong problem-solving skills and a proactive, hands-on approach to challenges.
Ability to work effectively in cross-functional teams and communicate technical concepts clearly.
Excellent organizational skills and attention to detail in managing complex systems

Commitment to Diversity & Inclusion

We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Accessibility and accommodation

Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Skills Desired

Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Logistic Regression Model, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis

Skills & Tags

Aplyr's read

Novartis is a Swiss-based global healthcare leader, known for its focus on innovative medicines and commitment to addressing patient needs through diverse roles.
Synthesized from recent postings & public sources

What's promising

•Novartis invests heavily in research and development, driving innovation in pharmaceuticals.
•The company offers a wide range of global career opportunities across various fields.
•Strong focus on cutting-edge therapies, including gene therapy and AI-driven solutions.

What to watch

•Regulatory challenges can impact the speed of drug approval and market entry.
•High competition in the pharmaceutical industry requires constant innovation to maintain market position.
•Complex organizational structure may slow decision-making processes.

Why Novartis

•Novartis has a robust pipeline of innovative medicines, setting it apart in the healthcare sector.
•The company emphasizes a diverse and inclusive workplace culture across its global operations.
•Novartis is a leader in digital transformation within pharmaceuticals, integrating AI and data science.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Novartis

Novartis

novartis.com

View company

Novartis is a global healthcare company based in Switzerland that provides solutions to address the evolving needs of patients worldwide. It focuses on innovative medicines, generics, and eye care.