Data & AI Engineer
Sanofi is hiring a Data & AI Engineer in Hyderabad, India. Level rates it ; you can apply on Sanofi.
Level's read on this job
- On Level's scale, this AI engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Snowflake, Python and PySpark.
- Level classifies it as a senior role.
- Level lists 1,000+ other open roles at Sanofi.
- The role was posted within the past week.
AI in this role
Design and manage backend application logic, data ingestion pipelines, and infrastructure as a Data & AI Engineer.
About the job:
• Ownership of the entire back end of the application including the design, implementation, test, and troubleshooting of the core application logic, databases, data ingestion and transformation, data processing and orchestration of pipelines, APIs, CI/CD integration and other processes
• Fine-tune and optimize queries using Snowflake platform and databases techniques
• Optimize ETL/data pipelines to balance performance, functionality, and other operational requirements
• Assess and resolve data pipeline issues to ensure performance and timeliness of execution
• Assist with technical solution discovery to ensure technical feasibility
• Assist in setting up and managing CI/CD pipelines and development of automated tests
• Developing and managing microservices using python
• Conduct peer reviews for quality, consistency, and rigor for production level solution
• Design application architecture for efficient concurrent user handling, ensuring optimal performance during high usage periods
• Promote best practices and standards for code management, automated testing, and deployments
• Own all areas of the product lifecycle: design, development, test, deployment, operation, and support
• Create detail documentation on Confluence to be able to support and maintain codebase and its functionality
Qualifications
• 4+ years of relevant experience developing backend, integration, data pipelining, and infrastructure
• Bachelor’s degree in computer science, engineering, or similar quantitative field of study
• Expertise in database optimization and performance improvement
• Expertise in Python, PySpark, and Snowpark
• Experience data warehouse and object-relational database (Snowflake and PostgreSQL) and writing efficient SQL queries
• Experience in cloud-based data platforms (Snowflake, AWS)
• Proficiency in developing robust, reliable APIs using Python and FastAPI Framework
• Understanding of data structures and algorithms
• Experience in modern testing framework (SonarQube, K6 is a plus)
• Strong collaboration skills, willingness to work with others to ensure seamless integration of the server-side and client-side
• Knowledge of DevOps best practices and associated tools, a plus, especially in the setup, configuration, maintenance, and troubleshooting of associated tools:
o Containers and containerization technologies (Kubernetes, Argo, Red Hat OpenShift)
o Infrastructure as code (Terraform)
o Monitoring and Logging (CloudWatch, Grafana)
o CI/CD Pipelines (JFrog Artifactory)
o Scripting and automation (Python, GitHub, Github actions)
Why choose us?
- Bring the miracles of science to life alongside a supportive, future-focused team.
- Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
- Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas.
Pursue Progress. Discover Extraordinary.
Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
Pursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
How we rate this
Data & AI Engineer at Sanofi rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $185k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- Tell me about a project where backend was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where ci/cd was part of your work. What did you do?
- Tell me about a project where api development was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Backend, Data Engineering, ETL, CI/CD, and API Development. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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